AI Visibility Scorecard
docs.casrai.org · Nonprofits
Borderline visible. AI bots can crawl CASRAI, 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 · Meta AI
#13,842 of 827,750 in Nonprofits for AI visibility
73
AI Naming Predictability
iNamed occasionally · 73/100
Nonprofits average 9
Top 1% of Nonprofits
See what's behind this score →4.9
-
Network Authority
iNot connected yet
0 relationships on record. Businesses in Nonprofits average 2. Claim your page and Engagemii is your first.
See what's behind this score →45
Muse Index Score
iAI agent readiness
Agent-ready · 45/100
Nonprofits average 14
See what's behind this score →?
from docs.casrai.org
All 14 CRediT contributor roles with official definitions, plus how to write an author contribution statement and the ANSI/NISO Z39.104-2022 standard.
Strong · Good · Fair · Weak
Structured Data
Strong
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
Strong
Experience, Expertise, Authority, Trust markers.
Technical AEO
Good
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
Strong
Sitemaps and entity links AI can follow.
How the web signals your brand to AI
Backlinks
Strong
Inbound links from other sites.
Domain Authority
Fair
Established authority for your domain.
Reference Presence
Strong
Recognized in AI knowledge graphs.
News & Press
Good
Press and news coverage.
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 read your site and name it in answers. At 4.9/10, CASRAI is crawlable but under-signaled - fixable, and the signals above are where to start.
What is CRediT?
The Contributor Roles Taxonomy. Fourteen standardised roles for what each person actually contributed to a research output. Replaces the opaque “first author / corresponding author” convention with machine-readable, byline-level credit. ANSI/NISO Z39.104-2022 made it a formal US national standard.Four functional categories
How to use CRediT — in 60 seconds?
The minimum-viable workflow for adopting CRediT on a manuscript or research output has four steps. Most submission systems now collect CRediT structurally so you do not need to format anything by hand — but knowing the underlying flow helps you produce clean statements and check what the journal exports downstream.Identify contributors.
CRediT vs traditional authorship — what's different?
The most common source of confusion about CRediT is the assumption that it competes with — or replaces — the established authorship criteria used by medical and scientific journals. It does not. CRediT supplements traditional authorship; it does not supersede it.
Is this your brand?
The exact fixes for CASRAI
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When a buyer asks ChatGPT which company to use, two different things can happen. ChatGPT can name a company in its answer. Or it can link to a web page as a source. Most advice about AI visibility is about the second one. Our data says the first one is what matters.
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Scored by Engagemii on September 8, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/docs-casrai-org
Cite this score: Engagemii (2026). "AEO Score for CASRAI." Retrieved from https://engagemii.com/aeo/brands/docs-casrai-org
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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