AI Visibility Scorecard
datastewards.ie · Membership Organizations
Borderline visible. AI bots can crawl Irish Data Stewardship Network, 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
#66,482 of 93,003 in Membership Organizations for AI visibility
4
AEO Visibility
iNear-invisible · 3.9/10
5
Muse Index Score
iAI agent readiness
Basic · 5/100
0
AI Adoption
iNone detected · 0/100
from our crawl and measurement
Sonraí Irish Data Stewardship Network works in Membership Organizations. To AI engines like ChatGPT and Perplexity, though, it is barely visible: it scores 3.9 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.
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
Fair
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
Fair
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.
How the web signals your brand to AI
Backlinks
Weak
No inbound links found yet.
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.
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 3.9/10, Irish Data Stewardship Network is crawlable but under-signaled - fixable, and the signals above are where to start.
What is a FAIR Data Landscape?
FAIR stands for findable, accessible, interoperable and reusable. These principles are intended as guidelines for best practice in the management and stewardship of research data as open as possible but as closed as necessary. A FAIR data landscape recognises, facilitates, and rewards sharing and reusing valuable research data and various types of outputs.
What does a Data Steward do?
While there is no universally agreed definition of data stewardship, there is a variety of tasks and skills that are widely recognised as central to the role.
Is this your brand?
The exact fixes for Irish Data Stewardship Network
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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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Scored by Engagemii on September 28, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/datastewards-ie
Cite this score: Engagemii (2026). "AEO Score for Irish Data Stewardship Network." Retrieved from https://engagemii.com/aeo/brands/datastewards-ie
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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