Useful content reduces uncertainty. An agent comparing options needs capabilities, constraints, evidence, and a next step. Repeating “AI-ready” does not answer whether an API supports a file type, a freelancer serves a region, or a restaurant can accommodate a group.

Start from a decision, not a keyword list

Choose a customer question with a meaningful constraint. “Invoice extraction” is broad. “Extract line items from scanned invoices and retrieve the completed JSON asynchronously” gives a documentation page a specific job. “Private dining near the station for twelve people” requires location, capacity, menu, and booking information.

Document the information that would rule your offering in or out. A good page can explain when you are not a fit. This helps both people and agents avoid a failed handoff and gives the right customer a clearer reason to continue.

Use this content brief

FieldWhat to write
Reader's taskThe result the customer is trying to achieve
Deciding constraintsInputs, region, budget unit, compatibility, timing, or availability
Direct answerWhat you support and where the boundary is
EvidenceDocumentation, actual policy, reproducible example, or attributable source
Next stepThe exact page, inquiry, booking, or operation that continues the task
Owner and review triggerWho updates it when the product or policy changes

This is an editorial template, not a search-engine requirement. Its purpose is to help someone make a decision from the page alone.

Make the important paragraph self-contained

A retrieved excerpt may lose the navigation and surrounding marketing copy. Name the product and the unit of the claim. “Supports files up to 20 MB” is more useful than “Works with large files,” if 20 MB is the actual enforced limit. Explain whether the limit applies per file, request, or account.

Keep qualifications next to the claim. Do not put a sweeping promise at the top and a contradictory exception in an unrelated FAQ. Put price units next to amounts, geographic limits next to availability, and experimental status next to feature descriptions. These examples are writing practices, not evidence that a particular format guarantees citation.

Build evidence that deserves a reference

An original test can be valuable when it includes the method, inputs, dates, version, failures, and scope. A comparison can be useful when the criteria are explicit and material limitations are acknowledged. Attribute outside claims to the source that supports them; a link to a company's homepage is usually weak support for a precise technical statement.

Do not fabricate ratings or testimonials to fill a structured-data field. Do not disguise sponsored placement as independent evaluation. A repeated assertion across pages you control is still one publisher's assertion, not independent corroboration.

Publish one source in useful representations

Keep visible HTML as the canonical reading experience. Offer focused Markdown when useful, and link to exact reference pages. Structure recurring facts consistently, preferably from the same underlying record. Avoid making an enormous text dump the only way to learn one small fact.

Google says its AI Search features do not require a special AI file or new schema type. A Markdown export can improve convenience without being a ranking requirement. Google's guidance.

Check comprehension before publishing more

Ask a reader or an authorized test agent to answer three questions from the page: what can this do, what prevents it from fitting, and how does the customer continue? Require supporting passages for the answers. Include a case where the product is unsuitable, so the test does not reward recommending it indiscriminately.

When the answer is wrong, inspect the source before writing another page. The fix may be a missing price unit, an ambiguous term, or outdated documentation. Use the retrieval document contract for technical publishing details and citations and evidence for source quality.

Primary sources

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