Bot Insights provides comprehensive visibility into AI vendor crawling patterns across your digital properties, revealing access frequency and content consumption patterns. This intelligence allows you to understand whether AI bots are delivering meaningful value or merely extracting content, so that you can make informed decisions about access controls, permissions, or potential licensing negotiations.

Bot Insights integrates with five leading CDN platforms: Akamai, Fastly, Cloudflare, Tencent, and Amazon CloudFront, collectively representing 80% of global CDN traffic. Each platform comes with ready-to-use dashboards and normalized data formats that require no additional setup.

Bot Insights reveals the proportion of your total traffic originating from automated crawlers (such as AI bots), identifies which vendors are accessing your web properties, and shows search engine crawl recency. These insights are available across custom timeframes—spanning weeks, months, or years—enabling trend analysis and validation of bot policy adjustments.

Bot Insights is a turnkey solution that is operational within minutes.

• Examine bot traffic patterns long-term (beyond standard 30-day windows).
• Determine what portion of traffic originates from AI crawlers.
• Visualize bot categories and how bots are interacting with your site over time.
• Analyze AI bot visit frequency and interaction patterns.
• Understand how AI bots are interacting with cached content versus content fetched from origin.
• Confirm effectiveness of bot restrictions and website updates.

CDN Insights and Bot Insights are both turnkey solutions allowing you to visualize and analyze data from CDN logs.

• Bot Insights empowers executive stakeholders to analyze crawler traffic patterns across extended periods, particularly focusing on AI bot activity, enabling organizations to shape and refine their bot management approach.
• CDN Insights enables service teams to monitor critical CDN performance metrics, then diagnose and resolve content delivery challenges.

Bot management tools are designed for real-time detection and blocking. Bot Insights is an analytics layer for understanding what happened after the fact: what changed in your traffic, what drove it, and whether a policy change had the intended effect. They’re meant to work together, not replace each other.

• Bot Insights stores full, unsampled traffic history across months to years, where most tools cap at 30 days.
• It runs sub-second queries on high-cardinality dimensions like IP, user agent, and query string at billions-of-events scale, the kind of queries that time out in tools like Splunk.
• The workflows are designed around investigation: they’re structured to take you from “something looks off” to “here’s the specific cause and the evidence” without having to build that path yourself.

SEO teams often can’t distinguish between crawlers that help rankings (like Googlebot) and those that don’t (like AI scrapers). Bot Insights shows you crawlers broken down by vendor, such as OpenAI, Anthropic, and others, so you can make informed decisions about what to allow, block, or license. It also monitors bot health (for good bots) in real time, so you can catch issues before they affect search visibility.

Bot-related incidents tend to surface separately across security, ops, and SEO teams, often with different numbers and interpretations. Bot Insights provides shared dashboards so all teams are working from the same data. It also tracks policy outcomes over time (90+ days), which is useful when leadership asks whether bot management investments are actually working.

There are 5 different dashboards designed to help every team with a specific task or job to be done. The dashboards cover these specific tasks: 

• What Changed and Investigation (security team)
• Crawler Impact and Governance (SEO team)
• Origin Cost and Cache Efficiency (operations team)
• Where’s the Problem? (technical leaders)
• Overview and Alignment (executive team)

The Hydrolix bot-insights skill helps agents investigate automated traffic in Bot Insights data and produce evidence-backed findings for the teams that need them most: executive strategy and routing, SOC triage and security attribution, crawler governance and AI bot health, cache-busting and origin pressure analysis, control-change reviews, and deterministic entity scorecards.

Every output follows an evidence-first rule: automation identity must connect to operational impact, no single signal is sufficient for classification, and movement, attribution, confidence, and gaps in the evidence chain all stay visible throughout.