GeoCheckTool helps teams diagnose how named AI and search surfaces represent a brand. It records repeated observations, mentions, citations, sources, evidence gaps, and unavailable surfaces, then supports evidence-linked repair and comparable retesting.

I built GeoCheckTool because a single screenshot or universal visibility score hides the questions that matter: which surface was observed, what question was asked, whether the brand was mentioned, which pages were cited, and whether a missing answer was actually a provider or surface failure. GeoCheckTool starts with confirmed business facts and buyer questions. The free Quick Diagnosis repeats a small frozen sample and preserves the observed answers and sources. Formal Diagnosis expands the frozen scope; later retests are compared with the baseline rather than presented as guaranteed improvement. The product deliberately separates model/API observations, search-result surfaces, and consumer applications. It also separates publication, crawling, indexing, ranking, mention, citation, recommendation, and conversion. None of those outcomes is guaranteed. I would value direct feedback on the evidence model, the report, and the places where the product should make uncertainty clearer. Public methodology: https://geochecktool.com/methodo...

Ran a quick test on our brand and was surprised how clearly it flagged gaps in citations we hadn't noticed before. The evidence-linked repair suggestions feel practical rather than generic, which is rare in this space.

The evidence-linked repair approach is refreshing, most tools just hand you a score and leave it there. I tried it on a small brand and seeing the gap between cited sources and actual mentions made the next steps obvious.

GeoCheckTool

Diagnose how AI search sees and cites your brand

Diagnose how AI search sees and cites your brand