Agent Monitor captures and classifies AI & bot traffic using server-side data. Across 94M+ visits on 249 sites, 65% of traffic was bots - 24% AI bots like ChatGPT, Gemini, and Claude. None of this appears in GA4. We use transparent server-side signals to classify every visit. Get bot profiles, per-bot rankings, AI assistant traffic, and global benchmarks. Built by an SEO agency that needed real data.
Top comment
Hey PH, I'm Marcin, co-founder of Top Online - an SEO agency behind Agent Monitor. I also co-authored the most comprehensive SEO handbook in Poland, so I've been deep in search and analytics for a while. Agent Monitor started because our analytics stopped making sense. Clients' traffic was dropping in GA4, but rankings were fine and conversions held up. When we dug into server logs, we found the missing piece - AI bots were all over our clients sites, and no tool was showing it. We looked for something that would give us this data. Nothing worked well enough. Cloudflare keeps 7 days of data. GA4 filters bots entirely. GTM needs heavy custom setup. So we built our own solution. That was the internal version. We've since turned it into a product because every SEO and site owner we talked to had the same blind spot. One thing worth noting: we don't use AI in the product itself. Classification is based on transparent, deterministic logic - server-side signals, behavioral patterns, no black boxes. Free 2-week trial, no credit card. Curious what you think.
Comment highlights
65% bot traffic is a staggering number. I run a landing page for my macOS app and rely on GA4 for traffic insights — now I'm wondering how much of what I see is actually real.
Do you offer any kind of free tier or trial? Would love to see the breakdown for a smaller site before committing.
A very, very good tool that I’ve been using since the very first MVP version launched. Thanks to it, I can predict and adjust my strategy around how to work with and position my website in LLMs. I can see exactly which subpages are being picked up, what kind of traffic they generate, in which results they appear, and which articles are showing up.
The latest update with the addition of specific URL tracking was absolutely brilliant. Now I can track every single page and every content block I publish, and see after how many days (sometimes even hours) it gets indexed by the first AI systems.
A fantastic tool. Congratulations on the idea and on building it. 👏👏👏
We have had so many issues with bot issues, amazing to have a tool that can actually give me the exact number!
Congrats on the launch! The gap between GA4 data and what’s actually happening in server logs is something many teams probably don’t even realize exists. How do you distinguish between legitimate AI crawlers (for indexing or training) and more aggressive scraping or data harvesting bots, and how granular is the reporting when it comes to identifying patterns over time?
For a team already using Cloudflare/WAF rules and GA4, what’s the concrete workflow you recommend: where does Agent Monitor sit in the stack, and what decisions does it enable week-to-week (e.g., allowlist/rate-limit/block, content changes, infra planning)?
Thanks for having this in a free two-week trial, @marcin_kaminski. Congrats on the launch!
So this is a SEO tool for bot traffic? Very cool. ik GTM needs heavy setup, but does Agent Monitor's more lightweight solution trade-off well?
What I like most is the feature that lets you check specific URLs and see how often they’re visited by AI agents. Thanks to this, I can quickly verify whether, after publishing new content on our clients’ websites, those subpages are actually being visited by AI agents. This gives me a clear signal of whether we have a chance to appear in LLM-generated answers.
The option that shows the time of the first bot visit is also very valuable - it tells me how long it takes for bots to discover and reach a new URL.
@marcin_kaminski Looks good! This hits close to home as a marketer! 🙂 We’ve also seen situations where GA4 numbers didn’t fully explain what was happening. Especially lately with AI bots, scrapers, and assistant traffic quietly distorting the picture... The "rankings are fine but traffic looks weird" scenario feels very real. 😁 I like that you’re approaching this from server-side signals instead of adding another black box layer. Do you see issues with AI agents that are instructed to mimic organic browsing behavior? Like those used for competitive research?