Last month, I noticed crawlers from companies like OpenAI and Google in my website analytics. My first reaction was concern: Was my content being scraped without my permission? I also worried that too many requests from AI or search crawlers might slow down my site for visitors.
But then I started thinking: What if I could actually turn this into an opportunity? What if I could guide AI tools—like ChatGPT—to the content I want them to see?
That’s when I discovered something called llms.txt. It’s a new file format designed to help large language models (LLMs) understand which pages on your site are most useful. This can improve how your content shows up in AI-generated answers and even help your site get mentioned as a source.
In this guide, I’ll show you how to create an llms.txt file using a plugin or a manual method. Whether you want more AI visibility or simply more control, this is a great way to start shaping how AI interacts with your content.
What Is an llms.txt File and Why Do You Need One?
An llms.txt file is a new proposed standard that gives AI tools like ChatGPT or Claude a structured list of the website content you want them to use when generating answers.
This file lets you point to your most helpful posts, tutorials, or landing pages—content that’s clear, trustworthy, and AI-friendly.
Think of it like a welcome mat for AI. You’re saying: “If you’re going to use my site in your answers, here’s what I recommend you look at first.”
The file itself lives at the root of your site (like example.com/llms.txt) and is written in plain Markdown. It can include links to your sitemap, cornerstone content, or anything else you’d want cited.
Including your sitemap ensures AI tools can find a complete index of your site—even if they don’t follow every link listed individually.
This is part of a broader approach called Generative Engine Optimization (GEO). You might also hear it called LLM seeding, AI content optimization or AI search visibility. The idea is to help AI models give better answers—and increase the chances of your site being linked as a source.
Just keep in mind that llms.txt is still an emerging format. Not all AI companies support it yet, but it’s a smart step if you’re looking to shape your content’s role in AI search results.
llms.txt vs. robots.txt: What’s the Difference?
You might be wondering how llms.txt compares to robots.txt, since both files deal with bots and visibility.
The key difference is this:
robots.txt tells crawlers what they’re allowed to index and cache.
llms.txt gives AI models a curated list of the content you want them to reference when generating AI-powered answers.
Here’s a side-by-side look:
Feature
robots.txt
llms.txt
Purpose
Block search crawlers from accessing specific URLs
Highlight your most helpful content for AI models
How it Works
Uses User-agent and Disallow rules
Uses a Markdown list of recommended links
Effect on AI
Can prevent AI models from accessing your site (if obeyed)
May help AI models cite and summarize your best content
Adoption
Widely supported by search engines and some AI tools
Still emerging; support is limited and voluntary
For a complete AI strategy, you can use both files at the same time. You can use llms.txt to welcome the AI bots you want, while using robots.txt to block the ones you don’t.
My guide will show you how to use both files to manage your AI content strategy. You can use the quick links below to jump to the method that best fits your strategy:
Method 1: Create an llms.txt File Using AIOSEO (Recommended)
The easiest way to create an llms.txt file in WordPress is by using the All in One SEO plugin (AIOSEO). I recommend this method because it does all of the work for you.
It automatically creates a helpful llms.txt file that guides AI crawlers to your content, and it keeps the file updated as you add new posts and pages.
Step 1: Install and Activate AIOSEO
First, you’ll need to install and activate the AIOSEO plugin.
The great news is that the llms.txt feature is enabled by default in all versions of AIOSEO, including the free version.
However, since we’re talking about taking full control of your content and SEO, it’s worth mentioning a few powerful features you get if you upgrade to the AIOSEO Pro license.
While you don’t need these for llms.txt, they are incredibly helpful for growing your website traffic:
Advanced Rich Snippets (Schema): The Pro version gives you more schema types, which helps you get those eye-catching rich results in Google (like reviews, recipes, or FAQs). Adding schema markup can also help your content appear in AI search.
Redirection Manager: This tool makes it easy to redirect bots or users from certain pages, fix broken links, and track 404 errors. It gives you more control over how both visitors and crawlers navigate your site.
So, while the llms.txt feature is free, upgrading gives you a much more powerful toolkit for managing and growing your website’s presence.
