Have you recently noticed that your well-written blog posts do not get the visibility you’re used to? It’s not a figment of your imagination. The digital space constantly evolves, so traditional SEO strategies do not convert as easily.
The core issue? Search has changed. AI-powered tools like Copilot, Google SGE, Perplexity.ai, and Bing have taken over, giving today’s users direct answers rather than random search results. So, it gets ignored if your content is not structured to offer those direct answers.
This is where Answer Engine Optimization (AEO) comes in.
AEO is the progressive approach to optimizing your content for search and answer engines. It ensures your content gets picked, cited, and displayed as the default response in AI-generated summaries and zero-click results.
In this post, we will carefully explore the definition and mechanisms of AEO and how you can use them to grow your reach in 2025 and beyond.
Answer engine optimization (AEO) is a specialized content strategy that focuses on making your content easily visible and understandable to AI-powered search tools or answer engines.
These tools do not simply compile a list of links like traditional search engines; they extract and display the direct answers to user queries.
Its Emergence
The emergence of AEO was a response to the rapidly evolving nature of search. Platforms like Copilot, Google SGE, Perplexity.ai, and Bing have been searching for instant, structured answers, as users have requested.
Therefore, with AEO, your content is arranged to appear in these AI-generated summaries and responses.
Comparison to Traditional SEO
Traditional SEO enhances rankings through the use of backlinks, targeted keywords, and in-depth content. While this method might still be relevant, it’s not as effective as the modern tools in trend.
Answer engine optimization shifts the focus of your content from just ranking pages to answering questions. It requires anticipating user intent, utilizing structured data, and organizing content in a way that makes it easy for AI to extract value.
Search engines now utilize generative AI models that summarize all the information into a concise version rather than simply listing websites.
Why Traditional SEO Is No Longer Enough
The strategies you’re used to, like building backlinks, optimizing keywords, ranking for blue links, etc, are no longer giving you the same results in 2025. This issue arises because users no longer rely on traditional search methods to obtain the results they need.
Decline of Blue Links
Early on, with search engine optimization for results, Google’s search results were just a list of clickable blue links.
However, these links are becoming outdated today because AI-generated answers and summaries have become prevalent. Users do not need to click through a website to get what they need.
AI Overviews & Zero-Click Searches
With the introduction of Google’s AI Overviews, Bing Copilot, and platforms like Perplexity.ai, searches can provide direct, conversational answers from many internet sources.
These zero-click searches mean users don’t need to leave the results page to get what they want, leaving traditional SEO pages behind.
Shift to Structured, Intent-Driven Answers
Search engines have narrowed their focus down to user intent and structured content. It’s no longer enough to stuff in keywords; your content must clearly and directly answer questions in a way that can be easily interpreted and displayed.
That’s the main deal with answer engine optimization. It meets the needs of both the user and AI simultaneously.
Key AEO Strategies to Implement Today
Answer engine optimization is a practical approach that requires a high level of structure and very intentional formatting.
For your content to successfully rank in AI-driven search, it must be more than interesting. Your content must be clear, concise, and easy for machines and humans to parse.
There are specific actionable strategies you can begin as part of the process of incorporating AEO, including:
1. Use structured data (FAQ Schema, HowTo Schema).
Structured data gives search engines a way to understand the context and intent of your content. Implementing schema markup (FAQ, HowTo, Article, and Breadcrumb schemas) enables your content to be crawled, making it eligible for rich results and answer boxes.
2. Implement an answer-first format.
An excellent strategy is to put the answer at the top. Start your content with a clear, direct answer to the most relevant question, whether it’s a blog post, service description, or product page. As you keep writing, you can elaborate as you go, but ensure you always lead with clarity.
For example: Q: What is AEO? A: AEO stands for answer engine optimization, a strategy that ensures content ranks in AI-generated search responses by providing direct, clear, and structured answers.
3. Create conversational content with long-tail keywords.
AI search tools thrive on natural, question-based language. So, instead of just optimizing your content for “SEO tips,” use long-tail, intent-driven phrases such as “how to improve SEO for AI search engines” or “best practices for AEO in 2025.”
This method is how people ask questions and how answer engines retrieve responses.
4. Target featured snippets & “People Also Ask.”
Many answer engines draw from content already ranking in featured snippets or the “People Also Ask” section.
You can target these by arranging your posts with clear questions and straightforward responses, using numbered lists, bullet points, and short paragraphs that help users skim through easily.
If your traffic is dipping, rankings are inconsistent, or your content isn’t getting seen despite all your SEO strategies, you’re likely suffering through one of the growing pains of traditional search strategies.
This gradual shift to AI-driven search may cause several businesses and creators to struggle to adjust their content strategies. Still, you must look beyond to see the opportunities that abound.
Below is a quick breakdown of common pain points and how answer engine optimization can solve them:
Pain Point
Why It’s Happening
AEO Opportunity
Traffic is dropping from organic search.
Zero-click searches and AI overviews are providing users with answers without requiring them to visit websites.
Structure your content with clear, direct answers to show up in AI responses.
Featured snippets are going to competitors.
Competitors may be using structured data and answer-first formatting.
Use schema markup, bullet lists, and optimized Q&A sections to capture those positions.
Your content isn’t ranking for voice or AI search.
It’s likely not optimized for natural, conversational queries.
Use long-tail keywords and conversational phrasing to match user intent.
Keyword-stuffed content isn’t performing.
AI search engines value clarity and usefulness over keyword density.
Prioritize clear answers and logical formatting over keyword repetition.
Top Tools Supporting Answer Engine Optimization
Although search engine optimization might be new in the digital marketing world, numerous tools already support this strategy. These tools help discover user intent, give structured formatting, and simplify content creation that AI-powered search engines prefer.
Semrush
Semrush offers comprehensive keyword research options, including question-based queries and long-tail phrases.
Features such as the Keyword Magic Tool and Topic Research are essential for discovering the questions users are searching for. With this advantage, your content can be optimized easily for answer engines.
Surfer SEO
The Content Editor feature in Surfer SEO is invaluable for structuring your content, taking into account what’s ranking on Google. By optimizing content length, headings, keyword usage, and paragraph structure, this feature guarantees AEO success.
AlsoAsked
AlsoAsked is an SEO tool that visualizes the relationships between user questions on Google, particularly from the ‘People Also Ask’ feature.
This tool helps plan key elements of your content, such as FAQ sections and subheadings, so that your content answers follow-up questions naturally.
The Future of Search: What Comes After SEO?
Search is rapidly evolving. SEO has not lost its value; however, the spotlight is gradually shifting toward actual answers, predictive suggestions, and multimodal search experiences.
The question has moved from how people search to how machines deliver the best responses.
Here are a few updates to note:
Voice Search Is on the Rise
Devices like Siri, Alexa, and Google Assistant help users engage in voice-first interactions. This means that content needs to be question-based, conversational, and structured to facilitate swift responses.
Short, directed answers are more likely to be chosen by voice assistants.
Visual and Multimodal Search
Some tools allow users to search with images instead of keywords. These platforms include Google Lens and Pinterest Lens, among others. As a result, content creators have to think beyond text.
Therefore, matching optimized visuals with explicit texts improves their discoverability and relevance in image-based AI searches.
Predictive and Proactive Content Delivery
Search engines are now programmed to be proactive and anticipate users’ needs before they even type in a query. This method favors content that aligns with user intent, context, and behavior. The more aligned and focused your content is, the more likely it is to perform well in these systems.
Search has evolved from being just about blue links to providing the best answers, and it’s happening quickly, too.
If you are a blogger, content creator, or digital marketer, it is wise to adjust to answer engine optimization as it sets you ahead of competitors. It’s not just about being visible but about building relevance in the eyes of humans and machines alike.
FAQs on Answer Engine Optimization
What is the difference between SEO and AEO?
SEO focuses on making a website visible in traditional search results while AEO is about carefully creating content that directly answers specific user queries in a clear, concise manner so that AI-driven engines can pull and deliver the answers instantly.
How do I optimize for answer engines?
To optimize for answer engines, you must structure your content with headers and bullet points, use the FAQ or How-to schema markup, write in an answer-first format, focus on natural language and question-based queries, and include long-tail keywords with clear, specific answers.
What tools support AEO (Answer Engine Optimization)?
Specific tools like Semrush, Surfer SEO, and AlsoAsked are brilliant for optimizing and aligning content with AI-powered search behavior. Your content becomes more answerable by search engines like Perplexity.ai and Copilot.
Is AEO just a rebrand of SEO?
Not exactly. AEO builds on some SEO techniques, but they are distinct. AEO focuses on conversational language, user intent, and structured content for AI-powered search. It’s not much about keyword rankings as it is about delivering direct and helpful answers.
To start implementing AEO in your strategy, review your content first. Are you answering real questions? Are your posts structured so that AI can find them and display them?
Have you noticed that search results are not what they used to be? Instead of just a list of blue links with probable results to guide you on your search, you now see AI-generated summaries giving direct answers at the top of the search pages.
This evolution is evidence that traditional SEO tactics are no longer as effective. To stay ahead in the digital space in 2025 and beyond, businesses and content creators must adopt a new strategy for their search engine optimization: Generative Engine Optimization (GEO).
In this post, we will look at what generative engine optimization is, its working mechanics, and the best strategies to boost your content’s visibility, especially in AI-powered overviews.
Generative engine optimization, or GEO, is the simple process of optimizing in such a way that AI systems, like Bing Copilot or Google’s AI Overview, can understand, summarize, and display your content in answer boxes or summaries.
Unlike traditional SEO, which ranks webpages based on search engine results pages (SERPs), GEO is focused on being the best possible result within an AI-generated overview.
