AI Visibility Scorecard
Daniel Stone
fooishbar.org · Technology
Borderline visible. AI bots can crawl Daniel Stone, 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 14 times
Meta AI · Claude · Apple Intelligence
#566,305 of 2,705,593 in Technology for AI visibility
12
AI Naming Predictability
iNamed occasionally · 12/100
More likely to be named than 94% of Technology companies
5
AEO Visibility
iBorderline · 4.7/10
5
Muse Index Score
iAI agent readiness
Basic · 5/100
0
AI Adoption
iNone detected · 0/100
About Daniel Stone
from our crawl and measurement
Daniel Stone describes itself simply: "Toggle navigation Daniel Stone About me Introducing freedesktop.org GitLab Posted on July 29, 2018 This is quite a long post." To AI engines like ChatGPT and Perplexity, though, it is barely visible: it scores 4.7 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.
AI crawlers have visited 3 times in our tracking, including Meta AI and ClaudeBot (Anthropic).
The 6 signals AI reads
Strong · Good · Fair · Weak
Structured Data
Weak
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
Fair
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
Weak
Experience, Expertise, Authority, Trust markers.
Technical AEO
Fair
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
Weak
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
Fair
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 4.7/10, Daniel Stone is crawlable but under-signaled - fixable, and the signals above are where to start.
Frequently Asked Questions
xkbcommon: what is it?
Posted on April 9, 2013 So, in my earlier post, I mentioned that I’d been working on a library called xkbcommon. Since it’s got a massively misleading name (and renaming hasn’t been totally ruled out yet …), it’s probably worth an introductory post. tl;dr: It loads XKB keymaps and can manage tricky things like modifier state for you. tell me more! At its core, xkbcommon is nothing to do, as you might think, with X11.
Is this your brand?
The exact fixes for Daniel Stone
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 Daniel Stone.
Source & Attribution
Scored by Engagemii on July 31, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/fooishbar-org
Cite this score: Engagemii (2026). "AEO Score for Daniel Stone." Retrieved from https://engagemii.com/aeo/brands/fooishbar-org
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