How to Optimize for Google AI Overviews and AI Mode in 2026

Google AI Overviews and AI Mode have changed what it means to be visible in search.

A traditional Google result might show your page as one blue link among several others. An AI-powered result can instead interpret the user’s question, search across multiple related topics, generate an answer, and surface a selection of supporting websites inside that response.

That raises an obvious question: how do you optimize a website to appear in Google AI Overviews and AI Mode?

Google has now answered much more of that question directly.

In 2026, Google published dedicated guidance for optimizing websites for its generative AI search features. The most important takeaway is surprisingly simple: there is no separate secret optimization system for Google AI search.

Google says its AI features remain rooted in the same core Search ranking and quality systems used by traditional Google Search. AI Overviews and AI Mode use techniques including retrieval-augmented generation and query fan-out to retrieve relevant pages from Google’s search index before constructing responses.

So optimizing for Google AI search starts with strong SEO. But that does not mean nothing has changed.

The way Google discovers supporting information, the complexity of user questions, and the importance of original, non-commodity information all make some areas more important than they were in a traditional keyword-first SEO strategy.

Here is how we approach it at Reliqus.

First: Understand How Google AI Overviews and AI Mode Work

AI Overviews and AI Mode are related, but they are not identical.

Google describes AI Overviews as a way to help users quickly understand complex topics and then explore supporting links. AI Mode is designed for more exploratory searches, complex comparisons, and questions that might previously have required multiple separate Google searches.

Both can use what Google calls query fan-out.

Suppose someone asks:

“What is the best ecommerce platform for a small fashion company that wants good SEO and low maintenance costs?”

Google may not treat that as one query. Its systems can generate additional related searches around subjects such as:

• ecommerce platform SEO
• Shopify maintenance costs
• WooCommerce SEO
• platform pricing
• ecommerce scalability
• small-business ecommerce platforms

Google retrieves information across those related subtopics and uses it to construct the response.

This changes how we should think about content. Trying to optimize one page for one exact phrase is increasingly insufficient. You need to demonstrate useful depth around the entire decision the person is trying to make.

1. Make Sure Google Can Crawl and Index the Page

Before thinking about AEO, GEO, entities, or citations, get the technical foundation right.

According to Google’s Search Essentials, to appear as a supporting link in AI Overviews or AI Mode, a page must:

• Be indexed by Google;
• Be eligible to appear in Google Search;
• Be eligible to display a snippet.

There are no additional technical eligibility requirements specifically for AI Overviews or AI Mode.

That means the usual SEO problems can also become AI-search problems. For example:

• A valuable page is blocked in robots.txt.
• Important content only appears after client-side JavaScript that Google cannot properly render.
• A canonical tag points to the wrong page.
• The page is accidentally marked noindex.
• Important pages are buried so deeply in the site hierarchy that internal discovery becomes difficult.
• Your CDN or security layer blocks Googlebot.

If Google cannot reliably discover and process your content, rewriting the introduction to sound more “AI-friendly” will not solve the problem. Google specifically recommends maintaining crawlability, internal links, strong page experience, and keeping important content in crawlable textual form.

2. Stop Producing Commodity Content

This is probably the most important change in Google’s guidance. Google explicitly recommends creating non-commodity content for generative AI search.

Commodity content is information that is easy to reproduce and adds little beyond what is already available. For example:

• 10 Benefits of SEO
• 7 Tips for Better Content
• What Is Local SEO?

Those topics can still be useful, but if the article merely restates information already available on hundreds of websites, there is little reason for Google’s AI systems to treat it as a unique, valuable source. 

Google says content with a unique point of view, genuine expertise, or first-hand experience is much more useful than content that simply summarizes existing search results.

This should have a major impact on content strategy.

• Instead of: 10 Ways to Improve Local SEO
  A stronger Reliqus case study article would be: We Audited 50 Local Business Profiles: The Problems We Found Most Often
• Instead of: Best Website Speed Tools
  A stronger version includes: Which tools we tested, how we tested them, where each one failed during client audits, and what we actually use.
• Instead of: How Much Does SEO Cost?
  Add: What different budgets realistically buy, what we prioritize at each level at Reliqus, and when spending more is justified.

3. Add First-Hand Experience Wherever You Actually Have It

Google’s search guidelines specifically highlight first-hand reviews and lived experience as examples of content providing a perspective unavailable from a generic summary.

