AI VISIBILITY SCOREAS OF 2026-09-18 · ENGAGEMII INDEX
3.7/ 10

SCORE HISTORY BEGINS 2026-09-18

SCORED BY THE SAME PIPELINE AS 54M+ COMPANIES · SIX ON-PAGE SIGNALS + OFF-PAGE AUTHORITYCHECK ANOTHER SITE →THE INDEX →

⚡ This is your brand? Claim your page FREE and bring it to life on AI search.

AI Visibility Scorecard

Institute of Landscape and Urban Studies (LUS), ETH Zürich

Institute of Landscape and Urban Studies (LUS), ETH Zürich

Unclaimed

delusjournal.com · Other

Borderline visible. AI bots can crawl Institute of Landscape and Urban Studies (LUS), ETH Zürich, 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.

Monitoring for AI engine activity

In the Engagemii AEO index

4

AEO Visibility

i

Near-invisible · 3.7/10

40

Muse Index Score

i

AI agent readiness

Agent-ready · 40/100

0

AI Adoption

i

None detected · 0/100

Share

About Institute of Landscape and Urban Studies (LUS), ETH Zürich

from our crawl and measurement

DELUS Journal for Landscape and Urban Studies is a business whose own site puts it this way: "Forthcoming spring 2027 issue of DELUS, on phenological change, ecological precarity, and seasonal shift in landscape and urban studies." To AI engines like ChatGPT and Perplexity, though, it is barely visible: it scores 3.7 out of 10.

Our crawl found structured data on the page (Periodical, Organization, Book) and a sitemap. It is missing an llms.txt file and a heading structure that lays out what it offers.

Industry · Other
Last scored · Sep 18, 2026

The 6 signals AI reads

Higher is better · 0-10

Structured Data

5

Organization / LocalBusiness JSON-LD that AI can read.

Content Structure

5

Clear headings and answer-style content.

Entity Clarity

6

How clearly your brand identity reads to AI.

E-E-A-T Signals

Experience, Expertise, Authority, Trust

1

Experience, Expertise, Authority, Trust markers.

Technical AEO

7

robots.txt, llms.txt, and AI-bot crawl access.

AI Discoverability

6

Sitemaps and entity links AI can follow.

Off-page authority

How the web signals your brand to AI

Backlinks

1

Inbound links from other sites.

Domain Authority

0

Little domain authority yet.

Reference Presence

0

Not in AI knowledge graphs yet.

News & Press

0

No press coverage found yet.

Community

0

No community discussion yet.

Social Mentions

0

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 3.7/10, Institute of Landscape and Urban Studies (LUS), ETH Zürich is crawlable but under-signaled - fixable, and the signals above are where to start.

Is this your brand?

The exact fixes for Institute of Landscape and Urban Studies (LUS), ETH Zürich

Which AI engines already crawl you

Free AI bot monitoring: see every AI crawler that visits you

Already have an account? Sign in

Picked for Institute of Landscape and Urban Studies (LUS), ETH Zürich: 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.

Continue reading in your free Engagemii portal

Free signup unlocks the full article plus your personalized AEO fix list for Institute of Landscape and Urban Studies (LUS), ETH Zürich.

Source & Attribution

Scored by Engagemii on September 18, 2026. Methodology: engagemii.com/aeo/methodology

Source URL: https://engagemii.com/aeo/brands/delusjournal

Cite this score: Engagemii (2026). "AEO Score for Institute of Landscape and Urban Studies (LUS), ETH Zürich." Retrieved from https://engagemii.com/aeo/brands/delusjournal

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

Powered by Engagemii - The Answer Engine Optimization (AEO) Platform