Reaudit Mcp Server

Created By
Rose Samaras4 months ago
AI visibility monitoring and ΑΕΟ/SEO optimization platform. Track how your brand appears in AI assistant responses (ChatGPT, Claude, Perplexity), monitor competitor visibility, generate ΑΕΟ/SEO optimized content, manage social media publishing, and analyze website performance across search engines and AI platforms. Audit and create strategy for your brand.
Overview

Reaudit is a comprehensive AI visibility and AEO/SEO platform that connects your brand's digital presence to the rapidly evolving landscape of AI-powered search. As AI assistants like ChatGPT, Claude, and Perplexity increasingly become how people discover products and services, Reaudit gives you the tools to monitor, measure, and optimize how your brand shows up in those AI-generated responses.

At its core, Reaudit tracks your brand mentions across major AI platforms, analyzing sentiment, citation sources, and visibility rates over time. You can set up custom prompts to monitor the exact questions your target audience is asking AI and see whether your brand is being recommended, how it's positioned against competitors, and what sources AI models are citing.

Beyond monitoring, Reaudit is a full content engine. It generates AEO/SEO optimized blog posts, social media content, newsletters, video scripts, and more, all informed by your brand's voice, knowledge base, and target keywords. Content can be published directly to WordPress, headless CMS platforms via webhooks, or social channels like X/Twitter and LinkedIn, with scheduling and calendar management built in.

The platform includes a robust AEO/SEO auditing system that analyzes pages for technical issues, content quality, performance, and mobile readiness, then delivers prioritized recommendations by impact level. It integrates with Google Analytics 4, Bing Webmaster Tools, and Microsoft Clarity to provide a unified analytics hub covering traffic, behavior, search performance, and AI referral data in one place.

For strategic planning, Reaudit offers a Go-To-Market strategy engine that walks you through research, strategy formulation, content planning, funnel design, execution, and offer creation, each step powered by AI deep search. It also monitors Reddit for lead opportunities, tracks competitor visibility, manages outreach for link building, and submits URLs for indexing.

Whether you're a solo founder trying to understand if ChatGPT recommends your product, a marketing team optimizing content for both traditional and AI search, or an agency managing visibility across multiple brands. Reaudit provides the monitoring, content, and analytics infrastructure to stay ahead in the age of AI-driven discovery.

reaudit.io

Server Config

{
  "mcpServers": {
    "reaudit": {
      "command": "npx",
      "args": [
        "@reaudit/mcp-server"
      ],
      "env": {
        "REAUDIT_BASE_URL": "https://reaudit.io"
      }
    }
  }
}
Project Info
Created At
4 months ago
Updated At
4 months ago
Author Name
Rose Samaras
Star
-
Language
-
License
-
Category

Recommend Servers

View All
Docwand

14 hours ago
//beforeyouship — LLM Cost Modeling From Your Editor
@Indiegoing

Query realistic LLM cost models without leaving your editor. beforeyouship models the **true monthly cost** of an LLM app architecture — retries, prompt caching, batch discounts, infra overhead, and 3×/10× growth — across GPT-5.x, Claude, Gemini, DeepSeek, and more. Not a token calculator: a planning tool for the design phase, before you commit to a stack. **No API key needed to try it** — demo mode covers the six free-tier models. A Pro key from [beforeyouship.dev](https://beforeyouship.dev) unlocks the full 18-model catalog. ## What you can ask - "How much will a RAG chatbot cost at 10,000 requests/day?" - "Compare Claude Haiku vs Gemini Flash pricing for my workload" - "What's the cheapest model for a multi-step agent at scale?" - "Show me current per-token prices for Anthropic models" ## Tools ### `estimate_cost` Full cost model for an architecture at a given usage level. Returns Naive / Realistic / Worst Case monthly cost per model, 3×/10× growth scenarios, and an opinionated recommendation with reasoning. ### `get_model_prices` Current per-1M-token pricing — input, output, cached input, batch — with context windows and staleness metadata. ### `list_archetypes` Seven preset architecture patterns (simple chatbot, chatbot with history, RAG pipeline, multi-model router, coding assistant, document processor, multi-step agent) used as starting points for estimates. ## Setup **Claude Code:** ​```bash claude mcp add --transport http beforeyouship https://beforeyouship.dev/api/mcp ​``` **Cursor / other clients** — add a remote server: ​```json { "mcpServers": { "beforeyouship": { "type": "streamable-http", "url": "https://beforeyouship.dev/api/mcp" } } } ​``` Add an `Authorization: Bearer bys_...` header with a Pro key for the full catalog. ## Try it > Estimate the monthly cost of a RAG pipeline at 10,000 requests/day

14 hours ago