These summaries are not just from one page. Generative engines engage multiple AI models to collate and synthesize information from numerous high-quality sources.
Therefore, having clear, structured, and authoritative content is the first and most significant step in having your content featured in these AI-generated summaries.
Why GEO Matters Now More Than Ever
Search is becoming more intelligent than ever. AI is gradually replacing direct search results with concise and contextual overviews that provide a better user experience.
Platforms like Bing Copilot, Perplexity.ai, and Google’s AI Overview (formerly SGE) are all restructuring how users engage with content. GEO helps you remain relevant in this rapidly evolving space.
While there are certain similarities between GEO and SEO, their core goals and methods of execution differ. It is, therefore, essential to understand these key concepts to apply the results correctly.
SEO
GEO
Optimizes for rankings in search engine listings
Optimizes for inclusion in AI-generated summaries
Focuses on backlinks, keywords, and meta descriptions
Focuses on structure, clarity, and intent-based content
Prioritizes page optimization for bots
Prioritizes natural language and E-E-A-T for AI comprehension
Competes for space in the blue link rankings
Competes for space in AI response summaries
AI Overviews will not only scan your title but also break down your headers, edit your formatting, and analyze how quickly and clearly your content answers user queries. SEO is impressive; however, GEO emphasizes intent-driven, structured, and conversational content.
How to Create GEO-Friendly Content
If you need your website content or blog post to be featured in generative answers, these are the steps to follow:
1. Write clear, concise answers.
This strategy is the first step to making your content visible in generative answers. Use simple language that is direct and straight to the point. AI will always prefer clarity over fluff. Let your answer to the main query begin in the first 1-2 sentences.
2. Implement structured formatting.
Structured formatting is essential in generative engine optimization. AI models thrive on structured formatting. To ensure your content is appropriately formatted, use:
H1 for your main topic
H2s and H3s to organize subtopics
Bullet points and numbered lists
FAQs at the end
Structure helps AI segment and parse your content very quickly, allowing you to incorporate it into the summaries.
3. Prioritize E-E-A-T.
The E-E-A-T strategy is essential for generative engine optimization. It stands for Experience, Expertise, Authoritativeness, and Trustworthiness. Include author bios, cite very reputable sources, and showcase your credibility within your niche.
4. Target long-tail keywords & natural language.
Long-tail keywords are ideal because they are similar to what the user will input in their search. Questions like “What is generative engine optimization GEO?” or “How to do generative engine optimization?” are ideal. Ensure you make use of conversational, user-focused phrasing.
Also, ensure you use a conversational yet authoritative writing style. Use proper transitions, connect your ideas as clearly as possible, and always have your audience’s intent in mind.
Don’t ever ignore mobile optimization. So many AI-generated overviews are served on mobile-first environments. As a result, ensure your site is clean, fast-loading, and mobile-responsive, as this makes any GEO content more accessible and trustworthy.
At SARMLife, we’ve adjusted to the search evolution by helping clients all over the world fine-tune their content for AI readability.
Transitioning Clients from SEO to GEO
We arrange and audit existing content to explore and determine which pieces are easily extractable by AI. After that, we restructure these articles using the GEO framework and templates.
Tailored Content Writing Services
Our team specializes in curating and crafting answer-first blog posts, landing pages, and FAQs that align with the structural and contextual needs of AI-powered tools.
Website Optimization for AI Discoverability
At SARMLife, we don’t just write. We optimize. From schema markup to page layout, every piece is designed with machine comprehension in mind.
Our approach at SARMLife isn’t just about writing content; it’s about future-proofing your digital voice.
We start by mapping your content inventory against likely AI prompts and user queries. Then, we create content clusters and topical maps that ensure your authority in a given niche.
Whether you’re a SaaS company, a coaching brand, or a finance blog, we develop a GEO strategy unique to your business goals.
AI-generated summaries can be the best thing for your website in 2025 if you can implement the key generative engine optimization (GEO) strategies in this post.
As a blogger, brand, or business owner, integrating generative engine optimization today ensures your visibility tomorrow.
Remember, the rules of digital engagement have changed. Visibility is no longer only about being in the top three blue links. It’s about becoming a part of the conversation happening between AI and your audience. And GEO is your way into that room.
Save this post, share it with your team, and start rewriting your content strategy with GEO in mind.
FAQs about GEO
What is generative engine optimization (GEO)?
Generative engine optimization (GEO) is the simple process of optimizing in such a way that AI systems, like Bing Copilot or Google’s AI Overview, can understand, summarize, and display your content in answer boxes or summaries.
How does GEO affect my content strategy?
It shifts your focus from just keyword rankings to quality and content structure. GEO makes you write better, clearer, and more structured content.
What kind of content ranks best in AI summaries?
Well-structured content directly answers questions and demonstrates authority—for example, how-tos, definitions, FAQs, and expert breakdowns.
Can SARMLife help me improve my content visibility in AI results?
Yes! SARMLife offers customized content writing and optimization services specifically designed to help your content stand out in generative search tools.
Subscribe to our newsletter to get more tips on mastering GEO and AI-driven content.
Just as ChatGPT is becoming the new normal and the noise is going down, Google hits us with another AI update called Bard.
Google Bard is likely a response to Bing’s ChatGPT and its integration into the search engine, or has it always been on the horizon for Google?
Regardless, we get to experience yet another AI wonder.
The fact that this new tool is coming straight from Google has raised the question of what this means for SEO and SERPs, especially organic searches.
As much as Google hasn’t stopped releasing updates to how searches are answered, from knowledge graphs to featured snippets and rich snippets, are we set to experience major changes to Google Search?
Will Google Bard pose a threat to SEO writers and experts? How much of a change will Bard bring to how we see SEO?
Read this blog post to find out.
What is Google Bard?
Google Bard is an experimental conversational AI chatbot by Google that can predict reasonable responses based on the prompts it receives.
It is powered by LaMDA (Language Model for Dialogue Applications), a conversational AI model trained on information obtained from web data and public dialogue.
The model reads through trillions of words and picks up the patterns that make up human language.
These patterns allow it to predict the appropriate responses for different prompts.
The drama that birthed Google Bard
When OpenAI released ChatGPT, it took the world by storm to the extent that its platform could not contain the number of people who wanted access to the chatbot.
It was such an amazing experience, and I remember wanting to write a blog post about it but couldn’t get access, and when I finally did, I was ecstatic.
Afterward, Bing announced that it would add ChatGPT to its search engine, which was mind-blowing. Many people started using Bing to see how ChatGPT would work with a search engine.
This created the idea that Google was falling behind in technology, which is probably why many people think Google created Bard in response to ChatGPT.
However, Google’s CEO said Bard was created to “translate deep research and breakthroughs into products that truly help people.”
The launch of Google Bard was announced 68 days after the launch of ChatGPT on February 6, 2023. However, the announcement of Bard failed based on a factual error showcased in the demo.
According to Google Bard, at the time of the demo, it claimed that the James Webb Space Telescope took the first-ever picture of an exoplanet. However, it happened in 2004, and James Webb Space Technology took its picture of an exoplanet in September 2022.
Due to this error, Alphabet’s shares lost a hundred billion dollars in market value in just one day. People lost trust in Google’s ability to make a breakthrough in conversational AI technology.
Google, however, opened access to Bard on March 21, 2023, but access was limited to people in the US or UK; users also had to be over 18 years of age and join a waitlist.
However, on May 10, 2023, Google removed the waitlist and granted access to users from 180 countries.
How was Google Bard trained?
Many have wondered how Google Bard works and if it was trained with the same model as ChatGPT (GPT-3.5).
Although Google doesn’t explain the training process, we are sure it involved LaMDA, a large language model (LLM) built on a neural network architecture called Transformer.
LaMDA, according to Google, can engage in a free-flowing conversation with an open-ended nature that allows it to move from one topic to another.
It means that a conversation about a newly released American song can transition into the rise of K-pop and the division of Korea.
a. Factual grounding from external knowledge sources
This means Google Bard can consult external knowledge sources like an information retrieval system, a calculator, and a language translator to make its responses accurate and not just give responses that sound plausible but are nonsensical.
In other words, it can fact-check its responses, and when necessary, it can reference its sources.
According to the LaMDA research paper, it states that:
“We quantify factuality using a groundedness metric, and we find that our approach enables the model to generate responses grounded in known sources rather than responses that merely sound plausible.”
Sensibleness: This evaluates if the answer makes sense or not.
Specificity: This assesses the contextual relevance of the response to the prompt.
Interestingness: This measures if the answers are insightful and inspire curiosity.
b. Data annotation by crowd workers
According to the associated research paper on LaMDA, it was stated that “We find that crowd-annotated data is an effective tool for driving significant additional gains.”
Data annotation by crowd workers means Google employed the services of humans to evaluate the data before feeding it back to the model.
How does Google Bard work?
Google Bard came amidst much controversy, and we kept getting many unanswered questions like, “How does it work?”
The way Google Bard works is closely related to its training, which is the same for most language learning models.
Google Bard was trained using a lightweight version of LaMDA. This version of LaMDA is a smaller model that does not use much computing power, making it easy for Google to scale to more users and get more feedback.
What happens when you place a prompt in Google Bard?
Google did an amazing thing with Bard by giving it internet access. The researchers behind the creation of LaMDA recognized a problem with large language models—they were mimicking answers—which led to factual errors. These errors occur because they only reproduce and predict from the data given to them.
However, there is something called the temporal generalization problem, which is changes in facts based on new technology, scientific research, etc. The large language models will still reproduce the old facts when these facts change.
This is why the concept of freshness was introduced to Google Bard through its ability to access information retrieval systems (search engines).
“Bard seeks to combine the breadth of the world’s knowledge with the power, intelligence, and creativity of our large language models. It draws on information from the web to provide fresh, high-quality responses.”
