SEO Is Changing: How to Get Your Brand Recommended by ChatGPT, Gemini & Google AI

Imagine someone asks ChatGPT:

"What are the best digital marketing tools for a small business?"

Or asks Gemini:

"Which analytics platform should I use to track my website conversions?"

Instead of browsing ten websites, the person gets a direct answer with recommendations and, sometimes, links to supporting sources.

Now here's the important question:

Will your website be one of those sources, or will your competitors get the visibility?

For years, SEO was mostly about ranking pages on Google. You researched keywords, optimized titles, built backlinks, improved page speed, and tried to get your website onto the first page.

Those things still matter.

But search behavior is expanding. People are increasingly using AI-powered search experiences to research products, compare services, troubleshoot problems, and make decisions.

Google AI Overviews, Google AI Mode, ChatGPT Search, and Gemini are changing how people discover information.

This creates a new challenge for website owners, developers, founders, and marketers:

How do you make your website easier for AI-powered search systems to discover, understand, trust, and cite?

Let's break it down practically, including the technical SEO checks, content strategies, and measurement methods you can start using today.

1. Traditional SEO vs. AI Search Optimization

Traditional search engines generally return a list of relevant pages. Users click through those pages to find their answers.

AI-powered search experiences can synthesize information from multiple sources and provide a conversational response. Depending on the platform and query, they may also cite websites.

Consider this question:

"What's the best email marketing platform for a small e-commerce business with a limited budget?"

A useful answer requires more than a page targeting the keyword "best email marketing platform."

The user needs to understand pricing, integrations, automation features, limitations, and which option fits their particular situation.

A website that provides a transparent, well-researched comparison has something valuable to contribute.

Here's how the approaches differ:

These approaches are complementary, not competing strategies.

Google's official documentation explains that established SEO practices remain relevant to its AI search experiences. There is no separate set of secret optimizations required to appear in AI-generated answers.

Reference: Google's guide to AI features and your website

2. What Are GEO and AEO?

Two terms you'll frequently encounter are GEO and AEO.

GEO (Generative Engine Optimization) describes efforts to improve a brand's visibility in generative AI responses.

AEO (Answer Engine Optimization) focuses on making information useful and accessible to systems that answer questions directly.

For example, a developer tools company might want to appear when someone asks:

• Which API monitoring tools are suitable for startups?
• What is the best alternative to a particular analytics platform?
• How can I reduce API response times?
• Which hosting platform is best for a small SaaS application?

The goal is to publish useful information that addresses these questions accurately.

However, neither GEO nor AEO guarantees a recommendation. AI systems use different retrieval methods, ranking processes, and information sources.

You cannot force a platform to recommend your website simply by adding a particular heading, schema property, or text file.

Instead, focus on the things you can control: accessibility, content quality, accuracy, expertise, and user experience.

3. Understand How AI Search Systems Discover Websites

Different platforms have different technical requirements and behaviors.

ChatGPT Search

ChatGPT can search the web and provide answers with source links.

OpenAI documents OAI-SearchBot as the crawler used to discover web content for ChatGPT Search.

If you want your public pages to be eligible for discovery through ChatGPT Search, check that your website does not unintentionally block this crawler.

Official documentation: OpenAI — Publishers and developers FAQ

Google AI Overviews and AI Mode

Google's AI search features build on its search infrastructure.

Your website still needs to be accessible and eligible for Google Search. Being indexed, however, does not guarantee inclusion in an AI-generated response.

Continue focusing on crawlability, relevant content, internal links, and a good user experience.

Official documentation: Google — AI features and your website

Gemini

Gemini's behavior depends on the product experience and available information sources.

Do not assume that a technique that works for one AI platform will produce the same results on another.

Make your content accessible to search systems, publish accurate information, and test your visibility across the platforms that matter to your audience.

The main lesson is simple: AI search optimization begins with a technically accessible, genuinely useful website.

4. Technical SEO Checks You Should Perform First

Before creating dozens of new articles, make sure search systems can access the pages you already have.

Check your robots.txt file

A robots.txt file provides instructions to compliant crawlers about which parts of a website they may access.

For example, a site might use the following configuration:

User-agent: *
Disallow: /admin/
Disallow: /private/

Sitemap: https://example.com/sitemap.xml

This allows general crawling while requesting that crawlers avoid the specified paths.

