LLM Traffic Analytics
The analytics layer built for the AI era. Finally know where your visitors are actually coming from.
How It Works
From first click to full visibility — in four steps.
Install in Under 10 Minutes
Add a 5-line JS snippet to your site — or connect your existing Google Analytics 4 account. No developer required for either option.
AI Traffic Is Identified
The system uses JS signals, user agent analysis, and referral pattern recognition to identify visits from ChatGPT, Gemini, Perplexity, Claude, and 15+ other AI platforms.
Dark Traffic Is Recovered
Visits that currently appear as 'Direct' or 'Organic' in GA4 but were AI-sourced are re-attributed to their correct LLM origin — finally making your GEO investments visible.
Track, Report & Optimise
See which AI platforms send the most converting traffic, which pages they land on, and where sessions drop. Let the data drive your next GEO optimisation priority.
The problem it solves
When someone reads a ChatGPT response that mentions your brand and visits your website, Google Analytics records it as "Direct" traffic. You have no idea ChatGPT sent them. You cannot measure your GEO investments' ROI because the traffic they generate is invisible to every existing analytics tool. LLM Traffic Analytics gives you the measurement foundation that every AI-era growth strategy requires. 15-30% of "direct" traffic on content-heavy websites is actually LLM-sourced dark traffic that existing analytics cannot see. You are already getting AI referrals — you just cannot measure them yet.
Integration Setup
Integration via 5-line JS snippet (under 10 minutes) or Google Analytics 4 connector (under 30 minutes) — no developer required for either
AI traffic attribution
Identify and separately track visitors from ChatGPT, Gemini, Perplexity, Claude, Copilot, Grok, and all major AI platforms
Dark traffic recovery
Identify LLM-sourced visits that currently appear as "direct" in your existing analytics
Bot monitoring
Classify all AI crawler activity: which bots, which pages, crawl frequency, crawl depth, and correlation to subsequent citation
User journey analysis
How LLM-referred visitors navigate your site, how many pages they view, and how their conversion path differs from Google organic visitors
Conversion tracking by AI source
Which LLM platforms send the most valuable, highest-converting traffic to your site
Of 'direct' traffic on content-heavy sites is AI-sourced dark traffic invisible to GA4
GEO SEO Lab client data
“We had no idea Perplexity was sending us 400+ sessions a month until LLM Analytics recovered that traffic. Now we know exactly which content to double down on.”
Arjun S.
Marketing Director, B2B SaaS, Pune
Built for your industry
See how this tool is used in your specific vertical.
Related reading
Deeper context from the GEO SEO Lab blog.
Why Different AI Platforms Recommend Different Brands
Why Different AI Platforms Recommend Different BrandsSame Question, Four Answers, Almost Zero OverlapA GEO SEO Lab ReportEditorial Disclosure: This re...
How AI Answers “Best Business Near Me” in 2026 | Local AI Search
How AI Answers "Best Business Near Me"Inside the Shortlist That Decides Who Gets the CallA GEO SEO Lab ReportEditorial Disclosure: This report introdu...
How to Improve AI Visibility in 2026 : 5 Fixes You Can Make Today
5 Things You Can Fix Today for Better AI Visibility No Redesign, No New Budget, Just Real Fixes You Can Ship This Afternoon Introduction Most GEO advice ...
Frequently Asked Questions
Straight answers — no jargon walls.
GA4 is built for a world where all referral traffic comes through URL referrer headers. AI assistants do not consistently pass these headers. LLM Traffic Analytics uses additional JS signals, user agent analysis, referral pattern recognition, and AI platform-specific tracking tokens to identify AI-sourced traffic that GA4 simply cannot see. The two tools complement each other — we enrich GA4, not replace it.
When a user sees your brand mentioned in a ChatGPT response and navigates to your site directly (typing the URL or using a bookmark), GA4 sees that as "Direct" with no referrer. When a user reads a Perplexity answer and then Googles your brand name, GA4 sees that as "Organic" with no AI attribution. Both are AI-sourced — but invisible in standard analytics. LLM Traffic Analytics recovers both patterns.
JS snippet: under 10 minutes. GA4 connector: under 30 minutes. No developer required for either. The integration supports any CMS platform or custom-built website.
Measure the ROI of your GEO and SEO investments with actual attribution data. Identify which LLMs drive the most valuable converting traffic. See which pages get AI referrals and optimise them further with Booster. Report AI-era marketing impact to leadership with real numbers instead of estimates.
Yes. Bot monitoring separates crawler traffic (GPTBot, Google-Extended, PerplexityBot, ClaudeBot, etc.) from human visitor traffic. See crawl frequency, pages crawled, crawl depth, and whether crawler activity from a specific bot correlates with subsequent AI citation of those pages in the Visibility Tracker.
Still have questions? Talk to our team