What a CiteRank AI search report actually gives you.
This sample shows the shape of the $99 first-month baseline: buyer-question evidence, competitor mentions, real citation data, answer-source gaps, cited sources, and prioritized next steps. It uses Image3D as an in-progress case, not as a completed success story.
Send one real AI search question first, then decide whether the $99 baseline is worth it.
Many teams do not need a vague GEO pitch. They need one buyer question checked. Send your website, the question, and the competitors you keep seeing, and we can judge whether the CiteRank baseline fits.
No full brief required.
Scope from a real domain.
Buy, wait, or fix first.
The $99 baseline ships as four concrete artifacts.
This sample is not here to show more charts. It shows what the buyer receives after payment: questions, answers, sources, and a next-step queue that can be executed.
20-30 buyer-intent prompts grouped by category discovery, alternatives, use case, and purchase objection.
For each prompt, the baseline records whether your brand appears, which competitors appear, and which AI surface produced the answer.
Owned pages, directories, reviews, docs, and third-party pages are separated into visible sources and missing-source opportunities.
The report ends with 5-10 owned-page, source, comparison, and recheck actions ranked by impact and effort.
One case can have two truths.
Image3D did not appear in the controlled broad buyer-question test.
Microsoft Clarity showed Image3D pages cited by AI systems in the latest 7-day evidence window.
Image3D owned a meaningful share of visible Copilot-partner citations for the observed queries.
The citation layer exists, but click-through and conversion still need work.
The report is structured so execution can start immediately.
What Image3D does, who it serves, supported formats, pricing hooks, proof, and competitors.
20 broad buyer questions plus Clarity grounding queries and real user questions when available.
Pages and third-party sources AI systems cite, with relevance, neutrality, contact path, and risk.
Owned-page fixes, FAQ additions, source submissions, outreach drafts, and weekly checkpoints.
Controlled AI visibility test
Which pages AI systems already cite
How the report turns into work
A visibility report should say whether its scans are fresh.
CiteRank does not treat a monitoring screen as proof by itself. The report includes a monitoring status block that shows when the latest scan ran, which platforms succeeded, which providers failed, and what needs to happen before the next recheck can be trusted.
Shows whether the evidence is current enough to trust.
Separates usable platforms from failed providers instead of hiding errors.
Makes API-key, cron, or provider problems visible before the report is interpreted.
Keeps the question set stable so progress can be measured after execution.
The report is only useful if it can be checked again.
Every paid baseline includes recommended 7/14/30 day recheck dates. The buyer-question set stays stable so the customer can see whether the execution changed the answer surface.
Re-run the same question set, compare competitor mentions, and update the next steps.
Re-run the same question set, compare competitor mentions, and update the next steps.
Re-run the same question set, compare competitor mentions, and update the next steps.
What this sample does not claim
This sample does not claim that CiteRank controls AI recommendations. It shows how a customer receives practical evidence, competitor context, real citation data, and next steps that can be checked again. That is the first paid product customers can buy today.
Before paying, the buyer should be able to say yes to these.
If the buyer cannot answer these yet, the right next step is buyer-question capture before checkout.