# @automatelab/citation-intelligence What LLMs cite, for agents. MCP server: check what Perplexity, Claude, ChatGPT, Gemini, Bing, and Google AI Overviews cite for any query. Self-hosted, BYO API key. - **Type:** MCP server - **Trust:** 60/100 (B), scored on the package rubric - **Verification:** community-indexed — nobody has claimed this listing - **Version:** 0.12.1 - **Author:** automatelab.tech - **License:** MIT - **npm:** @automatelab/citation-intelligence - **Source:** https://github.com/AutomateLab-tech/citation-intelligence - **Compatible clients:** claude-code, cursor, copilot, gemini (basis: transport) ## Trust 60/100 (B), scored on the package rubric - Publisher verified: no - Install scripts: nothing suspicious found - Prompt-injection scan: not run - Obfuscation scan: not run - Evidence age: 0 days ## Security scan - **Status:** warnings - **Scanned:** 2026-10-20T09:59:26.715Z - **Version scanned:** 0.12.1 - **CVEs:** none found by OSV at scan time **Findings** - injection-shaped content (note) in the `audit_llms_txt` tool: Links to undeclared domain: llmstxt.org ## Tools 26 declared. Statically extracted from the shipped source — a floor on the surface, not a census. - `citations_check` — Return URLs cited by an AI engine (Perplexity, Claude, ChatGPT, Gemini, or Bing) for a query. Use this when an agent or user wants to see what sources an AI sea - `domain_am_i_cited` — Check whether a domain is cited by an AI engine across a cluster of queries. Returns per-query presence, rank, and a citation-rate summary. Use to measure visib - `signals_ai_overview` — Check whether Google shows an AI Overview for a query, and which URLs it cites. Uses SerpAPI (free tier: 100/month). Set SERPAPI_KEY. - `domain_cited_for` — List queries that the given domain has been cited for, served from the local cache. Build up a corpus by calling check_citations or am_i_cited first; cited_for - `citations_predict` — Score citation likelihood for a URL from public signals (Wikipedia link presence, schema.org markup, /llms.txt, GitHub and Reddit references, canonical hygiene, - `panel_track` — Save, load, or list named query panels. A panel is a persisted set of queries you want to monitor over time (e.g. editorial-watchlist). Use action=save with que - `panel_run` — Run a saved panel through am_i_cited and append a timestamped snapshot. Side effects: makes external API calls to the configured AI engine (costs API quota); wr - `report_visibility` - `citations_trend` — Report citation rate over time for a panel from stored snapshots. Read-only; cache-only — makes no API calls to any AI engine and costs no API quota. Reads snap - `competitors_compare` — Run predict_citation on 2-10 URLs and return a side-by-side signal table plus a list of signals where the URLs diverge. Use to compare your URL to top-cited com - `signals_wikipedia` — List Wikipedia articles that reference the given domain. Read-only. One HTTPS GET to the Wikipedia API (en.wikipedia.org/w/api.php?action=query&list=exturlusage - `audit_sitemap` — Fetch a sitemap.xml (or sitemap index) and run predict_citation on every URL. Returns results sorted worst-score-first. Surfaces systemic issues across a whole - `competitors_compete` — End-to-end competitive snapshot for a single query. Calls check_citations to get the cited URLs, then runs compare_domains on your_url vs the top cited competit - `citations_freshness` — Score how recent the pages cited for a query are. Calls check_citations, then collects dateModified for each cited URL, returns a 0-100 recency_score (halflife= - `domain_cited_for_diff` — Diff cited_for between two time windows for a domain. Returns queries gained (cited now, not before baseline_until) and queries lost (cited before, not since cu - `signals_gsc_gap` — Join Google Search Console performance with am_i_cited per query. Surfaces queries where the domain ranks well in Google but is not cited in AI - the closest ed - `signals_bing_gap` — Join Bing Webmaster Tools query stats with am_i_cited per query. Surfaces queries where the domain ranks well in Bing but is not cited in AI - the closest edito - `audit_schema` — Deep schema.org validation for a URL. Parses every JSON-LD block and microdata node, checks required fields per @type (Article needs headline+author+datePublish - `audit_llms_txt` — Generate an llms.txt file (https://llmstxt.org spec) from a sitemap. Parses sitemap.xml + nested indexes, groups URLs by top-level path, and emits a Markdown do - `signals_answer_box` — Locate where each cited URL appears in the AI's raw answer text. Calls check_citations, finds the first mention of each citation's URL (or hostname) in raw_answ - `citations_provenance` — Fan a query out across multiple AI engines and report per-URL cross-engine consensus. Returns each unique cited URL with the list of engines that cited it, plus - `citations_evidence` — Extract the cited snippet from the AI engine's raw answer for each citation. Calls check_citations, then for each returned URL finds the first mention in raw_an - `audit_crawler_access` — Verify that major AI crawlers (GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot, CCBot, Google-Extended, Applebot-Extended, Bytespider, Meta-ExternalAgent, plus - `audit_sitemap_map` - `competitors_canonical_set` - `audit_structured_data` ## Install **Verdict: review** — Installable, but 1 thing to check first: No publisher has proved control of this listing; it is indexed, not vouched for. **Cautions** (coverage gaps and advisories — never blocking) - No publisher has proved control of this listing; it is indexed, not vouched for. **Config** (claude-code): ```json "{\n \"mcpServers\": {\n \"citation-intelligence\": {\n \"command\": \"npx\",\n \"args\": [\n \"-y\",\n \"@automatelab/citation-intelligence\"\n ]\n }\n }\n}" ``` ## Blast radius Contained to moderate — no credential declaration found, from the publisher, the upstream registry, or the README. Known so far: runs on your machine; read-only tool surface. - Floor 13, ceiling 31 (tier: unknown) - `unknown` means the floor and ceiling land in different bands — not measured enough to name one. It does not mean low. - This is impact, not likelihood. A high radius is not a defect: a filesystem server is supposed to write files. It is never part of the trust score. ## Machine-readable views of this entry - Signed JSON: https://forgeregistry.com/api/v1/packages/%40automatelab%2Fcitation-intelligence - Install plan: https://forgeregistry.com/api/v1/packages/%40automatelab%2Fcitation-intelligence/install-plan - Alternatives: https://forgeregistry.com/api/v1/alternatives/%40automatelab%2Fcitation-intelligence - HTML page: https://forgeregistry.com/registry/%40automatelab%2Fcitation-intelligence - MCP: POST https://forgeregistry.com/api/mcp → `forge_get_package` / `forge_install_plan` ## About this document Generated by Forge (https://forgeregistry.com) — a compact rendering of the same record served, signed, at the JSON URL above. Trust and scan facts are the registry's own measurements; anything Forge did not measure is named as unmeasured rather than omitted.