AI Visibility Scorecard
lunar.dev · Technology
Borderline visible. AI engines can read Lunar, but Structured Data, Domain Trust and News Mentions are weak, so it is at real risk of being skipped when buyers ask ChatGPT, Claude or Perplexity for a recommendation.
AI engines read this profile 12 times
Meta AI · Claude · Parallel
Top 5% in Technology for AI visibility
77
AI Naming Predictability
iNamed occasionally · 77/100
Technology average 28
Top 4% of Technology
See what's behind this score →4.77
-
Network Authority
iNot connected yet
0 relationships on record. Businesses in Technology average 4. Claim your page and Engagemii is your first.
See what's behind this score →10
Muse Index Score
iAI agent readiness
Basic · 10/100
Technology average 17
See what's behind this score →12
from our crawl and measurement
Lunar 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 4.77 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 read this profile 12 times in our tracking, including Meta AI, ClaudeBot (Anthropic) and ShapBot (Parallel).
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
-
Not yet measured.
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 read your site and name it in answers. At 4.77/10, Lunar is borderline: readable but under-signaled. That is 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.
When a buyer asks ChatGPT which company to use, two different things can happen. ChatGPT can name a company in its answer. Or it can link to a web page as a source. Most advice about AI visibility is about the second one. Our data says the first one is what matters.
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Scored by Engagemii on November 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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