Measure
Capture how the brand appears across AI answers, competitors, providers, markets, languages, and buyer personas.
AI visibility analytics
Measure how a brand is represented across AI answers, competitors, providers, markets, languages, and personas, then turn the movement into client-ready reporting.
Client dashboard
Provider movement
Packaged for client-ready reporting with the context behind each change.
Competitor pressure
Packaged for client-ready reporting with the context behind each change.
Citation coverage
Packaged for client-ready reporting with the context behind each change.
Market segments
Packaged for client-ready reporting with the context behind each change.
KPI layer
VectorGap groups AI-answer signals into reporting categories your team can defend in a client meeting: visibility, competitor share, provider differences, citations, accuracy issues, and segment-level movement.
Show whether the client appears more or less often than competitors in AI answer sets and recommendation moments.
Separate provider-level movement so agencies can explain when ChatGPT, Claude, Gemini, Perplexity, or Grok tell different stories.
Track which brands are recommended, cited, or framed ahead of the client in commercially important prompts.
Connect visibility movement to the sources AI systems can quote, summarize, and reuse in answers.
Count factual-risk categories and misrepresentation patterns without forcing teams to read every answer manually.
Compare how the same brand performs for local buyers, executives, account teams, analysts, and different prompting languages.
Analytics workflow
Analytics only matter when they help an agency decide what to fix next and prove that the work changed how AI systems represent the client.
Capture how the brand appears across AI answers, competitors, providers, markets, languages, and buyer personas.
Show where the client wins, loses, disappears, or gets outframed against the competitor set.
Connect weak movement to source coverage, extractability, entity clarity, citation gaps, and answer-quality issues.
Turn the findings into visuals and client-ready explanations that support retention, renewals, and strategic budget.
Use recurring snapshots to prove before/after movement after technical, content, entity, and source fixes.
Reporting value
VectorGap keeps the scoring method guarded and surfaces the business impact: what changed, where it changed, which competitors benefited, and what the agency should do next.
Explain why an AI visibility score changed without dumping raw prompt logs on the client.
Show which providers or markets are improving and which still need targeted work.
Turn competitor pressure into a clear next action instead of a vague dashboard concern.
Give account teams reusable proof for retainers, quarterly reviews, and renewal conversations.
Guarded methodology
The dashboard explains movement by provider, market, language, persona, competitor set, citation coverage, and issue category. It does not publish internal formulas, exact weights, grade thresholds, prompt-bank logic, or proprietary retrieval heuristics.