# LLM Analytics: Track AI Traffic, Crawlers, and Referrals | Searchable

Searchable LLM Analytics tracks the traffic AI platforms send to your site. It connects AI crawlers, AI referral visitors, landing pages, devices, and source mix, so teams can see when discovery in AI answers turns into measurable demand, and where crawls are not yet turning into traffic.

## What LLM Analytics Shows

- **AI traffic trend:** referral sessions from ChatGPT, Perplexity, Gemini, Claude, Copilot, and other AI surfaces, and whether the line moves after content and source updates.
- **Source summary:** AI traffic broken down by source, so teams can separate one-off referral spikes from durable platform-level growth.
- **Landing pages:** the pages AI platforms send buyers to, sessions compared against crawl volume, and pages that are read by AI but not yet converting into traffic.
- **Crawl to referral:** crawler activity overlaid with referral sessions, showing which platforms index the site, which send traffic, and where the lag appears.
- **Bot types:** crawls split into AI search and citation bots, AI training bots, AI assistants, AI agents, and search engines.
- **Sitemap coverage:** how much of each sitemap directory AI crawlers reach.

## How It Works

1. **Connect traffic sources.** Connect GA4, Google Search Console, or Searchable traffic tracking so crawler and visitor data can be read in one place.
2. **Classify AI activity.** Searchable classifies AI referrers and AI crawlers, then separates human visitors from bot activity.
3. **Map activity to pages.** The dashboard compares source, page, device, and crawler movement across the same reporting window.
4. **Prioritize the next action.** Use the page and platform breakdowns to prioritize pages that are crawled often but not yet earning visits.

## Frequently Asked Questions

### What does LLM analytics measure?

LLM analytics measures traffic and site activity connected to AI platforms: referral sessions from AI products, AI crawler visits, landing pages receiving AI traffic, source mix, devices, and page-level movement over time.

### How is LLM analytics different from AEO visibility?

AI visibility tells you whether your brand appears in AI answers. LLM analytics shows what happens after that: whether AI platforms crawl your pages, cite or recommend them, and send real visitors to your site.

### Which AI traffic sources can Searchable track?

Searchable can track AI referral traffic from platforms such as ChatGPT, Perplexity, Gemini, Claude, Copilot, and other AI experiences when those visits appear in analytics or first-party traffic data.

### Why track AI crawlers and AI referrals together?

Crawler tracking shows whether AI systems are reading your pages. Referral tracking shows whether people arrive from AI products. Seeing both together helps teams understand whether indexing activity is turning into buyer traffic.

### Can I see which pages AI platforms send traffic to?

Yes. Landing page analytics shows which pages receive AI traffic, which platforms send those sessions, how crawl activity compares with referrals, and which pages may need better content, structure, or source support.

### How can agencies use LLM analytics?

Agencies can use LLM analytics to report AI referral growth, prove which pages are gaining traction, find crawl-to-referral gaps, and show clients which AI platforms are becoming meaningful acquisition channels.

### How can enterprise teams use LLM analytics?

Enterprise teams can monitor platform-level AI traffic, separate crawler activity from human visitors, compare AI traffic with search and direct channels, and prioritize pages that need optimization before competitors own the route.

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