ai-visibility-mcp
Related Servers
Alternatives to ai-visibility-mcp
No user-submitted related servers found.
Related Servers
- AlicenseAqualityCmaintenanceEnables AI agents to audit and improve a site's visibility in AI search by checking robots.txt against 17 major AI crawlers, detecting llms.txt, and returning a 0-100 visibility score with per-crawler verdicts; it also lists known AI crawlers and their purposes.2MIT
- AlicenseAqualityBmaintenanceEnables AI agents to check whether a public website is crawlable, understandable, and ready for AI search workflows through local-only audits of robots.txt, sitemaps, metadata, and llms.txt.371 npm1MIT
- AlicenseAqualityBmaintenanceEnables AI assistants to audit a website's AI visibility by checking crawler access, identity files, and page signals, and running a full scored audit across ChatGPT, Claude, Gemini, and Perplexity.10125 npmMIT

QueryRev AI Readinessofficial
AlicenseAqualityCmaintenanceChecks a site for AI crawlers: which of 11 AI crawlers its robots.txt lets in, whether its llms.txt follows llmstxt.org, and what its home page says without scripts. Findings with evidence; no scores, no model calls, no telemetry.579 npmMIT- AlicenseNot gradedqualityCmaintenanceEnables auditing websites for AI/LLM readiness and generating fixes such as robots.txt rules, llms.txt, JSON-LD schema, and meta tags, plus checking brand and domain citations through natural language.1MIT
- AlicenseAqualityAmaintenanceCheck whether a website is visible to AI search engines (ChatGPT, Perplexity, Claude, Google AI Overviews). Returns a 0-100 readiness score, a grade, and a specific fix for each gap. Dependency-free, no API keys.23 npmMIT
TDQS
Scored across 4 tools
Each tool has a clearly distinct purpose: audit_ai_visibility performs a comprehensive composite audit, check_ai_bot_access focuses solely on robots.txt and bot access, check_llm_mention checks LLM responses for brand mentions, and compare_competitors runs audits across multiple domains. No two tools overlap in functionality.
All tool names follow a consistent verb_noun pattern: audit_ai_visibility, check_ai_bot_access, check_llm_mention, compare_competitors. The verbs (audit, check, compare) clearly indicate the action, and nouns describe the target.
With 4 tools, the server covers its core domain—AI visibility auditing—without being excessive or insufficient. Each tool contributes a distinct operation: detailed audit, specific check, LLM search, and competitive comparison.
The tool surface is complete for the domain: it includes a comprehensive audit (robots, sitemap, JSON-LD, llms.txt), a specific robots.txt check, LLM mention analysis, and competitor comparison. No obvious missing operations like per-resource checks are needed, as they are covered by the composite audit.