Building safer, healthier communities
Communities That Care (communitiesthatcare.net) scores 71 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Non-profit brands, Education brands, Healthcare brands, in the 28th percentile of 23213 Non-profit brands.
Communities That Care is a program affiliated with the U.S. Center for Substance Abuse Prevention that provides a research-based, community-driven framework for preventing youth problem behaviors. It helps local coalitions, schools, nonprofits, and public health officials identify risk factors specific to their communities and implement evidence-based prevention strategies to promote healthy youth development. The program emphasizes data-driven decision-making and collaborative, localized approaches to reducing substance abuse and other youth behavioral problems.
| Brand Name | Communities That Care |
|---|---|
| Domain | communitiesthatcare.net |
| Industry | Non-profit, Education |
| Parent Company / Owner | US Center for Substance Abuse Prevention |
| Main Competitors | CADCA (Community Anti-Drug Coalitions of America) (85/100), Search Institute (77/100), PROSPER, Strengthening Families Program (57/100), SAMHSA Strategic Prevention Framework (76/100) |
Moz Domain Authority 41/100 vs category average 47 / leader 98 - limited third-party links, so AI systems rarely encounter mentions of the brand.
Communities That Care has a dedicated Wikipedia entity - a top-weighted signal AI models rely on to identify and describe the brand.
The homepage meta description reads "To help communities prevent youth problem behaviors by promoting healthy development through data-driven, community-based prevention strategies." (No meta description) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: No structured data or Open Graph tags detected. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: No robots.txt found (default: all bots allowed, but explicit file preferred) - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Detected tech stack: Cloudflare.
Social footprint: verified profiles on Facebook, Instagram, YouTube; no detected presence on X (Twitter), LinkedIn, GitHub - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Live results from asking a general-purpose AI assistant about the brand, checked October 2026.
When asked "What is Communities That Care?", Claude could identify the brand as of October 2026. Communities That Care (CTC) is a prevention operating system developed by researchers J. David Hawkins and Richard Catalano that helps communities use epidemiological data on risk and protective factors to choose and implement evidence-based programs to prevent youth problem beha Best known for A structured, data-driven community prevention planning framework used nationwide to reduce youth risk behaviors through evidence-based programming.
When asked "Best brands similar to Communities That Care?", Claude would recommend Communities That Care as of October 2026. It's a widely cited and research-backed prevention framework used by public health and youth services organizations, so it would naturally come up when discussing effective community prevention models.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Communities That Care's main competitors in Non-profit: CADCA (Community Anti-Drug Coalitions of America) (85/100), Search Institute (77/100), Strengthening Families Program (57/100), SAMHSA Strategic Prevention Framework (76/100).
Sources: Brand Analyzer scan
Communities That Care has limited AI-search visibility, scoring 39/100 on Brand Analyzer's AI visibility composite (visibility 53, trust 19, recommendation 38). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Communities That Care official site
Communities That Care scores 38/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Non-profit options. Recommendation depends on crawlability, structured data, and category authority; a Wikipedia presence helps.
Sources: Communities That Care official site
Communities That Care is a program affiliated with the U.S. Center for Substance Abuse Prevention that offers a research-based framework for preventing youth problem behaviors through community-based, data-driven prevention strategies.
Sources: Communities That Care official site
Communities That Care can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.
Sources: Communities That Care official site
Communities That Care provides a prevention framework and associated tools that help communities assess risk factors, select evidence-based prevention programs, and implement coordinated strategies to reduce youth problem behaviors and promote healthy development.
Sources: Communities That Care official site
Communities That Care is used by community leaders, coalitions, nonprofit organizations, schools, and public health officials who focus on youth development and the prevention of problem behaviors such as substance abuse.
Sources: Communities That Care official site
Communities That Care is known for providing a structured, evidence-based prevention framework that empowers local coalitions to use data on community-specific risk factors to select and implement proven youth prevention programs.
Sources: Communities That Care official site
Communities That Care scores 39/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Communities That Care has a weak AI-visibility profile at 39/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is visibility (53/100) and its weakest is trust (19/100). It benefits from a recognised Wikipedia company entity, a Wikidata knowledge-graph entry and a Moz Domain Authority of 41/100. The main gaps holding it back: thin schema.org structured data and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify Communities That Care from memory (October 2026) - a sign these signals are paying off.
The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark.
Ranked closest to Communities That Care: Commercial Drone Alliance (71/100), Grand Comics Database (71/100), Conception Abbey (71/100), Conference of Presidents of Major American Jewish Organizations (71/100).
A step up - brands to learn from: ZNetwork (81/100), ZLTO (81/100).
Category leader: Change.org (97/100).
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