Mapping Together for Humanitarian Action
Missing Maps (missingmaps.org) scores 76 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Non-profit brands, Technology brands, in the 52nd percentile of 18514 Non-profit brands.
Missing Maps is an open, collaborative humanitarian mapping project founded in 2014 that uses satellite imagery and OpenStreetMap to create detailed maps of vulnerable, under-mapped areas affected by disasters and crises. It combines remote volunteer mapping with community-driven field data collection, producing open-source geographic information that humanitarian organizations and local communities can use to plan disaster response, risk reduction, and relief efforts worldwide.
| Brand Name | Missing Maps |
|---|---|
| Domain | missingmaps.org |
| Industry | Non-profit, Technology |
| Founded | 2014 |
| Main Competitors | Humanitarian OpenStreetMap Team (73/100), OpenStreetMap (88/100), Ushahidi (77/100), MapAction (78/100), Mapillary (85/100), Standby Task Force (70/100) |
Moz Domain Authority 54/100 vs category average 48 / leader 95 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #1,006,033 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
Missing Maps has a dedicated Wikipedia entity - a top-weighted signal AI models rely on to identify and describe the brand.
The homepage meta description reads "Missing Maps is a project that uses satellite imagery and OpenStreetMap to map areas where disasters and crises affect people." (Meta description: 20 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: og:title, og:description, og:image, og:type, Twitter cards. 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.
Social footprint: verified profiles on Facebook, Instagram, LinkedIn, GitHub, X (Twitter), YouTube - 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 Missing Maps?", Claude could identify the brand as of October 2026. Missing Maps is a humanitarian mapping project launched by the American Red Cross, British Red Cross, Humanitarian OpenStreetMap Team (HOT), and Medecins Sans Frontieres, which recruits volunteers to map vulnerable areas on OpenStreetMap so that local and international responders Best known for crowdsourcing volunteer mapping on OpenStreetMap to support humanitarian aid and disaster response in under-mapped regions.
When asked "Best brands similar to Missing Maps?", Claude would recommend Missing Maps as of October 2026. It's a well-known and widely respected example of volunteer-driven humanitarian mapping, so it fits naturally if someone asks about similar nonprofit or open-data mapping initiatives.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Missing Maps's main competitors in Non-profit: Humanitarian OpenStreetMap Team (73/100), OpenStreetMap (88/100), Ushahidi (77/100), MapAction (78/100), Mapillary (85/100).
Sources: Brand Analyzer scan
Missing Maps provides open-source mapping data created through remote volunteer mapping of satellite imagery combined with community-driven field data collection, resulting in detailed maps of vulnerable areas for use by humanitarian responders and local communities.
Sources: Missing Maps official site
Missing Maps is an open, collaborative humanitarian mapping project, founded in 2014, that uses satellite imagery and OpenStreetMap to map areas vulnerable to disasters and crises. It is categorized as a non-profit technology initiative.
Sources: Missing Maps official site
Missing Maps has limited AI-search visibility, scoring 48/100 on Brand Analyzer's AI visibility composite (visibility 63, trust 29, recommendation 44). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Missing Maps official site
Missing Maps was founded in 2014. Missing Maps operates in the Non-profit category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
Missing Maps creates detailed, open-source maps of at-risk and under-mapped areas by combining remote volunteer mapping of satellite imagery with community-driven field data collection. These maps provide humanitarian organizations and local communities with critical geographic information to support disaster risk reduction and crisis response.
Sources: Missing Maps official site
Missing Maps scores 44/100 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: Missing Maps official site
Missing Maps is known for mobilizing volunteer mappers worldwide to trace satellite imagery into OpenStreetMap data, filling in gaps for regions that lack adequate maps and are prone to disasters or humanitarian crises.
Sources: Missing Maps official site
Missing Maps 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: Missing Maps official site
Missing Maps is used by volunteer mappers who contribute to mapping efforts, as well as humanitarian organizations, local communities, and disaster response agencies that rely on the resulting geographic data to plan and execute crisis response.
Sources: Missing Maps official site
Missing Maps scores 48/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Missing Maps has a limited AI-visibility profile at 48/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is visibility (63/100) and its weakest is trust (29/100). It benefits from a recognised Wikipedia company entity, a Wikidata knowledge-graph entry and a global traffic rank of #1,006,033 (Tranco). 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 Missing Maps 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 Missing Maps: Ministry Grid (76/100), Ministry Designs (76/100), MLCommons (76/100), MNBC (76/100).
A step up - brands to learn from: Zero Project (81/100), Youth Villages (81/100).
Category leader: Change.org (97/100).
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