Step 2: Verify Your llms.txt File
Because this feature is turned on by default, there’s nothing you need to do to set it up. AIOSEO is already helping guide AI bots for you.
You can see the settings by navigating to All in One SEO » General Settings and clicking the ‘Advanced’ tab.
Here, the ‘Generate an LLMs.txt file’ toggle is on by default.
When you click the ‘Open LLMs.txt’ button, you’ll see that the file is a list of links to your content.
This is exactly what you want for GEO. It’s a clear signal to AI bots that you are welcoming them and have provided a helpful guide for them to follow.
Just keep in mind that llms.txt is not an enforceable rule—AI tools may or may not choose to follow it.
Method 2: Create an llms.txt File Manually
If you prefer not to use a plugin, then you can still create a helpful llms.txt file manually. This approach involves creating a text file with a list of links to your most important content.
Important: Before you create a manual file, you need to make sure no other plugin is already generating one for you. If you are using AIOSEO for its other SEO features, you must first disable its default llms.txt file generator from the All in One SEO » General Settings » Advanced page.
Step 1. Create a New Text File
First, you need to open a plain text editor on your computer (like Notepad on Windows or TextEdit on Mac).
Create a new file and save it with the exact name llms.txt.
Step 2. Add Your Content Links
Next, you need to add links to the content you want AI bots to see. The goal is to create a simple, clear map of your site using markdown headings and lists.
While you can just list your most important URLs, a best practice is to organize them into sections. You should always include a link to your XML sitemap, as it’s the most efficient way to show bots all of your public content.
Then you can create separate sections to highlight your most important posts and pages.
Here is a more structured template you can copy and paste into your llms.txt file. Just be sure to replace the example URLs with your own:
Once you’ve saved your file, you need to upload it to your website’s root directory. This is usually named public_html or www.
You can do this using an FTP client or the File Manager in your WordPress hosting dashboard. Simply upload the llms.txt file from your computer into this folder.
Step 4. Verify Your File Is Live
Finally, you can verify that your file is working correctly by visiting yourdomain.com/llms.txt in your browser.
You should see the list of links you just created.
Bonus: How to Block AI Bots Using Your robots.txt File
While using llms.txt to guide AI bots is great for GEO, you may decide you want to block them instead. If your goal is to prevent AI companies from using your content for training, then the official method is to add rules to your robots.txt file.
Important: Editing your robots.txt file can be risky. A small mistake could accidentally block important search engines like Google from seeing your site, which would damage your SEO. We recommend using a plugin like AIOSEO to do this safely.
Method 1: Edit robots.txt Using the AIOSEO Plugin (Recommended)
If you already use All in One SEO, this is the safest and easiest way to block AI bots. The plugin has a built-in robots.txt editor that prevents you from making mistakes.
First, navigate to All in One SEO » Tools in your WordPress dashboard. From there, find and click on the ‘Robots.txt Editor’ tab.
First, you need to click the toggle switch to enable custom robots.txt.
Then you will see an editor where you can add your custom rules. To block a specific AI bot, you need to add a new rule by clicking the ‘Add Rule’ button. Then you can fill in the fields for the User-agent (the bot’s name) and a Disallow rule.
For example, to block OpenAI’s bot, you would add:
User-agent: GPTBot
Disallow: /
You can add rules for as many bots as you like. I’ve included a list of common AI crawlers at the end of this section.
Once you’re done, just click the ‘Save Changes’ button.
Method 2: Edit robots.txt Manually via FTP
If you don’t use a plugin, you can edit the file manually. This requires you to connect to your site’s root directory using an FTP client or the File Manager in your hosting account.
First, find your robots.txt file in your site’s root folder and download it. Do not delete it.
Next, open the file in a plain text editor. Add the blocking rules you want at the end of the file.
For example, to block Google’s AI crawler, you would add:
User-agent: Google-Extended
Disallow: /
After you save the file, upload it back to the same root directory, overwriting the old file.
