Prioritize accessible pages that answer specific buying questions with verifiable evidence. No optimization guarantees an AI recommendation.
A potential customer may ask an AI system to compare providers, explain a service or outline what to consider before buying. A website that only describes its business as innovative, different and industry-leading gives that person little to evaluate.
GEO and AEO are common labels for this work. The commercial opportunity is to publish information people can assess and systems can interpret. There is no submission form that guarantees inclusion in every answer.
What changes and what still depends on SEO
Google Search Central’s current generative search guidance connects optimization with SEO fundamentals: content access, indexing and quality. It does not require an llms.txt file or special schema for inclusion, and inclusion is not guaranteed. This guidance concerns Google, not every AI search provider.
Before producing fifty articles, check whether important commercial pages can be crawled, explain the offer clearly and expose their main content without requiring an interaction. A compelling summary cannot compensate for an inaccessible page.
Sources: Google Search Central: Optimizing for generative AI features on Google Search
Choose questions that move a buying decision forward
Build a list from real sales conversations: who the service is for, what it includes, what affects pricing, what the client must provide and when it is not a good fit. Separate educational questions from comparisons and hiring decisions.
Hypothetical example: a commercial HVAC installer can explain how it evaluates a property, what information it needs for a quote and what maintenance it offers. It does not need invented service-area lists or claims that every system is equivalent. It needs an accurate scope and differences it can demonstrate.
Give readers evidence they can check
Include methods, conditions, dates and limitations when relevant. A case study should distinguish the starting position, work completed and documented outcomes. Without permission to publish client figures, explain the process or use a clearly labeled hypothetical example.
Keep the business name, services, coverage and contact details consistent across relevant pages. Contradictions between a landing page and a service page make human evaluation harder, regardless of how an AI system processes them.
Make answers useful without turning the site into a glossary
Start each section with a direct answer, then explain its conditions. Use descriptive headings, examples and links to the page where readers can act. Someone researching costs should find the factors affecting scope and a way to request an assessment, rather than twenty versions of the same question.
Do not split a coherent explanation into repetitive fragments to chase an alleged universal AI format. Use a simpler editorial test: does the page help someone make a better decision, and can it support its claims?
Measure signals without inventing a visibility share
Review Search Console and available reports within their stated scope, alongside identifiable analytics referrals and incoming inquiries. Asking prospects how they found you provides context, but a remembered answer is not exact attribution.
You can repeat a set of exploratory queries and record the date, location, language and system. Treat this as observation rather than a stable ranking: answers change, and your sample does not represent the entire market. An AI-referred visit also does not establish an incremental sale.
Start with a defined working cycle
Choose one offer and ten buying questions. Review its page, add missing evidence and connect useful answers to a relevant next step. Then observe discovery, qualified inquiries and questions that remain unresolved.
- The offer and its limitations make sense before a sales call.
- Important claims have evidence or are labeled as assumptions.
- Relevant pages are accessible and indexable.
- Each article connects to an appropriate service, tool or contact option.
- Reporting separates AI observations, traffic and commercial outcomes.
REFERENCES
Sources and review
Source documentation consulted on October 7, 2026. Platforms and features may change; check the official source before implementation. The English adaptation retains the source review date of the original article.
- Optimizing for generative AI features on Google Search Google Search Central
This guide provides general guidance. It does not guarantee search rankings or replace a review of your business, locations and data.