Introduction
LLM Scan tracks how AI assistants talk about your brand. Paid plans run the questions your customers ask through AI assistants every week (ChatGPT and Perplexity, plus Claude and Gemini on Enterprise), check your Google rank and AI Overview citations for the keywords you track, and send one report with the 3 things to fix next. Most teams start with the free technical scan, which checks whether AI answer engines can read your site at all: crawlability, robots.txt, llms.txt, sitemaps, semantic HTML, structured data, Markdown support, and content usage signals.
Prerequisites
Before starting a scan, make sure you have:
- A public website URL
- Access to update your robots.txt, sitemap, metadata, or templates
- A few minutes to review the generated recommendations
Running a Scan
Open the [scanner](/), paste your homepage URL, and submit it. LLM Scan follows redirects, validates the host, and runs the checks in parallel.
Reading the Report
Use the overall score to prioritize the work, then review each failed signal. Every finding explains what was detected, why it matters for AI systems, and what to change.
Next Steps: Track How AI Answers Mention You
A clean technical score means AI can read your site. It does not tell you whether ChatGPT or Perplexity recommend you, or who they recommend instead. To see that, set up weekly tracking: pick the questions your buyers ask, add the competitors your plan allows, and choose the keywords to watch in Google. Each week LLM Scan sends a report with your mention rate and position by assistant, the prompts you won and lost, share of voice, the sources AI cited, your keyword positions and AI Overview citations, and 3 suggested fixes. If a technical check changes, it shows up as one line in the same report. Weekly tracking is included in paid plans; see pricing. You can still share the public scan report with your team at any time.