U.S. Pharma GEO & AI Visibility Human-in-the-Loop

See what AI is actually saying about your pharma brand

Patients and clinicians now ask ChatGPT, Gemini and Perplexity which medicine to consider and how it compares. Our GEO intelligence platform measures how those engines represent your brand across the full HCP and patient journey, benchmarks you against your competitive set, and turns every gap into a ranked, evidence-backed opportunity.

Built for brand leadership, digital, competitive intelligence and medical teams. No content is ever published automatically.

IN SHORT Traditional SEO told you where you ranked on a page. Generative engines have no rank to check - the answer is written fresh every time, and being mentioned is not the same as being recommended. This platform measures both, stage by stage and persona by persona, shows you which sources the engines are drawing on, and hands your team a prioritised list of what to fix. AI produces the analysis; a human reviews and approves every action.

Why this matters now

Clinicians have already moved. Brand measurement has not.

92%

of surveyed physicians use generative AI in clinical practice

March 2026 survey, 1,165 physicians, 7 countries

83%

name ChatGPT as a tool they use; Gemini follows at 50%

Same survey, 15 specialties

73%

say AI influences their medical decision-making to some degree

12% significant · 61% some influence

85%

expect their use of AI tools to increase over the next year

No specialty below 85% adoption

Figures from a March 2026 multi-country physician survey reported in the trade press. Verify against the primary publication before citing externally.

The problem

Three questions no pharma brand can answer today

Not because the teams are not good, but because the measurement does not exist. Generative engines are a channel with no rank, no impression log and no referral header.

01

Are we even present?

And when we do appear - are we named early, confidently and as the preferred option, or mentioned in passing after three competitors?

02

Where do we disappear?

A brand can look strong in general education and vanish at comparison and choice. One blended visibility number hides exactly the stage that matters commercially.

03

What would we change tomorrow?

And what evidence supports that change? A recommendation without the underlying AI response behind it is an opinion, and no medical reviewer will approve it.

The platform answers all three

With numbers, not impressions - and with the verbatim engine responses preserved behind every single one.

The metric set

Five numbers that quantify AI presence

Every metric is measured against the portfolio, indications, manufacturers and competitive set you configure - not against a generic benchmark.

Metric
What it tells you
Presence
In how many answers does the brand appear at all?
Visibility
When it appears, how early and how prominently?
Share of voice
How much of the conversation does the brand own versus every competitor in the set?
Recommendation rate
When the brand appears, is it actually recommended - or just listed?
Average position
Where does the brand fall in the list of options the engine names?

The commercial heart of the product

Presence is not recommendation - and the gap is where the revenue risk lives

An engine may list your brand in two answers out of three and almost never put it forward as the option to consider. Simple mention counting shows a healthy number and misses the problem entirely.

We measure the two separately, at every journey stage and for every persona, so a strong presence score can never disguise a weak recommendation rate.

How it works

What the platform does, end to end

From market configuration through to a ranked action list your team can actually take into a review meeting.

Brand and market setup

Configure your portfolio - brands, indications, manufacturers and the competitive set - with U.S. market context. Every metric is measured against that configuration.

Journey intelligence

We map the real questions HCPs and patients ask at each stage - from first awareness of symptoms through education to comparison and choice - with personas and question themes at every step.

Conversation simulation

Natural-language questions real users would ask, including multi-turn conversations that narrow toward a decision. A brand can look strong at question one and fade as the conversation closes in - single-question monitoring structurally cannot see that.

Multi-engine monitoring

Answers are collected across multiple AI engines and models, with every raw response preserved verbatim - so any finding can be checked against exactly what the engine said.

Journey heatmap

Visibility broken down by stage and persona, so weak spots are immediately obvious rather than buried in an average. This is the view brand and digital teams work from.

Opportunity engine

Gaps become a ranked list of specific, prioritised actions - each one carrying the metrics that triggered it and the exact AI responses it came from, one click away.

Content and FAQ gaps

The questions users ask that your presence fails to cover - surfaced as concrete content opportunities for medical and content teams to assess.

Citation and evidence intelligence

For every answer we capture which sources the engine cited and classify them by tier - so you can see which sources shape AI answers about you, and which ones you should be present in.

Monitoring and alerts

The platform watches scan over scan and raises alerts when visibility shifts, a competitor gains ground, or a new entrant starts taking share - so you learn about erosion from the product, not from a quarterly report.

Trust, transparency and human control

AI produces the analysis. A human approves every action.

There is no content generation and no publication path in this product at all. That is an architectural decision, not a setting.

Every finding is traceable

Back to the original AI responses it came from, preserved word for word. Nothing in the product asks you to take its word for it.

Every score is explainable

The formula behind each KPI is shown inside the product, so “why this number?” always has an answer you can give a reviewer.

