AI Visibility Scorecard
lunar.dev · Technology
Somewhat visible. AI bots can read Lunar, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 9 times
Meta AI · Claude
#23,356 of 2,705,353 in Technology for AI visibility
7
AEO Visibility
iVisible · 6.7/10
10
Muse Index Score
iAI agent readiness
Basic · 10/100
12
AI Adoption
iBasic · 12/100
from our crawl and measurement
Lunar.dev describes itself simply: "The only Enterprise AI Control Plane for MCP, LLM, and API governance. Full observability and runtime governance across every AI interaction, in a single audit trail." To AI engines like ChatGPT and Perplexity it is partially visible, scoring 6.7 out of 10, readable in places and missing in others.
Our crawl found structured data on the page (WebSite), an llms.txt file for AI models and a sitemap.
AI crawlers have visited once in our tracking, including ClaudeBot (Anthropic).
Strong · Good · Fair · Weak
Structured Data
Weak
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
Strong
Clear headings and answer-style content.
Entity Clarity
Fair
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
Fair
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.
How the web signals your brand to AI
Backlinks
Strong
Inbound links from other sites.
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
Fair
Forum and community discussion.
Social Mentions
Weak
No social discussion found yet.
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 6.7/10, Lunar has a working base to build on - fixable, and the signals above are where to start.
Can we evaluate MCP servers for safety before using them broadly?
Yes. Lunar.dev performs automated risk analysis that identifies safety and compliance concerns. After review, the server can be tested in a sandbox environment so you can verify behavior before allowing it into production.
How does MCPX handle authentication for remote MCP servers?
MCPX supports several methods: basic API-key authorization, standard OAuth flows, and “Static OAuth” (e.g. OAuth 2.0 Client Credentials or Device Flow). You can integrate it with your identity provider or OAuth app, avoiding manual token management.
How does MCPX help secure and standardize tool behavior used by AI agents?
MCPX allows you to customize tool behavior by hardening parameters, rewriting descriptions and limiting which actions are exposed. This helps ensure that each tool operates within your organization’s safety, compliance and performance guidelines.
How can we ensure our data remains fully protected when using MCPX?
MCPX is fully self hosted, so it runs entirely inside your infrastructure.
How can I manage an internal MCP registry?
MCPX Enterprise provides a Custom MCP Server Catalog that lets administrators publish and control which MCP servers are available across the organization. It supports curated, team specific catalogs and follows Anthropic’s MCP Registry specifications as they evolve.
Is this your brand?
The exact fixes for Lunar
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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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Scored by Engagemii on August 9, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/lunar-dev
Cite this score: Engagemii (2026). "AEO Score for Lunar." Retrieved from https://engagemii.com/aeo/brands/lunar-dev
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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