AI Visibility Scorecard
data.wiki · Technology
Borderline visible. AI bots can crawl Data.wiki, 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 2 times
Claude
#2,265,831 of 2,705,505 in Technology for AI visibility
<1
4
AEO Visibility
iNear-invisible · 3.5/10
30
Muse Index Score
iAI agent readiness
Basic · 30/100
0
AI Adoption
iNone detected · 0/100
from our crawl and measurement
Data.wiki is a business whose own site puts it this way: "A pragmatic approach to learning Data & Analytics holistically, including technology, processes, and people." When AI engines look at it, they find little to work with. It scores 3.5 out of 10.
Our crawl found structured data on the page (WebSite, Organization, WebPage), an llms.txt file for AI models and a sitemap.
AI crawlers have visited 2 times in our tracking, including ClaudeBot (Anthropic).
Strong · Good · Fair · Weak
Structured Data
Fair
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
Fair
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 3.5/10, Data.wiki is crawlable but under-signaled - fixable, and the signals above are where to start.
What is DataWiki?
DataWiki is an open platform that aims to provide a pragmatic approach to learning Data & Analytics, including important non-technical aspects such as business context, management, and more.
Why DataWiki?
DataWiki is an initiative from AEDI, a data and analytics consultancy. It is born out of the idea to extend product documentation with pragmatic projects and workshops, while keeping to documentation style content which is familiar to the community. We believe in the power of applying principles, standards, and methodologies which are much more sustainable and long-lasting than specific technical knowledge.
What content is available on DataWiki?
At the moment, it exists in this lightweight documentation form and is meant to be a mix between theoretical and practical learning, with a focus on the latter.
How is DataWiki content structured?
Every project and workshop includes a GitHub Codespace that can be used to run through the project or workshop which includes data, code, pre-installed applications, and other resources.
Is this your brand?
The exact fixes for Data.wiki
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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 30, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/data-wiki
Cite this score: Engagemii (2026). "AEO Score for Data.wiki." Retrieved from https://engagemii.com/aeo/brands/data-wiki
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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