First things first: if you're reading this from anywhere between Texas and Maine, I hope you're staying warm and safe after the storm and amidst the freezing cold. Hopefully, this newsletter can provide you some company.

January just gave us the clearest signal yet that healthcare's visibility game has permanently changed.

Within a single week, OpenAI launched ChatGPT Health. Anthropic followed with Claude for Healthcare. Amazon rolled out Health AI for One Medical members. Three of the world's most powerful tech companies all made the same bet at the same time: AI is becoming the front door to healthcare.

They're not wrong. And if teams are still focused on traditional Google rankings while ignoring where patients and HCPs are actually going for answers, it’s important to not fall behind.

There's a pattern in technology adoption that most marketers ignore: the J-curve.

MIT researchers studying AI adoption found that organizations experience an initial productivity decline – sometimes as steep as 60 percentage points – before the gains kick in. The companies that push through? They achieve outsized returns. The ones that wait for "proof" before acting? They get left behind while competitors climb.

We're at the bottom of that curve right now for AI-powered health search.

Gartner predicts traditional search engine volume will drop 25% by 2026 as users shift to AI. Meanwhile, over 40 million Americans already turn to ChatGPT daily for health questions. 230 million globally ask health and wellness questions on the platform every week.

If your brand isn't showing up in AI-generated answers, you're invisible to a rapidly growing segment of patients researching treatment options – and increasingly, to the HCPs using these tools to stay current.

There's a new discipline emerging called GEO: Generative Engine Optimization. Fancy name, simple concept: structuring your content so AI systems can discover, understand, and cite your brand when people ask health questions.

2025: "How do I rank on page one for 'Type 2 diabetes treatment'?"

2026: "When a patient asks Google about newer diabetes medications, does my brand get mentioned? When an HCP asks ChatGPT to summarize recent trial data, is my study being cited?"

Patients aren't typing keywords anymore. They're asking full questions: "I'm on metformin but my A1C is still high… what are my options and what should I ask my doctor about?" Your content needs to answer real questions, not just contain the right words.

Clicks are becoming less important than citations. AI search wins when it pulls your clinical data or trial results into its answer. The click may never happen but the brand impression does.

AI builds knowledge graphs, not page rankings. These systems connect drugs, conditions, mechanisms, trials, and outcomes. Your brand needs to exist as a verified entity in that web.

OpenAI's ChatGPT Health launched January 7th. Users can connect medical records and wellness apps directly to the chatbot. When someone asks "what should I know about switching to [your competitor's drug]," ChatGPT now has context you don't control.

Anthropic's Claude for Healthcare followed on January 11th. HIPAA-ready infrastructure, connectors to CMS databases and ICD-10 codes, PubMed integration. Claude is positioning itself as a clinical decision support tool. When an HCP asks it to compare efficacy data across a drug class, what sources is it pulling from?

Amazon's Health AI rolled out January 21st for One Medical members. It already has access to medical records, lab results, and medication history with no uploads required. Amazon isn't building a chatbot. It's building an end-to-end healthcare funnel that your brand may or may not be part of.

Here's the part that should get your comms team's attention: the traditional media hit is evolving.

For years, the playbook was straightforward: land coverage in major outlets to boost your visibility, impressions, and Google authority. That still matters. But AI systems don't just pull from your owned properties or the top Google result. They synthesize from medical news outlets, peer-reviewed journals, clinical databases, and yes, that trade publication interview that your executive did last quarter.

Every piece of earned media is now a potential AI training signal. That byline in STAT. That quote in Fierce Pharma. That data release picked up by Reuters. AI systems cross-reference credibility across sources.

PR isn't just about awareness anymore; it's about AI discoverability. Your media strategy needs to account for how content gets indexed, structured, and surfaced by systems that don't click links. They just absorb information.

When these AI systems answer questions about your therapeutic area, where is that information coming from?

The pharma companies showing up in AI answers right now have a few things in common:

Their clinical data is structured for machines, not just humans. If your product information isn't machine-readable, it doesn't exist to these systems.

Their unbranded content earns trust. Disease state education sites matter more than ever… but only if they're built for AI consumption.

They're publishing fresh data. AI favors current information. That outcomes study from 2019 is getting deprioritized against competitors with recent publications.

Audit your AI presence this week. Ask ChatGPT and Claude about your condition, your drug class, your specific brand. Ask comparative questions. See what comes back.

Map your content to real questions. What are patients and HCPs actually asking? Transform your content into formats that directly answer those questions.

Think beyond your owned websites. AI pulls from medical news, journals, clinical databases. Medical affairs and comms teams need to think about AI discoverability across every channel.

MIT's research shows that digitally mature companies recover faster and benefit sooner from new technology adoption. The gap between leaders and laggards widens over time.

The pharma companies investing in AI visibility now – while competitors are still running last year's (or last decade’s!) playbook – will be the ones these systems learn to trust and cite.

OpenAI, Anthropic, and Amazon just told us where healthcare discovery is headed.

The question isn't whether to adapt.

It's whether your brand will be visible when patients and HCPs ask.

Anthropic just announced an integration of Figma, Slack, Canva, and others directly into Claude’s chat interface. It’s becoming the Everything App right before our eyes - and in rapid pace.