Confirmed inputs
You confirm the business facts and buyer questions before any Quick run.
Free AI brand visibility check
Check your brand's AI search visibility with repeated answers, not one opaque score.
AI search visibility is the observed presence, absence, citation, and factual treatment of a brand across explicit AI-answer surfaces and buyer questions. GeoCheckTool starts with confirmed business facts, repeats a frozen sample, preserves each answer and source, and separates missing coverage from provider failure or a surface that did not appear.
One free Quick Diagnosis per account
Run one free evidence-led AI brand visibility diagnosis
Enter the business, service area, and optional website. The official workflow then lets you confirm Business Facts and the complete buyer-question bank before the one free Quick Diagnosis runs.
The intake opens the official GeoCheckTool workflow. You confirm Business Facts and buyer questions before any Quick run. No credit card is required for the one free Quick Diagnosis.
What the free Quick Diagnosis preserves
Repeated observations
Quick uses n=3 samples for up to 4 selected questions and each available surface.
Answer and source evidence
Produced answers, mentions, cited URLs, and exact support states remain separate.
Honest missing states
No-surface, unavailable, not-run, and provider-failed outcomes are not converted into zero.
What an evidence-led visibility check measures
GeoCheckTool keeps these fields separate because a mention is not automatically a citation, a citation is not proof of factual support, and an answer from one route is not a universal engine result.
Literal mention
Did the observed answer name the business beyond merely repeating the prompt?
Citation
Did the answer expose a source URL, and what claim could that source actually support?
Factual support
Did the answer agree with customer-confirmed business facts, conflict with them, or remain unverifiable?
Stance
Was the observed treatment positive, negative, mixed, neutral, or unclear?
Question coverage
Which confirmed buyer questions were measured now, and which remain visible for later scope?
Outcome state
Was the slot answered, no-surface, not run, timed out, rate-limited, invalid, or provider-failed?
A complete AI search audit goes beyond a URL scan
1. Confirm the business and questions
Start with the business, service area, optional website, confirmed facts, and a complete buyer-question bank. A URL-only crawl cannot establish what buyers ask or whether an answer is factually correct.
2. Name the observed surface
Keep the provider, route, intermediary, model or search-result surface, access mode, locale, and time visible. An API observation is not silently renamed as a signed-in consumer application.
3. Repeat the frozen sample
Quick selects up to 4 intent-stratified questions and uses n=3 repeated samples per selected question and available surface. Repetition exposes variation; it does not manufacture a stable rank.
4. Preserve answer evidence
Keep raw answers, citations, exact answer spans, failures, sample lineage, and review states so a finding can be audited instead of inferred from one opaque score.
5. Choose the smallest truthful action
Improve an existing answer, create one distinct evidence unit, prepare a legitimate source task, or keep observing. More pages are not the default remedy.
6. Verify and retest separately
Publication, crawl, indexation, answer appearance, mention, citation, recommendation, Quick start, diagnosis, and conversion remain separate lifecycle states.
Current Quick routes and fidelity
Perplexity Sonar through OpenRouter
A required RAG/API observation with citations. It is not the Perplexity consumer application.
Google AI Overview observed through SerpApi
A search-result surface observation. It is not a Google API and does not represent every signed-in Google experience.
Quick selects up to 4 intent-stratified confirmed questions and uses n=3 repeated samples per selected question and available surface. A missing optional surface remains unavailable or not run; it is not silently scored as zero.
AI search visibility FAQ
What is AI search visibility?
AI search visibility is the observed presence, absence, citation, and factual treatment of a brand across explicit AI-answer surfaces and buyer questions. It is not one stable rank shared by every model or interface.
Is an AI search audit just a website scan?
No. Technical crawl and index eligibility matter, but a useful audit also needs confirmed business facts, real buyer questions, named answer surfaces, repeated observations, source evidence, coverage gaps, and uncertainty.
Does GeoCheckTool produce one AI visibility score or competitor share of voice?
No. The current product reports separate answer distributions, evidence, coverage, and outcome states. It does not advertise one universal visibility score or a supported competitor share-of-voice metric.
Which surfaces does the free Quick Diagnosis observe?
Quick uses Perplexity Sonar through OpenRouter as a RAG/API observation with citations and Google AI Overview observed through SerpApi as a search-result surface. Neither route is presented as the corresponding signed-in consumer application or as a Google API.