So, when you input your prompts on Google Bard, it uses the data it has been trained with and fact-checks with the information retrieval system to give fresh, sensible, and specific answers.
Uses of Google Bard
There are many uses for Google Bard, and it’s impossible to list them all.
Here are some of its uses:
Generates codes
Generates topic ideas
Summarizes texts
Writes outlines
Translates texts
Solves math problems
Develops a detailed plan
Makes simple inquiries
Gives real-life advice
The list is endless!
You can use Google Bard in English, Japanese, and Korean; it is available in over 180 countries!
How to use Google Bard for SEO (with sample prompts)
Here are some SEO tasks I’ve done with Google Bard:
1. Content idea generation
You can use Google Bard to generate ideas for any niche of your choice. It helps you to save time trying to come up with new ideas.
The answers you get may not be perfect, but you can tweak them to fit your preferences.
I asked Google Bard to come up with five blog post ideas for an SEO agency, and it gave me some comprehensive ideas I can develop into power blog posts and regular posts as well.
Here is another prompt where I asked Bard to develop blog post ideas for a fashion brand, and the answers were fairly good.
2. Keyword Suggestions
You should know that when doing SEO, you must ensure your choice of keywords is verified and thoroughly accessed because your keyword choice can make or break your content’s visibility in search engines.
Remember, it is a KEYword!
So, no matter how great a chatbot or any large language model software is, try to do keyword research as manually as possible using the right keyword tools.
Also, I asked Google Bard to develop keyword suggestions for a blog post on ‘The Ultimate Guide to SEO for Small Businesses.’ Here’s the list it gave me.
Only a few of these keyword suggestions seem related to the blog post idea. Most of them are also too long and won’t do.
However, I can work with a few of them. The next step is to list these keywords and carry out proper keyword research on them.
I also asked Bard to separate these keywords based on their length (short, medium, and long-tailed).
3. Keyword intent
You can also use Google Bard to check for the search intent of various keywords. You can ask Bard to give you the search intent of all the keywords it listed, as I did here:
Or ask for a specific intent like this:
I discovered that the quality of my result was richer when I requested a specific type of intent instead of asking Bard to separate all the intents (i.e., navigational, transactional, informational, and commercial).
4. Headline generation
I was impressed with the optimized headline options I got from Google Bard.
It gave me five (5) different options, and this was the best of the three drafts.
To confirm the authenticity of these headline ideas, I verified them using IsItWP Headline Analyzer, and these were the headline scores they got:
Some of the headlines did fairly well, while one of the headlines even got a green color! The headline suggestion by Bard seems to be above average, and these were just five (5) options from a single draft.
5. Outline generation
You can use Google Bard to generate an SEO-optimized outline. It is useful and saves time with content research.
However, you still need to do basic content research to ensure you are getting all the points required for the post you are working on.
I tested out Google Bard on the blog post idea: ‘Ultimate Guide to SEO for Small Businesses,’ and these were the results I got:
This is the first draft, but I needed more detail for this particular content.
The second draft is a more appropriate outline for this particular blog post. If you want to rely on using Google Bard for SEO, go through all the drafts before exporting the answers to wherever you want to use them.
This last draft is too simple and does not hold the context of the blog post topic.
6. Content writing
You can use Google Bard to come up with your blog post content.
While Bard might not give you that 1,500-word blog post, you can use it effectively if you provide prompts for your subheadings instead of the entire post.
For example, suppose I’m writing a post on ‘Guide to SEO for Small Businesses’ instead of giving Bard a prompt on writing content for the topic. In that case, it’s more effective if I give it a prompt for each subheading, e.g., define SEO, benefits of SEO for small businesses, etc.
Here is Google Bard giving me content for my introduction:
The next picture is Google Bard giving me content for my first subheading:
If you notice, you will discover that most of the lines in the introduction are also in the definition of Local SEO I just got.
Here it is if you need another reminder to ensure you go through AI-generated content and not just copy and paste.
And although the first part of the definition was less detailed than I wanted, Bard ensured to include additional information to make up.
The last part of the answer to my prompt contained information on ‘important factors that affect Local SEO ranking.’ While I think that would have easily been another subheading, it still makes sense as the last part of the definition.
7. Code generation
Of course, I had to try using Bard to generate SEO-relevant codes.
First, I used it to generate a hreflang code for people with multiple versions of their websites in different languages.
Afterward, I tried generating a redirection code, but Bard wasn’t having it with me, as you can see here:
Either Bard needs to learn how to generate a redirection code, or I’m using the wrong prompts.
It also included a source for additional information on creating a robots.txt file.
Lastly, I attempted to create a schema markup code for a recipe page, and I must admit that I was impressed with the results.
Not only did I get my code, but I also got meaningful additional information.
Google Bard explained what schema markup was all about and shared tips for adding schema to recipe pages.
It indicated the case study source used to generate the schema code.
It gave me links to search schema markup-related topics on Google.
That was impressive, and if it gave answers for all prompts like this, I doubt we would have any complaints.
8. Statistics
Google Bard can also create statistics content for you.
At first, I got this type of response when I tried using Bard to create statistics.
Then, I changed the phrasing of my prompts and finally got an answer.
However, you have to be careful when using statistics generated by Bard because some of the statistics I got were inaccurate, nor were the sources indicated.
Google Bard can perform other tasks, such as translating keywords from one language to another. It can also summarize and paraphrase writing pieces to make them simpler or more professional.
Like every other chatbot, the results from Google Bard largely depend on your prompt.
Like the example I gave when discussing using Bard for keyword intent, I couldn’t get a more accurate output until I used specific prompts. The same goes for using Bard to write your content.
I discovered this when using Bard: break your prompts into smaller chunks to get the best output, especially when dealing with informative or long-form content.
Pros of using Bard for SEO
Here are some pros I’ve discovered about using Google Bard for SEO purposes:
a. Integration with Docs and Gmail
Using Google Bard, you can export your files to Google Docs or as an email draft.
This is convenient if you want to create simple content. However, you cannot export different answers to the same document.
For example, if you are working on a blog post using several prompts, you cannot export all the answers to a single document. Each time you export your answers, a new document automatically opens.
b. Additional information
Using Google Bard, you get additional information as part of your answers.
For example, if you ask for local SEO tools, you can get local SEO tips to enhance your SEO strategy.
Here’s an example of me asking for powerful blog post ideas, and Google Bard gave me additional tips for writing these types of posts.
c. Answer sources
Google Bard gives you the sources of some of its answers.
However, the sources are not always accurate.
Here’s an example:
From the keyword suggestion prompt, I asked Google Bard for its sources, and initially, it claimed to have gotten them from these platforms:
However, when I clicked on the second draft, the sources were not completely aligned with the first draft.
The differences might indicate that Bard didn’t use the sources as claimed. However, it could also mean that it used all the sources listed but put them in different lists.
When I created a content writing prompt for Bard, I scrolled down and discovered that it gave me links to some sources it used in answering that particular prompt.
Unlike the previous scenario where I had to request the sources, they didn’t have hyperlinks.
It’s safe to say that the sources cited by Google Bard are functional sites with slightly relevant content to what is being discussed on the chatbot.
Here’s an example:
This website is one of the cited sources by Google Bard on my prompt: ‘Write a 500-word introduction for a blog post on The Ultimate Guide to SEO for Small Businesses’.
While this might not be in the same context, it is still about SEO.
Here’s what Google has to say about Bard citing sources:
d. Alternative drafts
Google Bard gives you different drafts with different answers to choose from.
There are some prompts where I get two drafts, while I also get three for some.
Here’s a sample of a prompt showing three different drafts:
e. Option to further search via Google
Using Google Bard, you also get an option to further your search through Google, probably because Bard outsources answers from information retrieval systems, and Google has strong leverage over other search engines.
The button to further your search via Google is at the end of the answer to your prompt.
A click will take you to another tab to google your prompt and get relevant blog posts.
You can also search for related topics to your prompts directly from Google Bard. It analyzes the prompts you have inputted and suggests related searches.
For example, my prompt was ‘Guide to SEO for Small Businesses,’ and Bard could predict these three queries to further my search.
f. Future improvements
One of the advantages of Google Bard is that it knows what’s currently in the market, gets feedback from its wide range of users/testers, and gets more opportunities to improve its features.
The future improvements for Bard are numerous; this is an advantage because they don’t need to commercialize what has been tested and failed. Rather, Google can improve its successes and make better user options.
Despite how great Google Bard is, there are some limitations.
Google itself states on Bard’s homepage that it has a lot of limitations, and as such, you have to be watchful when using it and make significant suggestions to improve its features.
Here are some limitations of Google Bard:
a. Inability to hold context
Bard cannot hold context (i.e., it cannot remember previous conversations). While I tried to verify this claim, I discovered that Bard could hold context adequately.
Here is a sample:
Before this prompt, Bard had given me some blog post ideas, and I had asked it some follow-up questions. I then proceeded to ask another question without including the subject.
As you can see, I used ‘this’ to see if Bard could understand what ‘this’ in the context of my question meant.
And surprisingly, it did!
While it might be true that Bard cannot hold context in some cases, this attempt shows that it can remember previous conversations to a certain extent.
b. Hallucinations
According to Google, when prompted, Bard may give false positive and false negative answers. This can make you skeptical about trusting this chatbot mindlessly, and rightly so.
c. Biases
Google has stated that Bard can potentially create biases based on the training data it has learned over time because it is obtained from varying sources with different viewpoints and stereotypes. This learning model can incorporate specific opinions and leave out the rest.
This limitation might make Bard develop a kind of ‘personality,’ resulting in inappropriate or inaccurately biased results.
