"Answer" matching MCP servers:

Enables users to ask buyer questions across Google AI Overviews, ChatGPT, Claude, Perplexity, and Gemini and receive sampled answer rows, brand named/cited rates, competitor rates, and cited sources. Runs the tracking workflow on Apify and returns dataset rows ready for analysis.

Checks if a brand appears in an LLM's answer for GEO/AI-SEO. Part of Pipeworx gateway.

Enables AI assistants to answer questions about livestream advertising using GingerLive's up-to-date data on ad formats, network reach, campaign case studies, and the streamer program, as well as plan campaigns and evaluate streamer monetization.

An MCP server that detects affiliate links and provides information about Tracklix, enabling AI assistants to answer affiliate-link-related questions without any network calls or API keys.

Lets MCP clients answer questions about website traffic using Plausible Analytics Stats API v2 through read-only tools for totals, trends, breakdowns, and realtime visitors.

Checks what GPTBot, ClaudeBot, PerplexityBot and 50+ other AI crawlers can read on a site and what its access policy allows, checks whether a page permits search, answers, training or agent use (with a signed receipt), generates llms.txt, robots.txt and JSON-LD, and reads your Answer Analysis. Nine tools for Claude Desktop, Cursor and other MCP clients.

Lets an MCP client check whether an ecommerce store can be read by AI assistants, auditing robots.txt to see which AI search versus training crawlers are blocked and sampling product pages to confirm structured data and facts survive in raw HTML without JavaScript. It can also generate a training-only opt-out robots.txt that leaves answer-engine crawlers allowed, all inside the conversation the user is already in.

Downloads your entire Search Console dataset into a local SQLite database, then gives your LLM a pre-built SQL query library for every standard SEO analysis type, with context available for your LLM to perform any SQL query to answer your questions and analyse for you.

Checks a website's robots.txt and Cloudflare settings to identify AI crawler blocking. Also generates llms.txt content to improve visibility to AI answer engines.

An MCP server that gives AI agents tools to inspect a website's visibility to AI answer engines, including crawler permissions, llms.txt, structured data, on-page signals, and a full 29-check AI-readiness audit.

A read-only, keyless MCP server that lets Claude, ChatGPT, Cursor, or any MCP client answer questions about an AI and automation consultant — background and roles, seven case studies, twelve fixed-price project tiers and three consultations, plus a hand-maintained availability status — and hand back the contact routes and a suggested first-message brief for hiring. It performs no runtime network calls and cannot send messages or book calls, so contact stays with a person.

Enables MCP clients such as Claude to read Google Search Console data, including search analytics, sitemaps, and URL inspection, so users can answer SEO questions with real numbers while remaining read-only.

Enables MCP clients to check whether AI answer engines such as ChatGPT, Claude and Perplexity can read and cite a given site, reporting robots.txt rules, edge-level bot blocks, llms.txt, structured data, JS-only content and other citation blockers with a score and fixes. It can also draft a starter llms.txt file from a site's homepage.

MCP server for reading Meta Business (Facebook Pages and Instagram) data via Graph API, with cross-account portfolio aggregation to answer questions about follower growth, page insights, and metrics. It runs as a stdio or HTTP server for Claude Desktop.

Agent-native Generative Engine Optimization (GEO) audits, crawler analysis (GPTBot, Perplexity, Claude), and Schema.org direct-answer remediation.

A local MCP server that lets Codex answer conversational questions about Meta Ads performance. It provides read-only tools for listing ad accounts, checking active ads, and summarizing account performance.

Enables agents to run free Answer Engine Optimization and AI visibility audits for a domain across platforms such as ChatGPT, Google AI Overviews, and Perplexity, then poll status and retrieve a shareable report URL plus structured summary.

Checks whether a website is readable and citable by AI search engines — llms.txt, Schema.org structured data, AI-bot access in robots.txt, content freshness, answer directness, E-E-A-T signals, plus a LocalBusiness Rich Results validator. Free, no API key, remote Streamable HTTP.

Gives AI coding agents a project's growth context, exposing site audits, prioritized findings, live analytics, ad, search, and lifecycle marketing data, and session-replay insights so they can answer growth questions and recommend next steps. Also provides action tools to provision measurement, provision ad resources, and turn findings into reviewable code-fix workflows such as pull requests, diffs, and previews.

Public read-only MCP server for HiBot's AI-visibility knowledge: the ANSWER framework for measuring how AI answer engines surface, recommend, and represent brands, plus audit plans, case studies, and research. Hosted Streamable HTTP endpoint; the repo's Dockerfile bridges stdio via mcp-remote.