Common AI Bots to Block
Here is a list of common AI user agents you might want to block:
GPTBot (OpenAI)
Google-Extended (Google AI)
anthropic-ai (Anthropic / Claude)
CCBot (Common Crawl)
You can add a separate block of rules for each one in your robots.txt file.
FAQs About llms.txt and robots.txt in WordPress
I often get questions about managing AI crawlers. Here are some of the most common ones.
1. Will adding an llms.txt file affect my website’s SEO?
No, creating an llms.txt file won’t affect your regular SEO rankings. Search engines like Google still rely on your robots.txt file and other SEO signals to decide what gets indexed and ranked.
llms.txt is different. It’s designed for AI tools, not search engines, and is used to support Generative Engine Optimization (GEO). While it may help AI models better understand and cite your content, it doesn’t influence how your site appears in traditional search results.
2. Will using an llms.txt file help me get more traffic from AI?
No, using an llms.txt file isn’t a guaranteed way to get more traffic from AI tools. It can help by pointing language models like ChatGPT to content you want them to see—but there’s no promise they’ll use it or link back to your site.
llms.txt is still new, and not all AI platforms support it. That said, it’s a smart step if you want more control over how your content might be used in AI-generated answers.
3. What is the difference between llms.txt and robots.txt?
An llms.txt file acts like a guide for AI models, pointing them to the content you want them to see—your most helpful posts, tutorials, or pages. It’s meant to improve your GEO strategy by highlighting what’s worth citing.
In contrast, a robots.txt file is used to block search crawlers and AI tools from accessing specific parts of your site. You use llms.txt to say “look here,” and robots.txt to say “don’t go there.”
Final Thoughts on Managing Your Content’s Future
The world of AI and Generative Engine Optimization is changing fast. So, I recommend checking in on your strategy every few months.
A bot you block today could be a major source of traffic tomorrow, so being ready to adapt is key. You can always switch from blocking to guiding (or vice-versa) as your business goals evolve.
I hope this guide has helped you make an informed decision about the future of your content in the world of AI. If you found it useful, you might also like our other guides on growing and protecting your site:
I still remember the first time one of my articles appeared in the top 3 search results, but Google’s AI Overview credited someone else.
The frustrating part? The information came directly from my post. 😒
That moment really opened my eyes. That’s why I’ve spent the last several months studying how AI search tools like Google’s AI Overview, ChatGPT, Gemini, and Claude pull information.
I’ve tested different formats, structured data settings, and optimization strategies across multiple WordPress sites.
In this guide, I’ll break down what Generative Engine Optimization (GEO) means for WordPress users. You’ll learn how it works, how it compares to traditional SEO, and what specific steps you can take to help your content show up in AI answers — even if you’re not a tech expert.
If you’ve been worried about losing traffic or falling behind, you’re not alone. I’ve been through the same frustration. That’s why I created this guide: to help you adapt more quickly and with less stress.
Here is a quick overview of the topics I’ll cover in this guide:
What Is Generative Engine Optimization? (And Why It Matters for WordPress)
Generative Engine Optimization (GEO) means structuring your content so that AI tools like ChatGPT, Google’s AI Overview, Claude, and Gemini can easily understand, summarize, and include it in their answers.
These AI tools aren’t just scraping the web. Instead, they’re scanning for structure, clarity, and relevance. If your content is well-formatted, direct, and easy for language models to process, it has a better chance of being included in AI-generated answers.
Think of it like SEO, but instead of optimizing for search engine bots, you’re optimizing for AI models trained on massive amounts of text.
GEO doesn’t replace traditional SEO. It builds on it by focusing on how modern AI tools interpret and reuse information.
AI Search Is Already Here (And It’s Eating Your Traffic)
When Google first rolled out AI results, I figured they wouldn’t affect much. But I was wrong. In some cases, the summary used my content, but no one clicked through to my site.
And I’m not the only one who’s noticed this.
A recent study by Ahrefs analyzed 300,000 keywords and found that when Google showed an AI Overview, the top-ranking page saw a 34.5% drop in average clickthrough rate compared to similar results without AI.
