AI visibility score
4.2/ 10Fair

#111,963 of 937,788 in Education

As of 2026-08-01 · Engagemii indexCheck another site →Live terminal →

AI Visibility Scorecard

NIPU-EJD

NIPU-EJD

Unclaimed

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 12 times

Meta AI · Claude · ShapBot · Perplexity

#111,963 of 937,788 in Education for AI visibility

<1

AI Naming Predictability

i

Rarely named · <1/100

Top 20% of Education

4

AEO Visibility

i

Borderline · 4.2/10

55

Muse Index Score

i

AI agent readiness

Agent-ready · 55/100

0

AI Adoption

i

None detected · 0/100

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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).

Industry · Education
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 actually read your site and cite it in answers. Roughly two-thirds of sites are invisible to them. 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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