Cited

AI visibility intelligence, grounded in evidence

AI visibility is not a single score. It is a set of observable signals: whether a brand is mentioned for relevant questions, which sources are cited, whether the underlying entity is correctly understood and how that coverage changes over time.

Start with the question set

Define the market questions a buyer, researcher or partner would reasonably ask. Group them by intent, geography, audience and lifecycle stage. The goal is to assess useful coverage, not to manufacture generic mentions.

Inspect citations and entities

Record the sources that appear in answers, the claims they support and the entity attributes that recur. Stronger visibility work makes authoritative first-party material easier to discover, verify and cite.

Turn findings into accountable work

Prioritize missing documentation, inconsistent terminology and pages that do not explain a product clearly. Re-measure after substantive releases. Cited supports this workflow through API-first visibility, authority and entity intelligence.

Frequently asked questions

What is AI visibility intelligence?

It is the practice of measuring how AI answer engines discover, cite and summarize a brand, topic or entity.

What should teams measure?

Useful signals include brand mentions, cited sources, entity consistency, topic coverage and change over time.