Weak AI visibility with 9 of 22 criteria passing. Biggest gap: schema.org structured data.
Verdict
1code.dev has a solid technical baseline for AI discovery, with HTTPS enabled, crawlable HTML, a strong `llms.txt` (HTTP 200, 6,068 chars), and a large valid sitemap (3,007 URLs). It also shows healthy publishing momentum, with 2,006 URLs carrying `lastmod` and 69 pages updated in the last 90 days. However, AEO performance is constrained by major machine-readability gaps: zero JSON-LD blocks (`schema_block_count: 0`), no canonical tag, no RSS/Atom feed, no `ai.txt`, and no freshness markup like `<time>` or schema dates. The site is content-rich but under-instrumented for citation and entity understanding by AI engines.
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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 has a trust hierarchy for sources. At the top: proprietary data and first-hand expert analysis. At the bottom: rewritten Wikipedia articles. We've watched AI preferentially cite sites with original benchmarks -even over bigger competitors.
Your homepage has perfect JSON-LD. Your other 200 pages? Zero. Here's how we measure the gap -and why AI engines judge your whole domain by it.
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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