AI Visibility Scorecard
communityovercode.com · Nonprofits
Somewhat visible. AI bots can read Community Over Code, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 6 times
Meta AI · Claude
#37,832 of 826,674 in Nonprofits for AI visibility
6
AEO Visibility
iVisible · 6.1/10
35
Muse Index Score
iAI agent readiness
Agent-ready · 35/100
0
AI Adoption
iNone detected · 0/100
from our crawl and measurement
Community Over Code works in Nonprofits. To AI engines like ChatGPT and Perplexity it is partially visible, scoring 6.1 out of 10, readable in places and missing in others.
Our crawl found structured data on the page (CollectionPage, BreadcrumbList, WebSite), a sitemap and a readable heading structure. It is missing an llms.txt file.
AI crawlers have visited 2 times in our tracking, including ClaudeBot (Anthropic) and Meta AI.
Strong · Good · Fair · Weak
Structured Data
Good
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
Weak
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
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.
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 6.1/10, Community Over Code has a working base to build on - fixable, and the signals above are where to start.
Do You Work With Nonprofit Finances?
If so, let’s chat. In another life I’m involved with a hyperlocal nonprofit news website, so I’ve been relying on ProPublica and various scraping tools to help build up some pictures of local news organization finances. While ProPublica is great for top-line fields in 990s, it takes work to XPath your way into the guts of 990 schedules.
Where is sustainability for individuals?
I’ve been reading papers on “sustainability” frameworks of shared definitions, and was struck in many of the sections on Stakeholders. We think about the various FOSS projects, about the big industry players, about the rest of the user base commercial companies, and even about public policy. And yes, we do talk about “pay the maintainers”, and there are several organizations solidly devoted to that problem.
But what about volunteer individual coders as a class?
Much of open source contribution is done in small chunks by individuals “scratching their own itch” to fix a bug or add a new feature they happen to need. While some of this is done in conjunction with a job or a college class, some of it still done just because the coder wanted to get it done, not necessarily to get paid or a better grade.
How can we classify all these individuals?
Software industry career workers, who will likely have many different roles in a career. They may sometimes lead projects, and often will make significant investments over time. They may often have a holistic perspective on FOSS components in relation to their business, so often are very conscious of what they open source, and what is proprietary.
What messaging can we use to encourage individuals?
These groups are obviously quite diverse in other characteristics, and include millions of people, so it’s difficult (except perhaps in public policy spheres over years) to directly influence them. But we certainly need to include this concept in discussions about sustainability.
Is this your brand?
The exact fixes for Community Over Code
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Your potential customers are asking ChatGPT, Gemini, and Claude questions about your product category. These AI models are giving answers without sending traffic to your website. You're not losing rank. You're losing visibility entirely.
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Scored by Engagemii on August 9, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/communityovercode
Cite this score: Engagemii (2026). "AEO Score for Community Over Code." Retrieved from https://engagemii.com/aeo/brands/communityovercode
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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