AI visibility score
5.6/ 10Fair

▲ 0.6 since Jun 2026

#156,220 of 936,963 in Education

As of 2026-08-01 · Engagemii indexCheck another site →The index →

AI Visibility Scorecard

Engineering Learning & Teaching

Engineering Learning & Teaching

Unclaimed

engineeringedu.press · Education

Somewhat visible. AI bots can read Engineering Learning & Teaching, but it is missing the structured signals that push citation rate above competitors.

AI engines read this profile 4 times

Claude · Meta AI

#156,220 of 936,963 in Education for AI visibility

6

AEO Visibility

i

Borderline · 5.6/10

5

Muse Index Score

i

AI agent readiness

Basic · 5/100

14

AI Adoption

i

Basic · 14/100

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About Engineering Learning & Teaching

from our crawl and measurement

"To share my thoughts and day to day experiences in Engineering Education." That is how Engineering Learning & Teaching introduces itself. Its AI visibility score is 5.6 out of 10: the engines can find it, but they do not have much to hold on to.

The site gets some of it right: it has a sitemap, a readable heading structure. What holds it back is what is absent, including structured data describing the business, an llms.txt file.

Our monitoring has logged 2 AI crawler visits here: the engines come, the question is what they find.

Industry · Education
Last scored · Aug 1, 2026

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

Good

How clearly your brand identity reads to AI.

E-E-A-T Signals

Experience, Expertise, Authority, Trust

Good

Experience, Expertise, Authority, Trust markers.

Technical AEO

Good

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 5.6/10, Engineering Learning & Teaching has a working base to build on - fixable, and the signals above are where to start.

Frequently Asked Questions

What are the assumptions underpinning phenomenography?

The key assumption underpinning phenomenography is that there are only so many ways that a given population can perceive, understand or experience any given phenomenon (Tight, 2016). The full range of different ways that a given population experiences a phenomenon at any point in time is termed the outcome space (Åkerlind, 2005).

When is it ideal to use phenomenography in education research?

Phenomenography can help educators to identify and foster learning approaches that facilitate a better understanding of the subject material that students are engaging with. This is consistent with research findings suggesting that different learning approaches lead to different learning outcomes (Marton, 1986).

Finally, what are the methods typically used in phenomenography?

Phenomenography is best viewed as a methodology whereby the actual methods used in carrying out the research vary according to the specific question being addressed (Booth, 2001). Typical data collection methods include semi-structured interviews, open-ended questionnaires, written reports, video, think-aloud methods, and observation (Booth, 2001; Han & Ellis, 2019).

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Picked for Engineering Learning & Teaching: How-To

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/engineeringedu-press

Cite this score: Engagemii (2026). "AEO Score for Engineering Learning & Teaching." Retrieved from https://engagemii.com/aeo/brands/engineeringedu-press

Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.

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