If you want your content to be eligible for ChatGPT Search, you can explicitly allow its search crawler:

User-agent: OAI-SearchBot
Allow: /

Sitemap: https://example.com/sitemap.xml

Important: Replace example.com with your actual domain and merge these rules carefully with your existing configuration.

Do not blindly replace your robots.txt file. You might accidentally block resources or paths that your website needs.

Also remember that robots.txt is not an access-control mechanism. Private data should be protected through proper authentication and authorization.

Check for accidental noindex directives

A page may be accessible to a crawler but explicitly marked as ineligible for indexing.

For example:

<meta name="robots" content="noindex">

If this appears unintentionally on an important public page, investigate why.

Also check HTTP response headers for directives such as X-Robots-Tag.

Check canonical URLs

Canonical tags help indicate the preferred URL when similar or duplicate pages exist.

Example:

<link
  rel="canonical"
  href="https://example.com/guides/ai-search-seo/"
/>

Make sure the canonical URL points to the intended page and is consistent with your site structure.

Canonical tags are not a guarantee of indexing, but incorrect canonicalization can create unnecessary discovery problems.

Check your XML sitemap

An XML sitemap can help search engines discover important URLs.

A simple example:

<?xml version="1.0" encoding="UTF-8"?>
<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">
  <url>
    <loc>https://example.com/</loc>
  </url>
  <url>
    <loc>https://example.com/blog/ai-search-seo/</loc>
  </url>
</urlset>

Use your CMS or sitemap generator where possible rather than maintaining a large sitemap manually.

Include canonical URLs for pages you want search engines to discover. Keep the sitemap updated as your content changes.

Don't forget JavaScript rendering

If your website is built with React, Next.js, Vue, or another JavaScript framework, verify that important content is accessible to search engines.

Check that:

• Page titles and metadata are correct.
• Important text is available when the page is rendered.
• Internal links are crawlable.
• Content does not depend on inaccessible interactions.
• Your server does not accidentally return errors to crawlers.

Modern search engines can process JavaScript, but rendering behavior and timing can vary. Server-side rendering or static generation can simplify discovery for many content-heavy websites.

5. Write Content That Answers Real Questions

Technical accessibility is only half the job. Your content also needs to be worth discovering.

Consider two versions of an article about conversion tracking.

Version A:

"Conversion tracking is an important part of digital marketing. Businesses should use analytics to improve their marketing performance."

Version B:

"Conversion tracking records important actions, such as purchases, qualified leads, and subscriptions. Before launching an advertising campaign, verify that the conversion event fires correctly, is not duplicated, and records the expected value."

The second version is more actionable. It explains what conversion tracking does and identifies practical checks.

You can apply the same approach to almost any technical or marketing topic.

For every article, ask yourself:

1. What specific problem is the reader trying to solve?
2. What is the direct answer?
3. What steps should they follow?
4. What examples or evidence can I provide?
5. What limitations or exceptions should they understand?

A useful structure is:

• A direct introduction.
• A clear explanation of the problem.
• Step-by-step instructions.
• Examples, screenshots, or code where appropriate.
• Common mistakes and troubleshooting tips.
• A short conclusion with practical next steps.

Do not make every paragraph artificially short because you think AI systems prefer a particular format. Organize the article around the reader's needs.

6. Original Content Is Your Biggest Opportunity

Let's be honest: the internet already contains thousands of articles about SEO, analytics, marketing automation, and web development.

Publishing another generic article provides little reason for readers to choose your website.

Original information gives your content a stronger purpose.

For example, you could:

• Benchmark website performance and document your methodology.
• Publish a technical SEO audit with screenshots.
• Compare the behavior of different analytics tools.
• Build a small script to automate a repetitive SEO task.
• Document the results of a content experiment.
• Analyze a public dataset and publish your findings.
• Share a case study showing what worked, what failed, and why.

You don't need a large company or an expensive research budget to do this.

A developer can build a simple crawler that checks canonical tags, status codes, titles, and robots directives. A marketer can analyze campaign performance and explain what the numbers reveal.

The important part is to be transparent about the data, methodology, assumptions, and limitations.

