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Agent Analytics

isyourwebsiteready.ai

Agent Analytics is an analytical platform designed to give website owners, developers, and digital marketers unprecedented visibility into how artificial intelligence agents interact with their online content. As search engines …

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May 20, 2026
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About Agent Analytics

TL;DR

Agent Analytics is an analytical platform designed to give website owners, developers, and digital marketers unprecedented visibility into how artificial intelligence agents interact with their online content. As search engines …

Agent Analytics is an analytical platform designed to give website owners, developers, and digital marketers unprecedented visibility into how artificial intelligence agents interact with their online content. As search engines evolve and AI-driven platforms like ChatGPT and Perplexity increasingly browse the web to answer user queries, understanding this new traffic source becomes crucial. This tool operates at the CDN level to monitor and log whenever an AI crawler accesses a website. By tracking these interactions, users can see exactly how AI models retrieve information, how much traffic they refer back to the site, and how these visits ultimately impact conversion rates. This granular level of insight helps businesses optimize their content for AI search optimization, ensuring that their brand is accurately represented and easily discoverable by automated agents. It bridges the gap between traditional web analytics and the emerging landscape of AI-driven search, providing actionable data to refine digital strategies.

Use Cases

Real-world scenarios where Agent Analytics saves time.

Use Case 1: Detecting AI Scraping Activity

Problem: Digital content publishers have no visibility into how many generative models are accessing and scraping their proprietary articles.
Solution: The CDN-level logs track, identify, and report which AI agents are accessing specific directories on your web server.
Example: A publisher reviews their traffic metrics to discover that a major AI crawler scanned their blog archives 30 times today.

Use Case 2: Auditing Conversational Referrals

Problem: E-commerce brands cannot trace why they are receiving untargeted traffic from search platforms like Perplexity or ChatGPT.
Solution: Server integration files record specific click-through citations and query referrals coming from conversational sites.
Example: A marketing director identifies that their pricing page was referenced in a competitor comparison search on Perplexity.

Key Features

What you get out of the box.

  • CDN-level automated AI agent detectors
  • Real-time agent visual behavior dashboards
  • Conversational referral citation tracking code
  • No-code server platform integration setups
  • Detailed crawl volume frequency analytics

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