AI tools are changing how people get answers. They often pull responses directly from existing content, and many users do not need to click past the summary.
In a recent interview, Cloudflare CEO Matthew Prince shared: “Today, 75 percent of queries get answered without you leaving Google.”
If your site is not included in that AI-generated answer, you are missing out on visibility and potential traffic, even if you are still ranking high in traditional search results.
The good news is that WordPress gives you the tools to adapt. With WordPress SEO plugins like All in One SEO, clear formatting, and structured content, you can prepare your site for both traditional rankings and AI search results.
That’s what helped me get my posts noticed again, and it can help you, too.
GEO vs SEO: What’s Different, What’s the Same?
SEO and GEO often overlap, but they have different goals. Traditional SEO helps your site rank in search results, while GEO helps your content get included in AI-generated answers.
With SEO, you’re optimizing for search engine bots that index and rank pages. With GEO, you’re optimizing for AI tools that summarize and generate answers. Both are important, but they reward different strategies.
Here’s a quick comparison of how SEO and GEO compare:
SEO
GEO
Focuses on ranking in search engine results pages (SERPs)
Focuses on being included in AI summaries and direct answers
Targets keywords, search intent, and backlinks
Targets clarity, structure, and prompt-friendly content
Requires strong metadata, title tags, and alt text
Requires schema markup, author info, and summary blocks
Optimizes for clicks from listings
Optimizes for being quoted or paraphrased by AI tools
Relies on content length, keyword density, and readability
Relies on short answers, definitions, and machine-parsable formatting
In simple terms, SEO helps people find you. GEO helps machines understand and use your content when answering someone’s question. If you want to stay visible, you’ll want to do both.
How AI Search Works Behind the Scenes
To optimize for AI search, it helps to understand how these tools work behind the scenes.
While each platform is different, they tend to follow similar patterns when deciding what content to summarize, cite, or ignore.
How Google AI Overviews Choose What to Display
Google isn’t guessing when it builds an AI Overview. It looks for content that’s clear, well-structured, and trustworthy.
From what I’ve observed, the following factors can increase your chances of being included:
Pages that already rank well organically, but not always
Content with short, direct definitions or summaries near the top
Posts with step-by-step formatting, like numbered lists or how-to blocks
Pages using schema markup for FAQs, HowTo, and definitions
Sites that show author names, publish dates, and E-E-A-T signals
Even if your content isn’t ranking in the #1 spot, it can still appear in the AI Overview, as long as it’s structured clearly. I’ve seen this happen on some of my own articles after I added schema and rewrote the introduction.
How ChatGPT, Claude, and Gemini Pull Info From Your Site
AI tools like ChatGPT, Claude, and Gemini don’t index pages the same way Google does. Instead, they use web crawlers or partner APIs to collect and learn from your content.
It’s helpful to know that some AI answers come from the model’s “memory” (its training data, which can be months old), while newer AI tools can browse the live web for up-to-date information.
If your site is public and crawlable, it may be part of the training or retrieval process, especially for tools like ChatGPT that include browsing or plugin features.
Even if they’re not pulling content in real time, AI models trained on older data can still paraphrase your writing.
That’s why formatting, clarity, and author signals are so important — they help models understand who said what, and how to attribute it.
What Makes Content “AI-Ready” (According to LLM Behavior)
I’ve tested dozens of prompts using content I’ve written, and the same pattern keeps showing up. AI tools prefer content that is structured, concise, and easy to break into smaller pieces.
Think of your blog post like a Lego set.
If it’s well-organized with labeled parts like subheadings, summaries, and schema, AI tools can easily pick out the pieces they need. If it’s just a wall of text, they are more likely to skip over it.
How to Optimize WordPress Content for Generative Engines (GEO Steps)
Now that we understand how AI search can be used to bring traffic to your website and improve its visibility, let’s look at some practical steps that you can apply right now.
Step 1. Choose the Right SEO Tool for the Job
If you’re using WordPress, the easiest way to optimize for AI search is by using the All in One SEO plugin. It’s already the best SEO plugin for WordPress — and in my experience, it’s also the most powerful tool for Generative Engine Optimization.
