Open registry for identifier resolution
Bioregistry (bioregistry.io) scores 70 out of 100 on Brand Analyzer, placing it in the Developing tier among Technology brands, Education brands, Healthcare brands, in the 24th percentile of 53720 Technology brands.
Bioregistry (bioregistry.io) is an open source, community-curated registry, meta-registry, and compact identifier (CURIE) resolver designed for the scientific community. It aggregates and standardizes identifier schemes used across biomedical and life science databases, enabling consistent resolution of compact identifiers. Targeted at researchers, developers, and data curators in life sciences and biomedical informatics, it combines registry, meta-registry, and resolver functions into a single open platform to simplify identifier use and interoperability.
| Brand Name | Bioregistry |
|---|---|
| Domain | bioregistry.io |
| Industry | Technology, Education |
| Main Competitors | Identifiers.org (63/100), Name-to-Thing (N2T) (71/100), FAIRsharing (74/100), OBO Foundry (66/100) |
Moz Domain Authority 28/100 vs category average 39 / leader 100 - limited third-party links, so AI systems rarely encounter mentions of the brand.
Ranked #903,499 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 "An open source, community curated registry, meta-registry, and compact identifier (CURIE) resolver." (Meta description: 12 words (ideal length). No OG description (falling back to meta)) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 1 JSON-LD block(s), Organization schema. Adding 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.
Detected tech stack: Vue.
Social footprint: verified profiles on GitHub, X (Twitter), Facebook, Instagram; no detected presence on LinkedIn, 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 Bioregistry?", Claude could identify the brand as of October 2026. Bioregistry is an open-source, community-curated registry that provides a comprehensive collection of prefixes and metadata for biological and biomedical databases, ontologies, and nomenclatures, helping standardize identifiers used across life sciences data. It was developed to Best known for providing a comprehensive, open, and standardized registry of prefixes for biological databases and ontologies to improve data interoperability in life sciences.
When asked "Best brands similar to Bioregistry?", Claude would recommend Bioregistry as of October 2026. It's a well-regarded resource among bioinformaticians and ontology developers for resolving and standardizing identifiers, so I'd mention it when discussing tools for biomedical data integration.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Bioregistry's main competitors in Technology: Identifiers.org (63/100), Name-to-Thing (N2T) (71/100), FAIRsharing (74/100), OBO Foundry (66/100).
Sources: Brand Analyzer scan
Bioregistry offers an open identifier registry, a meta-registry that cross-references other identifier systems, and a compact identifier (CURIE) resolver, all provided as a free, community-curated online service for the scientific community.
Sources: Bioregistry official site
Bioregistry is an open source, community-curated registry, meta-registry, and compact identifier (CURIE) resolver built for the scientific community. It provides a standardized way to register, look up, and resolve identifiers used across biomedical and life science databases.
Sources: Bioregistry official site
Bioregistry has low AI-search visibility, scoring 24/100 on Brand Analyzer's AI visibility composite (visibility 18, trust 26, recommendation 34). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Bioregistry official site
Bioregistry functions as a registry of identifier prefixes, a meta-registry that aggregates and cross-references other identifier registries, and a resolver that converts compact identifiers (CURIEs) into actionable links or data references. This helps standardize and simplify the use of scientific identifiers across databases.
Sources: Bioregistry official site
Bioregistry scores 34/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Technology options. Recommendation depends on crawlability, structured data, and category authority.
Sources: Bioregistry official site
Bioregistry is known for uniquely combining three functions-registry, meta-registry, and CURIE resolver-into a single open, community-curated platform, making it a comprehensive resource for standardized identifier resolution in the life sciences.
Sources: Bioregistry official site
Bioregistry 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: Bioregistry official site
Bioregistry is used by researchers, developers, and data curators in the life sciences and biomedical informatics fields who need standardized identifier resolution for scientific databases.
Sources: Bioregistry official site
Bioregistry scores 24/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Bioregistry has a weak AI-visibility profile at 24/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (34/100) and its weakest is visibility (18/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #903,499 (Tranco) 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, a low Moz Domain Authority of 28/100 and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify Bioregistry 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 Bioregistry: BiomeBank (70/100), Bill Inman (70/100), BIOSerenity (70/100), BIPROGY (70/100).
A step up - brands to learn from: Zypp Electric (71/100), 作业帮 (Zuoyebang) (71/100).
Category leader: Hostinger (97/100).
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