GEO vs SEO: the healthcare marketing strategy for AI search visibility

MARCH 26, 2025

Key Takeaways

• 40 million healthcare prompts are entered into AI tools every day
• Organic search traffic is projected to fall 50% by 2028
• Content strategy and SEO teams must work together from the outset, not in sequence
• Content structure directly influences whether LLMs retrieve and cite your content
• Offsite channels including YouTube, Reddit and LinkedIn feed AI visibility as much as onsite content

The way patients and healthcare professionals find information is changing faster than most organizations are ready for. ChatGPT now has more than a billion users per month. According to OpenAI, over 40 million prompts about healthcare are entered into AI tools every single day. And 31% of US consumers already report using generative AI to research health information.  

This is not a trend to monitor. It is a channel that demands immediate strategic action and it is forcing a fundamental rethink of the relationship between AI and SEO for every healthcare marketing strategy.  

The challenge for healthcare organizations is not simply understanding that Generative Engine Optimization (GEO) matters, most digital and marketing teams already sense that it does. The real challenge is operationalizing it: embedding GEO alongside healthcare SEO services and content optimization into the way organizations work, at scale, before competitors do. 

The problem with how healthcare organizations work today

Most healthcare organizations face the same structural challenge. Their healthcare marketing strategy and content optimization work sits in separate teams. Content strategy is developed independently from SEO or discoverability teams. A brand works with a creative agency to plan and produce healthcare content marketing, and optimization happens later, downstream, as an afterthought rather than a foundation.  

In the world of traditional SEO, this was already suboptimal. In the world of GEO SEO, it is a significant competitive liability.  

The same misalignment exists in measurement. Many organizations are currently tracking organic search rankings and traffic, and they will watch those numbers decline over the next few years as LLM-driven search behaviour continues to grow. Unless measurement frameworks are updated to track AI visibility alongside organic performance, teams will have no way to understand whether GEO activity is offsetting the loss.  

A framework for systemizing GEO 

The organizations that will gain competitive advantage are those that move from brand-by-brand GEO experimentation to a centralized, operational model. Below is a practical framework for doing that.

Start with a central vision that is ambitious but adaptable. At the organizational level, the goal might be to increase organic visibility across brands, maintaining search share of voice while simultaneously building LLM share of voice. Each brand then adapts that goal to reflect where it needs to build visibility along the patient or HCP journey.

Training is essential — not just to build technical knowledge, but to create the organizational imperative to act. When teams understand the scale of the shift in search behaviour, they leave with a sense of urgency that drives change.

Capabilities to build include:

• Understanding how generative engines influence patient and HCP journeys
• Identifying GEO opportunities from keyword and social listening data
• Understanding how patients and HCPs phrase questions differently when interacting with LLMs
• Applying GEO best practices to content planning and production
• Understanding how offsite channel activity contributes to AI visibility
• Measuring and interpreting LLM performance

Equally important is documentation: step-by-step guidance that any team member or agency partner can follow, including checklists that make compliance manageable without requiring full playbook review every time. Working with MLR teams early to co-create guardrails also significantly accelerates the approval process.

One of the most common and costly inefficiencies in large healthcare organizations is fragmented keyword research, e.g. Excel spreadsheets scattered across teams and markets, duplicated and inconsistent. Centralizing this into a cloud-based system, with standardized categorisation by audience type (patient vs HCP), journey stage, and topic area, transforms it from a collection of documents into a strategic asset.

Research from a cross-university study examining 10,000 websites found that organic search rankings and AI Overview appearances do not reliably correlate. What does strongly influence LLM visibility is content format and semantic clarity, specifically, predictable structure, clear headings, and semantically consistent language.

This has direct implications for CMS configuration. If your content management system does not support the page templates and schema required for GEO-optimised content, no amount of editorial effort will fully compensate. Key elements of a GEO-optimised page include:

• A primary question as the content anchor (e.g. “How do I manage Type 2 diabetes?”)  
• A key facts block that LLMs can directly cite in responses  
• Clear H2/H3 heading structure throughout  
• Bullet and list formats for easy comprehension and retrieval  
• Well-mapped internal links to related content  
• Strong structured data markup (schema)  
• Proper citations and referenced sources  

Onsite content tells a story. Offsite authority proves it. LLMs gather information from across the web to form responses and the more authoritative sources that corroborate your content, the more likely an LLM is to trust and cite it.

Offsite activity matters for three reasons: it strengthens authority signals, reinforces entity relationships (helping LLMs understand the connection between your organization, your brands, and the therapy areas you operate in), and places your content on third-party sites that LLMs may themselves use as sources.  

The channels with the highest LLM visibility impact, based on benchmarking data, are YouTube, Reddit, LinkedIn, and high-authority publications such as NIH and peer-reviewed journals. YouTube in particular features heavily; it is the second-largest search engine in the world, and LLMs frequently cite video content. Ensuring your YouTube content is properly optimised and that the relationship between your website and your video content is clear (e.g. embedding and using the YouTube video content within relevant pages) to LLMs is a significant and often overlooked opportunity.  

GEO introduces technical requirements that go beyond standard SEO. A technical SEO audit is a good starting point, but your technical SEO checklist will need to be extended to cover AI-specific requirements. Key areas to address as part of any website launch readiness process include:

• Robots.txt configuration to ensure AI crawlers can access content  
• Site structure and internal linking optimised for AI retrieval  
• Indexation signals: sitemaps, canonicals, and metadata optimised for conversational queries  
•  JavaScript rendering: unlike Google, LLMs cannot read JavaScript-rendered content, making this a critical technical SEO issue for GEO  
•  Page speed and accessibility standards  
•  Schema markup: structured data that helps LLMs understand entity relationships between your organization, brands, and therapy areas  

Measuring GEO performance requires dedicated platforms alongside existing analytics. Just as a technical SEO audit gives you a baseline for organic search health, an AI visibility benchmark gives you the starting point for your GEO strategy. Three platforms worth evaluating to track performance ongoing:

• SEMrush: strong for AI Overview tracking and competitor visibility comparison; useful for understanding seo vs geo performance side by sid
• Omni: deep LLM tracking with in-depth citation analysis and segmentation  
• AccuRanker (AccuLLM): sentiment analysis of AI responses, with SEO and LLM performance side by side, making it easy to see how GEO/SEO activity is shifting over time  

From audit to action: GEO across global markets

Working with a leading global life sciences company, Everybody Agency took a highly centralized approach to GEO, starting with an AI visibility benchmark across hundreds of brand, non-brand, patient, and HCP prompts, followed by a technical audit and sitewide content restructuring at CMS level across all global markets.

LLM referral traffic volumes are still relatively small, but the trend data tells a compelling story, and the quality of that traffic is exceptional. Research shows that a visitor arriving via an LLM is 4.4 times more likely to complete a high-value action than one arriving through organic search. 

The window is open. For now.

There is a direct parallel with the early days of SEO. A decade ago, the most forward-thinking healthcare and pharmaceutical organizations began centralizing their organic search approach, investing in healthcare SEO services and building a digital marketing strategy for healthcare that made discoverability a foundation, not an afterthought. Over time, it became standard practice that no website went live without an SEO process behind it. The organizations that moved early built advantages that took competitors years to close.  

GEO is at that same inflection point. The organizations that systemize it now, i.e. centralizing data, building capabilities, aligning their healthcare content marketing to AI retrieval, and measuring performance across both SEO and GEO, will be significantly ahead by the time the rest of the market catches up.  

The question is not whether to invest in GEO. The question is whether to do it brand by brand, reactively, or to build the centralized capability that makes it systematic, scalable, and genuinely competitive.