AI visibility analytics

AI visibility analytics agencies can explain to clients

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

KPIs that turn AI visibility into client action

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

What agencies can measure and report

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.

Share of voice

Show whether the client appears more or less often than competitors in AI answer sets and recommendation moments.

Share of model

Separate provider-level movement so agencies can explain when ChatGPT, Claude, Gemini, Perplexity, or Grok tell different stories.

Competitor position

Track which brands are recommended, cited, or framed ahead of the client in commercially important prompts.

Citation coverage

Connect visibility movement to the sources AI systems can quote, summarize, and reuse in answers.

Accuracy and hallucination issues

Count factual-risk categories and misrepresentation patterns without forcing teams to read every answer manually.

Market, language, and persona segments

Compare how the same brand performs for local buyers, executives, account teams, analysts, and different prompting languages.

Analytics workflow

From measurement to client proof

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.

1

Measure

Capture how the brand appears across AI answers, competitors, providers, markets, languages, and buyer personas.

2

Compare

Show where the client wins, loses, disappears, or gets outframed against the competitor set.

3

Diagnose

Connect weak movement to source coverage, extractability, entity clarity, citation gaps, and answer-quality issues.

4

Report

Turn the findings into visuals and client-ready explanations that support retention, renewals, and strategic budget.

5

Improve

Use recurring snapshots to prove before/after movement after technical, content, entity, and source fixes.

Reporting value

Give clients the story behind the movement

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

Clear KPIs without publishing the private scoring system

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.