How to publish company facts that buyers and AI can verify

What makes a company fact easy to verify?

A reader should be able to identify the product, understand the statement, see its conditions, and inspect the evidence without guessing. Put that information on the page someone would use to check it: pricing on the pricing page, integration requirements in the integration documentation, and deployment limits beside the deployment options.

This is the useful part of “agent-ready content.” It describes clear, supported information that people and software can read. A particular file format cannot make an unsupported statement true.

Which facts should you publish first?

Start with a fact your buyers need or a statement that keeps appearing incorrectly in captured answers. Ask the product owner to confirm its wording and limits before publishing it.

Buyer question	What the public page should establish
How much does the product cost?	Plan, currency, billing period, included usage, and material conditions
Does it integrate with our system?	Supported operation, limitations, prerequisites, and plan availability
Where can our data be hosted?	Available regions, deployment model, and applicable restrictions
What does the security documentation cover?	The named product or service, effective date, and approved scope
Who is this product for?	The use case it supports and important requirements outside its scope

If pricing requires a quote, explain the pricing model and how to get an applicable quote. Do not invent a universal price to fill a search result. Publish only information your company has approved for public use.

How much detail belongs in a product claim?

Enough to prevent a reasonable reader from applying it to the wrong situation. “Supports single sign-on” leaves questions about the protocol, plan, and configuration. A useful answer names the supported method and the conditions under which a customer can use it.

Keep qualifications next to the claim. A prominent promise on one page and a limitation buried elsewhere leave readers to reconcile two versions. Update both when the fact changes.

An illustrative wording pattern is: “[Product] supports [specific capability] on [applicable plans], subject to [material limit].” Replace every field with an approved fact. Omit the statement if the evidence is not ready.

Do you need a separate facts page?

A short company reference page can help readers find legal identity, product names, and links to authoritative documentation. It should point to the pages responsible for changing details rather than copying every price and feature into another maintenance task.

Give related pages clear internal links. An integration mentioned on a comparison page should link to its documentation. A disputed deployment statement should link to the deployment page that settles it.

The comparison-page guide shows how to carry that evidence into a buying decision.

What should your team keep behind each published fact?

Keep an internal record containing the exact approved statement, its scope, the supporting document, the responsible owner, and the effective date. Record the public URLs where the fact appears. When it changes, that list tells the owner which pages need review.

Preserve prior versions when the history matters. An old statement may have been accurate before a plan changed. A dated record helps distinguish an outdated description from one that was never supported.

KnitKnot’s Fact Ledger holds approved facts and their evidence for this work. The public page should expose the approved information, not private internal notes or documents.

Do Markdown, llms.txt, or schema guarantee an AI citation?

No. They serve different technical purposes and do not guarantee that a provider will select or cite the page. Google says its AI search features do not require special AI text files or special schema. Clear text and accessible links remain part of its ordinary search guidance. Google’s AI search documentation

If you provide several formats, keep their factual content aligned. A stale Markdown page can contradict a corrected HTML page. Use the schema guide to check the same issue in structured data.

How do you check whether the published fact helped?

Confirm that the page contains the approved wording and is accessible through the intended public URL. Then inspect later answers to the same relevant questions. Record the claim, its available citation, and whether the wording is supported by the current fact.

A corrected page and a corrected answer are separate observations. Keep the original answer and publication date so the review can show what changed without assuming the edit caused every later difference.

How does KnitKnot use these facts?

Claim intelligence compares disputed statements with facts the team has approved and preserves reliable connections to source evidence. The record helps a team decide whether to update its own page, request a publisher correction, or leave an unresolved claim open.

If you already have an incorrect answer to investigate, start with how to fix wrong company information in AI answers. Use the verified fact as the basis for the correction.