AI Visibility Scorecard
graphibre.com · Technology
At 1.11/10, Graphibre 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, E-E-A-T Signals and Backlinks. That is fixable, and the signals below show where to start.
AI engines read this profile 1 times
Claude
15
AI Naming Predictability
iRarely named · 15/100
Technology average 28
Top 64% of Technology
See what's behind this score →1.11
-
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 →5
0
from our crawl and measurement
Graphibre describes itself simply: "An extraordinary combination of mechanical, thermal, electrical and surface properties makes graphene a compelling material for advanced engineering applications." To AI engines like ChatGPT and Perplexity, though, it is barely visible: it scores 1.11 out of 10.
Our crawl found a sitemap and a readable heading structure. It is missing structured data describing the business and an llms.txt file.
AI crawlers have read this profile 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
Strong
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
Good
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
Fair
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 1.11/10, Graphibre is near-invisible to AI engines today. That is fixable, and the signals above are where to start.
What is Graphibre?
Graphibre is developing adaptive vibration-isolation technology designed to improve the quality and consistency of physical-world data captured by sensors. The approach combines lightweight composite structures, graphene-enhanced shear-thickening fluids, sensing and adaptive control 02
What is Physical AI Data Fidelity?
Physical AI Data Fidelity describes the reliability of data captured from the physical world before it reaches an intelligent system. Graphibre addresses vibration and movement at the sensor interface, helping reduce physical interference that can affect the quality and consistency of sensor data 03
How does Graphibre isolate vibration?
Graphibre combines a lightweight composite architecture with a fluid-based isolation system. The technology is being developed to respond mechanically to changing vibration conditions while isolating sensitive sensors and other components from unwanted vibration 04
Why use shear-thickening fluids?
Shear-thickening fluids can change their rheological behaviour as applied shear conditions change. Graphibre is investigating how this responsive behaviour can be used within a compact vibration-isolation system to alter its mechanical response under dynamic conditions 05
What role does graphene play?
Graphibre is investigating graphene-enhanced shear-thickening fluid formulations and their interaction with the surrounding composite structure. The proof-of-concept programme is intended to determine experimentally how these formulations influence vibration transmission and system response 06
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/graphibre
Cite this score: Engagemii (2026). "AEO Score for Graphibre." Retrieved from https://engagemii.com/aeo/brands/graphibre
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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