For example, if you test five websites, do not present the findings as if they represent the entire internet.

Useful content doesn't have to be complicated. It has to provide something real.

7. Build Topical Authority With Connected Content

Suppose you want your website to become known for technical SEO.

Instead of publishing unrelated articles, create a connected collection of resources.

For example:

Main guide: Technical SEO for Modern Websites

Supporting articles:

• How to Audit robots.txt
• How Canonical Tags Work
• XML Sitemaps: A Practical Guide
• JavaScript SEO for React Applications
• How to Find Indexing Problems in Google Search Console
• Structured Data: Implementation and Validation
• How to Measure Organic Search Performance

Link related articles together wherever it helps readers.

Your main guide can link to the detailed tutorials, while those tutorials link back to the main guide or other relevant resources.

This structure helps visitors navigate your content and gives search engines more context about the relationship between pages.

It also helps you build a recognizable subject area instead of publishing disconnected articles.

Topical authority is not a magic score, and there is no guaranteed number of articles you must publish. Focus on covering the subject well.

8. Use Structured Data Correctly

Structured data helps search engines interpret certain information about a page or entity.

For example, a website may use Organization markup to describe its organization or Article markup to describe an article.

Here's a simplified Organization example:

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Example Company",
  "url": "https://example.com",
  "description": "Example company description."
}
</script>

Replace the sample values with accurate information about your organization.

You can validate supported structured data with Google's Rich Results Test and review general markup at Schema.org.

A few important points:

• Markup must accurately represent your website.
• Do not add fake reviews or ratings.
• Avoid marking up information that does not exist on the page.
• Use the schema types appropriate for your content.
• Validate your implementation and fix errors.

Most importantly, don't assume that adding schema automatically makes a brand more likely to appear in AI answers.

Google says that no special schema markup is required to appear in its AI search features.

Structured data is useful when implemented correctly, but it is not a shortcut to AI recommendations.

9. Build Credibility Beyond Your Own Website

Your website is only one part of your online presence.

People also discover brands through professional communities, industry publications, reviews, product directories, customer discussions, and recommendations.

Building a credible presence across relevant sources can help prospective customers understand what your brand does.

Practical approaches include:

• Publishing useful open-source projects.
• Contributing technical articles to respected publications.
• Sharing original research and useful datasets.
• Participating in relevant developer communities.
• Earning genuine customer reviews.
• Collaborating with industry experts.
• Publishing transparent case studies.

For example, a company offering website monitoring software could publish a benchmark comparing monitoring approaches, release a useful open-source tool, and explain its findings in a detailed article.

Other developers might reference the work because it helps them.

That is much more sustainable than manufacturing brand mentions.

Avoid buying fake reviews, creating artificial discussions, or paying unrelated websites to mention your brand purely to manipulate AI recommendations.

Build a reputation that people can verify independently.

10. Should You Create an llms.txt File?

You may have seen recommendations to create an llms.txt file to help AI systems understand your website.

The idea is to provide a structured overview of important resources for language models.

However, you should not treat this file as a required AI SEO technique.

Google's published guidance says that an llms.txt file is not required for its AI search features.

Before spending time creating extra files, prioritize:

• Making important pages accessible.
• Fixing indexing and canonicalization issues.
• Publishing useful content.
• Building relevant internal links.
• Maintaining accurate information.
• Measuring actual visibility and business outcomes.

You can experiment with optional files if they serve a specific, documented purpose for a platform you use. Just don't expect them to produce a ranking boost on their own.

11. Does AI-Generated Content Hurt SEO?

Not automatically.

AI tools can help with research, outlining, brainstorming, editing, and identifying gaps in an article.

The problem is publishing large amounts of content without meaningful review or value for readers.

For example, generating 200 articles that repeat the same information with slightly different keywords is not a strong content strategy.

A better workflow looks like this:

1. Research the question and identify reliable sources.
2. Use AI to help organize the outline.
3. Verify factual claims.
4. Add original analysis, examples, and practical experience.
5. Check the content for repetition and inaccuracies.
6. Publish only when the article genuinely helps the intended reader.

Google's guidance focuses on content quality and whether a page is created to help people, rather than simply whether AI was involved.

Read Google's guidance on creating helpful, reliable, people-first content.