Every recommendation is reviewed

Each one is labelled as requiring human review, and the full audit trail is kept. Nothing is ever published automatically.

Scope

What it does - and what it deliberately does not

We would rather be clear about the boundary now than have it discovered in a review meeting.

This is a strong fit if

  • You market one or more brands in the U.S. and want to know how AI engines represent them
  • You need to benchmark share of voice and recommendation rate against a named competitive set
  • Your team needs findings traceable to source before anything goes to medical or legal review
  • You want to see where in the journey the brand collapses, not just an overall score
  • You need alerts when a competitor gains ground between quarterly reviews
  • Your organisation requires that a human approves every action taken on AI output

This is not the right service if

  • You want AI to generate and publish content automatically - there is no publication path in this product
  • You need a judgement on whether an AI answer is medically accurate or label-consistent - it makes no such assessment
  • You need promotional compliance risk scoring - it makes no compliance determination of any kind
  • You want the product to govern or approve citations on your behalf
  • You are looking for a traditional SEO rank tracker - generative engines have no rank to track

Said plainly

This is a visibility and opportunity platform. It tells you what AI says, how you compare, and what to do about it. Humans decide and execute.

Who uses it

One platform, four different jobs

Role
What they get
Brand leadership
An executive dashboard of AI visibility, share of voice and recommendation health, with trends over time.
Brand and digital teams
The journey heatmap - where the brand wins, where it collapses, and the ranked opportunities to fix it.
Competitive intelligence
Share-of-voice and recommendation benchmarking against the configured competitor set, with alerts on shifts.
Content and medical teams
Concrete content and FAQ gaps, each backed by the actual AI answers that reveal them.

A live, breathing view

A moving market, not a one-off audit

The product runs continuous simulated monitoring, so the dashboard reflects a market in motion: brands rise and erode, conversations drift, and alerts fire on meaningful change. Current-state numbers stay meaningful as history accumulates, so trends are trustworthy from the start rather than after a year of waiting.

Accessing the product

It ships as a web application - a dashboard that runs in any modern browser.

  • Live service with real-time scanning.
  • Hosted static deployment presenting the latest full snapshot without any server infrastructure - easy to share with stakeholders.

FAQ

Frequently asked questions

What is generative engine optimization (GEO) for pharma?−
GEO is the practice of understanding and improving how generative AI engines - ChatGPT, Gemini, Perplexity and others - represent a brand when users ask them questions. Unlike SEO, there is no ranking position to check: the answer is composed fresh each time, so the only way to measure it is to ask the engines the questions real users ask and analyse what comes back. That is what this platform does, at scale, across journey stages and personas.
How is this different from an SEO rank tracker?+
SEO trackers monitor a fixed ranking position on a results page. Generative engines have no rank - every answer is written fresh, and being mentioned is not the same as being recommended. This platform measures presence and recommendation separately, by journey stage and persona, with verbatim engine responses preserved behind every score.
What does “presence is not recommendation” actually mean?+
An engine may list your brand in two answers out of three (strong presence) yet almost never put it forward as the option to consider (weak recommendation). Simple mention counting shows a healthy number and misses the revenue risk entirely. We measure the two separately so a strong presence score can never disguise a weak recommendation rate.
Why do multi-turn conversations matter?+
Real users narrow toward a decision over several questions. A brand can look strong at question one and fade as the conversation closes in. Single-question monitoring structurally cannot see that decay - so the platform simulates multi-turn conversations that narrow toward a choice.
Does the platform check whether AI answers are medically accurate?+
No. The platform makes no judgement on whether an AI answer is medically accurate or label-consistent, and it makes no compliance determination of any kind. It reports what the engines say, how you compare, and what to do about it - humans decide.
Will it generate or publish content for us?+
No. There is no content generation and no publication path in this product at all - an architectural decision, not a setting. Every recommendation is labelled as requiring human review, and nothing is ever published automatically.
Can we see the evidence behind a recommendation?+
Yes. Every finding is traceable back to the original AI responses it came from, preserved word for word, and each opportunity carries the metrics that triggered it one click away. Nothing asks you to take its word for it.
Which AI engines are covered?+
Answers are collected across multiple AI engines and models - including ChatGPT, Gemini and Perplexity-class systems - with every raw response preserved verbatim so any finding can be checked against exactly what the engine said.
How do we get started?+
Book a 30-minute walkthrough. We will show the dashboard, the journey heatmap and the evidence trail on a worked example, with your competitive set in mind - then configure your portfolio, indications and competitors for a live scan.

Find out what AI is telling your market

A 30-minute walkthrough of the dashboard, the journey heatmap and the evidence trail - on a worked example, with your competitive set in mind.

Book a 30-Minute Walkthrough

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