We use AIOSEO on WPBeginner and all our partner sites, and we’ve seen a noticeable improvement in AI Overview visibility since making a few small changes with its tools. See our full All in One SEO for WordPress review for more details.
It gives you full control over how your content appears in both search results and AI-generated answers.
Here are some of the key AIOSEO features I rely on for AI search optimization:
Schema Markup: Easily add HowTo, FAQ, Article, and custom schema to any page.
TruSEO Analysis: Get real-time suggestions to improve structure, readability, and clarity.
FAQ Blocks: Add machine-readable FAQs that help trigger AI citations.
Author + Publisher Info: Add structured author bios and business details to boost E-E-A-T signals.
In the steps below, I’ll show you how to apply these tools and strategies to your own content. If you already use AIOSEO, you’ll be able to follow along easily.
Note: A free version of All in One SEO is also available. You can give it a try, but I recommend upgrading to the paid version to unlock its full potential.
Step 2. Use Clear and Concise Language That AI Can Interpret
One of the biggest things I’ve learned is that AI tools don’t read like humans. Instead, they break content into small parts to understand what it means.
If your content uses complex language or too much jargon, then it becomes harder for AI tools to understand and quote it correctly.
When I rewrote some of my posts using shorter sentences and simpler words, I started seeing more of them appear in ChatGPT and Gemini responses. Clear content isn’t just better for people. It’s better for machines, too.
Here’s what I try to follow when writing for both readers and AI:
Keep sentences under 20 words whenever possible.
Use simple vocabulary unless a technical term is absolutely necessary.
Break long paragraphs into smaller ones, with one idea per paragraph.
Avoid run-on sentences, complex punctuation, and clever phrasing that might confuse AI tools.
Put the key point at the beginning of the sentence, then explain or expand after.
AIOSEO’s TruSEO score often flags issues like sentence length and clarity.
It analyzes your content for ideal paragraph and sentence length, active voice, transition words, consecutive sentence patterns, subheading usage, and Flesch readability score.
I use those suggestions as a quick check to make sure my posts are easy to scan, not just for readers, but for AI tools too.
Step 3. Include Direct Answers to Common Questions (Prompt Framing)
AI tools like ChatGPT and Gemini are designed to answer questions quickly. So if your content sounds like a clear answer to a common question, there’s a much better chance it’ll get used in AI responses. This approach is called prompt framing.
When I started rewriting my content to lead with short, direct answers, I noticed it getting picked up more often by AI tools. Instead of burying the answer in a long paragraph, I give it upfront, then explain the details below.
Here are a few real-world examples:
Original (food blog): Making banana bread is a simple process that involves mixing ripe bananas with other basic ingredients and baking until done.
GEO-Optimized: To make banana bread, mash ripe bananas and mix them with flour, sugar, eggs, and baking soda. Then bake at 350°F for about 50 minutes.
Original (travel site): Many travelers enjoy visiting Italy because of its food, history, and scenic views.
GEO-Optimized: The best time to visit Italy is in spring (April to June) or fall (September to October) when the weather is mild and crowds are smaller.
Original (personal finance blog): Having an emergency fund can reduce financial stress and help you manage unexpected expenses.
GEO-Optimized: An emergency fund is a savings account you use only for unexpected expenses like medical bills, car repairs, or job loss.
These direct answers match how people ask questions in AI tools. When your content mirrors those prompts, it’s more likely to be selected and cited.
Just tweak your prompt to ask for a short, direct answer first, followed by a more detailed explanation. This structure makes your content much more likely to be quoted by AI tools.
Here’s a simple prompt to show how you can apply it to your AI workflow:
Write a blog section that starts with a one-sentence answer to the question: [insert question]. Then follow up with 1–2 short paragraphs explaining the details in plain language.
This small change can make your AI-generated content easier for other tools to summarize, cite, and include in search results.
Schema markup is extra code that tells AI tools exactly which type of content you’re publishing, like a tutorial, FAQ, article, or product review.
