Weak AI visibility with 2 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
browse.dev shows a strong technical rendering foundation (HTTPS enabled, semantic elements like main/header/section, 7,840 characters of crawlable text, and a single H1), but it is not AEO-ready in its current state. Critical discovery and machine-understanding assets are missing, including `https://browse.dev/llms.txt` (404), `robots.txt` (404), `sitemap.xml` (404), and all JSON-LD schema (`schema_block_count: 0`, `schema_types_found: []`). The site also lacks extractable answer formatting and freshness signals, with zero question headings, zero direct answer pairs, zero definition patterns, and no `<time>` elements. Overall, the current setup limits AI citation and retrieval despite having accessible on-page content.
Scoreboard
Top Opportunities
Improve Your Score
Guides for the criteria with the most room for improvement
Tidio has a 251-line llms.txt. Crisp has zero. The score gap: +29 points. This single file tells AI assistants exactly what your site does -and without it, they're guessing.
Tidio runs 4 JSON-LD schema types. Crisp runs zero. That's not a coincidence -it's the difference between a 63 and a 34. Structured data is the machine-readable layer AI trusts most.
Our site runs 87 FAQ items across 9 categories with FAQPage schema on every one. That's not excessive -it's how we hit 88/100. Each Q&A pair is a citation opportunity AI can extract in seconds.
Your homepage has perfect JSON-LD. Your other 200 pages? Zero. Here's how we measure the gap -and why AI engines judge your whole domain by it.
Want us to improve your score?
We build citation-ready content that AI engines choose as the answer.