AI Visibility Scorecard
featureql.org · Nonprofits
Borderline visible. AI bots can crawl FeatureQL, 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
#734,822 of 826,723 in Nonprofits for AI visibility
3
AEO Visibility
iNear-invisible · 3.2/10
0
Muse Index Score
iAI agent readiness
Not agent-ready · 0/100
4
AI Adoption
iBasic · 4/100
from our crawl and measurement
FeatureQL a language for defining business logic as features describes itself simply: "Define reusable calculations over columns, catch invalid relationships before execution, and run the same FeatureQL definitions in batch analytics or real-time serving." To AI engines like ChatGPT and Perplexity, though, it is barely visible: it scores 3.2 out of 10.
Our crawl found a readable heading structure. It is missing structured data describing the business, an llms.txt file and a sitemap.
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.
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 3.2/10, FeatureQL is crawlable but under-signaled - fixable, and the signals above are where to start.
Why use FeatureQL?
Business logic tends to spread across queries, models, and services. FeatureQL gives each calculation a name, a type, and explicit dependencies. Declarative Specify what, not how. No boilerplate. Logic is decoupled from storage or optimization.
Is this your brand?
The exact fixes for FeatureQL
Which AI engines already crawl you
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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 October 1, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/featureql-org
Cite this score: Engagemii (2026). "AEO Score for FeatureQL." Retrieved from https://engagemii.com/aeo/brands/featureql-org
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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