Trusted drug information for clinicians
MIMS (mims.co.uk) scores 80 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Healthcare brands, Media & Entertainment brands, Technology brands, in the 70th percentile of 11854 Healthcare brands.
MIMS (mims.co.uk) is an online database providing UK healthcare professionals with information on prescription and generic drugs, clinical guidelines, and patient advice. It serves as a clinical reference tool for doctors, nurses, and pharmacists, supporting prescribing decisions with up-to-date medicine and treatment data. MIMS is positioned as a trusted resource within the UK healthcare sector, focusing on accuracy and accessibility of drug-related information for professional use.
| Brand Name | MIMS |
|---|---|
| Domain | mims.co.uk |
| Industry | Healthcare, Media & Entertainment |
| Main Competitors | BNF (British National Formulary), Medscape (91/100), Drugs.com (90/100), UpToDate (90/100), electronic Medicines Compendium (emc) (81/100) |
Moz Domain Authority 49/100 vs category average 41 / leader 95 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #516,076 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
MIMS appears on Wikipedia but without a dedicated company entity, so AI models can confuse it with similarly named subjects.
The homepage meta description reads "MIMS online, search the database of prescription and generic drugs, clinical guidelines and patient advice." (Meta description: 15 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: canonical. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt mentions GPTBot, Google-Extended - all allowed - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Detected tech stack: ASP.NET, Cloudflare.
Social footprint: verified profiles on X (Twitter), Instagram, YouTube, GitHub; no detected presence on LinkedIn, Facebook - 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 MIMS?", Claude could identify the brand as of October 2026. MIMS (Monthly Index of Medical Specialities) is a well-known UK reference guide for prescribers, providing up-to-date information on medicines, dosages, and prescribing guidance for GPs and other healthcare professionals. Best known for Being the UK's leading prescribing reference guide for doctors and healthcare professionals.
When asked "Best brands similar to MIMS?", Claude would recommend MIMS as of October 2026. It's a long-standing, widely trusted resource in UK primary care for prescribing information, so it would naturally come up alongside similar clinical reference tools like the BNF.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
MIMS's main competitors in Healthcare: Medscape (91/100), Drugs.com (90/100), UpToDate (90/100), electronic Medicines Compendium (emc) (81/100).
Sources: Brand Analyzer scan
MIMS offers an online database of prescription and generic drugs, clinical guidelines, and patient advice designed for healthcare professionals.
Sources: MIMS official site
MIMS is an online clinical reference service and database used by healthcare professionals in the UK to search for information on prescription and generic drugs, clinical guidelines, and patient advice.
Sources: MIMS official site
MIMS has limited AI-search visibility, scoring 38/100 on Brand Analyzer's AI visibility composite (visibility 38, trust 29, recommendation 50). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: MIMS official site
MIMS provides a searchable database of prescription and generic medicines, along with clinical guidelines and patient advice, to support healthcare professionals in making informed prescribing decisions.
Sources: MIMS official site
MIMS scores 50/100 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: MIMS official site
MIMS is used by healthcare professionals in the UK, including doctors, nurses, and pharmacists, who need quick access to accurate drug and clinical guideline information.
Sources: MIMS official site
MIMS is known for being a comprehensive and trusted database of drug and treatment information tailored specifically to UK healthcare professionals.
Sources: MIMS official site
MIMS 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: MIMS official site
MIMS is popular among UK healthcare professionals because it offers a comprehensive, easy-to-access database of drug and clinical information that supports faster and safer prescribing decisions.
Sources: MIMS official site
MIMS scores 38/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
MIMS has a weak AI-visibility profile at 38/100 - 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 trust (29/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #516,076 (Tranco) and a Moz Domain Authority of 49/100. 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 MIMS 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 MIMS: Milupa (80/100), Millennium Health (80/100), MindMaze Therapeutics (80/100), Mirion (80/100).
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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