Mapping the clinical genome together
DECIPHER (deciphergenomics.org) scores 73 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Healthcare brands, Education brands, Technology brands, in the 33rd percentile of 10505 Healthcare brands.
DECIPHER is an open-access genomic database founded in 1983 that enables clinicians and researchers worldwide to share and compare human genome variants and associated phenotypes. It holds data on tens of thousands of patients and supports collaborative interpretation of genetic information to improve diagnosis and care for rare genetic conditions. The platform is freely accessible without requiring login credentials, serving the clinical genetics and genomic research community.
| Brand Name | DECIPHER |
|---|---|
| Domain | deciphergenomics.org |
| Industry | Healthcare, Education |
| Founded | 1983 |
| Main Competitors | ClinVar, gnomAD, ClinGen (74/100), Leiden Open Variation Database (LOVD), Online Mendelian Inheritance in Man (OMIM), Database of Genomic Variants (DGV) |
Moz Domain Authority 37/100 vs category average 41 / leader 95 - limited third-party links, so AI systems rarely encounter mentions of the brand.
Ranked #1,459,300 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
DECIPHER appears on Wikipedia but without a dedicated company entity, so AI models can confuse it with similarly named subjects.
The homepage meta description reads "DECIPHER helps the clinical community share and compare human genome variants and phenotypes in a database of tens of thousands of patients worldwide" (Meta description: 23 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: Vue.
Social footprint: verified profiles on Facebook, Instagram, YouTube; no detected presence on X (Twitter), LinkedIn, 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 September 2026.
When asked "What is DECIPHER?", Claude could identify the brand as of September 2026. DECIPHER is a web-based database and tool used by clinical geneticists to share and interpret rare genomic variants alongside phenotype information, helping diagnose rare genetic disorders. It's widely used in the clinical genetics community for cataloguing chromosomal microdelet Best known for a genomic variant database that links chromosomal abnormalities to patient phenotypes for rare disease diagnosis.
When asked "Best brands similar to DECIPHER?", Claude would recommend DECIPHER as of September 2026. It's a well-established, widely cited resource in clinical genetics, so I'd mention it if someone asked about tools for interpreting genomic variants or diagnosing rare diseases.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
DECIPHER has limited AI-search visibility, scoring 39/100 on Brand Analyzer's AI visibility composite (visibility 43, trust 22, recommendation 51). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: DECIPHER official site
DECIPHER was founded in 1983. DECIPHER operates in the Healthcare category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
DECIPHER scores 51/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Healthcare options. Recommendation depends on crawlability, structured data, and category authority; a Wikipedia presence helps.
Sources: DECIPHER official site
DECIPHER 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: DECIPHER official site
DECIPHER is an open-access, web-based database that catalogs human genome variants and associated clinical phenotypes from tens of thousands of patients worldwide. It was founded in 1983 and is designed to support the clinical genetics community in sharing, comparing, and interpreting genomic data. The database focuses on rare genetic conditions and aims to connect genotype information with patient phenotype data to aid diagnosis.
Sources: DECIPHER official site
DECIPHER collects and shares data on human genome variants and the corresponding patient phenotypes, allowing clinicians and researchers to compare cases across a global dataset of tens of thousands of patients. It provides open access to this information without requiring login credentials, enabling collaborative interpretation of genetic variants. This supports the diagnosis of rare genetic conditions and advances research into genotype-phenotype relationships.
Sources: DECIPHER official site
DECIPHER is used by clinical geneticists, genomic researchers, and healthcare professionals worldwide who study and diagnose rare genetic conditions. These users rely on the database to share and compare genome variant and phenotype data across an international patient population.
Sources: DECIPHER official site
DECIPHER scores 39/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
DECIPHER has a weak AI-visibility profile at 39/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (51/100) and its weakest is trust (22/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #1,459,300 (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 37/100 and thin schema.org structured data. In a live check, Claude could already identify DECIPHER 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 DECIPHER: Datasaur (73/100), Disability Advocacy Network Australia (73/100), Defense Soap (73/100), Dementia Society of America (73/100).
A step up - brands to learn from: Zymo Research (81/100), Zurich Insurance Group (81/100).
Category leader: Booksy (96/100).
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