AEO and GEO Tactics Google Says You Can Ignore
Quick answer: For Google’s generative AI search features, you do not need special AI schema, an llms.txt file, forced content “chunking,” or pages made for every query variation. Google’s guidance is to keep doing strong SEO: publish unique, useful content, maintain technical crawlability, and measure the results.
AEO and GEO are useful labels for thinking about how people discover information through answer engines. They are not a replacement for evidence, technical SEO, or a reason to turn a website into a library of near-duplicate AI-targeted pages.
Myth: Google needs a special AI file or special schema
Google says there are no additional technical requirements or special schema markup required to appear in AI Overviews or AI Mode. It also says Google Search does not use llms.txt files to influence visibility or rankings in its generative AI features.
That does not make every machine-readable file useless. A maintained site map can help a human or another system understand a site. The point is narrower: do not present an AI text file or FAQ schema as a guaranteed route into a Google AI Overview. Use structured data when it accurately describes visible content and supports the search features it is actually designed for.
Myth: every paragraph must be broken into tiny chunks
Google says there is no requirement to fragment content into small pieces for its systems to understand it. The better rule is reader clarity. A comparison may need a table; a technical procedure may need ordered steps; a research explanation may need context before the conclusion. Choose the form that helps the person using the page.
Myth: more query variants means more AI visibility
Creating a separate page for every possible phrasing of a question is not a durable strategy. Google warns against producing many pages mainly to manipulate rankings or generative responses. Its systems can understand related wording and topical relevance without an exact-match page for every fan-out query.
Instead, build one complete page around a real customer task. Cover the answer, the decision criteria, the exceptions, and the proof. Then link that page from relevant product, service, comparison, and glossary pages so both readers and crawlers can discover it.
Myth: buy or manufacture mentions everywhere
Third-party sources can matter because people and systems use independent references to evaluate a product. But Google specifically cautions against inauthentic mentions. Earned reviews, accurate listings, useful community participation, documented customer stories, and original research are qualitatively different from a batch of paid or fabricated references.
What to do instead
- Make the page eligible: allow crawling, remove accidental noindex rules, use a canonical URL, and give the page internal links.
- Publish non-commodity information: add first-hand experience, a method, an original comparison, real product details, or primary-source evidence.
- Keep claims checkable: link facts to sources and update them when the underlying product, policy, or market changes.
- Use structure for people: clear headings, readable lists, honest tables, and descriptive images make a page easier to use and easier to understand.
- Measure outcomes: use Search Console and analytics for Google search performance, then use repeatable prompt sampling only as a directional view of other answer engines.
The practical definition of AI search optimization
For Google, AI search optimization is still SEO applied to a changing search experience. The most defensible work is not a hidden trick: make a useful page accessible to crawlers, make its central answer easy for a reader to find, substantiate the claims, and keep the information current.