AI Visibility Scorecard
DAGitty
dagitty.net · Technology
Borderline visible. AI bots can crawl DAGitty, 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 3 times
Claude · ChatGPT
#860,028 of 2,705,506 in Technology for AI visibility
<1
4
AEO Visibility
iBorderline · 4.2/10
0
Muse Index Score
iAI agent readiness
Not agent-ready · 0/100
0
AI Adoption
iNone detected · 0/100
About DAGitty
from our crawl and measurement
DAGitty works in Technology. To AI engines like ChatGPT and Perplexity it is partially visible, scoring 5.2 out of 10, readable in places, missing in others.
Almost none of the machinery AI engines read is present, including structured data describing the business, an llms.txt file, a sitemap.
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
Weak
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
Fair
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
Fair
Sitemaps and entity links AI can follow.
Off-page authority
How the web signals your brand to AI
Backlinks
Weak
No inbound links found yet.
Domain Authority
Fair
Established authority for your domain.
Reference Presence
Weak
Not in AI knowledge graphs yet.
News & Press
Weak
No press coverage found yet.
Community
Good
Forum and community discussion.
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, DAGitty is crawlable but under-signaled - fixable, and the signals above are where to start.
Frequently Asked Questions
How can I get help?
If you encounter any problems using DAGitty, or would like to have a certain feature implemented, write to me on Mastodon, post on github or write to "johannes {dot} textor {at} gmx {dot} de". Your feedback and bug reports are very welcome and contribute to making DAGitty a better experience for everyone. Past contributors are acknowledged in the manual.
How can I cite DAGitty?
If you use DAGitty in your scientific work, please consider citing us: Johannes Textor, Benito van der Zander, Mark K. Gilthorpe, Maciej Liskiewicz, George T.H. Ellison. Robust causal inference using directed acyclic graphs: the R package 'dagitty'. International Journal of Epidemiology 45(6):1887-1894, 2016. PDF postprint
How can I learn more about how DAGitty works?
The algorithms used in DAGitty are described in more depth the following papers: Johannes Textor, Maciej Liśkiewicz. Adjustment Criteria in Causal Diagrams: An Algorithmic Perspective.
What other related software is out there?
There is currently quite a lot of activity in causal inference software. A few links: ggdag is a nice R package based on dagitty but tidyverse-compatible and with much better plotting functionality. shinydag is another GUI aimed at visualizing DAGs and exporting them in different publication-ready formats. TETRAD DAG program dagR daggle is a shiny app where you can practice the rules of DAG-based covariate selection.
Is this your brand?
The exact fixes for DAGitty
Which AI engines already crawl you
Free AI bot monitoring: see every AI crawler that visits you
Already have an account? Sign in
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 portalFree signup unlocks the full article plus your personalized AEO fix list for DAGitty.
Source & Attribution
Scored by Engagemii on July 31, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/dagitty-net
Cite this score: Engagemii (2026). "AEO Score for DAGitty." Retrieved from https://engagemii.com/aeo/brands/dagitty-net
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