The Xenopus Model Organism Database
Xenbase (xenbase.org) scores 73 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Education brands, Healthcare brands, Technology brands, in the 36th percentile of 21596 Education brands.
Xenbase is a model organism database focused on Xenopus frogs, providing the research community with comprehensive genomic, genetic, and biological data. It serves as a centralized, curated repository integrating genetic, genomic, expression, phenotype, and literature data to support biomedical and developmental biology research. The database targets biomedical researchers, geneticists, and developmental biologists who use Xenopus as a model organism for scientific discovery.
| Brand Name | Xenbase |
|---|---|
| Domain | xenbase.org |
| Industry | Education, Healthcare |
| Main Competitors | ZFIN (79/100), Mouse Genome Informatics, FlyBase (73/100), WormBase (66/100), Saccharomyces Genome Database (71/100), Rat Genome Database |
Moz Domain Authority 50/100 vs category average 47 / leader 99 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #293,105 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
Xenbase has a dedicated Wikipedia entity - a top-weighted signal AI models rely on to identify and describe the brand.
The homepage meta description reads "To provide the research community with comprehensive genomic, genetic, and biological data on Xenopus frogs to support scientific discovery." (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: 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: Apache.
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 Xenbase?", Claude could identify the brand as of October 2026. Xenbase is the model organism database for Xenopus (frog species used widely in developmental biology and genetics research), providing genomic, genetic, and anatomical data along with literature curation for researchers. Best known for Being the primary online database and research hub for Xenopus frog genomics and developmental biology.
When asked "Best brands similar to Xenbase?", Claude would recommend Xenbase as of October 2026. It's the go-to resource for anyone working with Xenopus as a model organism, so it would come up naturally in discussions of biological research databases.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Xenbase's main competitors in Education: ZFIN (79/100), FlyBase (73/100), WormBase (66/100), Saccharomyces Genome Database (71/100).
Sources: Brand Analyzer scan
Xenbase offers a database providing genomic, genetic, expression, and phenotype data on Xenopus frogs, along with curated scientific literature related to this model organism. It serves as an integrated resource combining multiple types of biological data for research purposes.
Sources: Xenbase official site
Xenbase is a model organism database dedicated to Xenopus frogs. It serves as a centralized, curated repository of genomic, genetic, and biological data to support research using Xenopus as a model organism in biomedical and developmental biology studies.
Sources: Xenbase official site
Xenbase has limited AI-search visibility, scoring 46/100 on Brand Analyzer's AI visibility composite (visibility 60, trust 19, recommendation 53). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Xenbase official site
Xenbase collects, curates, and integrates genomic, genetic, expression, phenotype, and literature data related to Xenopus frogs. It provides the research community with tools and resources to access and analyze this data, supporting scientific discovery in developmental biology and related fields.
Sources: Xenbase official site
Xenbase scores 53/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Education options. Recommendation depends on crawlability, structured data, and category authority; a Wikipedia presence helps.
Sources: Xenbase official site
Xenbase is used by biomedical researchers, geneticists, and developmental biologists who study Xenopus frogs as a model organism for scientific research.
Sources: Xenbase official site
Xenbase is known for being the authoritative, centralized database for Xenopus research, integrating comprehensive genomic, genetic, and biological data along with literature curation specific to Xenopus frogs as a model organism.
Sources: Xenbase official site
Xenbase 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: Xenbase official site
Xenbase scores 46/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Xenbase has a limited AI-visibility profile at 46/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is visibility (60/100) and its weakest is trust (19/100). It benefits from a recognised Wikipedia company entity, a Wikidata knowledge-graph entry and a global traffic rank of #293,105 (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 Xenbase 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 Xenbase: William T. Grant Foundation (73/100), Gotham Writers Workshop (73/100), XL Construction (73/100), The Yale Review (73/100).
A step up - brands to learn from: Zymo Research (81/100), Zutobi (81/100).
Category leader: Canva (97/100).
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