Generative Engine Optimization (GEO) for HCP portals

HCP Portals in the Age of AI Search: A Practical Guide to Generative Engine Optimization (GEO)

AI search engines are changing how HCPs find medical info. Learn how to make your HCP portal visible, engaging, and AI-ready in this guide.

Generative Engine Optimization (GEO) is the evolution of traditional SEO for the AI era. Instead of optimizing only for Google rankings, GEO for HCP portals ensure the content is discoverable, structured, and trustworthy enough to be cited, summarized, and recommended by AI tools like ChatGPT, Perplexity, Gemini, and Claude.

With 40% of HCPs using AI to support diagnosis, pharma companies must rethink their portal structure.

Your HCP portal may become invisible if you don’t optimize it for generative engines. This can happen even if the science is strong.

What Is Generative Engine Optimization (GEO)?

Generative Engine Optimization (GEO) means improving digital content so AI search systems can understand, extract, summarize, and cite it.

Unlike traditional SEO, which targets search rankings, GEO aims to earn citations in AI-made answers.

GEO vs. Traditional SEO

Traditional SEOGenerative Engine Optimization (GEO)
Optimizes for Google rankingsOptimizes for AI citations
Keyword-focusedStructure + clarity-focused
Backlinks drive authorityExpertise + trust drive citation
Blue linksAI summaries

A Practical Guide to Generative Engine Optimization (GEO) for HCP Portals

In a world where more people use ChatGPT before Google, even top pharma content can become hard to find.

It may be easy to dismiss artificial intelligence in pharma and how HCPs search for information.  

But we are heading toward a world where AI searches will be the norm.

Many portals still rely on basic SEO. This approach makes it difficult for HCPs to efficiently find relevant information and answers to their queries. However, Generative Engine Optimization (GEO) for HCP portals addresses this limitation.

Unlike traditional search engines, AI tools don’t return a list of blue links, but they summarize, cite, and synthesize.

People aged 18 to 34 use ChatGPT more often than Google. That’s what a recent Semrush research reveals about how people interact with ChatGPT. 

On top of that, people aged 35-44 are becoming more accustomed to using AI chatbots.

Audience demographics - ChatGPT vs Google - study by SemRush
Data source: Investigating ChatGPT Search: Insights from 80 Million Clickstream Records

HCPs are no different. 52% are using AI for searching, summarising, or analysing scientific literature, according to Graphite Digital’s research.

The gap is closing. Younger healthcare professionals are more comfortable with technology, and they’ll dominate the workforce within a few years.

The Problem: Pharma’s SEO Playbook Is Outdated

Pharmaceutical websites and HCP portals have prioritized long-form content, static PDFs, slide decks, and compliance-heavy gated access.

These formats work better when the traffic source is sales reps. Or when the main focus is on traditional Google indexing and keyword strategies.

However, these assets often resemble regulatory documents and provide little value to AI systems. AI chatbots prioritize clarity, structure, and user-centric responses.

An Eolas research found that over 45% of clinicians had used AI to answer clinical questions.

Healthcare professionals increasingly use AI as a complementary tool and rely on AI generated responses. They are consulting it for insights while cross-checking its recommendations against their expertise or reliable sources.

That’s a structural shift.

Delivering clear value through short, interactive content for HCPs is now a must. It should meet their high expectations and limited time.

AI chatbots won’t summarize or cite a gated PDF containing dosing guidelines.

And if it’s invisible to AI, it might as well not exist.

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1. The New Search Reality: From SEO to Generative Engine Optimization (GEO)

Pharma companies have primarily relied on traditional SEO tactics.

That meant:

  • Keyword-focused landing pages
  • Long-form content
  • PDFs filled with clinical detail
  • Backlinks from trusted websites

But behavior is changing. The SEO focused world in which HCPs were willing to browse multiple Google searches is fading.

Generative Engine Optimization (GEO), also known as AI Search Optimization (AISO), is the next evolution.

Unlike traditional SEO, GEO is not about ranking in Google’s top 10 links.

GEO means optimizing content so AI systems can cite, summarize, or recommend it directly in their answers.

That means:

  • Clear structure
  • Machine readability
  • Trust signals
  • Evidence-backed claims

A recent CMSWire article explains it well:

“Traditional SEO relies on search engines crawling links and ranking content by relevance. AI search, by contrast, synthesizes information across multiple sources to deliver direct answers, and often only credits a few.”

CMSWire

Is SEO dead?

No, and it likely won’t be for a long time. It should stay in your digital marketing toolkit.

Strong SEO is now a prerequisite for effective GEO.

AI agents often start with top-ranked content when generating summaries or answering questions.

That means AI tools are much more likely to see and cite your page if it already ranks on Google’s first page.

However, SEO today encompasses more than just keyword density or backlinks.

