Japan's Gateway to Genome Research
GenomeNet (genome.jp) scores 50 out of 100 on Brand Analyzer, placing it in the Early Stage tier among Healthcare brands, Education brands, Technology brands, in the 1st percentile of 8015 Healthcare brands.
GenomeNet (genome.jp) is a Japanese network of database and computational services supporting genome research and related biomedical sciences. It provides an integrated set of genomic databases and bioinformatics tools for researchers, backed by Japanese research institutions. Founded in 1959, it serves as a comprehensive resource hub for genome-related data and analysis tools, targeting researchers, scientists, and academics in genomics, bioinformatics, and biomedical fields worldwide.
| Brand Name | GenomeNet |
|---|---|
| Domain | genome.jp |
| Industry | Healthcare, Education |
| Founded | 1959 |
| Main Competitors | NCBI, EMBL-EBI (66/100), DDBJ, UniProt (92/100), Ensembl (73/100) |
Moz Domain Authority 59/100 vs category average 40 / leader 95 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #32,316 on the Tranco list of most-visited sites - strong traffic reinforces the brand's prominence to AI models.
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 "GenomeNet is a Japanese network of database and computational services for genome research and related research areas in biomedical sciences." (Meta description: 20 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: 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), LinkedIn, Facebook, Instagram, GitHub; no detected presence on 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 September 2026.
When asked "What is GenomeNet?", Claude could identify the brand as of September 2026. GenomeNet is a bioinformatics platform run by the Bioinformatics Center at Kyoto University's Institute for Chemical Research, offering genomic databases and analysis tools including the widely used KEGG (Kyoto Encyclopedia of Genes and Genomes) resource. Best known for Hosting the KEGG database for genomics and pathway analysis.
When asked "Best brands similar to GenomeNet?", Claude would recommend GenomeNet as of September 2026. It's a well-established academic resource that researchers often mention when discussing genomic and bioinformatics databases, though it's more niche than commercial healthcare brands.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
GenomeNet's main competitors in Healthcare: EMBL-EBI (66/100), UniProt (92/100), Ensembl (73/100).
Sources: Brand Analyzer scan
GenomeNet has limited AI-search visibility, scoring 28/100 on Brand Analyzer's AI visibility composite (visibility 25, trust 19, recommendation 45). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: GenomeNet official site
GenomeNet was founded in 1959. GenomeNet operates in the Healthcare category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
GenomeNet scores 45/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Healthcare options. Recommendation depends on crawlability, structured data, and category authority.
Sources: GenomeNet official site
GenomeNet is a Japanese network of database and computational services dedicated to genome research and related areas of biomedical science. It integrates multiple genomic databases and bioinformatics tools into a single platform, accessible to researchers globally, and is supported by Japanese research institutions.
Sources: GenomeNet official site
GenomeNet 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: GenomeNet official site
GenomeNet offers genomic databases and computational/bioinformatics tools designed to support genome research and related biomedical science applications for researchers and academics.
Sources: GenomeNet official site
GenomeNet provides access to genomic databases and computational tools that support genome research and biomedical science. It enables researchers to search, analyze, and retrieve genomic and molecular biology data through an integrated network of services hosted by Japanese research institutions.
Sources: GenomeNet official site
GenomeNet is used by researchers, scientists, and academics working in genomics, bioinformatics, and biomedical sciences.
Sources: GenomeNet official site
GenomeNet scores 28/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
GenomeNet has a weak AI-visibility profile at 28/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (45/100) and its weakest is trust (19/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #32,316 (Tranco) and a Moz Domain Authority of 59/100. 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 GenomeNet from memory (September 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 GenomeNet: Divit Nutrition (50/100), Direct Radiology (50/100), Hitachi High-Tech (50/100), Melbourne Foot Clinic (50/100).
A step up - brands to learn from: Werskincare (56/100), Mercè Puig | Espai de Salut (56/100).
Category leader: Booksy (96/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.