# LLM Boost

> AI-Readiness SEO Platform that audits websites for visibility in AI-generated responses from ChatGPT, Claude, Perplexity, and Gemini.

## About

LLM Boost is a SaaS platform that crawls websites, scores every page across 37 AI-readiness factors, and provides actionable recommendations to improve how content appears in LLM-powered search engines.

The scoring engine evaluates four categories:
- Technical SEO (25%): crawlability, meta tags, canonicals, structured data
- Content Quality (30%): depth, clarity, authority, citations
- AI Readiness (30%): JSON-LD, llms.txt, schema markup, entity coverage
- Performance (15%): Lighthouse metrics, page speed, Core Web Vitals

## Pricing

- Free: 10 pages/crawl, 2 crawls/month, 1 project
- Starter ($79/mo): 100 pages/crawl, 10 crawls/month, 5 projects
- Pro ($149/mo): 500 pages/crawl, 30 crawls/month, 20 projects
- Agency ($299/mo): 2,000 pages/crawl, unlimited crawls, 50 projects

## Features

- 37-factor AI-readiness scoring engine
- Automated website crawling with Lighthouse audits
- AI visibility checks across ChatGPT, Claude, Perplexity, Gemini
- Competitor analysis in AI responses
- PDF and DOCX report generation
- Integrations with Google Search Console, Google Analytics, WordPress
- Score trend tracking over time

## MCP Server

LLM Boost provides a Model Context Protocol (MCP) server with 27 tools for AI coding agents. Install via npm:

```
npm install @llmrank.app/mcp
```

Available tools: list_projects, get_project, create_project, start_crawl, get_crawl_status, list_crawls, get_site_score, compare_scores, get_score_history, list_pages, get_page_details, list_issues, get_fix_recommendation, generate_fix, check_visibility, list_visibility_history, suggest_queries, analyze_content, suggest_meta_tags, check_llms_txt, validate_schema, get_recommendations, get_content_gaps, discover_keywords, list_competitors, compare_competitor, generate_report.

Supported IDEs: Claude Code, Cursor, Claude Desktop, VS Code, Windsurf, Perplexity.
HTTP transport: https://mcp.llmrank.app/v1/mcp (OAuth 2.1 with PKCE).

## Links

- [Homepage](https://llmrank.app)
- [Pricing](https://llmrank.app/pricing)
- [Integrations](https://llmrank.app/integrations)
- [Free Scan](https://llmrank.app/scan)
- [MCP Server](https://llmrank.app/mcp)
- [npm Package](https://www.npmjs.com/package/@llmrank.app/mcp)
- [Terms of Service](https://llmrank.app/terms)
- [Privacy Policy](https://llmrank.app/privacy)