To succeed in this new hybrid world of traditional and AI search, SEO must evolve. It must:

  • Focus on comprehensive topic coverage that addresses real user (and HCP) intent
  • Creating content that is structured and easy-to-summarize, instead of long pages or gated PDFs
  • Demonstrate expertise, trust, and originality, which both search engines and AI models reward
  • Include question-based phrasing that mimics the natural way professionals now ask AI tools for help

So, search engine optimization isn’t dead; it’s just getting smarter.

Think of it this way:

Good SEO gets you indexed. Great GEO gets you cited.

As Tom Vaughton, CEO of SEO agency Varn, said during our webinar, “HCP portals that actually work

“If your HCP portal content isn’t optimized for how doctors and HCPs search today, it’s invisible, even if it’s brilliant.”

Tom Vaughton

2. How AI Search Changes HCP Engagement

More physicians are skipping Google entirely and asking ChatGPT clinical questions.

The Impiricus & CMI Media Group survey found:

  • 51% of HCPs use generative AI
  • 71% of primary care physicians use AI
  • 36% of dermatologists use AI
How HCPs are Integrating AI and Innovations for Daily Practice
Data source: How HCPs are Integrating AI and Innovations for Daily Practice

The research also analyzes how HCPs utilize AI tools:

  • 42% Clinical decision support & medical questions
  • 32% Documentation & charting
  • 10% Drafting emails, letters, & other writing
  • 10% Prior authorizations
  • 6% Research Summaries

This data shows a major opportunity for pharma portals.

If your content answers the types of structured clinical questions AI systems summarize, your visibility increases dramatically.

The Pharma-Specific GEO Opportunity

Yes, HCP portals must remain gated, especially in the EU. But that doesn’t mean content must be invisible.

Generative Engine Optimization for HCP portals means structuring what can be public without breaching compliance.

Examples:

  • Executive summaries of gated content
  • Non-promotional scientific insights
  • FAQ pages
  • Dose comparison tables
  • Structured HTML summaries of PDFs
  • References to guidelines and publicly available evidence

AI systems prioritize:

  • Clear claims
  • Evidence-backed statements
  • Expert attribution
  • Updated content
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3. Practical Steps to Optimize Your HCP Portal for GEO

3.1 Structure Content for AI Visibility

AI systems may stop reading after a token limit, as many AI systems operate with timeouts. 

Here’s how to structure your content for maximum AI visibility:

Place key information high on the page

Important facts, takeaways, and answers should be at the top of each page before brand messages.

Use semantic markup (schema.org)

Structured data, such as FAQ, Breadcrumb, and VideoObject, helps AI systems understand the type and purpose of your content.

For pharma-specific content, consider adding markup around authorship (Person) and medical terms where possible.

Create teaser pages for gated content

Create public-facing teaser pages with summaries of gated documents: 

  • Key findings
  • Bullet lists
  • Key visuals
  • Call to action buttons

AI will more likely index the value of your content without breaching compliance.

Optimize for conversational, question-style searches

AI tools answer natural questions, such as “What are the latest safety concerns with SGLT2 inhibitors?”

Reflect this behavior in your content. 

Include:

  • Q&A sections
  • Conversational headings
  • Long-tail questions

Use clear headings, bullet points, and relevant visuals

AI loves scannable formats. Use:

  • H2/H3 headings
  • Concise paragraphs
  • Bullet lists
  • Charts
  • Infographics
  • Annotated diagrams
  • Embedded explainer videos

If PDFs are required, duplicate key content in HTML summaries

If you must use PDFs, create an HTML page summarizing their key points in structured text. 

This approach enhances both SEO and generative search, improving the user experience for mobile visitors.

3.2 Demonstrate Authority, Trust & Relevance

AI tools prioritize reliable sources.

To become a credible source of information, an HCP portal must demonstrate clinical rigor, professional expertise, and transparency. Leveraging HCP behavioral insights and demonstrating a deep understanding of HCP needs is crucial to signaling trust.

Here’s how to build that trust:

Display E-E-A-T signals: Expertise, Experience, Authoritativeness, Trustworthiness

Originally coined by Google, these signals influence AI search tools. 

One key step is to ensure your content reflects:

  • Medical expertise (e.g., authored by specialists)
  • Real-world experience (e.g., clinician insights or case studies). 

Display author names and credentials (MD, PhD). Include their professional group and expertise on both teaser and gated content.

AI tools utilize this metadata to determine if the content is medically reliable and worthy of citation.

Next, show your content is trustworthy by referencing:

  • Respected healthcare professionals
  • Clinical guidelines
  • Medical journals
  • Product SPCs (Summaries of Product Characteristics). 

Use up-to-date, comprehensive, and well-cited content

AI systems value recency and thoroughness. Your content should:

  • Reflect the latest data, 
  • Include clear guidelines and treatment options
  • Include citations and links to sources

AI tends to prefer content sources that cover a topic in depth and clearly reference supporting evidence.

