AI Overviews
Whether Google displayed an AI Overview for a tracked query. This does not establish that your organisation appeared in it.
AI visibility and commercial evidence
AI visibility is growing. Is the business gaining anything?
Visibility tools can show AI Overviews, mentions, citations and sampled prompts. They cannot establish whether those observations changed customer behaviour, qualified demand, revenue or margin.
Visibility is an observation. Commercial effect is a separate question.
What AI visibility measures can establish
The first task is to define the observation precisely. Different tools measure different surfaces, samples and time periods. Their numbers are not interchangeable.
Mentions and citations
Whether a brand or source appeared in a defined sample. The result is bounded by the provider, prompts, markets and collection method.
Referrals
Whether an identified AI source sent visits to your site. Referral data still needs to be reconciled with landing behaviour and commercial outcomes.
AI visibility value worksheet
Use this worksheet to separate a visibility observation from evidence of commercial effect. Your answers remain in this browser tab, are not submitted and are cleared when the page reloads.
Do not enter financial, personal or client-identifying data. Use ranges or internal references where needed.
Current evidence state
Current evidence insufficient for a decision
This is an evidence classification, not a score, ROI estimate, diagnosis or recommendation.
Why this state appears
The observation or decision boundary is incomplete, or the selected action is that no decision can yet be made.
Reloading the page clears every answer.
A worked evidence example
SE Ranking identified 634 keywords in one professional-services website's tracked ranking set whose Google results contained AI Overviews. This does not mean the organisation appeared in 634 AI Overviews.
Separately, SISTRIX found the domain cited 353 times across 205 sampled AI prompts spanning Google AI Overviews, AI Mode, ChatGPT, Copilot and Perplexity. These observations establish measurable presence within those samples. They do not establish visits, qualified enquiries, revenue or causation.
The downstream commercial effect remained unproven because first-party referral, enquiry, opportunity and revenue evidence had not yet been reconciled with the visibility data.
What may need improvement
These are investigation hypotheses, not automatic recommendations:
- metric definitions and sampling
- AI referrals and landing behaviour
- informational versus buyer-intent visibility
- source-page relevance, evidence and entity consistency
- proposition and conversion after citation or referral
- CRM, enquiry, opportunity and revenue reconciliation
- commercial ownership and the review decision
The bottom line
Do not treat visibility as commercial value, or dismiss it because value has not yet been proved. Define the observation, reconcile first-party evidence, name the decision and record what remains unknown.
Does this question belong inside a Marketing MRI?
Send the decision boundary, not sensitive data. We will tell you whether it is suitable for a bounded examination or sits outside our scope. You do not need to book a sales call to ask.