Impact of Google Bard on SEO and Search
The controversy about how Bard will change Google Search might have stemmed from the statement released by Sundar Pichai, the CEO of Google and Alphabet.
“Soon, you will see AI-powered features in Search that distill complex information and multiple perspectives into easy-to-digest formats, so you can quickly understand the big picture and learn more from the web: either that’s seeking out additional perspectives, like blogs from people who play both piano and guitar or going deeper on a related topic, like steps to get started as a beginner. These new AI features will begin rolling out on Google Search very soon.”
First, ‘features’ refer to a part of something and not necessarily the entirety of it.
Here’s an example of an AI-powered search result from Google.
We need to understand that Google has always updated the way Search is done over the years, and it is only appropriate they integrate AI features into their search engine, but that doesn’t mean that Bard will change Search.
Yes, there might be significant changes in Search that Bard may influence; however, Bard cannot replace Google Search, just like ChatGPT did not replace Bing.
Google Bard might only be a feature in Search, just like featured snippets, knowledge panels, and PAA was added to how results were shown on Google’s SERP.
However, if Bard is made a major part of Google Search, It might affect the results, especially regarding organic traffic.
Recent Google Bard Updates to Know!
As I stated earlier, Google has the advantage of getting insight from other AI chatbots like ChatGPT, and if they leverage these insights coupled with customer feedback, they have an advantage.
In two months, Google Bard has made several significant updates, some unprecedented changes.
I’ll explain these details with screenshots to show you how they work.
1. Images in Bard
Google Bard can now bring you images from Google Search and its response. It allows you to visualize the concepts of what you are searching for.
I tried to see this feature’s reliability and requested images along with my prompts.
Here are the results:
The incredible thing about this feature is that, with just a click on the image, Bard will take you to the source of the image.
For example, when I clicked on the images I got in the response, it took me to the source website.
2. Google Lens in Bard
Aside from the fact that you can now see images in your responses, you can also upload images along with texts, just like when using Google Lens to search the Internet.
All you need to do is go to this section on Bard.
After clicking on the link, you will get this prompt:
Note that this feature is only available in English.
3. Location-Specific Information
According to Google, Bard can now give more specific responses based on your location, but only if you allow it to.
This feature allows Bard to respond to relevant and accurate queries, like when looking for a local business near you.
You can update your location here:
I couldn’t get a screenshot for this feature because Bard says I can’t update my location.
You can manage your preferences in the location settings.
4. Export Tables to Google Sheets
Like the Gmail and Google Docs export options, exporting to Google Sheets allows you to seamlessly export tables developed by Google Bard to your Sheets.
This is good news for people still learning to use Google Sheets/Microsoft Excel.
You can ask Google Bard to create a personalized table for you and include the needed features. Afterward, you can export the table to Google Sheets with all the features.
When you click on the ‘export sheet’ option, it shows you when your Google Sheet has been created at the bottom of the page:
When you open the sheet, it directly opens a Google Sheet for you and redirects you to the file like this:
You can edit the table and add other data as needed.
5. Improved Math and Data Analysis
Here’s what Google says about this new feature:
“Starting with English, we’ve updated Bard to detect computational prompts and run code in the background, making Bard better at mathematical tasks, coding questions, and string manipulations.”
It means that Bard can detect questions that are mathematical problems and use the appropriate code to generate a response.
For example, if you ask Bard, “What is the square root of 16?” Bard can now detect it as a mathematical question and run the code to calculate the square root of 16.
This will give you a more accurate response than if Bard tried to answer the question based on its understanding of the English language.
Here are some screenshots of Bard solving some mathematical problems:
6. Export Python Codes to Replit
Google Bard is improving its coding abilities and quality. Here are some recent codes generated by Google Bard:
A structured markup CSS code
A sample Python code
Note that the export option for codes is limited to Gmail and Docs. However, Google is trying to update these options, starting with Python code.
When Bard generates Python code for you, it allows you to export to Colab or Replit.
I couldn’t take screenshots of the Replit platform because I don’t have a Replit account. However, you can create an account if necessary.
Here’s a screenshot of Python code in Colab.
7. Modify Responses
Google Bard allows you to modify your responses to make them more professional, simpler, shorter, longer, or casual.
This shows that the responses from Bard will soon become more to the user’s liking, and I hope they can add more modifications to Bard to make its output alignable with the user’s preferences.
8. Share Your Conversations
You can now share part or all of your Bard conversations with friends, teammates, or your social media audience. Google Bard has made it easy by creating a link and allowing you to choose what you want to share.
It starts with you clicking the share button.
Select the part of your chat you want to share.
And copy the link directly and share it on your platform of choice or directly on LinkedIn, Facebook, Twitter, or Reddit.
9. Pinned and Recent Threads
On Google Bard, you can pin your chats and revisit them when necessary. This comes in handy when you constantly use Google Bard and need to keep track of the content you have on the platform.
Pinning your threads will help you quickly access your important threads on Google Bard.
You can either pin, rename, or delete your threads on Google Bard:
Here’s how your pinned threads look on Google Bard:
10. Voice Output for Prompts
Voice search is here to stay, and the populace encourages it more as the days pass. This might be why Google strives to ensure that it incorporates voice technology in the recent updates to Bard.
The recent Bard update allows you to select a voice output option if you want the result read.
I tried to confirm if one gets a voice output for voice input and discovered that you must manually select the voice output option to get the results read.
It may be inconvenient, mainly because most people do voice searches to avoid the hassle of manually reading results. It would be great if the voice output had a manual option and an automatic action.
For example, if I’m using my voice to ask Bard about a particular topic, I might want the answers automatically read out.
However, I love the way the voice output for codes is read. Instead of just reading out the letters and whatnot, the voice output explains the codes logically.
11. New Places, New Languages
As of July 13, 2023, Google Bard is said to be available in over 40 new languages, including Simplified and Traditional Chinese, Hindi, Spanish, Arabic, German, etc.
Its access has also been extended to all 27 European Union (EU) countries and Brazil.
Here’s a list of some of the languages supported by Bard, as seen on the FAQ page of BARD:
English
Japanese
Korean
Arabic
Bahasa Indonesia
Bengali
Chinese
Croatian
Czech
Danish
Dutch
Estonian
Farsi
Finnish
French
German
Gujarati
Greek
Hebrew
Hindi
Hungarian
Italian
Kannada
Latvian
Lithuanian
Malayalam
Marathi
Norwegian
Polish
Portuguese
Romania
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili,
Swedish
Tamil
Telugu
Thai
Turkish
Ukrainian
Urdu
Vietnamese.
Google has mentioned that it hopes to include more languages, but currently, Bard covers most of the languages used on the Internet.
However you choose to use Google Bard, it is important to be careful of the information you input into the software. Human reviewers may process your Bard conversations for research and quality purposes.
Final Thoughts
From my research into using Bard for search engine optimization, I think Google was right to emphasize that Bard is still an experiment, which means we should expect more features and improvements to how it currently works.
Google Bard presently has limitations that can impact SEO if used independently, like hallucinations, inability to hold context and incorrect information.
However, I like that it is integrated with major apps like Google Docs and Gmail, making it easy to export your answers.
The ability to provide additional information and further your queries through Google Search is a smart move, and I hope these features survive the updates that Bard might go through.
Aside from Google Bard, the use of artificial intelligence to simplify SEO is something that should be embraced but used with caution.
No matter how much data a system is trained with, it cannot accurately reproduce human emotion, which is a needed ingredient in creating content that resonates with your audience.
So, regardless of your AI chatbot of choice, ensure your final content has human input.
CTA: Are you embracing the integration of artificial intelligence into search engines? What are your thoughts?
I’m sure you’ve heard of Artificial intelligence (AI) at least once, and now, AI is gradually settling down in the world of search engine optimization (SEO).
These days, the use of AI in SEO is no longer strange; it is making a massive impact on how SEO is done.
First off, there has been an explosive growth of internet users in the past few years. Research reported 5.06 billion internet users in 2022, more than half of the world’s population.
This statistical report shows the possibility that your traffic will skyrocket when you follow the right and updated SEO writing practices. The internet is so big that everyone has the same opportunity to leverage technology and thrive.
The introduction of AI in SEO means you can now use artificial intelligence to help you fast-track your SEO processes and automatically optimize your web content to fit specific criteria.
So stay with me as I unwrap this for you.
What is Artificial Intelligence?
Artificial intelligence (AI) comprises two keywords: ‘Artificial’ and ‘Intelligence.’
Artificial simply means man-made, i.e., having no natural occurrence.
Intelligence means acquiring and utilizing problem-solving skills and knowledge effectively and efficiently.
It is, therefore, the ability of a machine to exhibit intelligence and show problem-solving skills similar to humans.
These machines are programmed to reason, learn, adjust, and solve problems, often without the assistance of a human.
Artificial intelligence covers various technological fields, such as machine learning, deep learning technique, and natural language processing.
It focuses on the ideology of creating a computer program that utilizes data to learn, adapt, interact, and improve its performance without human assistance.
Deep learning techniques are a subset of machine learning that enables automatic problem-solving by analyzing a large amount of unstructured data.
Natural language processing (NLP) is an important field of artificial intelligence, and this concept helps the machine understand the language of humans.
Furthermore, it uses algorithms to understand verbal or text commands of humans, making it easy for machines to provide solutions to human requests.
Artificial intelligence aims to assist humans by simplifying and automating specific tasks.
As superior as it is, artificial intelligence uses algorithms to process data and make decisions.
It follows specific programs but focuses on six (6) major components:
1. Learning
The major important skill of AI is its ability to learn.
It can learn from data and experiences, and this exposure allows it to make better decisions and improve its performance over time.
It can recognize patterns in data using step-by-step instructions to reform collected data into usable information.
