Weak AI visibility with 0 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
getasap.us has a minimal technical base for AI visibility: HTTPS is enabled and a title tag exists, but the site is largely invisible to AEO systems in its current form. Core discovery assets are missing, including /llms.txt (404), /robots.txt (404), /sitemap.xml (404), and FAQ content at /faq (404). The homepage contains no JSON-LD schema (schema_block_count: 0), no H1, no internal links, and no canonical tag, which prevents AI engines from confidently identifying, classifying, and citing the brand. With an overall score of 4, this is a foundational rebuild opportunity rather than an optimization pass.
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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.
AI assistants are question-answering machines. When your content is already shaped as questions and answers, you're handing AI a pre-formatted citation. Sites that do this right get extracted -sites that don't get skipped.
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.
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