AI visibility guide
Check Which Sources Appear in AI Answers
Review cited pages across a defined set of questions, measure source concentration carefully, and use the findings to choose useful content work.
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When the same publications appear repeatedly in the answers you check, investigate what those pages contribute. A useful source review can reveal missing evidence or unanswered questions. It cannot establish that all search is concentrating into a fixed number of winning sites.
This guide is for reviewing the sources themselves. For definitions of mentions, citations, and visits, start with measuring AI citations.
Define the set you will inspect
Choose a group of questions about one business decision, such as selecting a service, comparing requirements, or solving a recurring problem. Write down why each belongs in the group.
Record the assistant or search feature, date, question, relevant location, and available mode. Save the complete answer and source links. Repeat on separate occasions using the same question set.
Do not mix an answer to a broad category question with a narrow support question and assume they should cite the same kinds of pages. Group related tasks before drawing conclusions.
Count what the interface shows
Decide in advance whether you are counting links cited in the answer, a separate source list, or both. Preserve those categories in your notes. A link visible in a source panel may have a different role from a citation attached to a particular claim.
Count both unique pages and unique domains. Five links to different pages on one site represent five pages but one domain. That distinction matters when describing concentration.
Google documents that AI Overviews and AI Mode may use related searches across subtopics and sources. It also says their responses and links vary. There is no fixed source count in that explanation. Google’s AI features guidance, checked September 13, 2026.
Your report should therefore describe the observed set, not assume a standard answer has three sources or that a source appearing today owns the question.
Read why each page is relevant
Open the cited pages. Note the material that appears to support the answer:
- An original measurement or documented test.
- A clear definition or explanation.
- A comparison with stated selection criteria.
- Current product specifications or requirements.
- A firsthand account with limits the reader can assess.
These are review categories, not a list of proven ranking weights. Use them to understand the information available to someone answering the question.
Follow a citation attached to a specific claim. Does the page support that claim, or only discuss the same topic? An unsupported citation belongs in the findings as an accuracy issue, even if it points to a familiar publisher.
Describe concentration with a denominator
Suppose, in an illustrative exercise, you collect 40 citation links from 10 completed responses, and one domain receives 12 of those links. You can report that it accounts for 30 percent of the collected citations.
You cannot infer that it receives 30 percent of all AI exposure or demand. The questions, completed responses, and counting method define the result. Include failed runs and answers without citations as separate totals.
If you compare two review periods, keep the question set and counting rule stable. Adding a new topic can change the mix more than anything a publisher changed. Report a changed method as a changed method.
Find an information gap worth filling
Look for something your intended reader needs that the current sources do not answer adequately. That might be an installation constraint, a test on a specific configuration, or a comparison whose assumptions are missing.
Build a content brief around the gap. State the question, the evidence you can provide, what must be tested, and the existing page that should own the answer. If another page already does the job well, linking to it may serve readers better than publishing a weaker copy.
Avoid reverse engineering prose from a small group of cited pages. Their word count, heading format, or placement of a phrase does not prove why they appeared.
Recheck the work after publication
Save the published page and any test evidence. Later, repeat the same source review and record whether it appeared, how it was described, and whether the cited passage supported the answer.
Absence is a finding to investigate, not proof that the page failed every reader. Look at search visits and the business task it serves as well.
A useful conclusion is specific: “These questions lack a documented explanation of this requirement, and we can supply one.” That gives you a reason to publish which survives even if the next answer cites a different set of pages.