2. Reasoning
This component can be related to human logical reasoning. Artificial intelligence can pick the suitable method and algorithm to achieve its intent.
When a user inputs a request, AI sorts out the most appropriate way and procedure to carry out that request and delivers a structured result that solves the problem.
3. Self-correcting
In addition to the listed characteristics, artificial intelligence can also correct itself. It directs and ensures the algorithm used is the most efficient and best in achieving the desired result.
4. Problem-solving
This aspect may be general or specific.
Its primary purpose is to make life easy for humans, and how best is this done if problems are not solved?
In a general problem-solving condition, it seeks a solution to many problems. However, in specific problem-solving, AI focuses on the identified problem and seeks a solution.
5. Perception
Perception is a known trait seen in man.
It is the proper functioning of the senses in humans (to see, hear and be aware).
With artificial intelligence, perception is done through artificial sense organs (cameras, microphones, and wireless signals) in analyzing specific inputs and interpreting them in the best possible way to produce the needed result.
6. Understanding language
The ability to communicate in words and signs has to do with linguistics. This aspect focuses on communication, how a man can communicate with machines, and how machines can communicate with man. AI can understand languages; this component makes it easy for software developers to make sure computer programs are efficient and effective in carrying out the desired task.
Importance Of Artificial Intelligence
The importance of AI includes the following:
Fast decision-making
AI enables the decision-making process to be faster and more effective.
AI does tasks a hundred times faster than humans and can analyze each alternative and predict its outcomes.
Boosts market strategies
Different sectors and industries use artificial intelligence to boost company competence by discovering lapses and covering them up, creating new strategies to get ahead of others in the same industry; this has been made possible through artificial intelligence.
Error reduction
AI can be used to reduce errors in research and data analysis; it ensures that the research results are error-free.
Solves complex problems
Technological advancement has made it possible for problems to be identified and solved easily, no matter how complex.
Weak vs. Strong Artificial Intelligence
Weak AIs are developed to be used for specific domain applications.
In addition, they do not have a mind of their own and can be used to solve complex problems. Some examples are Siri, Alexa, Bixby, search engines, and navigation systems.
Strong AI, on the other hand, possesses the same intellectual capacity as a man.
These machines have a mind of their own and can even suppress man’s intellectual abilities.
They can learn, plan, understand, and communicate in different languages and achieve the desired intent which it is made for.
This machine operates and reacts only to data presented to it.
It does not store memory and cannot predict future actions using past experiences.
They tend to carry out tasks only given to them and cannot perform a wide range of functions.
An example is the Netflix recommendation engine that considers your viewing choice and suggests movies related to your choices.
2. Limited Memory
As the name suggests, limited memory AI is a system with short-lived memories. They learn from past experiences and use this memory to make decisions in the future.
A self-driving car is an example.
3. Theory of Mind
This kind of AI is more advanced as research is being carried out for innovation. The innovation is focused on its ability to understand humans completely, including recognizing individuals’ needs, emotions, and cognitive processes.
4. Self-Aware
This type of AI acts like a human and can present various human characteristics.
It understands and emits emotion; it also has its needs and desires.
Chatbot is software designed to act like humans in a conversational manner using natural language processing. It can answer questions, make hotel bookings, and so much more.
I love this application; its unique feature of calculating speed and arrival time lightens my mood, but the best part is the ability to suggest the best route with the least roadblock.
Speech recognition has advanced exceedingly in the past few years. If you are using Bixby, Siri, or Alexa, you can agree that these applications have been so helpful.
Autocorrect
Autocorrect uses algorithms to identify misspelled words and wrong punctuation, edit texts and predict sentences.
This software is helpful, especially in its predictive mode; it shortens my text time and delivers appropriately.
This technological advancement focuses on individual biometrics.
It is useful in the forensic world. Facial and fingerprint recognition software system runs the face and fingerprint against available information for a match.
Additionally, these systems are now used as locks for homes, cars, and phones; you can input your chosen biometric feature on any device. Once the information is captured, the device only responds to you and unlocks when there is a match.
Self-driving, as the name implies, means the car can drive itself without the assistance of a human.
It uses sensors located at different parts of the car to detect the closeness of other cars passing by and to read traffic lights.
What Is The Future of Search Engine Optimization?
Change is a constant phenomenon, and in the SEO world, change occurs often. As search engine optimization strategies are already changing, you should evolve as the world evolves.
So, what is the future of SEO?
Here are some changes and future trends in the SEO world you should be accustomed to.
Users’ intent
How often do you click on the second page of SERPs? I guess rarely.
Creating a post that satisfies users’ intent is the most effective way to rank on the first page of search results.
SEO will be more focused on meeting the needs of the users. So, your content will have to satisfy not just the needs but also the search intent.
It’s more than just keywords and writing for search engines; Now, you need to write for searchers.
Voice search
If you want your content to remain relevant in the coming years, then it’s time to optimize them for voice searches.
Samsung’s Bixby, Apple’s Siri, and Amazon’s Alexa are some voice assistants used worldwide to search for information on the internet.
More focused on mobile SEO
Major users access the internet through their phones; therefore, page optimization has to be mobile-friendly.
Google has already declared that mobile-friendliness is a key ranking factor.
High-quality backlinks.
High-quality backlinks are proven ways to rank with an emphasis on ‘high quality.’ It is not about the number of sites linking back to you but the quality!
Avoid linking to shady sites and analyze your links to remove shady backlinks. Linking to and from an authority page boosts your SEO profile.
Content made according to E.E.A.T
Expertise, Experience, Authority, and Trust—these are Google’s algorithms to determine the quality of your content.
This update is not new, but it is important going forward. Google wants to ensure that all the high-ranking pages have accurate information.
Technological innovations
The future is Artificial Intelligence!
There is massive growth in the world of artificial intelligence. Its incorporation into SEO is not stopping anytime soon!
With ChatGPT, Bard, and Writing Assistants like Jasper.ai, AI in SEO will be the norm in no time!
AI SEO tools make you aware of what you are doing wrong and provide the best-proven alternatives, reducing work time and creating efficiency.
What is AI in SEO?
AI in SEO is the blending of artificial intelligence into search engine optimization.
Understanding the importance of artificial intelligence enables you to foresee the impact of AI in the SEO world and use this technology to boost your expertise.
Amazingly, this innovation cuts across various SEO strategies. With AI in SEO tools like Semrush for data analysis and ChatGPT for content creation, there will be little or no problems searching for content gaps and keywords and accomplishing your ranking dreams as swiftly and orderly with these tools.
Why AI in SEO is important
Search engines prioritize users’ experience above all other factors and utilize artificial intelligence to understand searchers’ intent and queries.
SAVES TIME
Data analysis of possible reasons behind the searcher’s query can be done in split seconds, making the job easier and faster. This also reduces stress.
INCREASES TRAFFIC
Additionally, AI in SEO tends to increase page engagement by suggesting content outlines and creating relevant information that matches the already identified reasons and intent for the search.
SCALES SEO EASILY
Google’s algorithm follows specific rules determining your content rank and the users seeing your content. They make use of artificial intelligence to carry out this function.
There are great SEO experts, but artificial intelligence has been made to be a bit better than humans in terms of intellectual capacity. It is also wise to let the machines battle each other, as AI in SEO tools is excellent in assisting you in ticking Google’s rank list and correcting anomalies.
Using this strategy correctly can elevate your SEO games and open you up to various benefits.
Let’s glance at how AI can help improve your SEO.
How AI In SEO can improve your website
Here are some various ways AI can improve your website’s SEO:
Keyword discovery
As a major ranking factor, keyword research is time-consuming, and the words found might not be accurate.
There is a vast range of keywords, and it is highly impossible to pick the most effective one with an appropriate search volume, cost per click, and SEO difficulty.
With the use of artificial intelligence, this area of research has been conquered. AI assists in keyword variation and helps to identify semantically related keywords from a cluster.
Link-building opportunities
You can use AI to discover helpful links that will help create a positive page appearance and prevent inappropriate linking.
Content enhancements
Google is particular about users’ satisfaction. For this reason, it is only appropriate to put relevant facts in place to create a post that engages and captivates the users’ interest.
AI SEO tools assist in the following ways to achieve appealing content.
Find trending topics.
A large percentage of users actively search for recent discoveries and events, while a lesser percentage search for past events or random information.
The probability of traffic can get low if you choose a random idea for your content.
Artificial intelligence helps reduce this by suggesting relevant topics in your niche.
Outline and content creation.
Not only do AI SEO tools help to generate topic ideas, but they also help in the creation of outlines.
A fantastic example is ChatGPT.
SARMLife, in its recent post on ChatGPT for SEO, explained how to use this AI chatbot for SEO purposes.
“You can write an entire content using this bot, from blog posts to social media contents. You also get to input points you want, the way you want them, and even create bullet lists.”
Content gap analysis.
This method is used to analyze existing content on your website against that of your competitors.
You can use it to recycle old content and find missing topics to generate a positive user journey and increase traffic to your website.
Fix duplication issues.
Plagiarism is a crime you should avoid as a writer.
Numerous algorithms for word-matching, like plag.ai, have been created to compare your content to those available on the web for areas you might have plagiarized.
Content audit.
As a web developer and SEO expert, you might find it challenging to keep track of the posts you have created. It is manually impossible to analyze all your posts; this is where AI in SEO comes in.
A tool like Ubersuggest helps you run a site audit efficiently.
It also gives you information on the most recurring issues on your website and how serious they are.
Digital marketing is an area of marketing that uses the internet and digital tools such as mobile phones and computers to promote products and services.
It can be an affiliate, social media, content, or email marketing.
AdCreative.ai is an AI advertisement tool that helps create beautiful and brilliant adverts, and it does this in seconds.
