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A source-checked breakdown of Google's official AI search guide, which AEO tactics to skip, and a practical audit you can run this week
Exploding Topics lists Answer Engine Optimization among its trending US topics, with search growth shown as "99x+" over five years in a list last updated on October 20, 2026. That figure measures search interest. It does not prove that any specific tactic works.
The surge has produced a crowded market of advice: llms.txt files, content "chunking", mention-building campaigns, and special markup. Before you spend time on any of it, it helps to read what Google itself has published. This article does that, then converts the official position into decisions you can act on.
On May 15, 2026, Google announced a new resource, Optimizing your website for generative AI features on Google Search, on the Search Central blog. When we checked on October 23, 2026, the documentation page showed a last-updated date of July 10, 2026.
The guide's answer to "is SEO still relevant?" is yes. Google says its generative AI features are rooted in the same core ranking and quality systems as regular Search. It addresses the acronyms directly: from Google's perspective, optimizing for AI search is optimizing for the search experience, and so it is "still SEO".
Google names two techniques that pull content from its Search index:
Our reading of what this means: because of fan-out, one thorough page that answers a topic and its natural follow-up questions can be retrieved for several sub-queries. You do not need a separate thin page for each variation. In fact, Google warns that producing separate pages for every query variant mainly to manipulate rankings or AI responses violates its scaled content abuse policy.
| Label | Stands for | How it is commonly used | Google's stated view |
|---|---|---|---|
| SEO | Search engine optimization | Improving visibility in search results | The foundation, including for AI features |
| AEO | Answer engine optimization | Work aimed at being the source of direct answers in AI experiences | Same goal as SEO from Google Search's perspective |
| GEO | Generative engine optimization | Work aimed at visibility in generative AI responses | Same goal as SEO from Google Search's perspective |
Google also tells site owners to apply its guidance on evaluating third-party SEO advice before paying for "AEO" or "GEO" services.
This table maps common AEO advice to Google's published position for Google Search, plus our practical recommendation.
| Tactic | What Google's guide says | Our recommendation |
|---|---|---|
| Create an llms.txt file | Google Search does not use it and ignores it. Creating one neither helps nor harms Google visibility | Optional. Only build it if another service you care about reads it |
| "Chunk" content into tiny pieces | No requirement. Google can understand multiple topics on one page | Skip. Structure for readers, with clear headings |
| Rewrite pages just for AI systems | Not needed. AI systems understand synonyms and meaning | Skip. Write naturally for people |
| Build inauthentic brand mentions | Not as helpful as it seems; spam systems still apply | Avoid. Earn real mentions through useful work |
| Add special schema markup for AI | Structured data is not required for generative AI search, and no special schema exists | Keep standard structured data for rich-result eligibility only |
| Publish a page for every query variation | Can violate the scaled content abuse policy | Avoid. Expand one strong page instead |
| Add quality images and video | Encouraged; AI features can surface images and video | Do, where they genuinely help the reader |
| Publish unique, non-commodity content | Described as likely the biggest long-term influence | Do. This is the main lever |
| Keep pages crawlable and indexable | Required for eligibility | Do, and verify it |
Google draws a line between commodity and non-commodity content. Commodity content, such as a generic "7 Tips for First-Time Homebuyers", rests on common knowledge that anyone could write. Non-commodity content offers a first-hand or expert perspective that goes beyond it.
For a site about search and marketing, that distinction might look like this:
The second only exists if you have done the work. Do not invent experience or data to make a page look original. If you do not have first-hand results, a clearly sourced analysis with your own comparison framework can still add value, as long as it says what it is.
This is our own checklist, not Google's. Run it on any article before publishing or updating:
If you answer "yes" to the first question or "no" to the second, improve the page before worrying about any AEO tactic.
Google states that a page must be indexed and eligible to appear in Search with a snippet to show up in its generative AI features. It also states that meeting every requirement does not guarantee crawling, indexing, or serving.
| Check | Why it matters | How to verify |
|---|---|---|
| Page returns HTTP 200 and is indexable | Unindexed pages cannot be used | URL Inspection in Search Console |
| No noindex directive and not blocked by robots.txt | Blocks crawling or indexing | URL Inspection; robots.txt review |
| Snippets are allowed | Eligibility requires a snippet. A page set to nosnippet is, by definition, not eligible to be shown with one | Review robots meta tag and X-Robots-Tag settings |
| Main content renders for Googlebot | JavaScript content works if it is not blocked | URL Inspection's rendered view |
| Good page experience on mobile | Google lists display across devices and low latency | Core Web Vitals report, PageSpeed Insights |
| Duplicate content reduced | Wastes crawling resources and creates a poor experience | Canonical tags, consolidation of near-duplicates |
| Site included in AI features in Search Console | Google says this is required for display | Check your Search Console property settings |
Google points site owners to the Generative AI performance report in Search Console to see how content performs in generative AI features on Search and Discover.
The guide also warns against third-party tools that claim to use "internal" Google metrics. No outside tool has access to Google's internal ranking or AI systems. Use such tools if they help your workflow, but check their advice against Google's documentation.
The guide includes a short section on AI agents that complete tasks, such as booking or comparing products. Google describes this as a quickly evolving space and links to agent-friendly website practices on web.dev. It also mentions emerging protocols such as the Universal Commerce Protocol.
For most content sites, this is a "monitor" item. If you run ecommerce or booking flows, review it sooner.
Honest limits matter here:
Treat any claim that goes beyond these limits, including ours, as a hypothesis to test on your own site.
For Google Search, Google says no: it treats optimizing for generative AI search as part of SEO. The terms AEO and GEO are used elsewhere in the industry to describe AI-focused work, but they do not change Google's technical requirements.
No. Google states that Google Search does not use llms.txt files, and that creating one will neither help nor hurt your visibility there.
Not directly. Google says structured data is not required for generative AI search and that no special markup exists. It is still worth using for rich-result eligibility as part of normal SEO.
Possibly, since unique, helpful, crawlable content is broadly valuable, but Google's guide does not cover other platforms. Test and measure rather than assume.
The headline from Google's own documentation is refreshingly unglamorous: the path into AI answers runs through the same fundamentals as regular search. Make pages crawlable, indexable, and snippet-eligible, then publish content that offers something a generic summary cannot.
Skip the hacks that Google says it ignores, resist spinning up pages for every query variation, and measure with Search Console instead of vendor dashboards. If you want one action for this week, run the five-question page test on your ten most important pages and fix the weakest one first.
Sources: Google Search Central's generative AI optimization guide, the Search Central blog announcement, and Exploding Topics' trending topics list.
Method and disclosure: This article was researched and drafted by an AI editorial assistant, with facts checked against the primary Google documentation on October 23, 2026. Statements labeled "our reading", "our recommendation", or "our own checklist" are editorial analysis rather than Google statements. Google may update its guidance, so re-check the source before making major decisions. To report an error, use the corrections process described in our editorial standards.
