How to Review Pages Cited by ChatGPT: A Source-Audit Checklist

Correction — 31 October 2026: the earlier version included unsupported research or outcome claims without supporting records. Those findings and dataset promises are withdrawn. This is practical guidance, not a verified original study or client result.

Define the question and save the answer

Start with a real customer question, not a prompt designed to make your brand appear. Record the wording, date, assistant, displayed model, language, search mode and conversation context. Save the answer and its linked URLs. An answer that names a brand without a link is a mention, not a linked citation.

Check the original source

Open the exact linked page. Record redirects, the final URL, its purpose and whether the answer represents it accurately. A cited page can be outdated or mistaken; being selected by an assistant is not independent validation of its contents.

Review relevance and evidence

Can a reader find a direct answer? Are important facts backed by appropriate sources? Is the author identified where expertise matters? Note specific strengths and gaps rather than assuming a word count, heading style or schema type caused selection.

Compare your own page fairly

Compare pages serving the same intent, language and audience. Check readable text, working links, appropriate authorship and accurate dates. Add missing explanations only when useful. Do not pad a page to match another page’s length or invent a statistic to make it look authoritative.

Use markup for its documented purpose

Choose structured data that accurately describes visible content. Google states that its AI features need no special schema or AI files. A valid FAQPage block is not a demonstrated citation multiplier, and Google requirements cannot be extrapolated to every assistant.

Keep an audit log and limits

Use columns for prompt, run conditions, cited URL, observed page qualities, evidence concerns and proposed improvement. Include answers with no citation. Repeated observations can describe your panel, but without a comparison design they cannot establish causal ranking factors or universal success rates.

Sources and further reading

Google guidance on AI features