Using chatbots
Consumers often interact with the industries they patronize.
They call or text to ask questions concerning the products or services they are receiving. AI chatbots are now being used for customer service, and they give impressive results.
These chatbots are designed to interact with humans conversationally, so you can rely on chatbots to give an accurate answer (usually based on the data it has).
The future of search engine optimization predicts more attention given to user experience, which is an important ranking factor.
User experience is the total experience of an individual using a company’s product or service, be it a website. It includes the usefulness, accessibility, credibility, visibility, and value of the website.
A page experience is “a set of signals that measure how users perceive the experience of interacting with a web page beyond its pure information value.”
This signal focuses on three aspects of user experience: loading, interactivity, and visual stability.
Three of the essential Core Web Vitals are:
Largest Contentful Paint (LCP)
LCP is the amount of time passed before the webpage loads relevant content. A good LCP load in 2 seconds or less.
First Input Display (FID)
FID is the time spent before the website responds to the user input, and it measures interactivity.
Cumulative Layout Shift (CLS)
CLS is the disruption that occurs in your website when a user interacts with it. It measures visual stability. Having a CLS of 0.1 or less to align with Google’s latest standards is important.
Mobile Friendliness
This signal checks if your page is responsive with mobile phones, including multimedia and texts. Does it load fast? Is the quality okay?
HTTP
This signal checks if your website connection is safe and secure for users.
How does artificial intelligence help you get a positive user experience?
AI helps improve user experience by
Analyzing user experience on your pages
It inquires about and recognizes users’ behavior and needs.
AI tools like TUP e-commerce can interact with your page and notify you what area your page lacks.
Determining relevant content
AI, with user experience checker tools, can determine if your content is informative and relevant.
Checking the structure of your page
It checks your page structure to align with Google’s guidelines.
Reviewing pages with easy navigation
It can alert you if your page is easy to use and how often page disruptions occur.
Analyzing pages that load fast
This tool analyzes your page loading time and gives suggestions to improve it.
Verifying the website’s mobile-friendliness
The tools help verify if your website is mobile-friendly and easy to navigate.
Competitive analysis
As innovations and search engine optimization strategies change, you have to be on top by monitoring the competition in your niche constantly.
AI in SEO can help with competitive analysis through the following:
Competitive forecasting
Various AI-competitive software analyzers, such as SEMrush, are available to help you swiftly discover the competition in your niche.
Discovering competitors’ edge using AI SEO tools
SEMrush discovers your competitors and analyzes their SEO strategies. It checks the opportunities available for your competitors that make them rank and how they can improve your website.
AI SEO TOOLS
AI SEO tools are artificial intelligence software applications used in search engine optimization.
These tools are used to increase the workflow of websites. They are made better and smarter than humans, making the job faster and easier.
What are the best AI SEO tools?
There are numerous AI SEO tools worldwide, but here are my best tools.
NeuronWriter
NeuronWriter is an advanced content editor with semantic models, natural language processing (NLP), Google SERP analysis, and competition data.
With user intent in mind, NeuronWriter aids with content planning and optimization.
The SEO software application helps you create content outlines and the content itself, making the process easier and faster.
It has a feature that analyzes successful competitors’ content and identifies what rankings factors and the click-through rate each thriving content gets.
In addition, it suggests related web pages on your website you can link to internally.
Google Search Console can be integrated with NeuronWriter, to assist you in monitoring the effectiveness of your content.
Bronze Plan (€19/month): for business owners, used to increase rank and include packages like 25 content analyses, 2 projects,15,000 AI credits, internal links, and email support.
Silver Plan (€37/month): for copywriters delivering outstanding reports. Its package includes 50 content analyses, 5 projects, 30,000 AI credits, and a content plan.
Gold Plan (€57/month): for a copywriting team or small agency. The package contains 75 content analyses,10 projects, 75 plagiarism checks, content plans, internal links, and up to 45,000 AI credits.
Platinum Plan (€77/month): for large businesses that work on several domains. Its package contains 25 projects, 100 plagiarism checks, 100 content analyses, 60,000 AI credits, a content plan, and GSC integration.
Diamond Plan (€97/month): for SEO or content agencies responsible for multiple projects. Packages are 150 content analyses, 50 projects, 150 plagiarism checks, a content plan, a schema data explorer, and 75,000 AI credits.
Surfer SEO
Surfer SEO is a tool majorly used to write SEO-optimized content.
It has a keyword research tool and analyzes first-page SERPs to discover your competitors ranking factors.
Surfer SEO is an easy-to-use tool with an inbuilt natural language processing feature that uses IBM Watson to automate complex processes.
It features the discovery of relevant keywords needed in your content creation, runs a check on your website, gives you feedback, helps you optimize your content, and provides you with proven ways of growing your company’s website.
Key features of Surfer SEO
Keyword research
Audit
Content editor
Grow flow
AI outline generator
Keyword surfer extension
Pricing
Basic Plan ($49/mo): for small enterprises. The basic plan includes 120 article optimization per year (10 each month) and an SEO audit of up to 200 pages a year (20 per month) with advanced keyword research.
Pro Plan ($99/mo): for medium organizations. Its package includes 360 article optimization per year (30 per month), an audit of 720 pages per year (60 pages per month), SERP analysis, and keyword research.
Business Plan ($199/mo): for large organizations. The business plan includes 840 article optimization per year (70 articles per month), an audit of 1080 pages per year (140 pages per month), SERP analysis, specific content optimization, topic suggestions, and keyword research.
Scalenut
Scalenut is an AI-powered application system focusing entirely on the content creation life cycle.
Embedded in this software are numerous features that are unique and efficient in carrying out specific commands.
A particular feature enables you to get relevant information relating to content creation and generate optimized content.
Another feature helps reduce the stress of running through tabs by being a search engine extension.
Key features of Scalenut
Topic cluster
SEO writing
Chrome extension
SEO writer
NLP analysis
Cruise mode
Content optimizer
Pricing
Essential Plan ($23/mo): for individuals. This plan includes 100,000 written AI words, 5 SEO reports, SERP analysis, and document sharing.
Growth Plan ($47/mo): for growing business. Its package includes unlimited AI words, creating 30 SEO reports, topic clusters, and SEO audits.
Pro Plan ($89/mo): for large organizations. Package includes unlimited words, audit and optimization of pages, keywords, and creation of SEO reports.
Frase
Frase is an AI application system that enables you to write quality-optimized content.
It assists in the discovery of new content opportunities and prevents your content from losing its value over time.
Let’s not forget Frase content writing and optimization features that generate, edit, and compare your content against top-ranking content in your niche.
Key features of Frase
Content writer
Share documents
Content briefing
Content analysis
Content optimization
Pricing
Solo Plan ($14.99/mo): for recent projects. This plan includes creating 4 articles and 4000 AI words, and it’s available for only one user.
Basic Plan ($44.99mo): the package includes 30 reports and generates 4000 AI words for one user.
Team Plan ($114.99/mo): for teams seeking flexibility. This plan includes writing and optimizing unlimited articles. It is available for three users with an extra charge of $25/mo per additional user.
Outranking
Outranking offers various tools, from keyword research to competitor analysis tools.
It is a complete AI in SEO tool with various features that rate your content against the right factors. It creates blueprints that guide your content creation and provides proven topics, keywords, and outlines.
Key features of Outranking
Content strategist
Internal link suggestion
Content writing
Integration
SEO scoring
Tracking
SEO ranking
Pricing
Starter Plan ($7 first month, $49 next month): this plan includes 4 optimized content and 300,000AI characters.
Solo Plan ($79/mo): the plan includes writing and optimizing 10 articles monthly, including unlimited AI words.
Pro Plan ($149/mo): the pro plan comes with writing and optimizing 20 articles monthly, including unlimited words.
Company Plan ($219/mo): its package includes writing and optimizing 30 articles monthly.
MarketMuse
MarketMuse is an AI application enabling you to plan and create researched content. It also helps in competitor analysis.
Their Content Briefs feature provides a plan on topic structure, questions to be answered, and links to include in your content.
You increase your ranking by prioritizing your keywords using the keyword research feature.
Key features of MarketMuse
Competition analysis
Optimization
Content planner
Keyword research
Content cluster
Content brief generator
Content optimization
Pricing
Free Access: it offers a free plan with no time limits and allows one user access to 5 queries per month and 10 projects.
Standard Plan ($149/mo, 1500/yr): this plan allows 100 queries per month and unlimited projects but one user.
Premium Plan (customized based on annual agreement): the premium plan offers unlimited queries and projects, manages topic tracking, and dedicated account management team and training teams.
Semrush
Semrush is an award-winning tool used in SEO to get relevant keywords, audit, run ads, and track your SERPs position.
It analyzes top search engine result pages in your niche and gives you an insight into their SEO game.
Apart from basic SEO optimization, it helps you monetize your website and generates attractive and brilliant posts for your social media platforms.
Semrush is the perfect Ai in SEO tool; it cuts across various platforms and carries out some technical functions.
Features of Semrush
Competitors page analysis
Auditing of site
Social media management
Link building
Content creation and distribution
PPC keyword research
Website monetization
Competitors PR monitor
Paid advertising
On-page SEO
Content marketing
Local SEO
Rank tracking
Pricing
Pro Plan ($119.95/mo): for small organizations. This plan includes 5 projects, 500 keywords to track, competitor analysis, and website auditing.
Guru Plan ($229.95/mo): for medium size organizations. This plan includes 15 projects, 1500 keywords to track, and 30,000 results per report.
Business Plan ($449.95/mo): for large organizations. The business plan includes 40 projects and 5000 keywords to track.
Copy.ai
Copy.ai is an intelligent software application that uses artificial intelligence to improve market strategy by generating high-quality content and adverts.
