How AI Search Engines See Healthcare Brands: Pharma, MedTech, and Insurers

When a user asks ChatGPT "which blood pressure medication is safer with diabetes," the AI system enters maximum-caution mode. Medicine is a domain where an inaccurate response affects someone's health. This is why the healthcare vertical operates by rules that don't exist in any other industry.

AthenaHQ State of AI Search 2026 (Q1 2026) data offers a rare window into how AI systems process medical queries, which sources they cite, and which content types they promote in responses. Let's unpack the numbers and what's driving them.

Accuracy Above All: Why Healthcare Is the Most Cautious Vertical

The average Brand Mention Rate in healthcare is 17.82%. This is one of the lowest figures across all verticals. For context: in e-commerce, top brands show 87-97% Mention Rates. Healthcare brands are mentioned in fewer than one in five relevant AI responses on average.

The reason is not lack of audience. Medical queries make up a significant share of AI search traffic. The reason is how AI handles medical content.

The Accuracy Above All principle means AI in medical topics applies at least three additional filters before including a brand in a response:

1. Source verification. Information must come from an authoritative medical source — a peer-reviewed journal, official clinical guidelines, or a recognized medical institution. Pharma press releases and promotional materials fail this filter.

2. Consensus check. AI prefers information confirmed by multiple independent sources. A single article on a drug manufacturer's website doesn't create trust. Convergence is required: clinical data + medical media + practicing physician commentary.

3. Default disclaimer. Almost every medical response includes "consult a doctor." This reduces AI's willingness to give specific brand-level recommendations.

The gap between the average brand (17.82%) and leaders (54.33%) is threefold. This is not market concentration — it is a gap in the quality of the information foundation. Leaders passed all three filters. The rest did not.

Top 5 Sources: Why YouTube Outranks NIH

The table below shows where AI draws information when answering medical queries. Data is from AthenaHQ Q1 2026, global.

YouTube in first place is not random. AI systems learned to transcribe and index video content. Physician lectures, clinical case reviews, drug overviews from verified channels — all of this enters AI knowledge bases. A healthcare brand without a YouTube channel or without VideoObject Schema on its videos misses 15% of the potential citation pool.

Reddit in third place aligns with a pattern visible across many verticals: AI values real user experience. In medicine, this is especially pronounced — patient forums, discussions of side effects, and comparisons of treatment regimens from real people give AI "live" information that official sources don't provide.

PMC NIH in fourth place confirms: scientific publications are critical for medical brands. AI actively uses open-access medical journals to verify claims.

A Note on Platform Diversity by AI Provider

Each AI system draws from a different mix of sources. Perplexity is explicit about its citations, showing links to sources in its responses — making citation presence directly traceable. Google AI Overview correlates with what ranks on Google. Gemini leans on Google's knowledge graph. Understanding which domains each AI cites is the foundation of any serious GEO strategy.

Entry Paths: /blog as the Primary AI Access Point

In healthcare, 36.39% of all AI citations happen via blog pages. That is three times more than through the homepage (22.16%).

This pattern diverges sharply from how most pharma and medtech brands structure their websites. The typical setup: a powerful homepage with corporate messaging, product pages with specifications, minimal or absent educational content.

AI sees this differently. It is not looking for "who you are." It is looking for the answer to a specific user question — and most often finds it in educational content. A brand that explains a drug's mechanism of action, describes disease stages, or compares treatment approaches gets cited through /blog.

What this means for different types of healthcare companies:

• Pharma companies: product pages (/products) account for only 10.84%. A disease section with indications, clinical data, and patient-language explanations is essential.
• Medtech: technical device specifications are a weak GEO tool. Clinical use cases and educational content for healthcare professionals perform far better.
• Insurers: policy pages get low citation rates. "How to choose insurance with a chronic condition" guides are what AI picks up.
• Health media: in the most advantageous position — their business model natively produces the content AI wants to cite.

