AI visibility score
6.3/ 10Good

▼ 1.7 since Jun 2026

#81,566 of 2,706,693 in Technology

As of 2026-08-02 · Engagemii indexCheck another site →The index →

AI Visibility Scorecard

MCPize

MCPize

Unclaimed

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 11 times

Claude · Meta AI

#81,566 of 2,706,693 in Technology for AI visibility

6

AEO Visibility

i

Visible · 6.3/10

55

Muse Index Score

i

AI agent readiness

Agent-ready · 55/100

12

AI Adoption

i

Basic · 12/100

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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 6.3 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).

Industry · Technology
Last scored · Aug 2, 2026

The 6 signals AI reads

Strong · Good · Fair · Weak

Structured Data

Strong

Organization / LocalBusiness JSON-LD that AI can read.

Content Structure

Strong

Clear headings and answer-style content.

Entity Clarity

Good

How clearly your brand identity reads to AI.

E-E-A-T Signals

Experience, Expertise, Authority, Trust

Weak

Experience, Expertise, Authority, Trust markers.

Technical AEO

Strong

robots.txt, llms.txt, and AI-bot crawl access.

AI Discoverability

Strong

Sitemaps and entity links AI can follow.

Off-page authority

How the web signals your brand to AI

Backlinks

Weak

No inbound links found yet.

Domain Authority

Weak

Little domain authority yet.

Reference Presence

Weak

Not in AI knowledge graphs yet.

News & Press

Weak

No press coverage found yet.

Community

Weak

No community discussion yet.

Social Mentions

Weak

No social discussion 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 6.3/10, 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

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Which AI engines already crawl you

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Free AI bot monitoring: see every AI crawler that visits you

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Picked for MCPize: AEO & AI Search

The AEO Checklist Every Small Business Owner Needs Right Now

Your potential customers are asking ChatGPT, Gemini, and Claude questions about your product category. These AI models are giving answers without sending traffic to your website. You're not losing rank. You're losing visibility entirely.

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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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