For our work at Reliqus, this is an important opportunity because many of the subjects we write about are things our team actively works on every day:

• An article about technical SEO can contain: what our developers normally check first during a live technical audit.
• A tool comparison can contain: the exact workflows and edge cases we run into using that tool at Reliqus.
• An industry SEO article can explain: the common pitfalls we repeatedly see when auditing multi-location healthcare clinics.
• A web development article can explain: the architectural issues we encounter when businesses outgrow off-the-shelf templates.
• A case study can clearly demonstrate: baseline metrics → our intervention → measurable results → timeframe.

The point is not to simply add “according to our experts” to generic content. The point is to contribute something your company actually knows and has experienced firsthand.

4. Cover the Full Decision, Not Every Keyword Variation

Query fan-out creates a temptation: if Google might search several related concepts, should you create a separate page for every possible query variation?

Google explicitly says no. Its guidelines warn against publishing large numbers of pages for every possible query or fan-out variation simply to manipulate Search or generative AI responses. Doing so can fall under Google’s spam policies on scaled content abuse.

The better strategy is to build the new SEO stack for AI-first discoverability, asking: what does somebody need to understand before they can confidently make this decision?

For example, someone evaluating an SEO partner needs clear information about:

• Realistic pricing models
• Agency vs. freelancer trade-offs
• Expected turnaround timelines
• What deliverables are included
• How progress and results are measured
• Common industry red flags
• Contract structures and scopes

That does not require seven near-duplicate pages. It requires a coherent information architecture where each genuinely different question has its proper place. For businesses with established websites, the next phase should focus on depth and differentiation, not generating a new URL for every slightly different prompt.

5. Make Important Information Easy to Find

There is a useful distinction between writing content specifically for an AI bot and simply writing content clearly for human beings. Google recommends the latter.

Good content structure includes:

• Clear headings (H2, H3)
• Logical, progressive sections
• Direct definitions
• Comparison tables where useful
• Practical examples and case evidence
• Well-connected internal links

Google explicitly notes that you do not need to break pages into artificial, bite-sized “AI chunks.” Its systems are fully capable of understanding multiple related concepts within a single, comprehensive page. There is also no specific ideal page length for generative AI search.

You do not need to write awkward Q&A blocks like:

Q: What is GEO?

A: GEO means…

every 100 words simply because an AI system might extract it. Instead, give important questions direct, clear answers in the opening lines, and then provide readers with the thorough explanation needed to fully understand them.

6. Strengthen Internal Linking

Internal linking is particularly important when your website contains related information spread across multiple pages. Google specifically recommends maintaining a clear internal linking structure to help search crawlers navigate and discover your content.

Think of your website as an organized knowledge base. For example, within an AI-search topic cluster:

• An article on Google AI Overviews optimization should connect naturally to tracking Google Search Console AI Overviews and AI Mode, because anyone optimizing visibility will eventually need to track it.
• It should connect to AEO vs GEO vs SEO, helping users understand where AI Overview optimization sits within their broader organic strategy.
• It should connect to a discussion on Schema and AEO/GEO when explaining structured data.
• It should connect to our teardown of llms.txt myths when explaining search discovery.
• And relevant pages should link directly to the commercial AEO & GEO / AI Search Optimization Services page.

This isn’t just an internal SEO tactic; it directly helps users and AI systems understand how your topical expertise is structured.

7. Keep Critical Information in Text

AI search is increasingly multimodal, but text remains the foundation of indexable data.

Google specifically recommends ensuring that core information is available in textual form. For example:

• Do not lock essential pricing or comparison tables inside an unindexed image graphic.
• Do not force users to download a PDF just to read basic service deliverables.
• Do not hide key product features behind JavaScript tabs that do not have crawlable text equivalents.
• Do not rely solely on a video to explain your company’s core process.

Images, charts, and videos add great value, but the essential meaning and value of the page must be fully readable directly in the HTML text.

8. Add Useful Images and Video When the Topic Benefits From Them

Google’s guidance highlights images and video as valuable elements within generative AI search. Because AI Overviews can surface media carousels alongside website links, high-quality visual assets offer an extra path to visibility.

• A technical audit guide benefits from annotated, real-world dashboard screenshots.
• A website design breakdown should show actual UI interfaces and mobile views.
• A case study is far more compelling with real performance graphs and workflow charts.
• An AEO/GEO guide can include visual examples of query fan-out and citation placements.

Media should never be used as generic page filler—every visual element should serve to explain or clarify a specific point.

9. Keep Structured Data Accurate, But Don’t Treat Schema as an AI Ranking Hack

Structured data remains an essential part of clean SEO, but not for the mythical reasons often claimed in aggressive GEO pitches.

Google makes it clear: there is no special Schema.org markup required for AI Overviews or AI Mode.

