Anime Image Board Community
Danbooru (donmai.us) earns a Brand Analyzer score of 72 out of 100, placing it in the Brand-Ready tier among Media & Entertainment brands, Other brands. Among 4937 Media & Entertainment brands analyzed, Danbooru ranks in the 36th percentile (category average 76, leader 97). 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. Dimension scores: Name Quality 96/100, Digital Presence 82/100, Visual Identity 45/100, Messaging Clarity 100/100, Trust Foundation 77/100, AI Discoverability 52/100, Brand Authority 52/100.
Danbooru (donmai.us) is an imageboard founded in 2005 that focuses on cataloging anime-related artwork. It uses a tag-based system to organize a large, community-contributed database of anime images, allowing users to search and discover artwork with precise detail. The platform serves anime fans, artists, and collectors seeking organized, searchable access to anime imagery, and is widely referenced as a resource for anime art tagging and datasets.
| Brand Name | Danbooru |
|---|---|
| Domain | donmai.us |
| Industry | Media & Entertainment, Other |
| Founded | 2005 |
| Main Competitors | Gelbooru (73/100), Konachan, Yande.re, Zerochan, e621 (83/100), Pixiv (93/100), Safebooru |
Moz Domain Authority 65/100 vs category average 52 / leader 100 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Danbooru has a dedicated Wikipedia entity - a top-weighted signal AI models rely on to identify and describe the brand.
The homepage meta description reads "? goddess of victory: nikke 45k" (Meta description: 6 words. OG description present but brief) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: og:title, og:description. 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 Instagram; no detected presence on X (Twitter), LinkedIn, Facebook, YouTube, GitHub - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Danbooru scores 49/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Danbooru has a limited AI-visibility profile at 49/100 - 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 (34/100). It benefits from a recognised Wikipedia company entity, a Wikidata knowledge-graph entry and a Moz Domain Authority of 65/100. 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 Danbooru from memory (August 2026) - a sign these signals are paying off.
Live results from asking a general-purpose AI assistant about the brand, checked August 2026.
When asked "What is Danbooru?", Claude could identify the brand as of August 2026. Danbooru is a large online anime and manga image board where users upload, tag, and search illustrations using a detailed collaborative tagging system. Best known for its extensive and highly detailed tagging system for anime/manga artwork, often used as a dataset source for image classification and AI art models.
When asked "Best brands similar to Danbooru?", Claude would recommend Danbooru as of August 2026. It's one of the most well-known and widely referenced anime image boards, especially valued for its tagging depth and use in AI training datasets.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Danbooru's main competitors include Gelbooru (73/100), Konachan, Yande.re, Zerochan, e621 (83/100). These companies compete in the Media & Entertainment space for similar customers, offering comparable products or services.
Sources: Brand Analyzer scan
Danbooru and e621 are competitors in Media & Entertainment. Brand Analyzer scores Danbooru at 72/100 and e621 at 83/100. They target overlapping audiences; the right choice depends on your specific needs and priorities.
Sources: Brand Analyzer scan
Popular alternatives to Danbooru include Gelbooru (73/100), Konachan, Yande.re, Zerochan, e621 (83/100). Each is an established option in the Media & Entertainment space; the best fit depends on your specific needs, budget, and required features.
Sources: Brand Analyzer scan
Danbooru is an imageboard, founded in 2005, that focuses on cataloging images of anime characters and artwork using a detailed tag-based system.
Sources: Danbooru official site
Danbooru has limited AI-search visibility, scoring 49/100 on Brand Analyzer's AI visibility composite (visibility 55, trust 34, recommendation 58). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Danbooru official site
Danbooru was founded in 2005. Danbooru operates in the Media & Entertainment category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
Danbooru offers a searchable, tag-based database of anime images, allowing users to browse, upload, and tag artwork according to detailed categories such as character, artist, series, and visual attributes.
Sources: Danbooru official site
Danbooru organizes and hosts a large database of anime-related images, allowing users to tag, search, and browse artwork based on detailed, community-generated tags covering characters, artists, series, and visual attributes.
Sources: Danbooru official site
Danbooru scores 58/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Media & Entertainment options. Recommendation depends on crawlability, structured data, and category authority; a Wikipedia presence helps.
Sources: Danbooru official site
Danbooru 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: Danbooru official site
Danbooru is used by anime fans, artists, and collectors who want to search, reference, or curate anime-related artwork using its detailed tagging system.
Sources: Danbooru official site
Danbooru is known for its extensive, community-driven tagging system that allows precise search and discovery of anime artwork, making it a widely referenced resource for anime image datasets and fan art cataloging.
Sources: Danbooru official site
Danbooru is popular among anime fans and artists because of its comprehensive, precisely tagged image database, which allows for detailed search and discovery of anime artwork by character, series, artist, or visual attributes not easily found elsewhere.
Sources: Danbooru official site
Ranked closest to Danbooru: Dom (72/100), DMGT (72/100), Dota2.net (72/100), DoubleDown Interactive (72/100).
A step up - brands to learn from: Zeno Group (81/100), Zadar Tourist Board (81/100).
Category leader: Complex (97/100).