LLM Visibility Audit

Compare what LLM crawlers see in response HTML vs. what a browser renders — across six technical dimensions.

Explain this tool with ChatGPT Perplexity

How it works

01

Raw fetch

Your URL is fetched as a plain HTTP request, absent of JavaScript. This is what LLM crawlers like ClaudeBot and GPTBot actually read.

02

Browser render

The same URL is loaded in a headless browser with full JS execution, capturing the DOM a real user would see.

03

Gap analysis

Our backend compares both versions across six dimensions, scoring how much content, structure, and signal is lost between what LLM crawlers see and what browsers render.

Caveats

01 Scores are directional signals, not verdicts. Use them to prioritize investigation, not as definitive measurements.
02 Some sites detect and block automated fetches, returning a challenge page instead of real content.
03 Pages with skeletal SSR plus heavy JS hydration can score artificially high — the raw HTML exists but may lack meaningful content.
04 This tool captures one snapshot in time. Personalized, A/B tested, or geo-targeted pages may behave differently across requests.

Fetching response + rendered HTML and running evaluations

Takes 15–30 seconds
LLM Visibility Audit — Stereo Argento
— / 100

Overall LLM Extractability Score

Top Priorities

Dimension Breakdown