Analytise

Website owners currently rely on tools like Google Analytics (GA4), which the company describes as complex, slow to load, and reliant on cookies that require consent banners. These tools were not built to identify the growing share of traffic arriving from AI assistants such as ChatGPT, Claude, and Perplexity, leaving site owners unable to see which assistants are sending visitors or how that traffic converts into revenue. Setting up GA4 also often requires technical effort, and its data can be sampled or capped at 30 days, making it hard to see long-term trends or attribute revenue accurately to specific channels.

Analytise is a cookie-free analytics tool, under 1kb in size, installed with a single line of tracking code on any website or framework including WordPress, Shopify, Next.js, and Webflow. It shows visitors, page views, bounce rate, session length, revenue, and conversion rate on a real-time dashboard, and specifically breaks out LLM traffic by identifying referrers like chatgpt.com, perplexity.ai, claude.ai, and copilot.microsoft.com. It supports custom goals and journey tracking (source, time to convert, which goal fired), autocapture of clicks, rage clicks, dead clicks, and form submissions without manual event setup, and stores up to 3 years of data history. It also offers MCP and API access so tools like ChatGPT, Claude, and Cursor can query analytics data directly, and processes traffic on its own servers so no personal data or cookies are stored on visitor devices.

The product is positioned around the rise of AI assistants (ChatGPT, Claude, Perplexity) as a growing referral source that traditional analytics tools do not track, framing LLM referral visibility as a new, unmet need.