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AgentRank is built around a small set of ideas. Understanding them makes every metric and recommendation on your dashboard immediately interpretable.

Visibility & Rank

The three numbers that define your position in AI shopping results.

Prompts

The actual buyer queries AgentRank tracks on your behalf.

Topics

The product categories that organize your tracking coverage.

Shopping Modes

How AI assistants respond differently to different types of buyer intent.

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The core tracking loop

AgentRank works by continuously simulating the queries real shoppers type into AI assistants, then measuring where your brand lands in the results: 
Your product topics
      ↓
Tracking prompts (real buyer queries)
      ↓
AI simulation runs
      ↓
Visibility, Share of Voice, Rank
      ↓
Competitive gap analysis
      ↓
Actionable fix recommendations
Each layer builds on the one before it. Topics define the search space. Prompts are the specific queries within that space. Simulations produce rankings. Rankings reveal gaps. Gaps become actions.
You don’t need to understand every detail before getting started. Run through onboarding and your dashboard will populate with real data — the concepts will click as you explore your results.