Is LLCrawler a replacement for Peec AI?
No. They solve adjacent but different problems. LLCrawler is a free technical audit that runs once and tells you whether your site is AI-readable — it checks llms.txt, JSON-LD, robots.txt, meta tags, content structure, and sitemap. Peec AI is a paid monitoring product that watches LLM answers over time to see if your brand gets mentioned for specific prompts. Most teams use LLCrawler first to fix the plumbing, then consider a monitoring tool once their site is actually visible to LLMs.
Is LLCrawler really free? What is the catch?
Yes, it is free. There is no signup, no credit card, and no trial expiring in 7 days. We rate-limit anonymous usage to prevent abuse, and we have optional paid features on our roadmap for people who want monitoring and history — but the audit itself is free today and will stay that way. The catch is that LLCrawler does a one-off audit, not continuous monitoring.
Why not just use Peec AI and skip LLCrawler?
You can, but you will probably waste money. Peec AI tracks whether LLMs mention your brand for specific prompts. If your site is missing llms.txt, has no JSON-LD, blocks GPTBot in robots.txt, or has content structure that LLMs cannot parse, you are paying for monitoring that will only confirm what you already suspect: nobody is citing you. LLCrawler fixes those technical issues first, for free, so Peec AI's data is actually meaningful when you turn it on.
Can I use both?
Yes, and that is what we recommend. Run LLCrawler first and fix every issue it flags — llms.txt, JSON-LD, robots.txt, meta tags, content structure. Once your site scores 80 or higher, sign up for a monitoring tool like Peec AI to track how your LLM visibility evolves over time. The two products live at different points in the funnel: LLCrawler is pre-flight, Peec AI is in-flight.
How does LLCrawler's audit actually work?
You paste your URL, we crawl the homepage and up to 9 internal pages, and we score six categories: structured data (JSON-LD), content structure (H1, FAQ, text volume), meta and social tags (OpenGraph, Twitter Cards), performance (Lighthouse), AI readiness (llms.txt, robots.txt directives for GPTBot, ClaudeBot, PerplexityBot, Google-Extended, and JavaScript dependency), and sitemap validity. The full report includes issues, recommendations, a shareable badge, and a Markdown audit prompt you can paste into ChatGPT or Claude to get help implementing the fixes.