See how LLMs like ChatGPT, Gemini, and Claude see your website. Uncover content hidden by JavaScript, missing alt text & ARIA labels, broken semantic structure and invisible elements.
See your website through an LLM's eyes
See how LLMs like ChatGPT, Gemini, and Claude see your website. Uncover content hidden by JavaScript, missing alt text & ARIA labels, broken semantic structure and invisible elements.
Hey Product Hunt! 👋 We’ve all wondered how AI “sees” the world, right? Well, we built a tool that shows you exactly how top LLMs like ChatGPT, Gemini, and Claude see your website. We obsess over beautiful hero images, slick fonts, fancy animations…but LLMs can’t “see” any of that. They reduce your page to raw HTML, alt-text, and structure. Today there is no visibility into that machine view, which impacts your AI rankings and how your brand shows up in answers. Humans vs LLM gives you: • A side-
This sounds super handy, especially with how fast AI tools are evolving. Do you think AI readiness help with regular SEO too, or is it mostly for showing up better in AI-generated answers?
This can be a real eye-opener for quite many people. Great work!
Second launch and already blowing minds! 🧠👀 “See your site through an LLM’s eyes” is such a cool concept—perfect for SEO & content strategy. 🔍🤖
Interesting approach to bridging product listings and AI summaries. Do you plan to support structured data markup or schema integration so these AI-generated summaries are better understood by search engines?
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.