Search has visibly changed over the past couple of years. AI Overviews now sit above traditional results for a large share of queries, AI Mode gives searchers a fully conversational interface, and a growing amount of online advice treats this as an entirely new discipline — often branded "GEO" (generative engine optimization) or "AEO" (answer engine optimization) — with its own tactics and rules.
Google's own position, published directly through Google Search Central, is more grounded than most of that advice suggests.
What Google actually says
In its official guide, "Optimizing your website for generative AI features on Google Search," Google states plainly that existing SEO best practices remain the relevant ones for AI features. There is no second, parallel ranking system that AI Overviews or AI Mode draw from — a page has to already meet Google's standard technical requirements and be eligible to appear with a snippet in regular search before it can ever be considered as a supporting link in an AI-generated response.
Just as importantly, Google is explicit about what it does not require:
- No special schema.org markup exists specifically for AI Overviews or AI Mode.
- An
llms.txtfile is not something Google's systems look for or require. - Breaking content into artificial "chunks" does not improve how AI features understand it.
- Content does not need to be rewritten in a special style or phrasing "for AI."
This is a case worth separating documented guidance from industry interpretation. Google's own published position is that AI-feature optimization is "still SEO" — not a distinct system with its own exploitable rules. Content marketed as a "GEO hack" or a guaranteed way to appear in AI Overviews should be evaluated against that fact, not taken at face value.
What Google's guidance does emphasize
Rather than new mechanics, the guidance reframes familiar SEO fundamentals around what an AI system actually needs to produce a useful, extractable answer:
- Genuinely useful, non-commodity content. Pages with a specific point of view, original analysis, or first-hand expertise are more useful raw material for a generated answer than content that just restates what's already widely available.
- Clean technical fundamentals. Crawlability and correct indexing remain the entry requirement — a page an AI system can't reliably access can't be cited by it, regardless of content quality.
- Accurate, corroborated information. Content that's easy to verify against other sources is inherently easier for a system summarizing across many pages to trust and use.
Google also introduced Search Generative AI performance reports in Search Console (announced June 3, 2026), giving site owners visibility into impressions specifically from AI Overviews and AI Mode, broken down by page, country, and device — a genuinely new measurement capability, even though the underlying optimization advice isn't new.
What's actually different about how people search now
Separate from the ranking-mechanics question, AI Mode has genuinely changed search behavior in ways worth planning content around. Queries in a conversational interface tend to be longer and more specific than a traditional keyword search — someone typing into AI Mode is more likely to ask a full question with context ("what's the difference between X and Y for a small team on a budget") than the truncated keyword phrases search boxes trained people to type for two decades.
That shift favors content that already answers a specific, complete question clearly — a well-structured FAQ, a comparison that states its assumptions, a guide that addresses the actual decision someone is trying to make — over content optimized primarily around a short exact-match keyword phrase. This isn't a new content strategy invented for AI; it's the same "answer the actual question thoroughly" advice good SEO has given for years, just with a more direct payoff now that a conversational query is more likely to surface a page that does exactly that.
What this means for a business's website
The practical implication is less dramatic than "AI search changes everything," and more useful: the technical and content work that was already good practice — solid technical SEO, fast and reliable pages, and genuinely informative content — is the same work that gives a page a chance to be surfaced in an AI-generated answer. There's no separate track to build, and no legitimate shortcut around the fundamentals.
Where it's worth adjusting effort is in prioritization: content that's derivative or thin was already a weak SEO bet, and it's an even weaker one now that a generated summary can answer a generic question without ever needing to send a visitor to any single source. The pages worth investing in are the ones with something genuinely specific to say — the kind of content an AI system can't easily synthesize from ten other pages saying the same thing.
