Skip to main content

Documentation Index

Fetch the complete documentation index at: https://ardocs.autonome.in/llms.txt

Use this file to discover all available pages before exploring further.

AgentRank is built around a small set of ideas. Once these are clear, the Overview, Analysis, and Actions pages become much easier to read.

Metrics

How Visibility, Share of Voice, Rank, and Sentiment fit together.

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.

​
The core loop

AgentRank works by continuously running real buyer queries through tracked AI shopping results, then turning the responses into measurements and recommendations: 
Your product topics
      ↓
Tracking prompts (real buyer queries)
      ↓
Tracked AI responses
      ↓
Overview metrics + cited sources
      ↓
Analysis scores
      ↓
Prioritized actions
Each layer builds on the previous one. Topics define the space you care about. Prompts make that space measurable. Responses create metrics and source evidence. Analysis explains the gaps. Actions tell you what to do next.