Weak AI visibility with 5 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
kobaltlabs.com currently shows low AEO readiness, with an overall score of 16/100 and most foundational machine-readability signals missing. Critical discovery and interpretation assets are absent, including llms.txt (404), JSON-LD structured data (0 blocks), internal linking (0 links), and direct-answer formatting (0 question headings and no snippet-ready answer paragraphs). While canonical setup is strong (10/10) and fact density is high (8/10 with 260 quantitative data points), the site lacks the schema, semantic structure, and freshness signals needed for reliable AI extraction and citation.
Scoreboard
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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.
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.
AI crawlers follow internal links to discover and contextualize content. A page with zero inbound links is a page AI will never find. Hub pages linking to 20+ related articles signal topical authority that both engines reward.
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