It helps machines understand the purpose of your page so they can cite it more accurately.
Schema is one of the clearest signals you can add to your website. I’ve seen content picked up more often by Google’s AI Overview and tools like Gemini after adding the right markup, especially for step-by-step guides and FAQs.
Planning your post with schema in mind also makes writing easier.
For example, formatting your content as a list of steps, a set of questions and answers, or a recipe with ingredients and instructions gives your content a clear structure that works for both humans and machines.
When I first looked into schema markup, it felt overwhelming. But with All in One SEO, I don’t need to mess with code at all. I just pick the content type from the schema tab and fill in the form to generate schema markup.
Here are some of the schema types I use the most when optimizing for AI search:
FAQ Schema: Helps AI tools pull answers to common questions directly into their responses.
HowTo Schema: Makes it easier for AI to understand step-by-step tutorials or guides.
Article Schema: Adds author info, publish date, and headline context — important for building trust and E-E-A-T signals.
Recipe, Product, or Event Schema: Ideal for food blogs, online stores, or local businesses with structured content.
On WPBeginner and our partner sites, we’ve seen strong results in AI visibility after using schema consistently.
Schema is one of the most effective and underused ways to make your content easier to understand and feature.
Step 5. Format Content With Logical Headings and Subheadings
Clear headings and subheadings help AI tools understand how your content is structured.
They show which parts answer specific questions and make it easier for tools like ChatGPT or Gemini to quote the correct section.
Here’s how I recommend structuring your content:
Use H2 for main topics or major steps in a guide.
Use H3 or H4 for supporting details, examples, or sub-questions.
Write headings that clearly describe the section. Avoid vague titles like “More Info” or “Other Tips.”
Stick to a logical order and don’t skip heading levels (e.g., don’t jump from H2 to H4).
Use question-style headings when possible. This matches how people search and how AI tools interpret prompts.
Step 6. Include a Short Summary or Definition Near the Top
A short summary or definition at the beginning of your content makes it easier for AI tools to pull quick answers from your page.
This is different from answering multiple questions throughout the post. Think of this as answering the main question right away — like giving someone the TL;DR version before you dive into the details.
Here is an example of how Syed Balkhi used this practice in his article about choosing the best business phone service:
Most AI tools scan the top of your post for a quick explanation. If they find a clear summary in the first few lines, your content is more likely to appear in an AI Overview or chatbot response.
Here’s how I typically structure this:
Write a 1–2 sentence summary or definition right after the heading or intro.
Use simple language — imagine you’re answering a prompt in plain English.
Use bold text or a callout block to help it stand out for both readers and AI tools.
For example, in a post about “what to include in a wedding invitation,” I’d open with:
“A wedding invitation should include the couple’s names, event date, time, venue, and RSVP details. You can also add dress code, gift info, or a personal message.”
This kind of summary helps AI tools provide fast, accurate responses, especially when users are looking for quick answers or definitions. It also improves your chances of showing up in Google’s AI Overviews and featured snippets.
If you’re using AI to help you write content, you can train it to follow this approach. Just start your prompt with:
Begin the article with a one-sentence summary that directly answers the main topic or question.
Step 7. Add FAQ Blocks That Match Common User Prompts
FAQ blocks are not just helpful for readers. AI tools like Google’s Overview and ChatGPT also scan them to find short, clear answers to common questions.
I’ve noticed that when I include FAQs that match what people are actually searching for, those answers are more likely to get picked up by AI. It’s like giving models a ready-made response to show in their results.
For example, let’s say you run a bakery website. You could add FAQ questions like:
How far in advance should I order a birthday cake? A good rule is to place your order at least 3–5 days in advance to guarantee availability.
Do you offer gluten-free cupcakes? Yes, we have gluten-free options available for cupcakes and cakes. Just let us know when ordering.
These types of question-and-answer pairs match how people search in AI tools, which makes them very effective.
I normally add an FAQ section to my article, and then use All in One SEO to add FAQ schema directly in WordPress.
