Multiplier AI Blog
Know How Data, AI, & Digital Marketing Can Help Pharma & Life Sciences
Generative Engine Optimization for Healthcare and Life Sciences
Every measurement system healthcare marketing uses was built for a world of links. A search result has a rank. An impression is logged. A click arrives with a referrer attached, and from that referrer you can build attribution, calculate cost per acquisition, and tell a brand team which asset did the work. A generative answer has none of those things. There is no rank, because
How AI Engines Decide Which Health Publisher to Cite
Ask any search professional which sources AI engines trust for health content and you will get a hierarchy. Government bodies at the top, then clinical guidelines and specialist societies, then peer reviewed literature, then academic medical centres, then publishers, then brands, then forums at the bottom. It is a tidy answer, it matches how clinicians think about evidence, and we publi
GEO for Medical Publishers
Health publishing spent fifteen years building a particular machine. You wrote comprehensive, medically reviewed content about every condition a person might search for, you ranked for it, and advertisers paid to reach the people who arrived. The machine worked well enough to support several businesses of real scale, and the thing that made it work was that a person with a symp
Measuring AI Visibility Across a 50,000 Page Health Content Library
Measuring AI visibility across a large content library is a sampling problem, and the single most expensive misconception is that the sample has to scale with the library. It does not. The statistical precision of an estimate depends on the sample size and the rate being estimated, not on the size of the population it is drawn from, which means 600 well constructed prom
Automating Medical Rep Call Reporting with AI
Every SFA vendor sells voice-to-CRM on the same claim: speaking is faster than typing. None of them publishes an accuracy number. The published research does — and it explains why the obvious architecture is the wrong one for an Indian field force.
Build vs Buy: The Pharma Commercial AI Stack
Most build-versus-buy guidance for pharma AI is priced in US dollars, which quietly decides the answer before the reader has started. This guide rebuilds the comparison at Indian salaries, audits the figures everyone is quoting, and shows why this is five decisions rather than one.
AI Territory Design and Route Optimisation for Pharma
Territory design is usually discussed as a map exercise and is really an arithmetic one. How to build the workload index and the potential map that the alignment runs on, why Indian beat-planning benchmarks come from FMCG and break in pharma, and which productivity claims survive checking.
How to Increase Prescription Share of Voice with AI
Share of voice and share of prescriptions are two different things, and conflating them is the most common error in this subject. Share of voice is your share of the total promotional and scientific communication a doctor receives. Share of prescriptions is your share of what they actually write. The framework linking them — excess share of voice, where SOV min
Closed-Loop Marketing in Pharma: The Complete Guide
Closed-loop marketing (CLM) in pharma is a cycle in which a representative presents approved digital content to a doctor, the system records how that doctor responded, and those recorded reactions change what is presented next time.
MLR-Compliant GenAI Content for Pharma
Every pharmaceutical marketing team has now been asked the same question by someone senior: can we use generative AI to produce our promotional content? The honest answer is more interesting than either of the two answers usually given, and it turns on a distinction that most published guidance skips.
NMC Guidelines on Ethical Advertising and Public Communication, 2026
On 6 October 2026 the NMC's Ethics and Medical Registration Board issued guidelines that treat social media, influencer content, SEO and AI-generated material as advertising, and brought them into force the same day. There is no transition period. This is what the document says, clause by clause, and what to change on Monday
Micro-Segmentation of Doctors: A Practical Guide
Search for how to segment doctors and you will find consulting content of a very high standard. ZS and Indegene have been shaping this discipline for decades and their published thinking is good. It is also, by design, abstract — the specific method is what you engage them for, and their writing is a demonstration of judgement rather than a set of instructions.