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AI Visibility Scorecard
MCPize
mcpize.com · Technology
Somewhat visible. AI bots can read MCPize, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 2 times
Claude
#258,071 of 2,616,081 in Technology for AI visibility
5.9
/10
AEO Score
About MCPize
from our crawl and measurement
"The premier marketplace for Model Context Protocol servers." That is how MCPize introduces itself. To AI engines like ChatGPT and Perplexity it is partially visible, scoring 5.9 out of 10, readable in places and missing in others.
Our crawl found structured data on the page (Organization, WebSite, FAQPage), an llms.txt file for AI models and a sitemap.
AI crawlers have visited 2 times in our tracking, including ClaudeBot (Anthropic).
The 6 signals AI reads
Higher is better · 0-10
Structured Data
8
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
10
Clear headings and answer-style content.
Entity Clarity
6
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
3
Experience, Expertise, Authority, Trust markers.
Technical AEO
9
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
9
Sitemaps and entity links AI can follow.
Off-page authority
How the web signals your brand to AI
Backlinks
1
Inbound links from other sites.
Domain Trust
3
Established authority for your domain.
Entity Presence
0
Not in AI knowledge graphs yet.
News Mentions
0
No press coverage found yet.
Community
3
Forum and community discussion.
0
No Reddit mentions found yet.
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. Roughly two-thirds of sites are invisible to them. At 5.9/10, MCPize has a working base to build on - fixable, and the signals above are where to start.
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?
The exact fixes for MCPize
Which AI engines already crawl you
Weekly ChatGPT & Claude citation tracking
Tech Shoppers Do More Research Than Anyone. Are You There When They're Looking?
Tech buyers are the most research-intensive shoppers on the internet.
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Source & Attribution
Scored by Engagemii on August 2, 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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