The Human Gene Mutation Database
HGMD (cf.ac.uk) scores 34 out of 100 on Brand Analyzer, placing it in the Early Stage tier among Healthcare brands, Education brands, in the 0th percentile of 11928 Healthcare brands.
HGMD, the Human Gene Mutation Database, is an academically maintained database originating from the Institute of Medical Genetics in Cardiff. It collects and catalogues published gene mutations known to cause human inherited disease. Serving as a curated reference resource, it supports researchers, clinicians, and academic institutions studying the genetic basis of inherited conditions. HGMD is positioned as an authoritative source in the fields of healthcare and genetics education.
| Brand Name | HGMD |
|---|---|
| Domain | cf.ac.uk |
| Industry | Healthcare, Education |
| Headquarters | Cardiff, United Kingdom |
| Parent Company / Owner | Institute of Medical Genetics, Cardiff |
| Main Competitors | ClinVar, OMIM (71/100), Ensembl (73/100), UniProt (92/100), LOVD, dbSNP |
Moz Domain Authority 70/100 vs category average 41 / leader 95 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
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 "The Human Gene Mutation Database" (Meta description: 5 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: 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 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.
Live results from asking a general-purpose AI assistant about the brand, checked October 2026.
When asked "What is HGMD?", Claude could identify the brand as of October 2026. HGMD (Human Gene Mutation Database) is a comprehensive database of published germline mutations in nuclear genes associated with human inherited disease, maintained by the Institute of Medical Genetics at Cardiff University. Best known for Being a widely used curated database cataloguing disease-causing mutations in human genes for clinical and research genetics.
When asked "Best brands similar to HGMD?", Claude would recommend HGMD as of October 2026. It's a well-established reference resource frequently used by clinical geneticists and researchers alongside databases like ClinVar, so it would naturally come up in that context.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
HGMD's main competitors in Healthcare: OMIM (71/100), Ensembl (73/100), UniProt (92/100).
Sources: Brand Analyzer scan
HGMD, or the Human Gene Mutation Database, is a curated academic database that collects and catalogues published gene mutations known to cause human inherited disease. It originated from the Institute of Medical Genetics in Cardiff and serves as a reference resource for the genetics research and clinical communities.
Sources: HGMD official site
HGMD has limited AI-search visibility, scoring 25/100 on Brand Analyzer's AI visibility composite (visibility 13, trust 30, recommendation 42). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: HGMD official site
HGMD offers a database service cataloguing published gene mutations associated with human inherited diseases. This includes curated records of gene lesions that researchers and clinicians can reference for studying genetic disease mechanisms and diagnoses.
Sources: HGMD official site
HGMD compiles and organizes published data on gene mutations associated with human inherited diseases. It curates this information into a searchable database that documents gene lesions reported in the scientific literature, allowing researchers and clinicians to access consolidated mutation data for specific genes and diseases.
Sources: HGMD official site
HGMD scores 42/100 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: HGMD official site
HGMD is known for being a comprehensive, curated catalogue of published gene mutations linked to human inherited disease. It is recognized as an authoritative, academically-maintained resource originating from the Institute of Medical Genetics in Cardiff, widely referenced in genetics and clinical research.
Sources: HGMD official site
HGMD 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: HGMD official site
HGMD is used by geneticists, clinicians, researchers, and academic institutions who study human inherited diseases and gene mutations. These users rely on the database as a reference tool for identifying and understanding disease-causing gene lesions documented in published research.
Sources: HGMD official site
HGMD scores 25/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
HGMD has a weak AI-visibility profile at 25/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (42/100) and its weakest is visibility (13/100). It benefits from a Wikidata knowledge-graph entry, a Moz Domain Authority of 70/100 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, thin schema.org structured data and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify HGMD 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 HGMD: Andera Partners (34/100), Nichiigakkan (35/100), Frauenarztpraxis Porta Westfalica - Dr. Rüdiger Schulte und Dr. Bernd Forsthoff (34/100), Sihuanpharm (34/100).
A step up - brands to learn from: Word of Mouth Technology (56/100), Werskincare (56/100).
Category leader: Booksy (96/100).
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