AI citation observatory

GUIDE / PROTOCOL

AI citation observatory

Measure answers observed in a defined context without turning a screenshot into a visibility promise.

Direct answer

How can AI citations be measured credibly?

Use a stable question panel, date, identified interface, exact answer and links actually visible. Then compare accuracy, citations and change over time.

01 / Review method

Review method

01

Build the panel

Choose questions by intent: discovery, comparison, decision, verification and brand. Preserve exact wording.

02

Capture context

Record date, country, language, interface, relevant settings and whether an account was used.

03

Qualify the answer

Separate brand mention, cited link, source actually used, answer position and factual accuracy.

04

Compare series

Observe differences across engines and periods; inspect source pages, corrections and possible causes.

02 / Evidence to keep

Evidence to keep

Stable question

ID, exact wording, intent and check frequency.

Dated answer

Text, capture, interface, language and context.

Verified citation

Clickable URL, accessible page and actual support for the claim.

Recorded gap

Error, absence, entity confusion or uninterpretable variation.

03 / FAQ

Frequently asked questions

Does llms.txt guarantee citation?

No. It may offer a summary to some systems but guarantees neither retrieval nor citation.

Does a mention without a link count?

Yes as brand presence, but it must be separate from a verifiable citation.

Describe a context