What Google Actually Says About AEO and GEO in 2026

Google’s generative AI features on Search still run on crawl, index, and helpful pages. AEO and GEO are industry labels; for Google they’re still SEO. Unique content and clear technical structure move the needle. Special AI-only files and schema packages do not.

If you’ve been pitched “AEO hacks,” “GEO frameworks,” or a special AI-only markup package this year, you’re not alone. Half the internet is selling a new acronym. The other half is quietly wondering whether Google changed the rules again.

Google already answered that. In plain documentation.

This is not another “what is AEO / what is GEO” glossary post. We published those earlier when the labels were new. This is the San Antonio agency translation of Google’s official guide to optimizing for generative AI features on Search — and the companion AI features doc — so you can spend money on work that still matters, not theater.

Skip the hack theater — start with what Google wrote

Google’s generative AI features in Search — AI Overviews and AI Mode — pull from the same core systems that power regular Search. They use techniques like retrieval-augmented generation (grounding answers in ranked web pages) and query fan-out (related sub-queries that pull more supporting pages). That’s Google’s language, not ours.

The practical implication for a local business: if your pages aren’t crawlable, indexable, and worth quoting, no amount of “AI SEO packaging” will invent a citation out of thin air.

Google also said something agencies sometimes skip: plenty of sites show up in Search — including generative AI experiences — without doing every item in the guide. You don’t need a 40-step checklist. You need the fundamentals done honestly.

AEO and GEO are industry labels; for Google they’re still SEO

“AEO” (answer engine optimization) and “GEO” (generative engine optimization) are terms the industry uses for work aimed at AI answer experiences. Google’s position is blunt: from Google Search’s perspective, optimizing for generative AI search is still optimizing for Search — so it’s still SEO.

We keep AEO/GEO as product language because buyers ask about ChatGPT, Perplexity, Claude, Gemini, and Google together. That’s multi-engine visibility. For Google specifically, don’t let a renamed service distract you from crawl, index, content quality, and helpful pages.

If a third-party pitch contradicts Google’s published guidance, treat it like any other SEO advice that can’t show its homework. Google even links out to evaluating third-party SEO advice from that same guide.

For how we talk about the multi-engine side on our site, see AI Visibility, SEO, and the AEO/GEO answers on our FAQ.

What actually moves the needle

Google’s guide keeps returning to two themes.

1. Unique, non-commodity content

Their examples are useful. Commodity content is the “7 tips for first-time homebuyers” piece anyone could write. Non-commodity content is the experienced take — something only you (or your shop) can say because you lived it.

For a San Antonio plumber, HVAC company, restaurant, or B2B service shop, that usually means:

• First-hand process detail, not recycled tip lists
• Local specifics that a generic model can’t invent accurately (service area truth, how you actually work, what goes wrong on real jobs)
• Clear structure humans can scan — headings, sections, pages that answer one real question at a time
• Images and video when they help, following the same image/video SEO practices you already should use for Search overall

Google also warns against manufacturing a separate page for every possible fan-out query just to manipulate generative responses. That’s scaled content abuse territory, and it’s a weak long-term bet because their systems already understand relevance without exact keyword match.

If you’re using generative tools to draft, the output still has to meet Search Essentials and spam policies. Tooling doesn’t get a free pass.

2. Clear technical structure

Nothing exotic. Indexed pages. Snippet-eligible. Crawlable. Reasonable page experience. Duplicates under control. JavaScript that doesn’t hide the important text.

Google’s AI features documentation is explicit: to appear as a supporting link in AI Overviews or AI Mode, a page must be indexed and eligible to show in Google Search with a snippet. There are no additional technical requirements.

Also note their Search Console caveat: a site needs to be included in Search generative AI features in Search Console to be eligible for display in those features. That’s a settings/eligibility detail worth checking — not a new schema type.

Local and ecommerce details still matter where they apply: Google Business Profile, Merchant Center feeds, accurate business info. Same playbook as good local SEO, now also visible inside generative responses when Google chooses to surface that information.

