KNOWLEDGE LIBRARY
AI Search: Mentions, Citations and Referrals
A screenshot of an AI answer can be useful evidence. It becomes much less useful when its caption claims more than the screenshot shows. “Our page was linked in this answer” and “AI recommends our company to everyone” are not two ways of saying the same thing.
This guide sets out SEOTEC’s practical approach to observing AI Search. It is a method for making a defined sample interpretable, not an attempt to measure every possible answer on every platform.
Quick answers about AI visibility evidence
Does an AI citation mean someone visited the website?
No. A citation shows that a source was linked in an observed answer. A visit requires separate referral evidence, and a business outcome needs evidence of a further action. Do not turn a citation count into a visitor or customer count.
Does one favorable AI answer prove consistent visibility?
No. It records one answer under particular conditions. Preserve the platform, mode, date, question and relevant location or account context, then repeat a defined sample. Do not treat one result as the answer every prospective customer will receive.
Can two AI visibility percentages be compared directly?
Only when the underlying question sets, platforms, periods and counting rules are comparable. Keep the counts behind the percentages and record changed conditions. A higher percentage from a different sample does not by itself demonstrate an improvement.
Define the event before counting it
A brand mention means the name appears. A citation means a source is linked. A recommendation means the answer presents a company or product as an option for the stated need. A referral means an observable visit came through. A business outcome requires evidence of the resulting action.
One answer can contain several of those events, but none should be assumed from another. A page may be cited to explain a category without its owner being recommended as a supplier. A business may be named without a link. A link can appear without anybody clicking it.
Use those categories as separate columns in the record. It is more informative than combining them into one unqualified “AI win.”
Start with a question set that represents real decisions
Choose a small initial set of relevant questions. Include business identification, service or product selection and the comparisons that matter to the intended customer. A useful starting question is one that could change a decision, not simply a prompt designed to elicit the brand’s name.
Keep branded questions and unbranded category questions separate. “What does this company offer?” tests a different thing from “Which type of service fits this situation?” Both can matter, but combining them into a single visibility percentage can hide the difference.
Record the wording exactly. Small changes may be worth testing later; they should not be introduced silently during a comparison.
Preserve the conditions of the observation
For each run, keep the platform, interface or mode, date, question, relevant location or account context, answer and linked sources. Record unavailable conditions as unknown rather than pretending they were controlled.
Google distinguishes AI Overviews from AI Mode and notes that their responses and links can differ. They should therefore be labeled separately in a research log. Google’s AI features guidance
The IRFĒ archive illustrates why this matters. A report describes a screenshot as AI Overview, while the captured interface visibly says AI Mode. Our case preserves the evidence and labels the surface shown, with the discrepancy disclosed in the caption.
Repeat the observation without pretending it is a census
Repeated checks help distinguish one appearance from a pattern within the questions being tested. Use the same questions and document changes in the checking conditions.
A rate such as “the brand appeared in 12 of 20 observed answers” describes that sample. It does not establish the brand’s share of all AI searches, and it should not be compared with another program using a different question set as though the denominators were identical.
Our reporting recommendation is to preserve the counts behind any percentage. Keep meaningful answer changes, new citations, removed sources and incorrect statements available for inspection rather than reporting only a summary score.
Keep answer observations separate from referral analysis
Analytics can show observable visits from AI platforms when the available attribution identifies them. OpenAI’s publisher guidance describes ChatGPT referral tracking, including a source parameter in outbound referral URLs. OpenAI publisher guidance
Check what your own report measures before quoting a change. Users, sessions and events are not interchangeable. A screenshot with its column headers missing should not become a precise claim about sessions merely because that interpretation sounds plausible.
Likewise, a referral increase does not by itself show which answer caused it. Preserve that uncertainty rather than connecting an attractive screenshot to an unrelated traffic chart.
Check access without confusing it with training permission
A useful technical review distinguishes search discovery from model training. OpenAI documents separate robots.txt controls for OAI-SearchBot and GPTBot. An owner can make different decisions about those uses. OpenAI crawler documentation
Google says a supporting page in its AI features must be indexed and eligible for a search snippet, with no extra technical requirement unique to those features. It does not require a special AI schema or AI text file. Google’s AI requirements
For a live business site, the task is to inspect the actual controls and visible content. For a public noindex preview, the task is different: preserve the noindex setting until publication is approved. A diagnostic is not permission to change either site’s access policy.
Turn the finding into a specific task
An inaccurate company description may require clearer business information. A missing explanation may belong on an existing service page. A useful source that cannot be reached may need technical attention. A subject with a genuinely separate reader task may justify a guide.
The task should name the page, proposed change, evidence and intended check. “Optimise for AI” is not an implementation instruction.
The guide to service pages and supporting content explains how to choose a home for new information without multiplying pages around every variation of a question.
What a useful report should contain
Keep the questions and conditions available, identify the answer surfaces, distinguish mentions from citations and preserve the original evidence. Report referral activity separately, with the metric labels and dates intact. Connect observed business actions only where the available tracking supports that connection.
The result is a program that can be discussed and improved. You can see what was checked, what changed and why the next task is worth doing.
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