Free webinar:
Why HCPs Aren’t Engaging With Your Portal — Can AI Fix It?
A deep dive around the current state of HCP portals, the most pressing challenges, and the role of AI in shaping the future of HCP engagement.

3.3 Technical Readiness for GEO

AI systems have limited patience for:

  • Slow pages
  • Messy code
  • Poor navigation

Here’s how to make your portal technically ready:

Get indexed: check robots.txt, sitemaps, and firewall rules

Allow limited crawler access by setting up proper rules in robots.txt, submitting structured sitemaps, and whitelisting trusted AI crawlers (where appropriate).

Use intuitive navigation and ensure fast loading

Our HCP portal Audit and Report shows that most portals offer cumbersome access, including lengthy forms and registration processes. 

Source: HCP Portal Audit and Report

The Value Gap market research confirms that poor digital experiences are the primary driver of 65% of HCPs reducing or stopping engagement with a pharma company. 

These discourage physicians from signing up, leading to low HCP portal adoption.

Optimize your portal for GEO by including:

  • Breadcrumbs (navigation links that show users their current location on a website)
  • Easy content filtering 
  • Self-personalization features (allowing HCPs to choose the channels, content, and frequency of communication)
  • Reduced login steps
  • Content summaries
  • Fast loading speeds by using compressed images, browser caching, and mobile responsiveness

Create an llms.txt file to manage AI crawler permissions

Similar to robots.txt, the emerging llms.txt (Large Language Models or LLMS crawler rules) standard allows site owners to signal how and whether AI agents can use their content.

While still evolving, adopting this early signals your readiness for AI integration and helps you manage content governance and get brand mentions.

4. Measuring GEO Performance

AI search isn’t a black box. If you know where to look, you can measure the performance of your content across AI platforms.

Here’s how to keep a pulse on your AI visibility.

4.1 Monitor AI-driven traffic and citations

Watch your Google Analytics and Google Search Console for new referrers (e.g., Perplexity.ai or Claude.ai). 

Look for sudden spikes from AI-generated summaries or specific branded queries that resemble AI suggestions.

This way, you can identify which gated pages attract clicks and show what works and what doesn’t.

Lately, SEO tools like Semrush, Ahrefs, and others have added AI visibility features. They allow you to track prompts and see when AI cites your portal’s content. Plus, they offer recommendations to get better results.

4.2 Evaluate engagement: time on page, conversion from teaser to login, downloads

Key metrics to monitor HCP engagement include:

  • The time they spend on a teaser page
  • The number of document downloads
  • Conversions from gated content

If your AI-optimized summaries aren’t converting, revisit the structure, clarity, trustworthiness, or calls to action.

Build a content operations loop: 

  1. Monitor trends and track prompts 
  2. Update low-performing assets and content
  3. A/B test different formats or question structures to learn what artificial intelligence chatbots prefer to summarize and cite.

Key Takeaways: Generative Engine Optimization for HCP Portals

  • GEO ensures visibility in AI-generated answers.
  • SEO remains foundational, but structure now drives citation.
  • AI tools prioritize trust, clarity, and evidence.
  • Public summaries help people find gated content.
  • Technical readiness directly impacts AI visibility.

5. Looking Ahead

We’re standing at the edge of a shift that will change how HCPs interact with medical content.

As AI-powered tools are becoming the primary gateway to information. AI search is replacing traditional search engines, rewriting the rules of digital visibility in real time. 

Innovative AI tools are simplifying complex health data, enabling healthcare providers to make informed decisions and enhance engagement.

The question is no longer:

“Are we optimized for Google?”

It’s:

“Are we optimized for Generative Engines?”

Early adopters of Generative Engine Optimization (GEO) will gain:

  • Greater AI visibility
  • Increased trust
  • Stronger HCP engagement
  • Competitive advantage

Future-proofing your digital presence starts now:

  • Audit your content and technical readiness for AI visibility
  • Iterate regularly to keep pace with new tools and behaviors.
  • Educate your teams on the principles of GEO and embed them into every new initiative.

Smarter discoverability will define the next generation of HCP engagement.

FAQ: Generative Engine Optimization (GEO) for Pharma

What is Generative Engine Optimization (GEO) for HCP portals?

GEO helps pharma content get discovered, cited, and summarized by AI systems like ChatGPT and Perplexity.

Is GEO replacing SEO?

No. SEO remains essential. GEO builds on SEO to improve AI visibility.

Can gated HCP portals be optimized for AI?

Yes. Structured public summaries and metadata allow AI systems to understand portal content without breaching compliance.

Why is GEO important for HCP engagement?

Because more than half of HCPs already use AI tools in their workflows.

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