However, AIOSEO also comes with an FAQ block that you can use to easily add an FAQ section and then add the FAQ schema markup.
It’s built right into the block editor, so I can format each Q&A and automatically add the right structured data. That way, both humans and search engines understand what I’m offering.
If you’re using AI to help write your content, try prompting it like this:
Generate 3–5 FAQ questions that users might ask about [topic], and write answers in a conversational tone.
Step 8. Use Table of Contents and Jump Links for Structure
When AI tools scan your content, they look for structure. A table of contents (TOC) helps them understand how your post is organized and also makes it easier for readers to navigate.
In longer guides, I include a clickable table of contents near the top. It links to different sections using jump links, which helps both readers and AI tools find what they need.
A table of contents can also help your content appear in rich snippets, which may increase your click-through rate in traditional search results.
If you’re writing a post like “How to Start a Home Cleaning Business,” your table of contents might look like this:
Choose a business model
Register your business and get licenses
Buy the right cleaning supplies
Set your pricing and offer packages
This type of structure helps readers skim the page and also helps AI tools extract and cite specific answers.
I use the Table of Contents block that comes with All in One SEO because it automatically builds a TOC from my headings. If you aren’t using AIOSEO, then a great alternative is the Table of Contents Plus plugin.
Step 9. Cite Sources, Use Author Names, and Add Dates for E-E-A-T
Search engines and AI models both want trustworthy answers, and that means looking at more than just your words. They check who wrote the content, when it was published, and whether you’ve backed up your claims with reliable sources.
If you’re serious about showing up in AI results, you need to show you’re a real person with real knowledge. Not just another website blending in.
This is where E-E-A-T comes in. It stands for Experience, Expertise, Authoritativeness, and Trustworthiness.
For example, if you run a travel blog and write about travel insurance, you could cite a source like the U.S. State Department.
Similarly, if you’re giving parenting advice, referencing the American Academy of Pediatrics can help. These aren’t just helpful for readers. They also give AI models more confidence in your content.
Here’s a quick checklist I use to boost trust signals:
✅ Add an author name. Use your real name and include a short author bio with relevant experience.
✅ Show publish and update dates. This is especially important for topics that change often.
✅ Link to credible sources. Use rel="nofollow noopener" target="_blank" when linking externally.
✅ Create an About or Editorial policy page. Let visitors and AI know who you are and what expertise you have on the subject.
I use All in One SEO to manage all of this on my site. Here is how All in One SEO shows an Author bio box.
It lets me control how author names, dates, and schema appear so both users and AI can clearly see who’s behind the content.
If you want to go deeper, I recommend reading our full guide on what Google E-E-A-T means, written by Ben Rojas, the President of All in One SEO. It’s packed with tips for making your site more trustworthy, not just for Google but for all AI-driven platforms.
Step 10. Track AI Search Visibility and Traffic on Your WordPress Site
But here’s the catch — Google doesn’t tell you if your content is being used in AI Overviews. There’s no clear label or report that shows whether you were featured in an AI summary or not.
That’s why I use MonsterInsights on my WordPress sites. It connects with Google Analytics and shows where your traffic is coming from, including AI tools like ChatGPT, Bing Copilot, and Perplexity.
You can even track how visits from those platforms change over time by clicking on the ‘View All Referral Sources’ button.
If you want to go deeper, tools like GPTrends.io and Surfer SEO can help you track brand visibility or citations in ChatGPT and other AI responses. They’re powerful, but they come with a steep price tag.
You can also manually track your top keywords in Google Search Console and test them in AI tools to see if your site is mentioned in the results.
Until AI platforms offer more transparency, these are your best options for spotting opportunities and filling in the visibility gaps.
What Content Works Best for AI Search?
AI tools tend to favor content that’s clear, structured, and easy to summarize.
Here are the formats I’ve seen perform best in ChatGPT, Google’s AI Overviews, and other platforms.
Tutorials and How-To Guides: Step-by-step posts like “How to Start a Freelance Business” or “How to Make an Invoice in Excel” are easy for AI to break down into lists. Make sure to use numbered headings, short steps, and direct language.