You can use it for blogs, social media, and emails.
You don’t have to worry about writer’s block; it has a ghostwriting feature that can quickly create power posts.
Copy.ai is aware that content creators often interchange tabs when creating content, which can be highly stressful and time-consuming; I know because I do it.
Well, this software application provided a solution to that frustration of tag interchanging by having a Google Chrome Extension.
This feature is one of my best features.
Features of Copy.ai
Content creation
Ghostwriting
Plagiarism checker
Web copy
Social media ads
Email generator
Google Chrome Extension
Pricing
Free Plan: the package includes over 90 copywriting tools and unlimited projects for one user.
Pro Plan ($432/ yearly, $36/mo): this plan includes unlimited words, 90+ copywriting tools, email support, and you get access to new features. It is accessible to 5 users.
How AI SEO Tools Work
It runs an investigation on your competitors.
It spies on competition in your niche (their topics, keywords, and ranking factors).
It makes content creation easy by creating effective content strategies like topics, outlines, and keywords.
It focuses on details such as heading and link discovery.
It researches content and makes sure the information given is proven.
It generates and writes content faster.
It checks ranking factors and helps you optimize your site to rank.
It tracks your SERPs ranking and notifies you of fluctuations.
FAQs on AI in SEO
How does AI in SEO help in competitive advantage?
AI in SEO helps by checking your competition and giving you an idea of your competitors and their strategies. It bridges the gap in content creation by suggesting trending topics and providing relevant outlines.
Is AI-generated content bad for SEO?
Hundred percent AI-generated content is bad for SEO. When using AI, ensure you use your human discretion to proofread and check the content quality.
How did AI change SEO?
AI changed SEO by making the optimization faster, improving the effectiveness of SEO strategies, improving accuracy, and increasing productivity.
Does Google penalize AI writing?
Yes! Google will penalize AI-written content that doesn’t align with user value. You should check every piece of content created to prevent “plagiarism.” You should also ensure the content fits the topic and matches user intent.
How does AI help in content creation?
AI helps in content creation by assisting in keyword research, writing, editing, and optimizing the content for quality.
Final thoughts
AI in SEO tracks recent Google algorithm updates, keeping you informed about those changes. These tools also help you better understand search engine algorithms and create strategies to improve user experience, which is Google’s primary concern.
With AI automation tools, users and page experience factors are optimized. Each content you create will align with the SEO guidelines because that is what these tools are trained to do.
Incorporating AI in SEO is essential and will give you an edge over your competition.
Many opportunities are made easy, so use this strategy in your SEO game.
CTA: Do you think the technological advancement of AI in SEO will give you greater opportunities? If so, let’s know in the comment section.
If you are wondering what ChatGPT is (which I highly doubt), it’s the new chatbot that everyone is crazy about, from students to professors to SEO experts! The entire world is talking about it.
Chat GPT concept. Business person chatting with a smart AI using an artificial intelligence chatbot development. Artificial intelligence system support is the future
This chatbot seems to have all the answers to every question you can think of, and what’s more? It does it in a conversational way that makes you feel like you are talking to a genius coursemate or an intelligent friend.
When it rolled out, OpenAI made it publicly available to test out its functionalities. Now, this is where the SEO pros didn’t go to sleep. ChatGPT was made to carry out several SEO tasks that would usually make the whole process of optimization tedious and time-consuming.
The result? Astounding!
In this post, I will talk about the several ways ChatGPT has been tested for SEO, the viability of using it to write optimized content on your website, and also consider if this will be a good SEO practice to imbibe in your strategy for 2023.
Now that ChatGPT has gone pro, is it a worthy investment, or should we stick to the traditional method of SEO?
You might agree with me on many things at the end of this post.
What is ChatGPT?
ChatGPT (Generative Pre-trained Transformer) is a chatbot developed by OpenAI in November 2022 to optimize language models for dialogue.
It is a large learning model that uses artificial intelligence (AI) and data collected from several sources across the web to interact with users conversationally.
The incredible thing about this chatbot is that it can answer follow-up questions from users, acknowledge mistakes, and challenge incorrect inputs.
Screenshot from OpenAI’s official page.
Here’s the official description from OpenAI. I highlighted the main points:
“We’ve trained a model called ChatGPT which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer follow-up questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.”
Many predict that ChatGPT will take over Google and most search engines but maybe not directly.
True, ChatGPT has shown a different way searches can be done, and while Google isn’t there yet, there have been changes in how the search engine replies to various queries.
ChatGPT is excellent, but taking over Google, I’m not sure it’s there yet.
How ChatGPT was trained
Previous models like GPT-3 and Codex were trained using the InstructGPT, and while these were successes in their own rights, they had some amount of “harmful and untruthful” outputs.
ChatGPT is a fine-tuned version of a model from the GPT-3.5 series. It was trained using Reinforcement Learning from Human Feedback (RLHF). Although it uses the same methods as the InstructGPT, it has slight differences in how data is collected.
“ChatGPT is a sibling model to InstructGPT, which is trained to follow an instruction in a prompt and provide a detailed response.” – OpenAI.
Screenshot describing the difference between ChatGPT & InstructGPT Source: OpenAI
According to OpenAI, there were three crucial steps in training ChatGPT:
1. Supervised learning.
Human AI trainers played both sides of a conversation (user and AI) where they sampled a prompt (query), then demonstrated the desired output from model written suggestions.
This dialogue was then mixed with the InstructGPT and transformed into a format.
2. A reward model.
To create this reward model, data needed to be compared, so the collected comparison data, which included two or more model responses from the initial dialogue, was ranked by quality.
A labeler ranks the outputs, and this comparison data was used to train the reward model.
3. They optimized a policy against the reward model.
Screenshot showing how ChatGPT was trained. Source: OpenAI
How ChatGPT works
ChatGPT is a large learning model, which means that it is practically trained to learn how to respond to different queries based on a large amount of data.
Unlike some might think, ChatGPT isn’t particularly trained to answer a question in a certain way, but the amount of data it has enables it to predict how it should answer a question.
In other words, this model is trained to act independently and cognitively based on its data.
The higher the amount of data it is trained on, the more tasks it can carry out.
The incredible thing about large learning models like GPT-3 & GPT-3.5 is that increasing the amount of data they have can also lead to unexpected and surprising abilities.
For example, Stanford University wrote about how GPT-3 could translate a text from English to French, although it wasn’t directly trained to perform that task. It even outperforms models that were explicitly trained for those tasks.
While this is impressive, it can also be an Achilles heel because it implies that this model—ChatGPT- relies entirely on the information it has.
We’ve seen this happen in some of the user testing done. For instance, ChatGPT cannot provide information beyond 2021.
What happens when you input your query in the ChatGPT?
The AI chatbot gathers all the data directly or vaguely related to what you’re asking; it guesses your intent and gives you an answer it believes best satisfies your query.
You can also follow up with another question; it will understand what you mean, unlike other search engines and virtual assistants.
Sample Query Source: Open AI
We must understand that the introduction of ChatGPT is a glimpse into what the future entails.
We are just scratching the surface of this AI wonder! One thing I love about technology is that it keeps getting better, and that’s what’s to be expected of ChatGPT.
What can you use chatGPT to do?
ChatGPT can perform several tasks, including blog writing, coding, and even poetry. It can talk about your country’s political system and electoral issues and even help you write your final papers.
In fact, ChatGPT passed a Wharton MBA exam, and this is just the beginning. The NYC Department of Education has already banned the use of ChatGPT for fears of it being used to pass exams.
Here are several ways you can use ChatGPT, including:
Translate
You can translate your text into any language using this chatbot. This includes your keywords, entire blog post, and maybe your novels!
Coding
This is bliss for programmers and bloggers. You don’t need to outsource programmers to help you write your codes for off-page SEO. Just ask ChatGPT!
Calculate
Most examples I’ve seen online have been basic calculations, but if this wonder bot can code, it should also do more complex mathematical problems.
Write
You can write entire content using this bot, from blog posts to social media content. You also get to input points you want, the way you want them, and even create bullet lists.
Summarize
This chatbot does incredibly well if you want a perfect summary for your content. You can add factors like length, tone, and reading level.
Sentiment analysis
When you’re done writing content, you can analyze its sentiment, which helps you know if you are meeting your audience’s intent and the purpose of your content.
Limitations of ChatGPT for SEO.
ChatGPT has its fair share of limitations, like every newly released technology, especially when everyone wants to use it for everything possible.
Here are some current limitations of ChatGPT:
Answers might be logically plausible but unrelated.
This is one of the major issues with ChatGPT because it seems that fixing it is challenging for the developers. According to OpenAI, they cannot train the model to be more cautious because it will avoid certain questions even though it can answer them accurately.
Also, supervised training misleads the model because it can only answer a query based on what it knows rather than what the demonstrator knows.
To work around this limitation, you should explicitly state how you want your answers, rephrase your queries, or avoid queries that might need updated answers beyond 2021.
It can misunderstand prompts.
The model is susceptible to tweaks in phrasing or asking the exact prompt multiple times.
It means you can ask a question, and the AI might claim not to know the answer, but when you rephrase even slightly, it might be able to answer you correctly.
This limitation must be addressed because if incorporated into search engines or voice assistance, it might affect search results, especially voice searches where phrasing can be in vernacular.
It guesses the user’s intent instead of verifying.
When unsure of what your input means, this chatbot guesses your query’s intent and tries to answer it based on its conclusion rather than on what you want, unlike most ideal chatbots that will ask clarifying questions.
Sometimes, its conclusion might be correct, but other times, it might not be.
This will be problematic for users who need instant and accurate answers.
Cannot generate content on ‘inappropriate’ requests.
