"Understanding Perplexity in Relation to Claude" matching MCP tools:

• novada_ai_monitorA

  novada-mcpA

  Check how AI models (ChatGPT, Perplexity, Grok, Claude, Gemini) reference your brand. Analyzes sentiment, extracts claims, and identifies competitor mentions across AI search engines.

  MIT

• cite42_searchA

  Cite42: AI visibility and SEO data for AI agentsA

  Query AI models like ChatGPT, Claude, Perplexity, Gemini and Google AI Overviews to get answers and cited sources for tracking brand visibility in AI search.

  MIT

• brand_visibilityA

  Unilytics MCP ServerB

  Analyze brand visibility in AI-generated answers across ChatGPT, Claude, and Perplexity to improve Generative Engine Optimization (GEO).

  MIT

• get_ai_visibilityA

  NearIQ MCP ServerA

  Measure your business's visibility across AI search engines like ChatGPT, Gemini, Perplexity, and Claude. Get scores per engine and actionable recommendations to improve presence.

  MIT

• get_ga4_ai_referrersB

  seocrawl-mcpB

  Measure AI referral traffic from ChatGPT, Claude, Gemini, and Perplexity in GA4. Track GEO traffic from LLM engines to analyze AI visibility.

  MIT

• list_promptsB

  seocrawl-mcpB

  List tracked AI visibility prompts, filterable by engine such as ChatGPT, Claude, Gemini, or Perplexity, to monitor brand presence in AI responses.

  MIT

• ai_visibility_checkA

  fdl-mcp-serverA

  Check how ChatGPT, Perplexity, Gemini, Claude, and Bing Copilot describe your business. Get a 0-100 visibility score with specific fixes to improve your AI search presence.

  MIT

• remove_work_item_relationA

  Plane MCP ServerB

  Remove a single relation between two work items. Delete a built-in dependency or custom relation independently.

  MIT

• delete_relationA

  pounceA

  Remove a relation between two cards, optionally specifying the relation type to target. Use to disconnect work items in Targetprocess when a link is no longer needed.

  MIT

  Destructive

• get_resultsA

  AEO Copilot MCP ServerA

  Retrieve AI prompt results showing a brand's mention, position, sentiment, sources, and competitors across ChatGPT, Claude, Perplexity, and Google AI Overviews. Filter by engine.

  MIT

• analyze_brandA

  visibilityradar-mcpA

  Analyze brand visibility across multiple AI models (Claude, GPT-4o, Gemini, Perplexity, Grok, DeepSeek). Return scores, sentiment, competitor comparison, and recommendations.

  MIT

• check_brand_visibilityA

  ai-visibility-mcpA

  Analyze brand visibility across ChatGPT, Perplexity, Claude, and Gemini by simulating realistic queries to track mention rates, positions, sentiment, and competitor landscape.

  MIT

• run_brand_promptsA

  AEO Copilot MCP ServerA

  Run all brand prompts across ChatGPT, Claude, Perplexity, and Google AI Overviews, with optional topic filtering, and get the count of prompts executed.

  MIT

• run_index_promptsA

  AEO Copilot MCP ServerA

  Run all prompts in an index across ChatGPT, Claude, Perplexity, and Google AI Overviews, storing full per-LLM results and capturing every brand mention without filters.

  MIT

• geo_check_visibilityA

  GEOScore MCP ServerA

  Check if your domain is cited by AI search engines like ChatGPT, Perplexity, and Claude. Test brand-related queries against multiple AI engines to reveal citation status.

  MIT

• geo_auditA

  viraill-mcpB

  Audit AI search visibility, uncover intent gaps and white spaces, and generate BLUF answer blocks with Schema.org markup for ChatGPT, Perplexity, Gemini, Claude.

  MIT

• twining_neighborsA

  Twining MCP ServerA

  Traverse the knowledge graph from any entity to discover connected neighbors up to three levels deep, with optional relation type filtering for targeted exploration.

  MIT

• create_brandB

  Citesurf MCPA

  Monitor brand visibility across AI platforms like ChatGPT, Claude, Gemini, and Perplexity. Track visibility scores, analyze competitor data, and receive insights to improve AI-generated brand recommendations.

  MIT

• relation_meta_definitionsA

  meegle-cli-mcpB

  List relation definitions in a project to discover relation IDs and field keys, enabling accurate relation list queries.

  -

• generate_llms_txt_blueprintC

  super-agent-skillC

  Create standardized llms.txt and llms-full.txt files to enable accurate indexing by AI crawlers like Perplexity, ChatGPT, and Claude.

  MIT

• aiethos_geo_quickscanB

  mcp-ethostron-liveB

  Run a quick GEO audit on any URL to check AI bot crawlability, Schema.org health, and direct-answer readability, then identify citation gaps for ChatGPT, Perplexity, and Google AI Overviews.

  Apache 2.0