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AI Visibility Scorecard
leadernet.aft.org · Nonprofits
Somewhat visible. AI bots can read Log in, but it is missing the structured signals that push citation rate above competitors.
Monitoring for AI engine activity
In the Engagemii AEO index
#5,420 of 621,859 in Nonprofits for AI visibility
6.7
/10
AEO Score
from our crawl and measurement
"If you haven't logged in for a while, your previous credentials may not work." That is how Log in of Washington, DC introduces itself. Its AI visibility score is 6.7 out of 10: the engines can find it, but they do not have much to hold on to.
The site gets some of it right: it has a clearly stated business identity. What holds it back is what is absent, including structured data describing the business, credibility markers like credentials or reviews, the technical files AI engines look for, such as llms.txt or an open robots.txt.
Away from its own site, other sites link to it and it turns up in press coverage. On the other hand AI engines do not yet recognise it as a distinct business and it does not come up on Reddit.
Higher is better · 0-10
Structured Data
1
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
6
Clear headings and answer-style content.
Entity Clarity
7
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
1
Experience, Expertise, Authority, Trust markers.
Technical AEO
3
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
5
Sitemaps and entity links AI can follow.
How the web signals your brand to AI
Backlinks
8
Inbound links from other sites.
Domain Trust
5
Established authority for your domain.
Entity Presence
0
Not in AI knowledge graphs yet.
News Mentions
7
Press and news coverage.
Community
7
Forum and community discussion.
0
No Reddit mentions 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 6.7/10, Log in has a working base to build on - fixable, and the signals above are where to start.
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Scored by Engagemii on July 31, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/leadernet-aft-org
Cite this score: Engagemii (2026). "AEO Score for Log in." Retrieved from https://engagemii.com/aeo/brands/leadernet-aft-org
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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