How do I see what ChatGPT tells patients about our hospital?

Add the prompts patients ask, from condition questions to "best clinic for" queries in your region. LLM Pulse records every answer weekly, with each mention of your organization and its sentiment.

AI gives outdated information about one of our treatments. What can we do?

Trace the claim to its cited sources. If the source is your own page, update it. If it is a third-party article, you know exactly where to direct outreach. Weekly runs confirm when the answers change.

Can pharma teams monitor how AI describes their products?

Yes. Track how each model describes a product against the information you publish, and archive every answer for internal review. LLM Pulse reports what AI says and makes no medical claims of its own.

Which sources do AI models cite for health questions?

Citation sources analysis ranks every cited URL. For health prompts that is typically medical reference sites, news coverage, institutional pages and patient forums.

Does LLM Pulse verify medical accuracy?

No. LLM Pulse shows you what AI says and where it comes from. Judging clinical accuracy stays with your medical and regulatory teams.

How often are answers refreshed?

Prompts run weekly across ChatGPT, Perplexity, Gemini, Google AI Overviews and Google AI Mode on every plan, so 50 prompts equals more than 1,000 AI evaluations every month.

Plans start at EUR 49 per month with a 14-day free trial.

For Healthcare & Pharma

Know what AI tells patients about your brand

Patients and professionals ask AI about treatments, medications and providers every day. Monitor what each model says about your organization, trace claims to their sources, and correct outdated information where AI actually reads it.

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From a wrong health answer to the page that caused it

The monitor, trace and correct loop hospitals, clinics and pharma teams run every week.

Citation Sources

The sources of record behind patient answers

When AI describes a condition you treat or a product you make, it leans on medical reference sites, news coverage and patient forums, with your own pages somewhere in the mix. This ranking shows which of them carry your prompts, so an outdated claim stops being an abstract worry and becomes a specific article with an owner.

Reference sites and forums ranked by weight
Your pages measured against third-party sources
Each wrong claim mapped to its article

Explore Citation Sources Analysis

The sources of record behind patient answers

Sentiment Tracking

Catch the turn in tone before patients do

One negative story can shape how models frame a hospital or a product for months after the facts change. Sentiment is scored weekly on every mention of your organization, per model, so communications teams see the dip start, act on it, and watch the recovery on the same chart.

Weekly tone per model, per mention
Negative turns flagged while still small
Recovery visible after the correction ships

Explore Sentiment Tracking

Catch the turn in tone before patients do

Correction Workflow

An ordered queue for medical and content teams

Findings arrive as prioritized actions, from refreshing a treatment page to earning a citation on a reference site models already read. Each card ties to the patient prompts it affects, so review time goes to the fixes that change answers. The next weekly run confirms what worked.

Fixes ranked by patient-facing impact
Each action tied to specific prompts
Weekly runs verify every correction

Explore Content Recommendations

An ordered queue for medical and content teams

Why Healthcare Teams Choose LLM Pulse

When AI answers a health question wrong, the brand named in the answer carries the risk.

Track Patient-Facing Prompts

Monitor the questions patients ask about the conditions you treat and see when your organization gets named.

Catch Outdated Information

Read the full answers about your treatments, services and locations, and spot claims that no longer match what you publish.

Trace Every Claim to Its Source

Each answer lists the pages AI cited, so you know exactly which outdated article or forum thread to address.

Measure Sentiment Week by Week

A sentiment score on every mention shows how the tone toward your brand develops over time.

Benchmark Against Other Providers

Compare visibility and share of voice with the hospitals, clinics or manufacturers patients weigh you against.

Turn Findings Into Fixes

Content recommendations and GEO optimization audits point to the pages to update so cited sources carry current information.

How It Works

Monitor first, then correct through the sources AI already reads.

1

Add the questions patients ask

Condition prompts, provider comparisons and medication queries, scoped to the regions and audiences you serve.
2

Record answers weekly

Every plan runs your prompts across 5 AI models each week and stores the full answer text.
3

Trace claims to sources

Citation analysis shows which pages produced an outdated or inaccurate description of your brand.
4

Correct through the sources

Update your own pages, direct outreach at third-party citations, and verify the change in the next run.

Built for Healthcare Use Cases

Where healthcare and pharma teams put LLM Pulse to work.

Hospitals and clinics

Track "best hospital for" and condition-level prompts in the regions you serve.

Pharma brands

Monitor how AI describes your products and which sources those descriptions cite.

Digital health

See whether AI recommends your app or service on category prompts against other providers.

Patient trust

Follow sentiment on your brand's mentions and catch a negative turn before it spreads.

"LLM Pulse has allowed us to better organize our work and prioritize key actions. It gives us much greater clarity when implementing new ideas and makes reporting easier, with metrics that were previously complex and difficult to obtain."

Sandra Vargas

Euroinnova

Frequently Asked Questions

Common questions from hospitals, clinics and pharma teams.

: Add the prompts patients ask, from condition questions to "best clinic for" queries in your region. LLM Pulse records every answer weekly, with each mention of your organization and its sentiment.
: Trace the claim to its cited sources. If the source is your own page, update it. If it is a third-party article, you know exactly where to direct outreach. Weekly runs confirm when the answers change.
: Yes. Track how each model describes a product against the information you publish, and archive every answer for internal review. LLM Pulse reports what AI says and makes no medical claims of its own.
: Citation sources analysis ranks every cited URL. For health prompts that is typically medical reference sites, news coverage, institutional pages and patient forums.
: No. LLM Pulse shows you what AI says and where it comes from. Judging clinical accuracy stays with your medical and regulatory teams.
: Prompts run weekly across ChatGPT, Perplexity, Gemini, Google AI Overviews and Google AI Mode on every plan, so 50 prompts equals more than 1,000 AI evaluations every month.
: Plans start at EUR 49 per month with a 14-day free trial.