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AI in Healthcare A guide for evidence-based engagement
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Healthcare marketing has reached an inflection point. AI is no longer an emerging influence; it’s actively reshaping how people search for care, how brands are discovered, and how decisions are made. For healthcare organizations, this moment demands more than incremental optimization. It requires a rethinking of how growth is powered across the entire patient journey.

As AI-powered experiences become embedded into search, media, and digital engagement, long-standing assumptions about traffic, conversion, and attribution are being challenged. The opportunity now lies in adapting strategies to meet consumers where they are, with precision, scale, and accountability.

AI is changing search, and the funnel with it

For decades, healthcare marketers relied on a familiar model: search leads to clicks, clicks lead to site visits, and visits lead to conversions. But AI-driven search experiences, particularly AI-generated summaries like AI Overviews (AIOs), are disrupting that flow.

In healthcare, this shift is especially pronounced. Because health-related searches fall into Google’s “Your Money or Your Life” category, AI-generated summaries now appear for the vast majority of queries.1 These experiences are designed to surface concise, trusted answers directly within the search environment, often eliminating the need for users to click through to external websites.

The result? Visibility no longer guarantees traffic. And traffic no longer guarantees conversion.

Click-through rates (CTRs) are declining across both organic and paid search, not only when AIOs appear, but as part of a broader behavioral shift. As users grow more comfortable relying on AI-generated answers, sequential searches increasingly happen within AI-driven environments, compressing the traditional funnel and challenging paid search as a standalone acquisition engine.

Sequential searches signal increasing intent

Sequential searches, also known as linear searches, describe a series of related searches a person makes over time as they move toward a decision. Each search builds on the previous one.

Instead of a single query, the user progresses through stages such as:

  • Starting broad or exploratory: “What causes knee pain?”
  • Becoming more specific: “Orthopedic doctor for knee pain”
  • Narrowing by action or location: “Knee specialist near me”
  • Ending with intent: “Book orthopedic appointment today”

In healthcare, sequential searches are especially meaningful because they signal increasing intent. Each query reflects growing clarity, confidence, and readiness to act. Brands that appear consistently across these steps can influence consideration early and capture conversion when intent peaks.

What still works — and what’s evolving in paid search

Despite these changes, paid search remains an important part of healthcare marketing. However, its role within the funnel is evolving.

AI now dominates many broad, symptom-based, and educational queries — areas where generative tools excel at synthesizing information. These upper-funnel searches are becoming less effective drivers of downstream action. As a result, these upper-funnel searches are becoming less reliable drivers of downstream action.

Opportunity remains strongest is in intent-driven searches: finding a provider, locating urgent care, booking an appointment. 

For healthcare marketers, the implication is clear. Investment and strategy must increasingly focus on high-intent, local, and service-driven queries — while rethinking how awareness and education are built earlier in the journey.

Rebuilding the funnel with an omnichannel mindset

As search behavior changes, sustainable growth increasingly depends on a diversified, omnichannel approach. Channels like connected TV (CTV), display, paid social, and digital out-of-home play an important role in reaching audiences at scale, building familiarity, and reinforcing trust — often at lower cost than relying on search alone.

Importantly, these channels don’t replace paid search. They strengthen it.

By introducing consistent, credible messaging earlier in the decision journey, healthcare brands can prime audiences before moments of intent occur. When consumers eventually perform high-intent searches, they arrive with greater awareness, clearer needs, and a higher likelihood to book, schedule, or take action.
In this environment, the goal is orchestration, rather than siloed tactics. Healthcare organizations need a channel-agnostic strategy where each touchpoint contributes to moving individuals from awareness to action.

Measuring success beyond clicks

As marketing strategies diversify, measurement must evolve alongside them. Not every tactic is designed to drive immediate clicks or conversions, and evaluating all media through the same lens can lead to misleading conclusions. Instead, healthcare marketers need a more nuanced framework, one that incorporates metrics such as reach, frequency, audience quality, engagement, and downstream impact. 

Early indicators like view time, interaction rates, and cross-channel exposure provide signals of campaign momentum. Over time, lagging indicators such as ROI and contribution margin validate long-term performance.

Crucially, success depends on understanding who is being reached, not just how often. Audience quality scoring helps validate that campaigns are engaging individuals who are genuinely likely to need care — reducing wasted spend while improving efficiency.

Precision targeting, built responsibly

Advanced targeting in healthcare requires balancing sophistication with compliance.

The most effective strategies integrate multiple data sources — including clinical insights, digital interest signals, consumer data, and claims intelligence — while ensuring protected health information (PHI) and personally identifiable information (PII) remain properly protected. Technologies such as tokenization (replacing identifiers with anonymous tokens), clean rooms (secure environments for data analysis without sharing raw data), and de-identified modeling (analyzing patterns without personal identity) make it possible to build predictive audiences while respecting privacy. 

These models allow healthcare organizations to identify individuals likely to be interested in specific services in the future, assess and drill down on geographic opportunity, and dynamically adjust bidding strategies to maximize marketing impact.

The result is smarter, more precise reach: delivering the right message, to the right person, in the right place, at the right time.

The importance of full-funnel accountability

In this new environment, accountability matters more than ever. Healthcare organizations are increasingly expected to demonstrate how every marketing dollar contributes to growth and value.

Multi-touch attribution helps make that possible by recognizing the full journey rather than focusing solely on the last click. By accounting for meaningful interactions across channels, it assigns appropriate credit to the moments that influence decision-making along the way. When combined with audience quality validation and downstream outcome tracking, this approach provides a more accurate — and more defensible — view of marketing’s true impact.

Final thought

AI isn’t eliminating the healthcare marketing funnel. It’s simply reshaping it. 

Growth in this new era depends on precision, orchestration, and adaptability. Organizations that embrace omnichannel strategies, invest in intelligent targeting, and measure success holistically will be best positioned to thrive.

The path forward isn’t about choosing between search, media, or AI. It’s about integrating them — responsibly, strategically, and always with the patient or consumer at the center.

Healthcare marketing is changing. Is your strategy keeping up? Explore how leading health systems are building smarter audience strategies, orchestrating engagement across channels, and proving the value of marketing across the full journey. Learn how.

SOURCES

1 What Is YMYL & How Does It Affect SEO?, SemRush Blog, https://www.semrush.com/blog/ymyl/