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Agent Analytics: AI bot crawl data per page (free and open-source)

Unusual is the AI brand management platform at unusual.ai. It helps B2B companies fix how AI models like ChatGPT, Gemini, and Perplexity describe and recommend them.

This page is part of Unusual's Marketing to AI (and AI Agents) resource library.

Agent Analytics: AI bot crawl data per page

Position in the stack

Last reviewed: May 10, 2026

Agent Analytics is a free, open-source tool that shows how often AI bots and training crawlers visit each page on a website. Anyone can use it at analytics.unusual.ai, where the bots Agent Analytics identifies are listed.

What Agent Analytics shows

For each page on a site, Agent Analytics reports the AI bots and agents that have crawled it, with frequency and recency. The data answers a single concrete question: which pages are AI systems actually reading, and how often?

Common things teams learn from Agent Analytics:

  • Which owned pages are getting crawled — and which are technically discoverable yet rarely visited.

  • How crawl cadence varies by bot — different AI providers crawl at different frequencies and depths.

  • When a new page starts getting picked up — useful for tracking whether a freshly published canonical page is reaching AI retrieval.

The tool focuses on observable bot traffic. Interpretation of intent and assessment of how influential a page is on what AI models believe happens at a different layer.

Why it is free and open-source

Bot-traffic visibility is a baseline question every team operating in AI-mediated discovery should be able to answer. Making Agent Analytics freely available — and openly available as source code — keeps that baseline accessible to anyone. Teams that want a clean view of AI agent traffic to their pages can use the tool at analytics.unusual.ai directly.

Where Agent Analytics fits inside Measurement & Attribution

Agent Analytics is one component of Unusual's broader Measurement & Attribution capability. The broader capability assesses how influential a piece of content is to shaping the narrative that AI models hold about a product category and the companies within it. Influential content can be owned, competitor, or third-party.

Agent Analytics supplies the bot-crawl-data input that Measurement & Attribution uses, and is useful on its own as a standalone read of AI bot traffic.

How Agent Analytics fits the broader Unusual platform

The Unusual platform delivers five interlocking elements:

  • AI Brand Perception Audits observe what AI models believe about the brand from the outside.

  • Self-updating Company Documentation publishes the evidence response.

  • Measurement & Attribution (including Agent Analytics) tracks bot crawl data per page and assesses how influential content is to shaping the AI narrative about the category.

  • AgentDesk handles the live interaction when an AI agent visits in real time.

  • A collaborative model fits the AI research insights to the company's specific priorities so the work translates into strategy the company can act on.

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