You should still implement structured data because it clarifies entity relationships and helps earn rich search snippets. It must also match what is visibly present on the page:

• Organization schema establishes entity identity.
• Product schema clarifies pricing, availability, and specs.
• Article schema clarifies authorship and publication dates.
• Breadcrumb schema clarifies site hierarchy.

However, simply adding more schema properties will not generate an automatic “AI visibility boost.” Schema helps machines verify information; it does not replace the need for original, high-quality content.

10. Do Not Create llms.txt for Google AI Overviews

There is persistent misinformation suggesting that webmasters must create an llms.txt file to be cited by Google AI.

Google has stated directly that it does not use llms.txt for Google Search or AI Overviews. Maintaining or omitting this file has zero impact on your visibility in Google’s generative search experiences.

While an llms.txt file might have utility for certain independent developer tools or external LLM scrapers, it is not a Google ranking or citation signal. Do not spend time treating it as an AEO prerequisite.

11. Don’t Manufacture Third-Party Mentions

Another common GEO myth is that you should “get your brand mentioned everywhere, at all costs.”

While Google’s systems look at signals across the broader web—including genuine customer reviews, discussions, and industry citations—Google warns that spamming or fabricating mentions is completely counterproductive. Its long-standing Search Spam Policies apply fully to generative AI search.

The objective should never be mass submissions to low-quality web directories or paying for automated mentions. Instead, focus on building authentic brand authority through:

• Meaningful industry publications and PR
• Genuine expert commentary and interviews
• Unsolicited, verified client reviews
• Published original research and white papers
• Real participation in professional industry communities

This creates legitimate digital corroboration that search systems can safely trust.

12. Keep Google Business Profile Accurate for Local AI Search

AI search optimization is not limited to long-form blog posts. Google explicitly notes that generative search responses often assemble local business recommendations, meaning your Google Business Profile data must be thoroughly maintained.

For local companies, ensure your core details are current and complete:

• Exact business name, physical address, and local phone number
• Up-to-date operating hours and holiday schedules
• Primary and secondary service categories
• Detailed service and product menus
• Fresh customer photos and verified reviews

This is especially critical because modern conversational queries are highly specific (e.g., “Which pediatric dental clinics near me are open after 6 PM and take my insurance?”). Accurate, detailed attributes allow Google’s AI to match your business to multi-conditional prompts.

13. Keep Merchant Center Accurate for Ecommerce AI Search

The same precision applies to online stores. Google frequently integrates the Google Shopping Graph directly into AI Overviews, making an accurate Google Merchant Center feed essential.

For ecommerce sites, always keep key transactional attributes synchronized in real time:

• Current pricing and real-time inventory availability
• Comprehensive product identifiers (GTIN, MPN, Brand)
• Accurate shipping costs, delivery windows, and return policies
• High-resolution product images and variant specifications

A beautifully crafted buying guide will not win commercial AI search placements if the accompanying product feed contains conflicting pricing or out-of-stock data.

14. Understand That Google’s AI Features Can Surface a Broader Set of Sources

Traditional SEO tends to view visibility as an all-or-nothing race: if you aren’t in the top three positions, your traffic drops off sharply.

However, because AI Mode and AI Overviews break questions apart using query fan-out, they retrieve supporting information from a wider variety of pages across multiple subtopics. As a result, an AI response may cite a page as an authoritative source even if that page doesn’t hold the #1 organic position for the user’s exact initial query.

This does not make traditional rankings irrelevant, but it does mean visibility is more distributed. Building an ecosystem of thorough, topic-focused pages creates multiple pathways for Google’s systems to reference your work.

15. Don’t Optimize for an “AI Score”

The rise of generative search has produced many software platforms claiming to calculate your “AI Optimization Score.”

While testing the best AI visibility tools is useful for monitoring brand mentions, tracking competitive prompts, and analyzing citations, no third-party software has access to Google’s proprietary AI ranking algorithms.

If an audit tool shows an “AI Score of 95/100,” remember that this is an arbitrary formula created by that vendor. Use these tools for competitive market research and citation monitoring, but never treat their internal scores as official Google performance indicators.

16. Measure Google AI Visibility in Search Console

Google provides reporting capabilities in Google Search Console that help track performance across modern search appearances, including generative AI features.

Rather than running one-off manual prompts and assuming you have a reliable read on your visibility, use verified Search Console data to monitor trends:

• Which pages consistently earn impressions in generative search experiences?
• Is overall AI-driven visibility growing or shrinking month-over-month?
• Which specific queries and topic clusters trigger AI citations for your brand?
• Which geographic regions generate the highest impression volume?

Relying on Search Console data allows you to base your strategy on real user impressions rather than guesswork.