Content Intent: High Comparative — a Healthcare Specific

The intent distribution in healthcare differs from most other verticals — the share of comparative queries is anomalously high.

24.03% Comparative is a high figure. In a typical B2C vertical, comparative queries account for 10-15%. In medicine, users compare drugs, treatment methods, clinics, and insurance plans — and they want AI to help them choose.

This creates a specific opportunity: brands that create high-quality comparative content (honest, grounded in clinical data) have a chance to appear in responses to queries like "which is better — A or B." But quality is critical here — AI will not cite marketing comparisons favoring one product without an evidence base.

Different AI Providers, Different Levels of Informational Caution

Not all AI systems are equally cautious in medical topics. AthenaHQ data shows significant differences in how providers approach medical queries.

Gemini and Copilot are maximally informational. They explain, describe, and educate. If your brand wants visibility in these AI systems, educational content is the only path.

Perplexity is a unique channel. It cites sources explicitly — showing links — which means direct brand name attribution. 22.95% Comparative means users actively use Perplexity to compare medical options. Presence on the sources Perplexity cites is critical. More on the citation mechanics in the article which domains AI cites directly.

AI Overview (Google) shows 25.21% Comparative — the highest share among all providers. Google AI Overview appears directly in search results and often answers queries like "compare health insurance" or "which medication is better for..." For brands competing on specific indications, this is a priority channel.

Practical Steps by Company Type

Pharmaceutical Companies

Pharma companies have a unique competitive advantage — clinical data. But most of it is held behind regulatory restrictions or in formats AI cannot access.

• Publish disease pages explaining mechanism of action, indications, and contraindications in patient-friendly language (not exclusively HCP content)
• Ensure efficacy publication presence in open registries (ClinicalTrials.gov and relevant regulatory databases)
• Create patient content: "Living with [condition]," "FAQ before starting [medication]"
• Implement Organization Schema with the company's medical specialization

Medtech Companies

Medtech brands often focus on technical specifications that AI doesn't prioritize. Clinical content operates differently.

• Publish clinical case studies (with proper anonymization) on dedicated pages
• Create educational content for healthcare professionals: usage protocols, clinical recommendations
• Secure citation in medical journals and professional publications
• Launch video content demonstrating equipment used by practicing clinicians

Health Insurance Companies

Insurers operate in a particularly competitive space for AI: users actively ask "how to choose health insurance" and "compare insurance plans."

• Create detailed guides for choosing insurance with specific conditions or life situations
• Publish transparent comparisons of coverage types (AI rewards honesty here)
• Ensure presence in reviews on financial and medical aggregators
• Add pages with real payout statistics and coverage data — AI trusts specific numbers

Health Media

Health media are the natural leaders of healthcare GEO — but that position requires active defense.

• Enforce strict authorship standards: every article by a physician with credentials and research references
• Maintain content freshness: update dates, links to recent clinical data
• Expand YouTube presence with VideoObject Schema
• Secure scientific citations through collaborations with medical institutions

Checklist: GEO for a Healthcare Brand

• Conduct AI visibility audit: run 25-30 medical prompts in GEO Scout across all 10 providers
• Verify whether key sources cite your brand (Healthline, WebMD, Mayo Clinic for global; relevant national medical platforms for your market)
• Implement E-E-A-T: physician authorship on every article, clinical data references, update dates
• Create or strengthen the /blog section: disease pages, FAQ, comparative materials — this is where AI most often cites healthcare brands
• Add VideoObject Schema to video content (YouTube = 15.25% of healthcare citations)
• Implement Organization Schema + MedicalOrganization markup
• Ensure presence on community platforms: medical forums, professional communities, patient discussion spaces
• Set up monitoring for Comparative queries: this is where 24.03% of intent sits and where brands competing on specific indications have the greatest opportunity
• Check visibility in Perplexity and AI Overview — they deliver the highest share of Comparative and direct citations
• Set realistic KPIs: market average is 17.82%, leaders are at 54.33%. Identify your current level and set the next threshold as your target