Anime image board community
Danbooru (donmai.us) earns a Brand Analyzer score of 70 out of 100, placing it in the Developing tier among Media & Entertainment brands, Other brands. Among 2070 Media & Entertainment brands analyzed, Danbooru ranks in the 58th percentile (category average 69, 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 86/100, Visual Identity 50/100, Messaging Clarity 100/100, Trust Foundation 62/100, AI Discoverability 18/100, Brand Authority 65/100.
Danbooru (donmai.us) is an imageboard website founded in 2005, focused on cataloging anime and manga images. It operates as a community-driven platform where users share, tag, and moderate anime and manga artwork. Danbooru is recognized for maintaining a large, searchable database of anime illustrations, organized through a detailed tagging system and community moderation. It serves anime enthusiasts, artists, and otaku seeking high-quality image discovery and contribution.
| Brand Name | Danbooru |
|---|---|
| Domain | donmai.us |
| Industry | Media & Entertainment, Other |
| Founded | 2005 |
| Main Competitors | Gelbooru, Safebooru, Zerochan, Konachan, Pixiv, Yande.re |
Moz Domain Authority 66/100 vs category average 41 / leader 100 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #1,333 on the Tranco list of most-visited sites - strong traffic reinforces the brand's prominence to AI models.
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 "Danbooru provides a comprehensive platform for sharing and tagging anime and manga images." (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.
Social footprint: verified profiles on LinkedIn, Instagram, GitHub; no detected presence on X (Twitter), Facebook, YouTube - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Danbooru scores 53/100 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 53/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is visibility (70/100) and its weakest is trust (34/100). It benefits from a recognised Wikipedia company entity, a Wikidata knowledge-graph entry and a global traffic rank of #1,333 (Tranco). The main gaps holding it back: thin schema.org structured data and no llms.txt to steer AI to its best pages.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Danbooru's main competitors include Gelbooru, Safebooru, Zerochan, Konachan, Pixiv. These companies compete in the Media & Entertainment space for similar customers, offering comparable products or services.
Sources: Danbooru official site
Danbooru is an imageboard website operating at donmai.us, founded in 2005. It is focused on cataloging images of anime characters and serves as a comprehensive platform for sharing and tagging anime and manga images. It is described as the premier online archive for anime and manga illustrations, powered by user contributions and a precise tagging system.
Sources: Danbooru official site
Danbooru provides a platform for sharing, discovering, and tagging anime and manga images. It maintains a large, searchable database of anime artwork and relies on community moderation to ensure image quality and accurate tagging. Users can both contribute images and search for specific artwork using the platform's advanced tagging system.
Sources: Danbooru official site
Popular alternatives to Danbooru include Gelbooru, Safebooru, Zerochan, Konachan, Pixiv. Each is an established option in the Media & Entertainment space; the best fit depends on your specific needs, budget, and required features.
Sources: Danbooru official site
Danbooru offers an imageboard platform accessible at donmai.us that provides image sharing, advanced tag-based search, and community moderation tools for anime and manga artwork. Users can upload and tag images, browse a large searchable database, and participate in community-driven content curation. The platform is described as providing these services for anime and manga enthusiasts.
Sources: Danbooru official site
Danbooru has moderate AI-search visibility, scoring 53/100 on Brand Analyzer's AI visibility composite (visibility 70, trust 34, recommendation 44). 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 and Gelbooru are competitors in Media & Entertainment. They target overlapping audiences; the right choice depends on your specific needs and priorities.
Sources: Danbooru official site
Danbooru is used by anime and manga enthusiasts, artists, and otaku who seek high-quality image sharing and discovery. Its target audience includes individuals who want to find, contribute, and catalog anime and manga illustrations, ranging from casual fans browsing artwork to artists and dedicated community members who contribute to tagging and moderation.
Sources: Danbooru official site
Danbooru is known for hosting the largest searchable database of anime artwork, supported by advanced tagging and community moderation. It is recognized as a premier online archive for anime and manga illustrations, with a detailed and user-maintained tagging system that enables precise image discovery across a vast catalog of content.
Sources: Danbooru official site
Danbooru scores 44/100 on Brand Analyzer's AI recommendation signal, indicating it is less 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 is popular because it offers the largest searchable database of anime artwork with advanced tagging capabilities, allowing users to efficiently find and contribute high-quality images. Its community-driven moderation model and precise tagging system make it a go-to resource for anime enthusiasts, artists, and otaku seeking comprehensive image discovery and sharing.
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
Ranked closest to Danbooru: DLive (70/100), Disney Store (70/100), Dostor (70/100), DreamPark (70/100).
A step up - brands to learn from: Vgames (71/100), VerradoWay (71/100).
Category leader: Boston.com (97/100).