Siteline
Growth analytics for the agentic web
715 followers
Growth analytics for the agentic web
715 followers
Track how AI agents and bots interact with your website. Analyze traffic trends by platform, page, and topic. See how this traffic turns into human visits. Get your first insights in minutes - and go deeper once you have your aha moment about how it impacts your product growth.
ChatPal
Congrats! Looks powerful. Haven't seen any platform that covers this much breadth. Do you support Vercel? Do you have any sort of service offering to help companies increase their AI visibility?
Siteline
@daniele_packard Thanks! We have a zero-code integration with Vercel log drains that takes about 5 mins to set up: https://docs.siteline.ai/integrations/vercel
Lovon AI therapy
@Siteline great product, impressed. Do you provide any suggestions on how to reshape product to optimize AI bots scrapping?
Siteline
@ponikarovskii thanks Anton! Yes, once you get set up we have a whole section of 'Tech recommendations' that analyze your site and recommend changes. In general the biggest improvements we've found that impact digestibility are:
Ensuring all content is rendered server-side and doesn't require Javascript -- most AI bots don't run JS and instead just pull everything from the server in one go unlike a human (or even the Google bot)
Fast load-times for all pages (should be <300ms)
Nothing blocking bot access by mistake - this can be robots.txt but is often 3rd party services like Cloudflare, Captcha, etc
Don't require location to be set to show pricing or other features
Put key content / summaries towards the top of each page, bots will often read a bit of what they pull then leave if they don't find what they're looking for
Hope this helps! Have you tried anything so far that you've seen working?
Siteline
@helga_impalpable great questions! We have a few different options to implement including no-code (~5 min setup) with Vercel and Wordpress. We also have Cloudflare and AWS integrations. All are integrated server side (script-based tag solutions used by GA and others don't detect agent / bot traffic) and are out of the run path so there is no impact on performance. All our options are here: https://docs.siteline.ai/introduction#get-started-with-agent-analytics
Let us know if you have any if you have any questions or need help getting going!
@davidkaufmann that makes sense, thank you, David!
Congrats on the launch 🔥
Do you see this becoming a new standard layer of analytics, alongside GA, or something more niche for AI-heavy businesses?
Siteline
@honoramma I think no question (good) AI visitors will start to be an important segment to pay attention optimize for just like you currently think about a human conversion funnel on your website. We're still a bit away, but once agents start taking commercial actions with more frequency e.g. submit a lead form, sign up, make purchases etc I think these metrics will accelerate and become more mainstream
Is it expected to see confetti when clicking the logo?
Siteline
@agilek it is, you found an Easter egg!!
Running bill.dock.io, I spend a lot of time thinking about how AI agents are changing the discovery layer for SMBs — most of our inbound assumptions built around traditional search are quietly breaking down. Siteline seems to be tackling exactly the attribution and visibility problem that emerges when crawlers and agents, not humans, are the first touchpoint. Curious how you're handling the signal quality issue — when an AI agent "visits" a page, the behavioral data looks nothing like human sessions, so how are you distinguishing meaningful agentic engagement from noise?
@davidkaufmann Really interesting approach.
I have two questions.
Cross-platform differentiation
Is this level of differentiation currently possible across other AI platforms (e.g., ChatGPT, Google AI Overviews/Gemini, Anthropic, Perplexity) at the same level of granularity?
Using ChatGPT-User visits for content gap analysis
If you can identify pages that were visited by ChatGPT-User agents, can that signal be leveraged to detect content gaps?
For example:
If certain topics receive frequent user-initiated agent visits but are rarely cited or do not convert into human traffic, could that indicate incomplete coverage or suboptimal structure?
Conversely, if important topic clusters never receive agent visits, could that imply low AI relevance or discoverability?
Curious whether you see ChatGPT-User traffic as a reliable proxy for “what users are actually asking,” and how confidently that can inform data-driven content strategy.