Citehound
Scan any domain for AI readiness and generate llms.txt, robots.txt and schema. Free, read-only.
| Endpoint | https://getcitehound.com/api/mcp (streamable-http) |
|---|---|
| Registry version | 1.0.0 |
| Now | 13 tools · grade B (88) · pin ts_6519f6231ab4bb38eb68e6e1d598cd75 · protocol 2025-06-18 |
| First / last listed | 2026-11-04 02:35 UTC / 2026-11-04 02:35 UTC |
| Grade over time | 2026-11-04: B (88), 13 tools |
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Tools: scan_site compare_sites generate_schema generate_robots_txt generate_llms_txt get_playbook get_benchmark list_ai_crawlers get_citation_prompts get_citation_sample get_methodology get_research get_sample_report
scan_site | Scans a domain’s public robots.txt, llms.txt, sitemap declaration and homepage, and scores it out of 100 across three pillars: discoverability (can AI crawlers reach it), technical foundation (can machines parse it), and content & trust (does it look like a credible source). Returns the score, the three pillar scores, access state for the 10 tracked AI crawlers, every failed check with its fix, an params: domain* |
compare_sites | Scans two domains — one after the other, not in parallel — and reports both scores plus every check where they differ. Useful for comparing your site against a named competitor. params: domain_a*, domain_b* |
generate_schema | Fetches a domain’s homepage for its real title, meta description and declared language, then returns ready-to-paste JSON-LD structured data of the requested type. Fields the scan cannot know — a FAQ’s actual questions, a product’s real price — come back as clearly bracketed placeholders, never invented values. params: domain*, type* |
generate_robots_txt | Builds a robots.txt file that explicitly allows or blocks named AI crawlers from Citehound’s tracked list of 10, plus an optional Sitemap line. Pure text generation — fetches nothing. Call list_ai_crawlers first if you need the exact tracked crawler names. params: allow, block, sitemap_url |
generate_llms_txt | Builds an llms.txt file — an optional convention for describing a site and its key pages, with no demonstrated effect on Google — from a name, a one-sentence description and a list of key pages. Pure text generation — fetches nothing. params: name*, description*, key_pages |
get_playbook | Returns the full GEO/AEO playbook for one of Citehound’s fourteen verticals, as plain readable text: the strategic shift, three actionable strategies, outdated pitfalls to avoid, and an expert-tip placeholder. Called with no argument it returns the list of the fourteen verticals with their track (B2B SaaS, consumer and e-commerce brands, local and independent professionals), so call it with no arg params: vertical |
get_benchmark | Returns Citehound’s own archived scan data for one category — average, median and range of scores, pillar breakdowns, per-crawler blocked, limited and open counts, and the most common failed checks, with sample size and scan date — or a ranked summary across every category when called with no argument. This is archived data, not a live scan, and fetches nothing external. params: category |
list_ai_crawlers | Lists the 10 AI crawlers Citehound tracks: which company runs each, what allowing or blocking it means, and this project’s robots.txt generator’s default for it. Use before generate_robots_txt if you need the exact tracked names. Fetches nothing. params: none |
get_citation_prompts | Returns the set of buying-intent questions Citehound uses to test whether an AI assistant names a brand, for one vertical, plus a short protocol a person can run in their own assistant: ask each question in a separate conversation three to five times, note whether the brand is named and whether it appears in a heading, list label, table or bold text, and judge the spread rather than one answer. Th params: vertical* |
get_citation_sample | Returns Citehound’s anonymised sample citation run as readable text: the model, the date, how many times each question was asked, the questions in three groups (named in every try, unstable, never named), the overall rate of being named with its range across sweeps, and a note on the limits. It is one model on one date, so it is not a ranking, says nothing about other assistants and is not a forec params: none |
get_methodology | Explains how the Citehound AI readiness score is built, read from the scanner’s own check registry so it matches what runs. With no argument it returns the three pillars with their weights (they add up to 100), every check with its category, points, what it tests and why it matters, and the limits of the scan: it measures readiness and not whether any assistant names a brand; it gives half credit params: check |
get_research | Returns Citehound’s published research: with no argument, the list of reports (the llms.txt and crawler study, the AgaOne case study and the benchmark data) with title, date, one-line finding and URL; with a slug, the key findings, the method limits, the URL and a ready line for citing it. Findings are checked against the published pages and data files. Every study measures readiness inputs, not w params: slug |
get_sample_report | Returns the sample Pro report as readable text: a real crawl of Citehound’s own site on a stated date, with the results shown as recorded. It gives the whole-site score beside the homepage score, the pillar averages, the priorities from the executive summary with the label saying what wrote it, the checks failing by number of pages, and the link to the full report, which also lists every page alph params: none |
Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.