Based on trying to curate the type of prompts and responses on this model, the Moderation API was used, but it might not work as perfectly as intended.
The model can biasedly judge specific contents as unsafe and safe (false positive and false negative outputs).
It has in-built biases.
Another limitation is the in-built biases because of the training data used in developing this model. Trainers prefer longer answers because it looks more comprehensive and accurate, which might be misleading or contain repetitive and overused phrases.
It cannot browse the internet!
Unlike traditional search engines, ChatGPT cannot browse the internet, and its answers are based on the data it has been trained with; this is one of the reasons why its content abilities are not up-to-date.
The just-completed world cup or the newly released Google algorithm (2021, 2022) is an example.
OpenAI clearly states that regular updates will be made to the model to rectify most of its limitations and any other problematic outputs that users will observe during usage.
How to use ChatGPT for SEO.
ChatGPT can be used for SEO because it has quality responses. Here is how you can use ChatGPT for SEO:
Content Idea Generation
You can simply ask for ‘content ideas relating to (a specific keyword),’ and you will get a series of ideas and queries relating to that keyword.
Here’s what you need to understand about ChatGPT. It uses tons of data from the web, and for each query you ask, it searches through this data and gives you what you need.
For example, if you ask “a content idea relating to image SEO,” it will search through its data and give you a list of questions that are being asked about Image SEO. You can filter through these results and streamline them to a target audience or competition.
Keyword Research
When using ChatGPT for keyword research, you can give it one or two focus keywords and ask for related keywords.
It will effortlessly give you a long list of related keywords based on its data. It can also determine if a particular keyword will be more competitive than another.
Keyword Intent
You can take your keyword research further by asking the chatbot to segregate each keyword based on searchers’ intent. For example, transactional keywords are different from informative and commercial keywords.
With this information, you can accurately tailor your content to meet the searcher’s intent.
Keyword Translation
For websites that cater to a large audience with different native languages, this comes in handy.
With ChatGPT, you can translate this keyword to any language you want, which helps you rank for foreign sites and audiences.
Keyword research, intent, and translation can be done as follow-up queries, so you don’t even have to move between tabs or applications.
However, I can’t say that ChatGPT is a more accurate keyword research tool than Ubersuggest and all other tools out there because there is yet to be a direct comparison.
Title Generation
I was teaching some interns how to write optimized posts, and when we got to title optimization, we all got exhausted. Optimized title generation is challenging because you want to avoid ending up with something dry or bland.
Using ChatGPT, you can generate several interesting topics that captivate any reader.
All it needs is a title and some form of context (optional), and you’ll have a sweet list you can use. You can also copy your content into the chatbot and have it generate a title based on what you have written.
Even if you don’t like any, it can serve as an idea bank for you to come up with more captivating headlines, but I can guarantee to a large extent, that you will see an SEO-worthy title from the list.
Meta Description
You can easily create a meta description for your content by pasting a part or all of your content on the chatbot and requesting a meta description. You can also ask for the exact tone you want your meta description to be and include as much detail as you wish.
Outline Generation
If I can use ChatGPT for SEO, I’d use it to generate an outline for my post. The ability of ChatGPT to compare search queries and know the user’s intent is vital. It can help you create an outline and, ultimately, content that covers all the searcher wants to know, needs to know, and what they didn’t even know they needed.
Starting from keyword intent, you can ask the chatbot to create an outline for a specific topic or keyword.
Content Writing
Yes, you can use ChatGPT to create good content in any niche. You can specify the number of words and the intent and even include a compelling CTA.
However, I recommend against using AI to write web pages or posts because they often lack originality and may contain subtle errors.
For example, OpenAI developers have indicated that ChatGPT might be able to perform specific tasks and give concise answers, but it can also provide ‘plausible but nonsensical answers.’
Proofreading
With the GPT-3 model incorporation, ChatGPT can improve your writing style and quality. It can automatically correct your grammar and spelling mistakes without you having to lift a finger.
I have a bias on this, though. It is difficult to trust an editing tool to proofread for me because there are other factors to consider, including sentence flow and that human insight, which an AI tool cannot just have.
Paraphrasing
ChatGPT can help you paraphrase your content to give it a different feel and tone. For example, you can turn professionally toned content and make it more fun or easier to understand.
Interestingly enough, ChatGPT is designed so that it cannot plagiarize itself, which means its output for the same query might differ in words but have the same message.
“Go to the door” and “move toward the door” are different phrases but have the same meaning—this is what ChatGPT can do.
Summarizing
You can summarize the entire content using this chatbot. All you have to do is copy the post or content and ask it to summarize it for you in the exact way you want (of course, you have to specify this instruction).
FAQ Generation
Frequently Asked Questions are essential to all SEO strategies, and ChatGPT makes it easy for any SEO expert to gather related FAQs around a particular topic easily.
For example, if you want to publish content on voice search, you can ask “related questions on ‘how to do voice search optimization’” and you will get instant answers.
You can filter these queries and select the ones to include in your content. It might also give you more FAQ ideas.
Statistics Bank
When writing optimized content, you want to include statistics. For example, if I am writing a post on ‘content marketing,’ I want to have as many statistics as possible, which might require me to spend considerable time surfing through several posts. With ChatGPT, I can have all these statistics on a single page by asking for ‘content marketing statistics.’
Sentiment Analysis
If you ever wonder what emotion your reader feels when they read your content or what kind of tone your writing carries, you can analyze it using ChatGPT.
Code Generation
When using ChatGPT for codes, you must carefully examine its output to spot mistakes and errors. Regardless, you can use ChatGPT for several SEO tasks involving simple codes.
For example:
Hreflang tags
Hreflang tags target audiences in specific parts, usually those with a different native language. It is typically used to incorporate multilingual SEO on a website such that your website displays in the native language of the user.
ChatGPT can help you automatically generate hreflang tags you can add to your website.
Redirection codes
You can generate a redirection code snippet using ChatGPT to redirect users to an updated page on your website. You must include all the correct information, including the original and new locations.
Robot.txt codes
These codes indicate the web pages on your website you want or do not want Google to crawl. You can easily generate a robot.txt file.
Schema MarkUp
You can generate the schema markup code of any information you provide for technical SEO optimization. Just make sure you provide exact details and appropriate context.
Can Google identify ChatGPT content?
Apparently yes!
Cryptographic watermarking by OpenAI researchers makes its contents detectable.
An article by TechCrunch explains that OpenAI is working on “statistically watermarking the outputs of a text (AI-generated content)” ~ Scott Aaronson.
An OpenAI engineer named Hendrik Kirchner developed a working prototype, and they hope to incorporate it into future models. The goal is to make it hard for users to pass off AI-generated content as humans.
This watermark will be an unnoticeable secret signal and a relief to educational systems worried about the extent of use of ChatGPT by students. This might come as a mixed feeling in the SEO world, but it is to be expected.
Most, if not all, AI-generated content is detectable; content translated from another language and even content that uses anti-detection algorithms are included. It is expected as well that content generated by ChatGPT will also be detectable.
On January 31st, 2023, OpenAI also revealed on their Twitter handle that they are working on an AI Classifier that will differentiate human-written texts from AI-written texts. The post also revealed that they are releasing an initial version so as to collect feedback and improve the system.
This Classifier is, however, not reliable as it can give false positives and negatives and should not be used as a primary decider. It is especially limited to long-form content (>1,000 words) and cannot identify contents that are AI-generated but has been edited.
Should you use ChatGPT for SEO?
Yes, but you should avoid using it to write your content. Instead, use it as leverage to help you save time and create optimum content.
I know you want to create content faster, but you should really avoid using ChatGPT to write your content, especially if you are uploading it on Google.
Why?
Because Google has explicitly stated that it views content created using only AI as spam, and it clearly violates Google’s guidelines.
“Spammy automatically generated content is content that has been generated programmatically without producing anything original or adding sufficient value.”
With this, the issue isn’t that it’s automatically generated; the problem is that there is no added value or originality. It means you can safely use ChatGPT for any SEO process, but always make sure the human input is more than that of the AI instead of copying and pasting content.
Google algorithm can already identify AI-generated content; you don’t want your website penalized because of fast results.
With talks of ChatGPT having a cryptographic watermark for its AI-generated content, you can be sure Google will not bypass any AI-generated content, no matter how well-written it is.
Is ChatGPT Plus worth it?
On the 1st of February 2023, OpenAI revealed on its Twitter page that they are piloting ChatGPT Plus, which is a subscription plan that offers a faster response plan and reliability during peak hours.
We are piloting ChatGPT Plus, a subscription plan that offers faster response times and reliability during peak hours. And of course, the free tier of ChatGPT is still available. https://t.co/2hEBw6h5Se
This ChatGPT Plus plan rolls out at $20/month for each user. The free version is still available, but with the premium version, you get priority access to new features, improvements, and faster responses. You don’t have to wait until there’s a free space.
Currently, it is only available to users in the United States, but it will be made available in other regions soon enough.
Is it worth it?
That depends on you and what your needs are. There is no doubt that ChatGPT will make SEO easier, more accurate, and less time-consuming. The question is, can you do without it?
For SEO agencies with lots of customers and not enough SEO writers, consider using ChatGPT Plus to make work easier for your writers and meet deadlines easier and faster. However, since ChatGPT is still improving, I’d say wait till its SEO effectiveness has been tested and trusted before committing.
FINAL THOUGHTS
This is just GPT-3; imagine what GPT-10 will do!
ChatGPT is changing how we view search engines, and the possibilities are endless. However, using it for SEO should be done cautiously and only as an aid.
You can keep experimenting with several ways ChatGPT can be used, and you may see a great use for it that will change the SEO world forever!
What do you think of ChatGPT for SEO? Is it something we should embrace or not?
