Weak AI visibility with 4 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
shekelmobility.com has a usable technical base (HTTPS enabled, semantic elements like main/nav/footer/section, and 19 internal links), but it is not currently AEO-ready. Core machine-readable discovery assets are missing, including `llms.txt` (404), `robots.txt` (404), `sitemap.xml` (404), and any JSON-LD schema blocks (`schema_block_count: 0`). Content extractability is also weak: no FAQ page (`/faq` 404), no question headings, no list/table structures, no canonical tag, and no freshness markup despite substantial on-page text.
Scoreboard
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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.
No date on your page? AI engines treat it like a rumor -undated and deprioritized. Here's how we audit whether your timestamps are actually machine-readable.
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