AI Visibility Scorecard
NIPU-EJD
nipu-ejd.eu · Education
Borderline visible. AI bots can crawl NIPU-EJD, 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 13 times
Meta AI · Claude · ShapBot · Perplexity
#114,122 of 937,751 in Education for AI visibility
20
AI Naming Predictability
iRarely named · 20/100
Education average 14
Top 20% of Education
See what's behind this score →4
-
Network Authority
iNot connected yet
Education average 0.0
0 relationships · Education average 4
See what's behind this score →55
Muse Index Score
iAI agent readiness
Agent-ready · 55/100
Education average 13
See what's behind this score →0
About NIPU-EJD
from our crawl and measurement
"European Joint Doctorate (Marie Skłodowska-Curie ITN) on the synthesis, characterization, structure and properties of novel non-isocyanate polyurethanes (NIPUs)." That is how NIPU-EJD introduces itself. When AI engines look at it, they find little to work with. It scores 4.2 out of 10.
Our crawl found structured data on the page (Organization, WebSite, FAQPage), an llms.txt file for AI models and a sitemap.
AI crawlers have visited 2 times in our tracking, including ClaudeBot (Anthropic).
- Company ·
- NIPU-EJD
- Website ·
- nipu-ejd.eu
- Industry ·
- Education
- Site status ·
- Live (The website showed an active business site when last checked (Oct 31, 2026).)
- Last scored ·
- Aug 1, 2026
The 6 signals AI reads
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
Good
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
Weak
Little domain authority yet.
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 read your site and name it in answers. At 4.2/10, NIPU-EJD is crawlable but under-signaled - fixable, and the signals above are where to start.
Frequently Asked Questions
What is the NIPU-EJD project?
NIPU-EJD is a European Joint Doctorate (Marie Skłodowska-Curie programme) dedicated to non-isocyanate polyurethanes (NIPUs). The project trained 12 PhD researchers in the synthesis, characterization and applications of this new generation of more sustainable polyurethanes, produced without using isocyanates.
Who funds the NIPU-EJD project?
The project is funded by the European Union under the Horizon 2020 programme — Grant Agreement No. 955700.
How long did the project run?
The project started on 1 December 2020 and ended on 31 May 2025. The team remains reachable at [email protected].
Who coordinates the NIPU-EJD project?
The consortium is coordinated by the University of Mons (Belgium).
What is a non-isocyanate polyurethane (NIPU)?
A NIPU is a polyurethane synthesised without using isocyanates, which are known toxic compounds. This alternative route relies mainly on the reaction of cyclic carbonates with amines, and is a safer and more sustainable approach to producing polyurethanes.
How many partners are in the consortium?
The consortium brings together 14 academic and industrial partners across Europe, including the University of Mons, the University of Liège, the University of Bordeaux, the University of Montpellier, the University of the Basque Country, the KTH Royal Institute of Technology, the Karlsruhe Institute of Technology, Materia Nova, Henkel, Carpenter, Perstorp, PolymerExpert, COP and CRM.
How many PhD researchers were trained in the programme?
Twelve (12) Early Stage Researchers (ESRs) were recruited and trained within the programme.
How can I contact the NIPU-EJD team?
By email at [email protected]. The project is also present on LinkedIn (page "NIPU-EJD"). An official project record is available on CORDIS under identifier 955700.
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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/nipu-ejd-eu
Cite this score: Engagemii (2026). "AEO Score for NIPU-EJD." Retrieved from https://engagemii.com/aeo/brands/nipu-ejd-eu
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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