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LLM Optimizer

jonradoff/llmopt

Exposes AI brand visibility analytics through six analysis operations: answer engine optimization scoring based on GEO research, two-phase YouTube authority analysis, Reddit community sentiment scraping, search visibility evaluation, direct LLM knowledge testing across Anthropic/OpenAI/Gemini/Grok, and composite brand intelligence scoring. Each operation returns structured data with visibility scores, competitive positioning, and optimization recommendations grounded in peer-reviewed research on how LLMs cite sources. Reach for this when you need to measure and improve how AI systems perceive a brand, whether you're debugging why Claude doesn't mention your product or optimizing content for AI Overview inclusion. The server uses OAuth 2.1 authentication and runs on a Go backend with MongoDB persistence.

GitHub stars: 7
tools: 5
transport: HTTP
last updated: Mar 6, 2026

Tools

5 tools

Public tool metadata for what this MCP can expose to an agent.

llmopt_list_domainsList all domains tracked for your account

List all domains tracked for your account

No parameter schema in public metadata yet.

llmopt_get_reportGet a specific analysis report for a domain

Get a specific analysis report for a domain

No parameter schema in public metadata yet.

llmopt_get_visibility_scoreGet the composite AI visibility score (0-100) for a domain, weighted across 5 components

Get the composite AI visibility score (0-100) for a domain, weighted across 5 components

No parameter schema in public metadata yet.

llmopt_list_todosList action items from optimization analyses

List action items from optimization analyses

No parameter schema in public metadata yet.

llmopt_update_todoUpdate a todo item's status (admin/owner only)

Update a todo item's status (admin/owner only)

No parameter schema in public metadata yet.

Sponsors

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Readme

LLM Optimizer

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.

View the full README on GitHub

Details

Repository: github.com/jonradoff/llmopt
Categories: Search & Web Crawling, Monitoring & Observability, Media & Entertainment
Transport: HTTP
Registry: MCP registry, active

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