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    Advanced content gap analysis using Query Decomposition and Keyword Fan-Out (Google's patented methodology). Tells you exactly what user queries your content covers - and what it misses. Built on academic research because I needed to understand how AI search engines actually evaluate content.
    1
    134 npm
    14
    Apache 2.0
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    Provides AI agents with structured short-form content mechanics including hooks, script structures, retention strategies, and CTAs, along with auditing tools to avoid common posting failures.
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    39 npm
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    MIT
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    Provides twelve read-only tools that report how often ChatGPT, Claude, Gemini, Perplexity and Google AI Overviews name and cite a brand, covering visibility, share of voice, sentiment, competitor mentions, sources, alerts and ranked recommendations with the underlying answers. It lets users query these measurements directly from Claude, Cursor or any MCP client, with denominators and null-handling rules included so results are interpreted correctly.
    12
    62 npm
    MIT
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    Enables AI assistants to check how discoverable a website is to AI search engines and assistants by inspecting signals like crawler access, llms.txt, structured data, and on-page metadata, and returning a 0-100 visibility score.
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    MIT
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    Find out how AI assistants and search engines talk about your brand. Ask how often ChatGPT, Perplexity and Google's AI answers mention you, where you rank, how positive those mentions are, which sites they cite, and how you compare with competitors. Your assistant can also set up and adjust the monitoring for you, showing a preview and asking before anything that deletes data or uses up your plan.
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    328 npm
    MIT
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    GEO (Generative Engine Optimisation). This tool shows you exactly how AI search engines see your content - claim density, writing quality, E-E-A-T signals, extractability. Research-backed metrics that correlate with 40% higher AI citation rates.
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    99 npm
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    MIT
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    Enables creators to analyze supplied short-form video transcripts and metadata into structured hook, retention, remix, script, content-gap, and creator-pack outputs without API keys or paid external services.
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    Provides access to the LinkedIn Sales Navigator API without requiring browser cookies for authentication. It enables AI assistants to interact with sales data and various utility endpoints including TV Maze and deck of cards.
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    MIT
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    A WhatsApp marketing and messaging service that handles both free-form messages (within 24-hour window) and template workflows for bulk messaging, supporting conversation management and template creation/registration.
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    MIT
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    A joke/demo Model Context Protocol server that injects cringe-worthy advertisements into LLM responses, showcasing both how to build MCP servers and the risks of ad-injecting intermediaries.
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    9 npm
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    MIT
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    LLM Optimizer is an AI visibility intelligence platform. It analyzes how large language models and AI search engines perceive, cite, and recommend brands; then provides research-backed optimization strategies to improve that visibility.
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    MIT
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    Connects AI assistants to AI visibility tracking data so users can inspect brand rankings, competitors, cited sources, and ChatGPT fan-out queries, run prompt-set interviews, and, with permission, approve or edit brands.
    MIT
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    Exposes WebWeaver Nexus services — waitlist signup with embedded form, product overview, and contact info — to MCP-enabled hosts via Streamable HTTP.
    Apache 2.0
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    Connects MCP clients to ThriveStack AI Visibility data, enabling users to see how AI search engines mention and cite their brand, compare with competitors, and decide what to publish next.
    MIT
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    MCP server that turns AI IDEs into a Feedico coupon agent, enabling natural language queries for live affiliate coupons and merchants across multiple languages.
    MIT
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    Enables operating one or many LINE Official Accounts through natural language in MCP-compatible AI hosts, covering broadcasts, Flex/Rich/Card messages, Thai-ready rich menus, coupons, audiences, insights, webhooks, LIFF, and LINE Shopping — including zero-setup image hosting for tappable images. It adds pre-flight validation, quota and quiet-hour guardrails, multi-OA switching and fan-out, and Thai-localized templates and error messages.
    339 npm
    MIT
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    MCP server for Dashform (getaiform.com) - create and manage AI-powered forms, quizzes, and surveys. Supports form creation, response collection, analytics, and AI-driven form building with 15 tools across form management, response handling, and AI operations.
    MIT
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    Connects AI assistants to Revelor e-shop analytics, search configuration, and recommendations, enabling both reading and optional writing for e-shop data.
    MIT
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    Lets an AI assistant check any URL to see how much of a page's main content is present in the raw HTML versus only after JavaScript runs, showing which text blocks, meta fields, canonical tags, JSON-LD and links AI crawlers like GPTBot and ClaudeBot cannot read. It also reports what robots.txt allows for 22 AI bot tokens and how the site responds to each bot's user-agent.
    AGPL 3.0
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    MCP server and Claude skills for AI agents to build landing pages, run A/B experiments, and track first-party conversions. Lets agents onboard clients, create and publish pages, manage variants, and pull performance reports via the UXON API.
    13
    MIT