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MCPize
What this score means
Your AEO score measures whether AI search engines (ChatGPT, Claude, Perplexity, Gemini) can actually read your site and cite it in answers. Two-thirds of websites are invisible to them. MCPize just got measured.
8/10 means MCPize is well-positioned for AI search. The full breakdown below shows where you are still leaving points on the table.
About MCPize
The premier marketplace for Model Context Protocol servers
Key Topics
Details
Category: Technology
mcpize.comAI Visibility Breakdown
7
Structured Data
9
Content Structure
6
Entity Clarity
7
E-E-A-T Signals
10
Technical AEO
9
AI Discoverability
Frequently Asked Questions
What are MCP servers?
MCP servers are plugins that connect AI assistants (like Claude, Cursor, VS Code) to external tools and data sources using the Model Context Protocol. They extend AI capabilities beyond chat, enabling access to databases, APIs, file systems, and third-party services in a standardized, secure way.
Are there any paid MCP servers?
Yes! On MCPize, developers can publish paid MCP servers and earn 80% revenue share. Browse our marketplace to find both free and premium servers across 20+ categories.
What are some popular MCP servers?
Popular MCP servers include GitHub integration, Figma connector, AWS tools, Slack messaging, PostgreSQL database access, and more. With 10 new servers published daily, there's always something new on MCPize marketplace.
How do I build an MCP server?
Use the MCPize CLI: run 'npx mcpize init', develop locally with hot reload, then 'mcpize deploy' to publish. We provide templates for Python and TypeScript with full documentation.
Can I monetize my MCP server?
Yes! MCPize is the platform offering 80% revenue share for MCP creators. Set your price (subscription, usage-based, or one-time), we handle billing and payouts via Stripe.
Is this your brand?
Claim free. You'll see:
Your full 6-category score breakdown
Exact fixes: robots.txt, schema, llms.txt
AI bot crawls from ChatGPT, Claude, Perplexity, Gemini
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Source & Attribution
Scored by Engagemii on May 24, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/mcpize
Cite this score: Engagemii (2026). "AEO Score for MCPize." Retrieved from https://engagemii.com/aeo/brands/mcpize
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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