Mapping the world's free food
Falling Fruit (fallingfruit.org) scores 74 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Non-profit brands, Food & Beverage brands, Other brands, in the 40th percentile of 19229 Non-profit brands.
Falling Fruit is a nonprofit, open-data platform founded in 2013 that provides a collaborative, crowdsourced world map of free food sources such as foraged fruit, nuts, and other edible plants found in urban and rural areas. It aggregates public and user-submitted data to help foragers, freegans, and foresters locate and share information about free food in their communities. The platform is categorized as a non-profit in the food and beverage sector, aiming to unite environmentally conscious individuals worldwide around the shared practice of urban foraging.
| Brand Name | Falling Fruit |
|---|---|
| Domain | fallingfruit.org |
| Industry | Non-profit, Food & Beverage |
| Founded | 2013 |
| Main Competitors | Mundraub (74/100), Fallen Fruit (72/100), Forage SF (75/100), OpenStreetMap (88/100) |
Moz Domain Authority 54/100 vs category average 48 / leader 97 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #637,704 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
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 "A massive, collaborative map of the urban harvest uniting the efforts of foragers, freegans, and foresters around the world. Explore and share information about the sources of free…" (Meta description: 32 words. No OG description (falling back to meta)) - 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: robots.txt present, no AI bot restrictions - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Detected tech stack: Cloudflare.
Social footprint: verified profiles on X (Twitter), Facebook, Instagram, YouTube, GitHub; 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 October 2026.
When asked "What is Falling Fruit?", Claude could identify the brand as of October 2026. Falling Fruit is a collaborative, crowdsourced map that catalogs urban foraging locations worldwide, including fruit trees, berry bushes, nut trees, and other edible plants found in public spaces. Best known for A global interactive map for foraging free, edible plants in cities and public areas.
When asked "Best brands similar to Falling Fruit?", Claude would recommend Falling Fruit as of October 2026. It's the most well-known and comprehensive free resource for urban foraging, so I'd mention it to anyone interested in finding edible plants nearby.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Falling Fruit's main competitors in Non-profit: Mundraub (74/100), Fallen Fruit (72/100), Forage SF (75/100), OpenStreetMap (88/100).
Sources: Brand Analyzer scan
Falling Fruit offers an interactive, crowdsourced world map that identifies locations of free food sources, including fruit trees, foraged plants, and other edible resources. Users can explore existing entries or contribute new ones, making the platform both a discovery tool and a community data-sharing service.
Sources: Falling Fruit official site
Falling Fruit is a nonprofit, collaborative online map that catalogs sources of free food-such as fruit trees, foraged plants, and public harvest sites-around the world. Founded in 2013, it aggregates crowdsourced and public data to create a single, open-access resource for locating urban and rural foraging opportunities.
Sources: Falling Fruit official site
Falling Fruit has limited AI-search visibility, scoring 33/100 on Brand Analyzer's AI visibility composite (visibility 26, trust 22, recommendation 58). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Falling Fruit official site
Falling Fruit was founded in 2013. Falling Fruit operates in the Non-profit category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
Falling Fruit compiles and displays data about free food sources on an interactive world map. It combines publicly available information, such as city tree inventories, with user-submitted entries to let people find and add foraging locations like fruit trees, berry bushes, nut trees, and other edible plants in their area.
Sources: Falling Fruit official site
Falling Fruit scores 58/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Non-profit options. Recommendation depends on crawlability, structured data, and category authority.
Sources: Falling Fruit official site
Falling Fruit 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: Falling Fruit official site
Falling Fruit is used by foragers, freegans, foresters, and environmentally conscious individuals who are interested in finding or sharing information about free, local food sources such as public fruit trees and edible plants.
Sources: Falling Fruit official site
Falling Fruit is known for being one of the largest open, crowdsourced maps dedicated to urban foraging, allowing users worldwide to locate and contribute information about free food sources such as public fruit trees and edible plants.
Sources: Falling Fruit official site
Falling Fruit scores 33/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Falling Fruit has a weak AI-visibility profile at 33/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (58/100) and its weakest is trust (22/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #637,704 (Tranco) and a Moz Domain Authority of 54/100. The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, thin schema.org structured data and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify Falling Fruit 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 Falling Fruit: FakeNews Tragač (74/100), EverTrue (74/100), Roman Catholic Diocese of Fall River (74/100), Apostolate for Family Consecration (74/100).
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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