AI answer monitoring for pharma

See what AI says about your pharma brand.

See where your brand appears, what changes, and the answers and sources behind it.

View sample report

ExampleRx · Brand view

Sample

Visibility shift

Needs review

Broad questions mention the brand. Treatment-sequence questions do not.

Broad questionsPresent

Treatment sequenceMissing

Open supporting questions

ExampleRx brand intelligence

In-marketSample data

Executive insight

The brand appears in broad answers. It drops out when treatment questions get specific.

The gap clusters around treatment sequence, administration, and long-term confidence. Those are the questions to open first.

Look at this next

Review 5 priority questions with Brand, Insights, and Medical.

Answers and cited sources attached

Visibility

5 questions explain the drop

Positioning

Strong in broad category answers

Message credit

Convenience is shared

PI alignment

3 answers need review

Message intelligence

What the brand gets credit for

Established efficacyBrand credited

Convenient dosingShared with competitors

Long-term confidenceMissing in 5 questions

Questions driving the signal

Where the team should investigate

Which options follow inadequate response?

Brand absent

How do administration schedules differ?

Shared credit

What shapes long-term treatment choice?

PI review

Question-level answersCited sourcesHuman-reviewed interpretation

AI answer monitoring for pharma

See what AI says about your pharma brand.

See where the brand appears, what it gets credit for, and the evidence behind the answer.

View sample report Try product demo

Questions, cited sources, and PI context included

ExampleRx brand intelligence

In-marketSample data

Executive insight

Needs review

The brand appears broadly. It drops out when treatment questions get specific.

The gap clusters around treatment sequence, administration, and long-term confidence.

Visibility

Positioning

Message credit

PI alignment

Question driving the signal

Which options follow inadequate response?

Brand absent

Visibility

Where your brand appears and where it is missing.

Positioning

How AI describes your brand against competitors.

Messages

What your brand gets credit for.

Sources

Which sources AI cites in the answer.

What your team gets

From signal to next step.

Move from “the score changed” to “here is what we should investigate.”

A clear path from what changed to what deserves review.

A useful monitor does more than count mentions. It helps the team understand the brand story AI is telling, validate the evidence, and agree on the next question.

See how it works

Monitor

See where the brand appears and disappears.

Explain

Open the answers and sources behind the change.

Act

Send one reviewable finding to the right owner.

Monitor the questions that shape the market

Track the real questions patients, HCPs, and brand teams care about across the AI platforms in scope.

A stable view of where the brand appears and where it disappears.

Explain what changed

See the competitors, messages, answer patterns, and cited sources behind the movement.

An insight a brand team can understand, not another unexplained score.

Validate the evidence

Open the captured answer, citation context, and PI alignment before drawing a conclusion.

A reviewable finding Medical and MLR can engage with.

Decide what deserves action

Route a focused investigation to Brand, Insights, Medical, or an agency partner with the evidence attached.

A clear next question, owner, and retest plan.

Guided product story

Start with the brand. See the messages. Open the evidence. Bring in Medical when it matters.

Fictional brand and sample data. Walk through brand performance, priority questions, message credit, sources, and PI review. Switch between in-market and pre-launch to see how the interpretation changes.

Illustrative product view · Sample data

Brand view

What changed and what comes next?

ExampleRx brand view

Visibility needs attention

Five questions account for most missed mentions.

Visibility74

Positioning81

Message credit72

PI alignment91

Brand insight

What explains the change

The useful insight

ExampleRx appears in broad category answers but drops out on treatment sequence, administration, and long-term confidence questions.

One view, different jobs

Useful to Brand. Reviewable by Medical. Ready for the agency working session.

Everyone sees the same question, answer, sources, and context. Each team gets the part of the decision it owns.

Brand and omnichannel

See visibility, competitive framing, message credit, and the questions behind the change.

For brand teams

Medical and MLR

Review the exact answer, cited source, message context, and PI alignment before the team acts.

For medical teams

Insights and portfolio

Keep the question universe, provider scope, lifecycle, and trend context clear across brands.

For insights teams

Agency partners

Build evidence-rich client baselines, find the story behind the score, and bring each issue to the right client owner.

For agencies

Built for pharma

Choose the right view.

The right questions for every stage.

Match the analysis to the decision.

Pre-launch assets and in-market brands need different analysis. AI Pulse keeps the context clear.

Pre-launch In-market brands Medical & MLR Portfolio leaders

Narrative formation

Pre-launch

See the story forming around the disease, mechanism, class, and asset before launch.

Brand performance

In-market brands

Track visibility, positioning, message credit, evidence, and the questions most worth investigating next.

Reviewability

Medical & MLR

Open the answer, source, and claim context needed for review.

Portfolio decisions

Portfolio leaders

See which brands need attention while keeping launch stage and market context in view.

Evidence included

Never stop at the score.

Open the question, AI answer, cited source, and message context behind each result. Your team makes the call.

Exact AI answer

A clear owner

Consistent measurement

Human review

See the methodology

Evidence trail

1Priority question↓

2Captured AI answer↓

3Brand and message observation↓

4Source and citation context↓

5Human-reviewed next step

Illustrative workflow. Evidence requirements and approval pathways are configured with each organization.

Evidence attached

See the answer behind the insight.

Question, answer, source, and next step—kept together.

Exact answer

Cited source

Human review

View sample report Read the methodology

See the thinking in context

Examples that show the work, not just the promise.

The report is fictional. The case studies are clearly labeled composite scenarios. The methodology pages explain how share-of-answer and PI-backed review work in detail.

Product example

ExampleRx in-market report

A complete fictional readout with brand insights, messages, priority questions, cited sources, and next steps.

Open sample report

Composite example

Building a launch GEO baseline

See how a specialty launch team could structure the question set, diagnose competitive gaps, and organize follow-up.

Read composite example

Composite example

Global omnichannel governance

See how global, local, brand, and Medical teams could investigate narrative drift with clear ownership.

Read composite example

Share-of-answer methodology PI-backed claim methodology

See what a full report looks like.

Review a realistic sample with the executive summary, priority questions, cited sources, and next steps.

View sample report

Start small

Start with one brand.

Start with one brand and one decision.

We’ll scope the smallest useful baseline.

Tell us the brand, indication, launch stage, and questions your team tracks. We’ll scope the smallest useful baseline and show you the answers behind it.

One brand or asset

A focused baseline

No generic pitch