Weak AI visibility with 3 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
Wayline.com has a crawlable HTTPS foundation and strong on-page text depth, but it is not AEO-ready in its current state. Core machine-readable discovery assets are missing, including `llms.txt` (404), `sitemap.xml` (404), RSS/Atom feed, canonical tags, and any JSON-LD schema (`schema_block_count: 0`). Content quality signals exist (19 quantitative data points, expert attribution, 15 snippet-length paragraphs), yet extraction and citation readiness is limited by absent Q&A structure, no FAQ page at `/faq` (404), weak internal linking (7 links), and missing freshness markup (`time_element_count: 0`). Overall, the site shows content potential but lacks the technical and structured-layer requirements needed for consistent AI engine visibility.
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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.
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.
Sitemaps tell crawlers what exists. RSS feeds tell them what changed. If you don't have one, your new content waits days -or weeks -to be discovered.
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