Quality-checked ribosomal RNA sequence data
SILVA (arb-silva.de) scores 67 out of 100 on Brand Analyzer, placing it in the Developing tier among Education brands, Technology brands, Other brands, in the 14th percentile of 13994 Education brands.
SILVA (arb-silva.de) is an online bioinformatics resource providing comprehensive, quality-checked, and regularly updated aligned ribosomal RNA sequence data covering Bacteria, Archaea, and Eukarya. It serves as a core biodata resource for the scientific community, supporting research in microbiology, molecular biology, and genomics by offering curated small and large subunit rRNA datasets used widely in taxonomic and phylogenetic analyses.
| Brand Name | SILVA |
|---|---|
| Domain | arb-silva.de |
| Industry | Education, Technology |
| Main Competitors | GreenGenes, Ribosomal Database Project (RDP), NCBI GenBank, EMBL-EBI (63/100), UNITE |
Moz Domain Authority 44/100 vs category average 49 / leader 99 - limited third-party links, so AI systems rarely encounter mentions of the brand.
Ranked #617,283 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 "To provide a comprehensive, quality checked, and regularly updated online resource of aligned ribosomal RNA sequence data for all three domains of life." (No meta description) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: Microdata (Schema.org). 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: PHP, Nginx.
Social footprint: verified profiles on LinkedIn, X (Twitter), Instagram, GitHub; no detected presence on Facebook, 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 SILVA?", Claude could identify the brand as of October 2026. SILVA is a comprehensive, quality-checked database providing aligned ribosomal RNA (SSU and LSU rRNA) sequence data for all three domains of life, widely used in microbial ecology and taxonomy research. Best known for Being a leading reference database for ribosomal RNA gene sequences used in microbiome and phylogenetic analysis.
When asked "Best brands similar to SILVA?", Claude would recommend SILVA as of October 2026. It's one of the most widely cited and used rRNA databases in bioinformatics, so it would naturally come up alongside tools like GreenGenes or RDP.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
SILVA offers curated and aligned small and large subunit ribosomal RNA sequence datasets covering Bacteria, Archaea, and Eukarya. These quality-checked, regularly updated datasets serve as an online resource for researchers conducting molecular biology, microbiology, and genomics research.
Sources: SILVA official site
SILVA is an online resource that provides comprehensive, quality-checked, and regularly updated aligned ribosomal RNA (rRNA) sequence data for all three domains of life: Bacteria, Archaea, and Eukarya. It functions as a core biodata resource used by the scientific community for molecular and microbiological research.
Sources: SILVA official site
SILVA has limited AI-search visibility, scoring 31/100 on Brand Analyzer's AI visibility composite (visibility 22, trust 30, recommendation 50). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: SILVA official site
SILVA curates, aligns, and continuously updates small and large subunit ribosomal RNA sequence datasets spanning Bacteria, Archaea, and Eukarya. It provides quality-checked rRNA data that researchers can access and use for taxonomic classification, phylogenetic analysis, and other molecular biology applications.
Sources: SILVA official site
SILVA scores 50/100 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.
Sources: SILVA official site
SILVA is known for being a globally recognized, high-quality, curated database of aligned ribosomal RNA sequences covering all three domains of life, widely used as a core reference resource in microbiology and genomics research.
Sources: SILVA official site
Based on the available facts, SILVA positions itself as a trusted, globally recognized core data resource for high-quality rRNA sequence information, and its data is quality-checked and regularly updated, which supports its reliability in the scientific community.
Sources: SILVA official site
SILVA 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: SILVA official site
SILVA is used by researchers, scientists, and bioinformaticians working in microbiology, molecular biology, and genomics who require reliable, curated ribosomal RNA sequence data for their studies.
Sources: SILVA official site
SILVA is popular because it offers comprehensive, curated, and continuously updated ribosomal RNA sequence data spanning all three domains of life, making it a trusted core resource for researchers needing reliable rRNA data for microbiology, molecular biology, and genomics work.
Sources: SILVA official site
SILVA scores 31/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
SILVA has a weak AI-visibility profile at 31/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (50/100) and its weakest is visibility (22/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #617,283 (Tranco) and a Moz Domain Authority of 44/100. 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 SILVA 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 SILVA: American Poetry Review (67/100), Test Automation University (67/100), 建筑学院 ArchCollege (67/100), Alum Rock Union Elementary School District (67/100).
A step up - brands to learn from: Ziyouz (71/100), ZiyoNET (71/100).
Category leader: Canva (97/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.