
We Audit AI Visibility for a Living. So We Audited Ourselves.
Can you trust the score an AI visibility tool gives you, tomorrow as well as today? We test our own scoring weekly and audited our whole stack. Here is the proof.
Paste your URL. We read your site and build a structured llms.txt shaped to the same standard Pixelmojo uses on its own site. Free, no trial wall, nothing stored.
llms.txt is an emerging standard that tells AI models what your site is, what you offer, and how your content may be cited. Hosting a clean one at yourdomain.com/llms.txt improves your chances of being accurately represented by ChatGPT, Claude, Perplexity, and Gemini. This generator reads your existing page signals (title, meta description, structured data, navigation) and reads your page content to assemble a structured llms.txt. The wording is AI-assisted but grounded only in what is on your pages, never fabricated.
Your name, a one-line summary, and a company overview pulled from your title, meta description, and Organization schema.
Detected from Product, Service, and SoftwareApplication schema on your page, with names, descriptions, and URLs where present.
Your most important pages (About, Products, Pricing, Blog, Contact) found in your navigation, plus your sitemap if you have one.
A clear attribution and citation policy so AI engines know how they may reference your content.
The same section layout Pixelmojo uses on its own llms.txt, the structure that earns clean AI citations.
Anything we cannot read from your site is left as a clear placeholder, so you know exactly what to complete before publishing.
Our most-cited deep dives on AI search visibility, plus what we shipped this month.

Can you trust the score an AI visibility tool gives you, tomorrow as well as today? We test our own scoring weekly and audited our whole stack. Here is the proof.

What is a good AEO score? See what AEO checkers actually measure, how grades work, real data from 59 audits, and the fixes that raise a failing score.

Grok answers brand questions for 117M monthly users per the SpaceX S-1. We measured what it says, and it got our own brand wrong. Check yours today.