AI Visibility Scorecard
Refraction Networking
refraction.network · Technology
Borderline visible. AI bots can crawl Refraction Networking, but the structured-data signals are thin - you are at real risk of being skipped when buyers ask ChatGPT, Claude, or Perplexity for a recommendation.
AI engines read this profile 7 times
Claude · Apple Intelligence · Meta AI · ShapBot
#566,361 of 2,705,505 in Technology for AI visibility
8
5
AEO Visibility
iBorderline · 4.7/10
0
Muse Index Score
iAI agent readiness
Not agent-ready · 0/100
0
AI Adoption
iNone detected · 0/100
About Refraction Networking
from our crawl and measurement
"Ongoing work Published research Get involved Refraction Networking Internet freedom in the network’s core What is refraction networking?." That is how Refraction Networking introduces itself. To AI engines like ChatGPT and Perplexity, though, it is barely visible: it scores 4.7 out of 10.
Our crawl found a readable heading structure. It is missing structured data describing the business, an llms.txt file and a sitemap.
AI crawlers have visited 2 times in our tracking, including ClaudeBot (Anthropic).
The 6 signals AI reads
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
Weak
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
Fair
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
Fair
Sitemaps and entity links AI can follow.
Off-page authority
How the web signals your brand to AI
Backlinks
Strong
Inbound links from other sites.
Domain Authority
Fair
Established authority for your domain.
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 4.7/10, Refraction Networking is crawlable but under-signaled - fixable, and the signals above are where to start.
Frequently Asked Questions
What work is happening now?
Refraction networking was independently invented in 2011 by three engineering teams.
What research has been published?
The papers are: Operational Deployment Running Refraction Networking for Real Benjamin VanderSloot, Sergey Frolov, Jack Wampler, Sze Chuen Tan, Irv Simpson, Michalis Kallitsis, J. Alex Halderman, Nikita Borisov, and Eric Wustrow Proc. 20th Privacy Enhancing Technologies Symposium (PETS ’20), July 2020.
How can I get involved or find out more?
The refraction networking coalition is working to partner with network operators. If you’d like to find out more or help support our efforts, please contact us at [email protected]. * The term decoy routing has been used ambiguously to refer to this overall family of approaches and to a specific scheme described by Karlin et al. We use refraction networking as an umbrella term to refer to all the schemes.
Is this your brand?
The exact fixes for Refraction Networking
Which AI engines already crawl you
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How to Get Your Brand Cited by ChatGPT, Gemini, and Claude: The Complete AEO Guide
The search landscape has fundamentally shifted. While Google still dominates, millions of users now ask questions to ChatGPT, Gemini, and Claude instead of typing into a search bar.
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Source & Attribution
Scored by Engagemii on August 1, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/refraction-network
Cite this score: Engagemii (2026). "AEO Score for Refraction Networking." Retrieved from https://engagemii.com/aeo/brands/refraction-network
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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