Knowledge Base
A practical help center covering the product, AI visibility concepts, tools, credits, reports, methodology, privacy, and troubleshooting. Use it before your first scan, after reading a report, or when you need to understand what a score or signal means.
AI Search Concepts
AI answers change because the model, retrieval layer, source evidence, competitor landscape, and prompt wording can all change. Treat a report as a baseline, not a permanent ranking.
Traditional rank tracking often suggests a stable position for a keyword. AI answers behave differently. The same business can appear in one source, disappear in another, or be cited differently after pages, models, or retrieval results change.
This does not make the report useless. It means the report should be read as evidence from a point in time.
Movement can come from model updates, live search retrieval, page changes, new competitor content, stronger directory evidence, changed opening hours, updated menus, new reviews, or a different phrasing of the user question.
For local businesses, small evidence gaps can matter. A missing contact page, unclear outlet page, thin FAQ, or vague service page may be enough for AI to prefer a better-documented competitor.
Rerun after meaningful changes: new service pages, clearer pricing, improved FAQs, fixed contact information, stronger proof, or updated location pages. Do not rerun repeatedly without changing the evidence.
Monitoring is useful when the business needs ongoing visibility. It turns isolated observations into trend signals.