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AI Search Index

AI Search Index

Track which AI bots crawl your website

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AI Search Index is the easiest way to see exactly which AI bots are reading your content, which pages they visit most, and how that traffic is growing over time. What you get: - Track 50+ AI crawlers by name (GPTBot, PerplexityBot, ClaudeBot, and more) - See which pages AI agents find most valuable - Understand the split between AI Search vs AI Training traffic - Chat with your data using our AI assistant All in one line of code.
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Launch tags:Analyticsā€¢Artificial Intelligenceā€¢Bots
Launch Team
Anima - Vibe Coding for Product Teams
Build websites and apps with AI that understands design.
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What do you think? ā€¦

Kimmo Ihanus
Superlines AI Search Analytics Platform
Maker
šŸ“Œ
Hey PH! šŸ‘‹ Kimmo here. Quick backstory: I've been working in AI search for a while, and one thing kept bugging me: it was way too hard to know if AI bots were actually visiting my sites. Most web analytics? Useless for this. Server logs? A nightmare to parse. I was deep in the AI world but couldn't answer a basic question: "Is ChatGPT reading my content?" So we built AI Search Index. How it works: - Lightweight pixel (1 line of JS, no cookies) - User-agent detection for 50+ AI crawlers - IP range verification against published AI company ranges - Real-time data via ClickHouse Nothing fancy. Just bot detection that actually works. After monitoring our own data it turns out GPTBot is everywhere, but I guess most site owners have no idea. Would love your feedback and what would make this more useful for you? ā€” Kimmo
Austin Heaton

@ihmissutiĀ congrats on the launch! Do you also provide content suggestions based on AI crawlers activity?

Kimmo Ihanus
Superlines AI Search Analytics Platform
Maker
@austin_heaton thanks! Not at the moment but that is one potential area to expand the product. For example schema optimization and technical improvements. So stay tuned :)
mostafa kh

interesting concept! one question though , most ai crawlers don't execute javascript, they just fetch raw html. how does a js-based pixel detect them? wouldn't server-side log analysis be more reliable for bot detection?