VectorGap turns AI Preference, ultra-targeted LLM Perception, target-aware Share of Voice, Web Perception, GEO Performance, and Brand Hub actions into one agency loop: understand the answer gap, trace the evidence, fix the public truth layer, and re-run with client-ready proof.
Brand Perception Index
67
Three-part audit loop
The public promise is simple: show agencies which brand AI prefers, how each LLM frames the client, what share of answer presence the client owns, which public evidence supports the result, and which Brand Hub action to ship next.
See which brand AI prefers, how each provider describes the client, and why the answer changes by target market, language, persona, and competitor set.
Track how much answer presence the client owns against competitors for the selected audit target, instead of blending every market into one global average.
Turn knowledge-graph findings into practical actions for public facts, source gaps, entity confusion, proof weakness, and content opportunities.
Run audit
Read the signal map
Open the exact prompts and evidence
Ship fixes
Re-run and prove movement
Product preview
The protected app uses quiet hierarchy: hero actions, BPI detail, trend-first context, collapsible audit history, prompt links, and GEO radar/score history only where they help teams act.
Every premium audit pattern is designed to be forwarded, debugged, and repeated: targeted audit context, direct prompt/evidence links, trend history, Brand Hub actions, and client-ready reporting without unsupported performance claims.
