Getting cited by AI search, for a site with ten pages

A small website can improve how clearly it explains its business and how reliably its pages can be discovered. It cannot guarantee that an AI search product will cite it. Start with useful public content, accurate facts and working pages, then evaluate optional machine-readable artifacts against evidence of their purpose.

The distinction matters because several different activities are often sold under one label: ordinary search optimization, structured data, content formatting, crawler access and experimental conventions. They do not have the same adoption or the same relationship to a visible citation.

What Google documents for its AI search features

Google states that its established SEO practices apply to AI Overviews and AI Mode. It does not require a special AI text file or a special schema type for inclusion. Pages still need to meet the relevant search requirements, and eligibility does not guarantee selection. Google's guidance on AI features is the reference for those products; it should not be treated as a statement about every assistant or search provider.

For this site, the practical implication is to prioritize the pages themselves. A service explanation that leaves essential questions unanswered does not become complete because a separate file summarizes it. A precise, well-maintained article is useful to customers whether or not a particular system chooses it as a source.

There is no preferred SEO word count

Longer articles can be more useful when they include the steps, examples, exceptions and evidence a reader needs. Length alone is not the objective. Google explicitly says it has no preferred word count in its people-first content guidance.

For a migration resource, worthwhile depth might include a URL decision sheet, a worked content conversion, an explanation of publishing responsibilities or a checklist that can be used during launch. Repeating the introduction in several forms adds words without helping the reader complete the task.

Where llms.txt fits

The llms.txt project describes a convention for providing a machine-readable guide to a website. Its existence is not evidence that every major assistant consumes a particular site's file or that publishing one improves citations.

If the file is useful to a documented consumer or inexpensive to maintain, it may be reasonable to provide it. Generate changeable facts from the same source as the public pages where practical, and verify that the links work. Keep the role modest: it is an additional representation of the site, not a replacement for accessible, accurate content.

Before making an adoption claim, identify the provider, the documented behavior and the date checked. Avoid broad statements about what all AI systems do or do not read.

Tool access is a separate question

A file describing an endpoint does not automatically register that endpoint with an agent, establish authorization or make the site discoverable in search. A tool description needs a consumer that understands it and an underlying operation that behaves as documented.

Chrome's WebMCP documentation describes browser-facing tool capabilities. That should be distinguished from inventing a JSON file at a well-known path and assuming that other products will discover it. If a site offers machine-readable service or pricing data, explain what is implemented and what remains an experiment.

For a small service website, tool access and search visibility may both be useful topics, but they solve different problems. A visitor looking for a reliable explanation should not have to understand an experimental integration to find the answer.

Make important facts easy to find and verify

A small service business can begin with a factual inventory. What service is offered, who is it for, where is it available, who does the work and what happens when somebody gets in touch? Put those answers on relevant pages in readable text.

Then look for contradictions. If the pricing page, a downloadable guide and a machine-readable endpoint describe different starting prices, the site creates ambiguity for every reader. A shared content source can reduce that drift, but the result still needs review when the business changes.

Use precise qualifications. A starting price is not a quote for every project. An illustrative timeline is not a guaranteed delivery date. A supported integration is not evidence that it is configured for every customer. Clear boundaries make a passage more useful without pretending that they guarantee a citation.

Write answerable sections around real customer questions

Choose questions the business actually receives. For a migration service, those might concern what exports, how publishing works afterward, what affects the estimate and what happens to existing URLs. Give a direct answer, then explain the conditions and the practical next step.

A useful section can stand on its own while still belonging to a coherent article. Name the platform or operation instead of relying on an unclear pronoun. Put the source beside a changeable product claim. Distinguish firsthand project experience from an illustrative example.

Avoid inventing numbers to make the content appear quotable. If you have a measured result, explain what was measured and under what conditions. If you do not, a clear decision rule or worked example can still be valuable.

Keep structured data aligned with the visible page

Structured data should describe what the page actually presents. Choose relevant types and properties, keep identities consistent, and verify that values such as names, URLs and service descriptions match the visible content.

Do not add a type merely because it sounds advantageous. Eligibility for a search feature depends on the search provider's documented requirements, and correct markup does not guarantee that a feature appears. A technically valid description can still be inappropriate if it misrepresents the page.

Treat markup as another representation of the same facts. Where practical, generate it from the content source used by the page so an editorial update does not leave an older claim elsewhere. Check the rendered output after changes to templates or content models.

Distinguish access, selection and referral

A crawler reaching a page, a search system selecting it as a source and a visitor clicking through are separate events. Evidence for one does not establish the others. A request in server logs shows access, not that the page was cited in an answer.

Search and assistant products also differ in how they discover material and report referrals. Review each provider's current documentation when making crawler decisions. A training crawler and a search crawler may serve different purposes; allowing one should not be treated as an informed policy for all of them.

When evaluating results, record what you actually observed. That may be a referral visit, a visible citation in a particular response or a change in search performance. Include the date and context. Avoid turning a few manually tested prompts into a general visibility score without a repeatable method.

Run a small content experiment you can interpret

Choose one article with a clear audience and a real information gap. Record its current content, relevant search queries where available, visits and conversions. Add a substantive answer, example or working artifact that makes the page more useful.

Keep the change log specific. If you also change the title, internal links and page design, record those changes rather than attributing any later difference to one paragraph. Use a review period appropriate to the site's traffic and avoid drawing conclusions from a handful of visits.

Compare business outcomes as well as visibility. A page that brings a few well-qualified inquiries can be more useful than one that attracts many readers with a different need. The purpose of the resource library is to help the right reader understand the work and make a decision.

A practical order of work for a small site

That sequence remains useful even if a proposed convention never becomes widely adopted. The site's core value is the information and service it provides. Optional artifacts should support that work and remain accurate, rather than becoming a substitute for it.

Decide what success means

Choose observable outcomes before changing the site. Relevant search visits, qualified inquiries, useful referrals and accurate answers to customer questions are more concrete than a promise to become AI-ready.

Keep a record of what was changed and why. Where a result is uncertain, say so. That makes the resource useful as the tools evolve and prevents a speculative convention from becoming a permanent claim that nobody has checked.