AI Visibility Scorecard
platform.ekkos.dev · Technology
At 2.79/10, ekkOS is near-invisible in AI search today. Most AI engines will not name it when asked about its category. The weakest signals are E-E-A-T Signals, Backlinks and Domain Trust. That is fixable, and the signals below show where to start.
AI engines read this profile 5 times
Claude · Meta AI · Amazon Alexa
Top 50% in Technology for AI visibility
30
AI Naming Predictability
iRarely named · 30/100
Technology average 28
Top 23% of Technology
See what's behind this score →2.79
-
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 →80
Muse Index Score
iAI agent readiness
Transactable · 80/100
Technology average 17
See what's behind this score →9
from our crawl and measurement
"Every AI coding assistant forgets everything between sessions. ekkOS makes them learn. Outcome-tracked patterns, autonomous healing, and a learning loop that compounds with every." That is how ekkOS introduces itself. When AI engines look at it, they find little to work with. It scores 2.79 out of 10.
Our crawl found structured data on the page (Organization, WebSite, SoftwareApplication), an llms.txt file for AI models and a sitemap.
AI crawlers have read this profile 5 times in our tracking, including ClaudeBot (Anthropic), Meta AI and AmazonBot (Alexa AI).
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.
How the web signals your brand to AI
Backlinks
Weak
No inbound links found yet.
Domain Authority
Weak
Little domain authority yet.
Reference Presence
-
Not yet measured.
News & Press
Weak
No press coverage found yet.
Community
Weak
No community discussion yet.
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 2.79/10, ekkOS is near-invisible to AI engines today. That is fixable, and the signals above are where to start.
Why does my AI coding assistant forget everything between sessions?
AI coding tools like Claude Code, Cursor, and Copilot have limited context windows that reset every session. ekkOS solves this with a 12-layer persistent memory system that retains your architecture, conventions, patterns, and project knowledge permanently.
How is ekkOS different from Mem0 or other AI memory tools?
Most AI memory tools store key-value pairs. ekkOS is a full intelligence layer with 12 structured memory layers, a self-healing pipeline (NERVE), behavioral directive enforcement, a continuous learning loop (Golden Loop), and collective intelligence that makes your AI smarter over time — not just a better parrot.
Does ekkOS work with Claude Code, Cursor, and Copilot?
Yes. ekkOS works as a proxy layer between your IDE and AI provider, so it's compatible with Claude Code, Cursor, Windsurf, VS Code, Copilot, and more. Install once, benefit everywhere.
What is vibe coding and why does AI-generated code keep breaking?
Vibe coding — AI-assisted development where you describe intent and AI generates code — is powerful but fragile. The problem: AI has no memory of past failures, no understanding of your architecture, and no self-correction. ekkOS adds all three — persistent memory, architectural directives, and autonomous self-healing.
Is my code safe with ekkOS?
ekkOS uses end-to-end encryption with zero-knowledge architecture. Your source code never touches our servers. SOC 2 Type II certification is in progress.
ChatGPT doesn't crawl the web like Google does. When someone asks Claude about the best project management tools, the model isn't searching your website in real-time. It's pulling from training data that stopped months or years ago.
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Scored by Engagemii on November 9, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/platform-ekkos-dev
Cite this score: Engagemii (2026). "AEO Score for ekkOS." Retrieved from https://engagemii.com/aeo/brands/platform-ekkos-dev
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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