Dados e narrativas da favela da Maré
data_labe (datalabe.org) scores 76 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Non-profit brands, Media & Entertainment brands, Education brands, in the 59th percentile of 27455 Non-profit brands.
data_labe is a Brazilian non-profit data and narrative laboratory based in the Maré favela, Rio de Janeiro. Founded by young residents of low-income urban communities, it produces research, training and communication strategies that turn data into narratives about rights, culture and democracy from a favela perspective. It targets residents of favelas, digital rights activists, researchers, journalists and organizations interested in territorial data and storytelling.
| Brand Name | data_labe |
|---|---|
| Domain | datalabe.org |
| Industry | Non-profit, Media & Entertainment |
| Founded | 2025 |
| Headquarters | Maré, Rio de Janeiro, Brazil |
| Main Competitors | Agência Mural (59/100), Ponte Jornalismo (78/100), Fogo Cruzado (69/100), InfoAmazonia (75/100), Nossas (62/100) |
Moz Domain Authority 42/100 vs category average 46 / leader 98 - limited third-party links, so AI systems rarely encounter mentions of the brand.
No Wikipedia presence was found - a major gap, since Wikipedia is among the most heavily weighted sources in AI training data.
The homepage meta description reads "O data_labe é um laboratório de dados e narrativas na favela da Maré - Rio de Janeiro. A equipe é composta por jovens moradores de territórios populares que produzem novas narrativ…" (Meta description: 35 words. OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 1 JSON-LD block(s), Organization schema, Breadcrumb/Website schema, og:title, og:description, og:image, og:type, Twitter cards, canonical. Adding FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt present, no AI bot restrictions - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Content is PT-only, limiting citation in English-language AI answers.
Detected tech stack: Cloudflare, WordPress, Ghost, Angular.
Social footprint: verified profiles on Instagram, X (Twitter), YouTube, GitHub, Facebook; no detected presence on LinkedIn - 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 November 2026.
When asked "What is data_labe?", Claude could not identify the brand as of November 2026. I don't recognize data_labe (datalabe.org) specifically, likely because it's a small or regional non-profit initiative without much presence in my training data.
When asked "Best brands similar to data_labe?", Claude would not surface data_labe as of November 2026. I can't recommend it since I don't have verified information about what it does or how it compares to similar organizations.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
data_labe's main competitors in Non-profit: Agência Mural (59/100), Ponte Jornalismo (78/100), Fogo Cruzado (69/100), InfoAmazonia (75/100), Nossas (62/100).
Sources: Brand Analyzer scan
data_labe has limited AI-search visibility, scoring 36/100 on Brand Analyzer's AI visibility composite (visibility 19, trust 51, recommendation 48). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: data_labe official site
data_labe was founded in 2025. data_labe operates in the Non-profit category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
data_labe scores 48/100 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.
Sources: data_labe official site
data_labe is a data and narrative laboratory based in the Maré favela of Rio de Janeiro, Brazil. It is a non-profit organization composed of young residents of low-income urban territories who use data to produce new narratives about their communities.
Sources: data_labe official site
data_labe conducts research, training and communication strategies that transform data into narratives about rights, culture and democracy, focusing on the perspective of favelas and peripheral communities. It aims to democratize access to data and technology for these communities.
Sources: data_labe official site
data_labe 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: data_labe official site
data_labe offers research projects, training programs (formações), and communication strategies centered on data literacy and narrative production, specifically tailored to favela and peripheral community contexts.
Sources: data_labe official site
data_labe is known for being a community-based data and narrative lab run by young people from Rio de Janeiro's Maré favela, producing research and storytelling that center the perspective of favelas and peripheral territories.
Sources: data_labe official site
data_labe's work is used by residents of favelas and peripheral communities, digital rights activists, researchers, journalists, and organizations interested in data and narratives about popular territories.
Sources: data_labe official site
data_labe scores 36/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
data_labe has a weak AI-visibility profile at 36/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is trust (51/100) and its weakest is visibility (19/100). It benefits from a Wikidata knowledge-graph entry, a Moz Domain Authority of 42/100 and open access for AI crawlers (GPTBot, ClaudeBot, etc.). The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data and no llms.txt to steer AI to its best pages. In a live check (November 2026), Claude could not identify data_labe from memory, confirming the gaps above.
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 data_labe: Daniel Kids (76/100), Donald Danforth Plant Science Center (76/100), Daughters of Charity (76/100), Durham Catholic District School Board (76/100).
A step up - brands to learn from: ZNetwork (81/100), ZLTO (81/100).
Category leader: Change.org (97/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.