A Practical Google AI Optimization Framework

Rather than treating AI optimization as a collection of disjointed tricks, we organize the work across six distinct operational layers:

Rather than treating AI optimization as a collection of disjointed tricks, we organize the work across six distinct operational layers:

If your technical crawlability or original experience is lacking, changing schema tags or adding generic FAQs will not solve the problem.

What We Prioritize First at Reliqus

When clients ask us how to optimize their site for AI Overviews and AI Mode, we do not begin with a generic rewrite of their content.

Our diagnostic workflow at Reliqus follows a clear progression:

1. Verify Technical Eligibility: We audit whether core commercial and informational URLs are fully indexable, fast, and eligible for standard snippet display.
2. Evaluate Existing Topical Footprint: We analyze which subject areas search engines already associate with the client’s domain.
3. Uncover Unshared Subject Expertise: We identify where the client’s team possesses deep, practical knowledge that has never been documented on their site.
4. Map the Decision Journey: We pinpoint the exact, multi-step questions prospective customers evaluate before choosing a provider in that sector.
5. Close Competitor Information Gaps: We audit competing sources to identify what their content leaves unanswered or vague.
6. Reinforce Trust and Authority: We connect the client’s content to verified author bios, original case studies, authentic client reviews, and industry citations.

Only after completing this diagnosis do we implement changes. Depending on what we find, the solution might involve creating comprehensive new guides, improving existing service pages, correcting structured business data, or fixing crawl efficiency.

AEO and GEO require precise diagnosis, not generic checklists.

What You Do NOT Need for Google AI Overviews and AI Mode

Based on Google’s official documentation and search policies, you do not need:

• Special AI Schema: Standard Schema.org markup is sufficient; there are no secret AI-only microdata properties.
• An llms.txt file: Google does not use this protocol to rank or cite pages in Search.
• An artificial “AI writing tone”: Natural, direct, and authoritative writing for human readers is what Google recommends.
• Pages broken into tiny snippets: Google easily evaluates complex, comprehensive pages.
• Dozens of near-duplicate pages: Creating pages for every slight keyword variation violates scaled content policies.
• Manufactured mentions: Automated directory submissions and fake citations provide no sustainable value.
• A disconnected, third-party AEO system: AI search optimization remains rooted in core SEO principles.

Final Thoughts

Optimizing for Google AI Overviews and AI Mode does not mean abandoning traditional SEO. It means aligning your website with how search technology has matured.

Modern search engines are built to interpret complex, conversational inquiries, expand them into related subtopics, gather information across multiple sources, and highlight the most credible websites.

The greatest advantage belongs to websites that are technically sound, logically structured, rich in first-hand experience, and focused on publishing original value that cannot be copied from an existing search results page.

Want to Improve Your Visibility in AI Overviews and AI Mode?

Reliqus’ AI SEO services combine technical SEO, content architecture, entity mapping, and real performance tracking to help your business earn visibility across modern AI search experiences.

We don’t begin with an “AI optimization score.” We begin by understanding what Google can currently discover, what your customers are asking, what competitors are providing, and what evidence your website and wider brand ecosystem are missing.

Ready to audit your AI visibility? Contact us today or chat directly with our team on WhatsApp to get started.

Frequently Asked Questions

How do I rank in Google AI Overviews?

There is no separate button or secret code to rank in an AI Overview. Pages must be indexed and eligible for standard Search snippets. Focus on building technically accessible pages, demonstrating genuine subject matter expertise, and providing direct, non-commodity answers to complex customer questions.

How do I optimize for Google AI Mode?

AI Mode frequently uses query fan-out to explore related aspects of complex queries. Rather than optimizing a single page for a single exact keyword, structure your content around the full decision a user is trying to make, connecting related concepts through logical internal links.

Does Schema markup help with AI Overviews?

Standard Schema markup helps search engines interpret entities, products, and article structures accurately. However, Google does not require any special schema format for AI Overviews, and adding structured data alone will not force an AI citation.

Do I need an llms.txt file for Google AI?

No. Google has stated that it does not use llms.txt for Google Search or AI Overviews.

Should I add large FAQ sections to every page?

Only add FAQs if they answer real, valuable user questions. Do not pad pages with dozens of obvious, low-quality Q&A pairs simply to appease AI bots; Google’s models understand natural long-form prose.

Can AI-assisted content appear in AI Overviews?

Yes. Google does not penalize content solely because AI was used to help write it. What matters is the quality, accuracy, and utility of the final page. Low-value, mass-produced content created primarily to manipulate search continues to violate Google’s spam policies.

Can I track my performance in AI Overviews?

Yes. Use Google Search Console’s performance reports and search appearance filters to track real impressions, clicks, and ranking queries originating from generative search features.