Weak AI visibility with 2 of 22 criteria passing. Biggest gap: schema.org structured data.
Verdict
second.dev is currently not AEO-ready, with an overall score of 7/100 and 17 of 22 criteria scoring 0. The few positives are technical discoverability basics: robots.txt scored 5 and sitemap completeness scored 5, while llms.txt scored 4 but is only 68 characters and lacks useful links or structure. Core answer-surface signals are absent, including JSON-LD schema (score 0), FAQ coverage (score 0), direct-answer formatting (score 0), canonical tags (score 0), and internal linking (0 links). In its current state, AI systems have very little structured, attributable, or extractable content to cite.
Scoreboard
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Top Opportunities
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Guides for the criteria with the most room for improvement
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.
Most AI crawlers don't run JavaScript. If your content loads after page render -behind accordions, SPAs, or API calls -you're invisible. We've seen entire FAQ sections vanish from AI's perspective because of one accordion widget.
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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We build citation-ready content that AI engines choose as the answer.