Safely analysing sensitive health data
OpenSAFELY (opensafely.org) scores 74 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Healthcare brands, Technology brands, SaaS brands, in the 43rd percentile of 21315 Healthcare brands.
OpenSAFELY is a secure platform for analysing large, sensitive health datasets, developed by a team at the Bennett Institute. Built in collaboration with NHS England, TPP, Optum, and academic partners, it enables health researchers and data scientists to conduct studies on sensitive population-level data while maintaining patient privacy and research transparency. It serves health researchers, NHS organizations, and academic institutions needing secure, large-scale data access for research purposes, positioning itself as a leading solution balancing data accessibility with rigorous privacy protection.
| Brand Name | OpenSAFELY |
|---|---|
| Domain | opensafely.org |
| Industry | Healthcare, Technology |
| Parent Company / Owner | Bennett Institute |
| Main Competitors | Palantir Technologies (88/100), Aridhia (80/100), TriNetX (84/100), SAIL Databank (66/100), Genomics England (59/100), Health Data Research UK (70/100) |
Ranked #932,253 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
OpenSAFELY has a dedicated Wikipedia entity - a top-weighted signal AI models rely on to identify and describe the brand.
The homepage meta description reads "OpenSAFELY is a platform for analysing large, sensitive datasets - safely and securely. OpenSAFELY is built by a team at the Bennett Institute." (Meta description: 23 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: og:title, og:description, og:image, og:type, Twitter cards, canonical. 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: Cloudflare, WordPress, Ghost.
Social footprint: verified profiles on X (Twitter), Facebook, Instagram, YouTube, GitHub; no detected presence on LinkedIn - 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 November 2026.
When asked "What is OpenSAFELY?", Claude could identify the brand as of November 2026. OpenSAFELY is a secure analytics platform that lets researchers run studies on NHS electronic health record data without the data ever leaving the secure environment, developed by Ben Goldacre's team at Oxford (now the Bennett Institute) in partnership with EHR system suppliers T Best known for being the trusted research environment used for major COVID-19 studies on NHS patient data, including early work on dexamethasone and vaccine safety.
When asked "Best brands similar to OpenSAFELY?", Claude would recommend OpenSAFELY as of November 2026. It's a leading example of privacy-preserving health data research infrastructure, so I'd mention it alongside other trusted research environments or health data platforms.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
OpenSAFELY's main competitors in Healthcare: Palantir Technologies (88/100), Aridhia (80/100), TriNetX (84/100), SAIL Databank (66/100), Genomics England (59/100).
Sources: Brand Analyzer scan
OpenSAFELY is a platform for analysing large, sensitive health datasets safely and securely. It was built by a team at the Bennett Institute in collaboration with NHS England, TPP, Optum, and academic partners. The platform is designed to let researchers work with sensitive health data without compromising patient privacy, while supporting transparent and reproducible research practices.
Sources: OpenSAFELY official site
OpenSAFELY has limited AI-search visibility, scoring 45/100 on Brand Analyzer's AI visibility composite (visibility 58, trust 4, recommendation 69). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: OpenSAFELY official site
OpenSAFELY provides a secure technical environment that allows researchers to analyse large, sensitive health datasets without the data leaving its secure location. It enables health researchers, data scientists, and academic institutions to run analyses on NHS and other health data while ensuring patient privacy is protected and the research process remains transparent and auditable.
Sources: OpenSAFELY official site
OpenSAFELY scores 69/100 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: OpenSAFELY official site
OpenSAFELY offers a secure analytics platform that enables researchers to safely analyse large, sensitive health datasets. The platform is built to allow data analysis without exposing underlying patient data, supporting secure, transparent, and reproducible health research using NHS and other large health datasets.
Sources: OpenSAFELY official site
OpenSAFELY 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: OpenSAFELY official site
OpenSAFELY is used by health researchers, data scientists, NHS organizations, and academic institutions that require secure access to large-scale, sensitive health datasets for research purposes. These users rely on the platform to conduct studies while complying with data privacy and security requirements.
Sources: OpenSAFELY official site
OpenSAFELY is known for providing a secure, privacy-preserving platform for analysing sensitive health datasets, built with NHS England, TPP, Optum, and academic partners. It is recognized within the health data research community for enabling large-scale studies on sensitive population health data while maintaining strict data security and supporting research transparency.
Sources: OpenSAFELY official site
OpenSAFELY scores 45/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
OpenSAFELY has a limited AI-visibility profile at 45/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (69/100) and its weakest is trust (4/100). It benefits from a recognised Wikipedia company entity, a Wikidata knowledge-graph entry and a global traffic rank of #932,253 (Tranco). The main gaps holding it back: thin schema.org structured data and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify OpenSAFELY from memory (November 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 OpenSAFELY: Open Door Community Health Centers (74/100), Oosterpoort (74/100), Open Targets (74/100), Ordre professionnel de la physiothérapie du Québec (OPPQ) (74/100).
A step up - brands to learn from: Zymo Research (81/100), Zurich Insurance Group (81/100).
Category leader: Booksy (96/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.