Protein modelling made accessible
SWISS-MODEL (expasy.org) scores 75 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Healthcare brands, Education brands, Technology brands, in the 44th percentile of 7441 Healthcare brands.
SWISS-MODEL is a fully automated protein structure homology-modelling server hosted on the Expasy platform. It provides free, regularly updated modelled protein structures for core species based on the latest UniProtKB proteome data. Its mission is to make protein structure modelling accessible to life science researchers, structural biologists, bioinformaticians, and academic institutions worldwide, supporting research in healthcare, education, and technology-related biological sciences.
| Brand Name | SWISS-MODEL |
|---|---|
| Domain | expasy.org |
| Industry | Healthcare, Education |
| Main Competitors | AlphaFold, Phyre2, I-TASSER, Robetta, MODELLER |
Moz Domain Authority 61/100 vs category average 40 / leader 95 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
SWISS-MODEL has a dedicated Wikipedia entity - a top-weighted signal AI models rely on to identify and describe the brand.
The homepage meta description reads "SWISS-MODEL is a fully automated protein structure homology-modelling server. The purpose of this server is to make protein modelling accessible to all life science researchers wor…" (Meta description: 26 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: 1 JSON-LD block(s), Organization schema. Adding 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; no detected presence on LinkedIn, 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 September 2026.
When asked "What is SWISS-MODEL?", Claude could identify the brand as of September 2026. SWISS-MODEL is a free web-based service for automated protein structure homology modeling, developed and maintained by the Swiss Institute of Bioinformatics (SIB) and hosted on the ExPASy portal. It allows researchers to predict the 3D structure of a protein from its amino acid s Best known for Automated protein homology structure modeling used widely in structural biology and bioinformatics research.
When asked "Best brands similar to SWISS-MODEL?", Claude would recommend SWISS-MODEL as of September 2026. It's one of the most established and widely cited tools for protein structure prediction, so it would naturally come up alongside tools like AlphaFold or Phyre2.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
SWISS-MODEL provides an automated protein structure homology-modelling service, delivering free, up-to-date modelled protein structures for core species based on the latest UniProtKB proteome data, accessible via the Expasy web server.
Sources: SWISS-MODEL official site
SWISS-MODEL is a fully automated protein structure homology-modelling server available through the Expasy web platform. It generates three-dimensional protein structure models based on sequence similarity to known experimental structures, aiming to make structural modelling accessible to life science researchers worldwide.
Sources: SWISS-MODEL official site
SWISS-MODEL has moderate AI-search visibility, scoring 59/100 on Brand Analyzer's AI visibility composite (visibility 57, trust 54, recommendation 68). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: SWISS-MODEL official site
SWISS-MODEL automates the process of protein structure homology modelling. It takes protein sequence data, compares it to known structural templates, and produces predicted three-dimensional models. It also provides free, regularly updated modelled protein sequences for core species based on the latest UniProtKB proteome data.
Sources: SWISS-MODEL official site
SWISS-MODEL scores 68/100 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: SWISS-MODEL official site
SWISS-MODEL 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: SWISS-MODEL official site
SWISS-MODEL is used by life science researchers, structural biologists, bioinformaticians, and academic institutions worldwide who need protein structure modelling tools for research purposes.
Sources: SWISS-MODEL official site
SWISS-MODEL is known for being one of the earliest and most widely used automated servers for protein structure homology modelling, offering free access to predicted protein structures for researchers globally through the Expasy platform.
Sources: SWISS-MODEL official site
SWISS-MODEL is popular because it offers a free, fully automated, and accessible way for researchers to generate protein structure models without requiring specialized computational expertise, using up-to-date proteome data for core species.
Sources: SWISS-MODEL official site
SWISS-MODEL scores 59/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
SWISS-MODEL has a limited AI-visibility profile at 59/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (68/100) and its weakest is trust (54/100). It benefits from a recognised Wikipedia company entity, a Wikidata knowledge-graph entry and a Moz Domain Authority of 61/100. The main gaps holding it back: no llms.txt to steer AI to its best pages. In a live check, Claude could already identify SWISS-MODEL 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 SWISS-MODEL: Exhale Wellness (75/100), Evolent (75/100), EyeTracking (75/100), Fenchem (75/100).
A step up - brands to learn from: Zurich Insurance Group (81/100), ZOLL Data Systems (81/100).
Category leader: Booksy (96/100).
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