whereamimentioned

com.whereamimentioned/whereamimentioned · v0.1.0-rc.1 · search-and-web

whereamimentioned is healthy: it completed an MCP handshake in 2686 ms and exposes 7 tools.

Measure whether AI assistants mention your brand. Reports, model answers, scans, free site tools.

Endpoint: https://whereamimentioned.com/api/mcp (streamable-http)

Facts

Checked (UTC)	Status	Latency	Error
2026-11-07T15:40:23.824Z	Healthy	2686

`check_ai_crawler_access`	Check whether a site's robots.txt allows or blocks each known AI crawler (GPTBot, ClaudeBot, PerplexityBot, Google-Extended and about thirty others), with the exact rule and line that decided it.
`validate_llms_txt`	Fetch and validate a site's llms.txt: findings with severity and line numbers, a 0 to 100 score, section and entry counts, whether the linked URLs resolve, and whether a sibling llms-full.txt exists.
`generate_llms_txt`	Crawl a site and generate an llms.txt. depth "index" produces the link index (up to 30 pages); depth "full" produces llms-full.txt with extracted page content (up to 20 pages).
`generate_sitemap`	Crawl a site (up to 200 pages, sitemap-first with a link-following fallback) and return a valid sitemap.xml, with lastmod only where it was genuinely observed.
`analyze_content_chunking`	Analyze how well a page is chunked for retrieval: per-heading sections with word and token counts, findings by severity, strengths, a score and the top fixes.
`validate_structured_data`	Fetch a page, validate its JSON-LD entities against the schema.org types that matter for AI visibility, and report per-entity findings with severity, entity counts and a score. Also reports how many microdata and RDFa annotations are present, without validating them.
`check_meta_description`	Analyze a page's title, meta description, og:description and opening paragraph: character and pixel widths, where desktop and mobile truncate, a score and per-check findings.