GeoCheckTool

Somewhere between your published website and the AI answer a buyer reads, facts get lost, competitors get credited, and booking steps disappear. GeoCheckTool diagnoses that gap. You enter your business name, city or service area, and an optional website URL; the tool runs a guided diagnosis against real buyer questions, surfaces AI answers that contradict or omit your confirmed facts, and produces specific website and source actions tied to accepted findings. Nothing advances to a repair task unless you accept the finding first — the page explicitly holds every action in a review state before anything is marked ready to publish.

The differentiating mechanic is evidence provenance. Business facts — pricing, services, identity, location, credentials — are confirmed before the diagnosis runs, so every finding is measured against customer-confirmed truth rather than inferred from a crawl. When an AI answer routes an urgent buyer to a competitor because your service area page is missing a booking path, the accepted finding generates a specific fix: a new service-area page with an opening summary, not a generic SEO recommendation.

The tool fits a single brand or local business that wants to understand one AI visibility gap and act on it with traceable fixes. The verification step closes the loop by checking a frozen content anchor against the live URL after a change is published — the vendor states explicitly this verifies the publish happened, not an AI ranking outcome, which is an honest architectural boundary. Where it breaks: there is no API, no batch mode, and no self-hosted option. Agencies managing multiple client brands, or teams running continuous monitoring across a location portfolio, will exhaust the per-account diagnosis model and need to evaluate whether manual re-runs or a different architecture fits their workflow.