Curated repository for scattering data
SASBDB (sasbdb.org) scores 65 out of 100 on Brand Analyzer, placing it in the Developing tier among Healthcare brands, Education brands, Technology brands, in the 13th percentile of 6235 Healthcare brands.
SASBDB (Small Angle Scattering Biological Data Bank) is a freely accessible, curated online repository of small angle X-ray and neutron scattering data and derived models for biological macromolecules. It provides searchable experimental data, models, and associated experimental conditions to support structural biology research at 1-2 nm resolution. The database serves structural biologists, biochemists, and other researchers investigating macromolecular structures in solution using small angle scattering techniques.
| Brand Name | SASBDB |
|---|---|
| Domain | sasbdb.org |
| Industry | Healthcare, Education |
| Main Competitors | Protein Data Bank (RCSB PDB) (88/100), PDBe, Electron Microscopy Data Bank (EMDB) (69/100), Biological Magnetic Resonance Data Bank (BMRB) (69/100), BioIsis |
Moz Domain Authority 30/100 vs category average 40 / leader 95 - limited third-party links, so AI systems rarely 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 "To provide a fully searchable, curated repository of freely accessible small angle scattering data and models for biological macromolecules." (No meta description) - 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: 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.
Detected tech stack: Nginx.
Social footprint: verified profiles on X (Twitter), Facebook, Instagram, YouTube; no detected presence on 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 SASBDB?", Claude could identify the brand as of September 2026. SASBDB (Small Angle Scattering Biological Data Bank) is a public repository for small-angle scattering (SAS) data and models of biological macromolecules, used by structural biology researchers to deposit and access experimental SAXS/SANS datasets. Best known for being a curated open-access database for small-angle scattering data on proteins and other biomolecules.
When asked "Best brands similar to SASBDB?", Claude would not surface SASBDB as of September 2026. It's a niche academic/structural biology database rather than a healthcare brand, so it wouldn't come up in a general healthcare recommendation context.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
SASBDB's main competitors in Healthcare: Protein Data Bank (RCSB PDB) (88/100), Electron Microscopy Data Bank (EMDB) (69/100), Biological Magnetic Resonance Data Bank (BMRB) (69/100).
Sources: Brand Analyzer scan
SASBDB offers a database of experimental small angle X-ray and neutron scattering (SAXS/SANS) data for biological macromolecules, along with derived structural models and the experimental conditions under which the data were obtained. It provides search functionality to allow users to locate specific datasets and models relevant to their research.
Sources: SASBDB official site
SASBDB, or the Small Angle Scattering Biological Data Bank, is a fully searchable, curated repository of freely accessible small angle scattering data and models for biological macromolecules. It is designed to support structural biology research by providing experimental small angle X-ray and neutron scattering data alongside derived models and experimental conditions.
Sources: SASBDB official site
SASBDB has low AI-search visibility, scoring 20/100 on Brand Analyzer's AI visibility composite (visibility 13, trust 19, recommendation 35). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: SASBDB official site
SASBDB curates and provides open access to experimental small angle X-ray and neutron scattering (SAXS/SANS) data for biological macromolecules. It stores derived structural models along with the experimental conditions under which the data were collected, allowing researchers to search, retrieve, and analyze scattering data for structural insights into macromolecules in solution.
Sources: SASBDB official site
SASBDB scores 35/100 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: SASBDB official site
SASBDB 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: SASBDB official site
SASBDB is used by structural biologists, biochemists, and other researchers studying the structure of biological macromolecules using small angle X-ray and neutron scattering techniques. These users rely on the database to access curated experimental data and models for their own research and analysis.
Sources: SASBDB official site
SASBDB is known for being a curated, open-access data bank specifically dedicated to small angle X-ray and neutron scattering data and models for biological macromolecules. It is recognized as a resource that enables structural biology researchers to access standardized, searchable experimental scattering data alongside derived models and conditions.
Sources: SASBDB official site
SASBDB scores 20/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
SASBDB has a weak AI-visibility profile at 20/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (35/100) and its weakest is visibility (13/100). It benefits from a Wikidata knowledge-graph entry 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 30/100 and thin schema.org structured data. In a live check, Claude could already identify SASBDB 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 SASBDB: Sanofi Patient Connection (65/100), Rehab Support Systems (65/100), Size Stream (65/100), SmithRx (65/100).
A step up - brands to learn from: ZT Corporate (71/100), Zaina AI (71/100).
Category leader: Booksy (96/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.