Scan of 30 Well-Known Sites Finds Common Gaps in AI Search Readiness

A developer scanned one URL on each of 30 sites, mostly home pages spanning retail, documentation, news and public-sector domains, using the SeenLens audit tool with 43 checks. The median score across the 30 scored pages was 78 out of 100, while five pages refused the scanner with HTTP 403 or 202 responses. The most frequent shortfalls were the absence of a Content-Signal line in robots.txt on 26 of 28 readable files, no Markdown version on 19 of 25 pages, and no JSON-LD structured data on 13 of 25 inspectable pages. The author noted that the scanner detects only presence of these features, not whether crawlers honor them, and that optional capabilities like WebMCP were found missing on most pages but are not necessarily essential.