Weak AI visibility with 1 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
stampmail.ai has a secure, crawlable base (HTTPS is active, title and meta description exist, and substantial text is available without JavaScript), but overall AEO readiness is still early-stage. Core machine-readable discovery assets are missing: `llms.txt` (404), `robots.txt` (404), `sitemap.xml` (404), and all JSON-LD schema blocks (0 found). The homepage also lacks structural and extractability signals that AI engines rely on, including an H1 (0), internal links (0), FAQ content, canonical tags, and direct Q&A formatting. In its current state, AI systems can read some text, but they have limited trust, context, and citation pathways.
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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.
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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