12. Measure AI Search Visibility Instead of Guessing

You cannot improve a process reliably if you never measure the results.

Start with a simple spreadsheet and track these metrics.

Keep mentions and citations separate. A platform can name your brand without linking to your website.

Similarly, a citation does not necessarily generate a visit or a conversion.

A practical tracking workflow

Step 1: Create a list of relevant prompts.

For a technical SEO website, examples might include:

• How do I troubleshoot a robots.txt problem?
• Which tools can audit canonical tags?
• How do I improve SEO for a React website?
• What is the best way to monitor indexing issues?
• Which technical SEO tools are suitable for small teams?

Step 2: Test them across platforms.

Where relevant search features are available, run the prompts in ChatGPT Search, Google AI search experiences, and Gemini.

Record the exact prompt, date, response, cited sources, and whether your brand appeared.

Step 3: Identify gaps.

Look for questions where competitors are consistently referenced but your website provides little useful information.

Don't automatically copy competitor content. Identify what readers still need and create a better resource.

Step 4: Review monthly.

Compare results over time and investigate whether your changes improve visibility, traffic, or conversions.

Remember that AI answers vary by query, context, date, and platform. A small collection of manual tests can reveal useful patterns, but it is not a complete measurement of every user's experience.

For Google, use Google Search Console to monitor traditional search performance and available reporting. For ChatGPT, OpenAI documents referral URLs containing utm_source=chatgpt.com, which can help identify incoming traffic.

13. A Practical 30-Day Implementation Plan

You don't need to rebuild your website overnight.

Here's a manageable plan.

Week 1: Fix the foundations

• Review robots.txt and crawler access.
• Check important pages for indexing problems.
• Verify canonical tags and sitemap configuration.
• Review mobile usability and page performance.
• Set up or review Google Search Console and analytics.

Week 2: Improve existing content

• Choose three important pages.
• Identify the questions those pages fail to answer.
• Add original examples and practical guidance.
• Improve headings, internal links, and relevant visuals.
• Verify factual claims and outdated information.

Week 3: Build credibility

• Publish a useful case study or original analysis.
• Improve your About and service pages.
• Update relevant professional profiles.
• Share useful work with relevant communities.
• Look for legitimate opportunities to earn industry references.

Week 4: Measure and improve

• Create a list of 20–30 relevant AI search prompts.
• Record brand mentions and citations.
• Review referral traffic and landing pages.
• Identify missing content and technical issues.
• Decide what to improve next based on the evidence.

The goal is to build a repeatable process rather than chase a quick ranking trick.

14. Common Mistakes to Avoid

Before implementing an AI search strategy, watch out for these mistakes:

Mistake 1: Assuming that ranking first guarantees an AI citation.

Traditional rankings and AI-generated answers are different experiences. Good SEO helps, but there is no guarantee of inclusion.

Mistake 2: Publishing content only for AI systems.

Your content should help real people first.

Mistake 3: Adding unnecessary technical files.

Do not prioritize optional AI-related files over basic crawlability, content quality, and indexing.

Mistake 4: Buying backlinks or fake brand mentions.

Build legitimate references and a credible reputation.

Mistake 5: Ignoring traditional SEO.

Internal links, crawlability, useful content, and a good website experience still matter.

Mistake 6: Tracking mentions without tracking outcomes.

Visibility matters, but business results matter too. Track meaningful visits, enquiries, and conversions.

Final Thoughts

SEO is expanding beyond traditional search results.

People can now discover businesses, tools, and information through AI-generated answers and recommendations. That creates new opportunities for website owners, developers, founders, and marketers.

But the fundamentals remain surprisingly familiar.

Make your website accessible. Explain things clearly. Publish original information. Build credibility. Keep your content accurate. Measure what happens.

Don't waste months searching for a secret AI ranking formula.

Instead, build a website that deserves to be discovered.

The goal isn't simply to get mentioned by AI. It's to become a source that people can trust and that AI systems can confidently reference when your content is relevant.

Start with one important page, improve it properly, measure the results, and repeat.

Useful Resources

• Google: AI features and your website
• Google: Creating helpful, reliable, people-first content
• Google Search Essentials
• OpenAI: Publishers and developers FAQ
• Schema.org
• Google Search Console