AI search intelligence

Verify clinical accuracy for your brands across AI search, ensuring strategic alignment and narrative control

The dual challenge in AI healthcare search

Traditional search monitoring is no longer enough as healthcare professionals and patients now turn to generative AI search engines for medical information. However, being cited or appearing in AI answers is only half the battle. Healthcare and pharmaceutical brands face two critical risks: invisibility and hallucinations/unverified content.

Invisibility
  • Without explicit AI citation your clinical expertise and information could be invisible to HCPs and patients.
Hallucinations & unverified content
  • AI engines are relying on unverified third-party sources, inaccurate information about your brand can spread.

Varn Health help pharma and healthcare brands solve search invisibility and AI hallucinations through four layers of intelligence

1. Visibility intelligence
Are you being seen?
  • Citation analysis across public and gated LLMs.
  • AI brand mention rate and share of AI voice tracking.
  • Domain and source attribution auditing.
2. Perception intelligence
How are you understood?
  • Sentiment and brand interpretation mapping.
  • Associated messaging and entity recognition analysis.
  • Competitive positioning maps (presence vs prominence).
3. Accuracy analysis
Is AI output accurate?
  • Verbatim checking against verified clinical trial evidence.
  • Automated discrepancy and hallucination identification.
  • Knowledge gap detection across care gaps and factual queries.
4. Narrative alignment
Does AI match strategy?
  • Clinical strategy and brand strategy alignment checks.
  • Refining brand positioning across search platforms.
  • Strategic roadmap creation to correct online inaccuracies.

The value of AI search intelligence in pharma and healthcare

Our dual approach to search intelligence, combining our framework and technology protects pharma and healthcare brands in AI search.
  1. Our AI Visibility Framework audits your pharma brand footprint across generative platforms, tracking share of AI voice, source attribution, and brand perception to reveal your true online search presence.
  2. Our proprietary technology the AI Alignment Engine™ compares AI-generated responses against a verified knowledge base to identify factual inaccuracies, knowledge gaps and narrative misalignment.

"We are at an exciting phase with the development of our new proprietary AI Alignment Engine™, which is expanding our capabilities so healthcare and pharma companies can not only track and monitor their AI visibility, but actively check, understand and protect clinical accuracy, controlling their brand narrative online and across AI search platforms."

Tom Vaughton

CEO, Varn Health

Tom, CEO of Varn Health

What is the Varn Health ‘AI Alignment Engine™?

 

To help pharma brands control their digital narrative, we have developed the Varn Health AI Alignment Engine™. Our proprietary technology automatically compares generative AI responses against your verified knowledge base (for example SmPCs, published literature, and brand positioning documents).

Generative AI search platforms do not simply retrieve information, they interpret it. When large language models summarise complex medical data, critical nuances can easily be lost, resulting in factual omissions, misaligned claims, or outright hallucinations.

Our proprietary AI Alignment Engine™ and it’s methodology systematically deconstructs AI responses, testing them against your verified clinical data to pinpoint accuracy gaps which then informs our strategy to help you correct errors, mitigate risks and fill knowledge gaps.

Varn Health AI Alignment Engine™ capabilities

  • Identifies factual inaccuracies: Flags contradictions, hallucinations, and outdated clinical guidelines before they reach HCPs or patients.
  • Highlights narrative gaps: Uncovers where AI platforms miss brand nuances or fail to explain product differentiation.
  • Monitors compliance risks: Ensures AI engines do not generate off-label claims or create regulatory liabilities.

From tracking AI visibility to narrative control across generative search platforms

Varn Health provides a complete AI search intelligence solution that gives your pharma and healthcare business deep analysis, insight and strategies to control the AI narrative.

As well as visibility measures such as how often your brand appears and whether your sources are cited, with our AI Visibility Framework, we compare AI outputs against a defined clinical and strategic knowledge library to assess factual inaccuracies and brand and clinic narrative alignment. 

Our AI search intelligence approach converts complex LLM data into actionable roadmaps for every stakeholder.

 

  • Medical affairs: Protect scientific integrity by identifying and correcting AI hallucinations or outdated guidelines in unbranded disease search.
  • Brand & marketing: Win Share of AI Voice by benchmarking brand perception against competitors and ensuring product claims reflect true positioning.
  • Regulatory & compliance: Mitigate risks by monitoring LLMs to stop claims and compliance issues before they escalate.

 

  • PR & communications: Uncover which medical journals, news outlets, and digital publications AI engines trust most for source citations.
  • Digital & SEO teams: Optimise owned assets to ensure medical content and technical markup are structured for direct LLM ingestion.

Contact our Varn Health team about AI search intelligence

FAQS

AI-powered search is rapidly changing how healthcare professionals and patients find and engage with information. Tools like Google’s AI Overviews, ChatGPT, Claude and Perplexity now summarise content and surface answers; often without users clicking through to websites.

For pharma and healthcare brands, this means that being discoverable, accurate, and trusted in these AI-generated results is essential. If your content isn’t understood or prioritised by these systems, it risks being excluded entirely.

Improving your AI search visibility helps ensure that:

  • HCPs can access reliable, compliant information at the point of need
  • Patients find trusted answers that support informed decision-making
  • Your brand maintains authority and relevance

The AI Visibility Framework from Varn Health helps you adapt to this shift with confidence.

The AI Visibility Framework from Varn Health is a specialist audit and strategy tool designed to help healthcare and pharma brands understand how their content is being interpreted, ranked, and referenced by AI-powered search tools. This includes Google’s AI Overviews, ChatGPT, Perplexity, and other large language models.

It combines technical SEO, content analysis, and competitor benchmarking to give you a clear picture of your visibility across AI search experiences. The goal is to ensure your brand, campaigns, and content are discoverable, trusted, and accurately represented. This is applicable whether your audience is HCPs, patients, or healthcare decision-makers.

The Varn Health AI Alignment Engine™ is proprietary technology that automatically compares generative AI responses against your verified knowledge base (for example SmPCs, published literature, and brand positioning documents). Its methodology systematically deconstructs AI responses, testing them against your verified clinical data to pinpoint accuracy gaps which then informs our strategy to help pharma and healthcare businesses correct errors, mitigate risks and fill knowledge gaps.

GEO is the process of optimising your website and content to appear in answers generated by AI-powered search engines like Google Gemini, AI Overviews and AI Mode, ChatGPT and Claude. It focuses on structuring information so it’s recognised, cited, and summarised accurately by these engines; especially important in pharma and healthcare, where trusted content and compliance are critical.

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