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Use case · Digital health

Recommended when patients ask AI.

Health app companies use aillmz to see how AI assistants recommend their app and fix inaccurate claims.

Book a discovery callHow we build it
The problem today
×Patients ask AI for app recommendations
×Outdated claims in answers
×Competitors cited instead
The outcome Accurate, frequent recommendations in AI answers. Talk to us about this
How it runs

Step by step.

1
Key health questions tracked
2
Inaccurate claims flagged
3
Fixes made at the source
4
Citations tracked over time

The agents involved

Mention tracking agentChecks what AI assistants say about you, every day.Explore this agent →
Accuracy agentCatches wrong or outdated facts in AI answers.Explore this agent →
Outreach agentGets you into the sources AI relies on.Explore this agent →
More use cases
Agencies & creators →Law firms →Accounting & finance →SaaS companies →E-commerce brands →Schools & universities →

What users ask assistants about health apps

People ask assistants which app can help with a routine, such as tracking sleep or managing reminders. The answers can include features you no longer offer or prices you changed. The mention tracking agent logs what is said, and the accuracy agent compares it with a fact sheet your team approves.

The source mapping agent then points to the pages repeating old details, for example app directory entries and review articles. Each outdated detail is listed with its source, so your team can request an update with evidence in hand and re-check afterwards to confirm the change has taken effect.

Clear limits for a sensitive field

The agents do not diagnose, give medical advice or judge clinical claims. They check how your product is described and nothing more. Anything touching safety, evidence or clinical language is reviewed by a qualified person on your team before a source is changed. Your team stays responsible for all public claims.

  • Fact sheet signed off by product and clinical leads
  • Claims limited to what you can support
  • No patient data needed for tracking
  • Escalate anything clinical to your staff
  • Re-check answers after each correction

What to prepare

Before we start, gather the facts a user would ask about: features, platforms, pricing, privacy statement and the claims the company is comfortable making. A short document approved by a senior person is enough. If your product is regulated, tell us on the first call. We adjust the checks to your rules, and we leave anything clinical to your own qualified staff.

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01A 30-minute call with the rainmindz team02A written agent blueprint within a week03No commitment until you approve it
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