What you can ignore for Google Search

This is the mythbusting section Google published so agencies would stop selling superstition.

llms.txt and other “special” machine-readable AI files: Google Search does not use them for Search, including generative AI capabilities. Creating and maintaining an llms.txt (or similar) for other services or systems is fine. For Google Search visibility and rankings, it neither helps nor hurts — Google ignores it.

We still maintain llms.txt as a clarity map for other crawlers and for our own curation. That’s a different job than “rank in AI Overviews.” Our plain-English setup piece is What Is llms.txt?. Read that post with this Google caveat in mind: useful file, wrong lever for Google Search.

Special AI-only schema: Structured data is not required for generative AI search, and there’s no special schema.org markup you need for Overviews/AI Mode. Keep using structured data for rich results eligibility as part of normal SEO. Don’t buy a package that pretends a new AI schema type unlocks Overviews.

Chunking content into tiny AI-sized bites: Not required. Google can understand multi-topic pages. Write for your audience; length follows the job.

Rewriting everything into “AI-speak”: Not required. Synonyms and meaning are understood. Don’t burn a quarter inventing every long-tail variation.

Chasing inauthentic mentions: Generative features can surface what’s said across the web, but spam systems and quality systems still matter. Fake mention campaigns are the old link scheme in a new hoodie.

How we measure Google AI features (Search Console, not vibes)

Google’s instruction is simple: use the Generative AI performance report in Search Console (and overall Performance / Web reporting) to see how people discover you through generative AI features on Search and Discover.

They also warn — correctly — that no third-party tool has access to Google’s internal ranking or AI systems. Use vendor tools if they help your workflow. Don’t treat their “AI rank” scores as gospel.

Our own habit, disclosed as a dated baseline rather than a forever KPI: for capturethatmedia.com, Search Console Generative AI reporting for June 15–September 14, 2026 showed 140 impressions (verified in our baseline notes on 2026-09-16 CT). That’s a measurement habit, not a brag. Numbers move; the point is we look at the official report instead of inventing a private scoreboard.

Separate note for later, not the main topic of this post: as of late September 2026 Google also started rolling multimodal search performance into Search Console (Lens / Circle to Search style queries and related). Useful when image-led discovery matters for your business — announcement here — but it’s not a substitute for the generative AI report above.

ChatGPT and Perplexity are a different scoreboard

This is where agencies blur lines on purpose.

Google Search generative features are measured in Search Console. ChatGPT, Perplexity, Claude, and similar assistants are not Google Search. Showing up there is real work — entity clarity, quotable pages, third-party mentions where those systems look — but it is a separate proof system.

We prove that side in public on our Citations Wall. Today that wall shows 0 live citations · 276 checks · 37 prompts. Empty is intentional. We do not plant sample rows so a prospect sees fake wins. Automated checks hit Perplexity and Gemini on a Monday cron; ChatGPT and Claude are logged by hand until those APIs expose stable citation metadata. When a real citation lands, it posts. Until then, the zero is the honest answer.

If an agency flashes “12 ChatGPT citations” with no methodology, ask how they verified it — and whether they’d publish the empty state.

Wrong facts in AI answers are a related problem (hours, phone, services). That’s entity truth work, not a new acronym. See AI Is Getting Your Business Facts Wrong.

What a San Antonio business should do this month

Keep it boring and useful:

1. Pick the pages that should get you hired — services, FAQ passages, About, one local proof page — and make them uniquely yours, not commodity summaries.
2. Fix crawl/index basics — robots, internal links, important text in HTML, Search Console coverage, snippet eligibility.
3. Align entity truth — NAP, GBP, site facts, so engines (Google and otherwise) don’t invent yesterday’s phone number.
4. Measure Google generative visibility in Search Console’s Generative AI report — and treat ChatGPT/Perplexity as a separate tracker if that channel matters to your buyers.
5. Ignore pitches that require special AI-only files, magic schema, or guaranteed Overview placement.

That’s the work. The acronyms are optional packaging.

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Author: Roger Wong Won, founder of Capture That Media, San Antonio's AI Visibility specialist. Want a straight read on Google generative features and the multi-engine side? Run a free Instant AI Audit or book 15 minutes.

Sources: Google’s AI optimization guide; AI features and your website; multimodal GSC foreshadow: web multimodal in Search Console.