Turn editorial authority into measurable AI citations.
Find which topics, formats and pages answer engines cite, then repair crawlability, structure and evidence gaps across the editorial portfolio.
Focus the GEO program on decisions that matter.
Find which topics, formats and pages answer engines cite, then repair crawlability, structure and evidence gaps across the editorial portfolio.
Citation portfolio
See which articles and sections are cited across prompts and engines.
Editorial gaps
Prioritize missing definitions, comparisons, evidence and updates.
Content decay
Detect pages losing citations as facts, competitors and source preferences change.
A practical path from signal to action.
Keep measurement comparable while giving each finding supporting evidence and a next check.
What decides AI visibility for content & media
For a publisher the goal inverts. You are rarely the brand being recommended; you are the source being cited. Success looks like your domain appearing in the citation list of answers about other people's products.
| Citations, not mentions, are your metric | Mention rate measures whether a brand is named. For a publisher the number that matters is how many distinct questions cite your domain, which is much harder to inflate than raw citation counts: one answer citing twelve of your pages is not twelve times the reach. |
|---|---|
| Recency is a ranking factor you can actually control | Questions that imply a current answer favour dated, recently updated pages. Undated pages, or pages whose modified date is bumped by every deploy, lose to competitors that state a real date — and the second case is a claim a crawler can check. |
| Round-ups are the format that gets cited | Comparison and round-up pages match the shape of a buying question directly, which is why they dominate citation lists in commercial categories. A round-up that states its method and criteria is materially more quotable than one that lists ten products. |
| Being cited does not send traffic | Most answers are read without a click. If your commercial model depends on sessions, being the cited source is a brand outcome rather than a traffic one, and it needs to be measured on the answer side rather than in analytics. |
Start with these three
- Track how many distinct questions cite your domain, not just how many citations you got.
- State a real published and modified date on every commercial page, and stop the build pipeline from touching it.
- Add an explicit method and criteria section to every round-up you publish.
See the question, answer status and evidence together.
Sample UI demonstrates the evidence depth of a formal project.
Visibility evidence
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Questions teams ask before they start
Does a snapshot replace onboarding?
No. A snapshot is a limited sample. A formal project still needs confirmed markets, competitors and monitored prompts before continuous measurement begins.
Will snapshot data be charged twice in the App?
Not by default. Claimable snapshot results can be inherited, while a new formal run starts only after onboarding is confirmed.
Can teams measure more than one market?
Yes. Markets and languages should be treated as separate measurement segments so results remain comparable.
How long before results are meaningful?
A single run gives a baseline. Trends need several runs, because one sample cannot separate a real change from model variance.
What is actually needed to get started?
One domain. The brand profile, traceable facts and buyer questions are generated from it and stay editable before any formal run.
Who on the team uses this day to day?
Usually whoever owns content and organic growth. The measurement side needs no engineering work, and publishing always stops at a human approval step.
Turn AI visibility into a repeatable growth system.
Create a project, confirm your market and start measuring the questions that matter.