Listicles and Comparisons: AI tools prefer clearly structured content. Using bullet points, subheadings, or comparison tables can make posts like “7 Free Logo Makers Compared” or “Mailchimp vs ConvertKit” easier to quote.
Opinion Posts With Clear Takeaways: Insight or experience-based articles work well when you include a summary or list of key points at the end. Make sure to include your name, author bio, and credentials to support E-E-A-T.
You do not need to change your niche. Just focus on formatting your content in a way that works for both readers and AI tools. Overall, a consistent layout makes it easier for AI to use your content in responses.
Bonus: Generative Engine Optimization Checklist for WordPress Users
Want to make your content easier for AI tools to understand, cite, and use in search answers?
Here is a quick checklist you can follow. I use this same list when optimizing content across my sites, and it works.
✅ Use simple, clear language that AI tools can easily understand.
✅ Begin with direct answers and follow with supporting details.
✅ Add schema markup using a plugin like All in One SEO.
✅ Use clear headings and subheadings to organize your content.
✅ Include a short summary or definition near the top of your post.
✅ Add FAQ sections that answer common user questions.
✅ Use a table of contents with jump links for easier navigation.
✅ Display the author name, publish date, and last updated date.
✅ Create an About page and author bios to support E-E-A-T.
✅ Use tools like MonsterInsights to track AI-related referral traffic.
Even if you only follow a few of these steps, you’ll be making your content more visible to AI search — and giving your site a better shot at getting cited.
Final Thoughts: Don’t Wait to Be Left Behind
Generative Engine Optimization isn’t a trend, it’s a shift. AI tools are already changing how people search, and they’re not slowing down anytime soon.
If your content isn’t ready for AI search, then you’re not just missing clicks. You’re also missing visibility and revenue, which is like leaving money on the table.
You don’t have to be a tech expert to optimize for AI. Most of it comes down to clear writing, good structure, established SEO best practices, and using the right tools.
That’s exactly why I recommend All in One SEO. It takes care of the technical stuff so you can focus on creating helpful content.
I’ve used AIOSEO on my personal projects as well as client sites. We also use it on WPBeginner and our partner sites, and I’ve seen it make a real difference in how AI tools pick up and display our content.
FAQs About Generative Engine Optimization
Generative Engine Optimization, also called AI Search Optimization, is still new and evolving. Here are answers to some of the most common questions I have received.
Is GEO the same as SEO? No, but they overlap. SEO helps your site rank in search engines. GEO helps your content get quoted by AI tools like ChatGPT, Gemini, and Google’s AI Overviews. The best approach is to focus on both.
How does structured data help with AI search? Structured data, also called schema markup, tells AI tools exactly what your content is about. It can highlight content types like FAQs, how-to guides, reviews, and more. Tools like All in One SEO make it easy to add schema to your posts.
Will Google’s AI Overviews replace regular search listings? Not completely, but they are already taking a large share of attention. A study by Ahrefs found that AI Overviews can reduce clicks to top-ranking pages by up to 34.5%. This is why it’s so important to structure your content for both search engines and AI tools.
What’s the best plugin to optimize WordPress for GEO? I recommend All in One SEO. It adds schema markup, connects to Google Search Console, includes a content analysis tool, and helps AI tools better understand and cite your content.
Can I appear in AI answers even if I’m not ranking high?
Yes. I’ve seen low-ranking pages get featured in AI summaries because they provided a clear answer, strong structure, or relevant schema markup. Ranking still helps — but AI tools often prioritize clarity over position.
Learn More About GEO (AI + SEO) in WordPress
Want to go deeper into using AI tools, writing optimized content, and staying ahead in the AI search era? These guides from WPBeginner walk you through practical ways to apply AI inside WordPress, from writing to SEO to images.
If you’ve made it this far, you’re already ahead of most site owners. Generative Engine Optimization may sound technical, but at its core, it’s just about making your content clear, helpful, and easy to understand — both for people and for machines.
With the right structure and tools, you can stay visible in the age of AI and continue growing your WordPress site with confidence.
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