July 2026 field note
What AI search actually needs from a business website.
The practical foundation for AI-powered discovery looks familiar: accessible pages, clear facts, useful original content, and honest measurement.
Terms such as GEO and AEO describe a growing interest in how websites appear in AI-generated answers. They do not replace the fundamentals of search discovery.
Ordinary SEO remains the foundation
Google says its generative search features rely on the same core crawling, indexing, ranking, and quality systems used by Search. That keeps the first priorities practical: publish useful public pages, use clear titles and headings, provide crawlable links, consolidate duplicate URLs, maintain accurate facts, and give visitors a good experience on every device.
There is no separate technical switch that guarantees inclusion in an AI answer. Search and AI platforms decide what they index, rank, retrieve, cite, or recommend.
Make important facts explicit
A page should be understandable without requiring a crawler—or a visitor—to infer the business’s basics. Use the same verified name across the homepage, About page, contact information, structured data, and public profiles. Describe services directly and state scope boundaries where they matter.
If a price is published, connect it to the correct offer. If a service area or credential is unconfirmed, do not add one for visibility. Focus each URL on a primary subject and use descriptive headings. A concise opening answer helps readers orient themselves; deeper sections provide context and evidence.
There is no universal ideal word count or special chunking requirement for Google’s AI features. Write the amount a real topic needs, then organize it so people can find the answer and its support.
Publish material only the business can provide
Generic summaries are easy to reproduce. Original process details are more useful: a homepage-planning checklist, a responsive QA method, an explanation of how scopes are defined, a structured-data verification sequence, or clearly disclosed managed-work examples.
Support platform claims with primary sources and separate observation from conclusion. If an AI system cited a page on one date, that does not prove why it selected the page or that it will do so again. AI tools can assist with research and organization, but claims, links, dates, descriptions, and source relationships still need deliberate verification before publication.
Understand crawler controls
Googlebot and Bingbot support their respective search systems. OpenAI says OAI-SearchBot controls whether public site content can be considered for summaries and snippets in ChatGPT search; GPTBot concerns potential model training and can be managed separately.
Allowing a crawler creates access, not inclusion. Firewalls, bot protection, authentication, rate limits, or unsuccessful responses can still prevent crawling even when robots.txt permits it. An llms.txt file may help systems that choose to consume it, but Google says the file has no effect on its Search or generative features.
Measure observations, not promises
Search Console can show Google search activity and surface-specific reports. Bing Webmaster Tools can report supported citation activity and grounding-query groupings. OpenAI says ChatGPT referral links can include utm_source=chatgpt.com. Each signal has a different definition; none is a universal “AI rank.”
Record the platform, date range, URL, query or grouped intent, and exact metric. Improve the controllable foundation, check again with the same method, and report what changed without claiming causation the evidence cannot establish.
Request a point-in-time visibility snapshot, see Vloom’s website-first process, or review Vloom’s verified capabilities.