Documentation
Get started in 4 steps
Set up LLM Signal analytics in minutes to track AI traffic, improve visibility, and turn model mentions into growth.
Grow your AI visibility with LLM Signal in 4 steps:
1/ Install tracking script
- Create a site in LLM Signal and copy your JavaScript snippet from Settings -> Installation.
- Add the script in your website <head> tag:
<script defer data-site="YOUR_SITE_ID" data-domain="yourdomain.com" src="https://www.llmsignal.app/s.js?siteId=YOUR_SITE_ID" ></script> - Deploy and visit a few pages to create baseline events.
Need more reliable bot capture? Add the Node.js/Next.js middleware from Settings -> Installation.
2/ Verify AI traffic quality
- Open Dashboard -> Overview.
- Check Verified Traffic, Spoofed Traffic, and Recent Events.
- Use Capture Health to identify low-signal periods and confirm activity.
3/ Track prompts that matter
- Go to Prompts and create high-intent prompts your buyers ask.
- Add your brand terms and choose the AI models to monitor.
- Run prompts and review Sources, Search Queries, Brand Rankings, and Mentions.
4/ Improve visibility with Growth insights (optional)
- Use Content opportunities to prioritize new pages from model search queries.
- Use Backlink opportunities to identify cited sources where your brand is weak or missing.
- Iterate and rerun prompts to validate improvements over time.
Next steps
- Install the script
- Install via CLI
- Open dashboard settings
- Track prompts
- Review growth insights
- Analyze top pages
Go to Dashboard -> Settings to find install options, exclusions, team access, and billing controls.
Need help?
Need help?
Documentation updates
We publish new playbooks and setup guides as features ship.