AI Visibility Scorecard
Refraction Networking
refraction.network · Technology
At 3.47/10, Refraction Networking is near-invisible in AI search today. Most AI engines will not name it when asked about its category. The weakest signals are Structured Data, Entity Clarity and News Mentions. That is fixable, and the signals below show where to start.
AI engines read this profile 8 times
Claude · Apple Intelligence · Meta AI · Parallel
Top 10% in Technology for AI visibility
62
AI Naming Predictability
iRarely named · 62/100
Technology average 28
Top 9% of Technology
See what's behind this score →3.47
-
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 →0
Muse Index Score
iAI agent readiness
Not agent-ready · 0/100
Technology average 17
See what's behind this score →0
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 3.47 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 read this profile 8 times in our tracking, including ClaudeBot (Anthropic), Applebot (Siri) and Meta AI.
- Company ·
- Refraction Networking
- Website ·
- refraction.network
- Industry ·
- Technology
- Site status ·
- Live (The website showed an active business site when last checked (Oct 31, 2026).)
- Last scored ·
- Nov 9, 2026
The 6 on-page 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.
The 6 off-page signals AI reads
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
-
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.
What this score means
Your AEO score measures whether AI search engines (ChatGPT, Claude, Perplexity, Gemini) can read your site and name it in answers. At 3.47/10, Refraction Networking is near-invisible to AI engines today. That is 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.
Why your brand doesn't show up in ChatGPT answers (and how to fix it)
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.
Continue reading in your free Engagemii portalSign up free to read the full article and get your AEO fix list for Refraction Networking.
Source & Attribution
Scored by Engagemii on November 9, 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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