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Google’s Internal SEO Battle: SERP vs. AI Overviews

The landscape of online search is undergoing significant change as Google experiments with artificial intelligence (AI) to directly answer users’ questions on search engine results pages (SERPs).

This shift raises questions about how traditional SEO practices, which focus on generating organic traffic through clickable links, will coexist with AI-generated overviews that provide instant responses.

This transition will impact patient outreach, SEO strategy, and even compliance considerations for medical clinics, whose practice managers rely on web traffic to educate potential patients and facilitate appointment bookings.

1. The Shift from SERP to AI Overviews: The Transformation of Google Search

Google’s focus has always been on improving the user experience, and its AI-powered summaries mark a new stage in the evolution of search engines.

The traditional SERP setup was centered around a list of links users could click to find information.

With the advent of AI, Google is increasingly transitioning into an “answer engine” where users can find the information they need without leaving the search page.

Decline in Organic Clicks and Implications for Clinics

A study revealed that only 37% of search queries now lead to clicks on external sites, a decline attributed to Google’s direct answers in SERPs.

AI-generated responses to queries have contributed to this trend, as these summaries allow users to find basic information without clicking through individual websites.

For medical clinics, this trend could mean a significant drop in traffic to informational pages on treatment options or contact pages for appointment bookings, potentially reducing patient inquiries.

AI Summaries and Featured Snippets: A Competitive Space

Google’s AI Overviews and featured snippets are highly visible on the SERP, occupying prime digital real estate that drives traffic to clinic websites.

Now, users might find answers to common healthcare questions, such as “What is physical therapy?” or “How do I treat chronic back pain?” directly on the results page without the need to click further.

Practice managers must consider how their content can compete for visibility in this new search landscape.

2. Impacts on Medical Clinics: What Practice Managers Should Know

For clinics that depend on website visits for patient engagement, the rise of AI Overviews has several implications, including the need to adapt current digital marketing and content strategies.

Clinics must consider how their online visibility and patient engagement might change as AI-generated content becomes more prominent on SERPs.

Traffic Declines by Industry: Healthcare at Higher Risk

Different sectors have experienced varied impacts from AI Overviews.

The effect may be particularly pronounced in healthcare, where accurate and reliable information is critical.

Estimates suggest that AI Overviews could reduce website traffic by 25-60% in specific industries, including healthcare.

Given the high rates of AI-generated summaries appearing in healthcare-related searches, practice managers should prepare for possible declines in organic traffic, which could affect patient outreach.

Local Searches and Clinic Visibility

Google’s AI tools have enhanced the importance of local searches, especially for phrases such as “urgent care near me” or “best dermatologists in [city].”

Optimizing Google Business Profiles and Online Reputation Management are more essential than ever for practice managers, as local search results can help clinics stay visible to nearby patients.

AI Overviews in local search results now pull details from Google Business Profiles and other reputation sites, including hours of operation, contact information, and reviews.

This visibility can be advantageous if profiles are accurate and up to date.

3. Evolving SEO Strategies: Balancing SERP Optimization with AI-Focused Tactics

SEO strategies must evolve with Google’s focus on AI-driven search enhancements.

Practice managers accustomed to traditional SEO techniques may find themselves in a landscape where optimizing for AI-driven answers and organic search results requires a dual approach.

Quality Over Quantity: Emphasizing Authoritative Content

AI-driven search prioritizes relevance and quality, particularly in Your Money or Your Life (YMYL) topics, which include healthcare information.

This shift underscores the importance of quality content that is well-sourced, trustworthy, and relevant to patient needs.

Practice managers should consider developing a content strategy that emphasizes authoritative information and answers common patient queries succinctly, potentially increasing the chances of their content appearing in AI-generated summaries.

Positioning for AI Overviews and Featured Snippets

Although not every clinic will appear in AI Overviews, structuring content to align with common patient questions—using headings and summaries—can help improve visibility.

Additionally, including sections that concisely answer popular patient inquiries can increase the chances of a website’s information being selected for featured snippets.

Medical practices should prioritize high-quality answers to specific patient questions such as “What are the symptoms of type 2 diabetes?” or “What treatments are available for arthritis?”

Keyword Research in an AI World

As search queries become more conversational, long-tail keywords become an effective strategy for attracting qualified traffic.

These keywords are specific, often less competitive phrases that can capture niche searches, such as “physical therapy for arthritis pain relief in [city].”

Practice managers can optimize for these keywords by creating content that answers specific patient queries, potentially driving quality traffic from users closer to booking an appointment or seeking care.

4. HIPAA Compliance and Patient Privacy Considerations

With AI increasingly prevalent in search results, privacy remains a priority, particularly for healthcare-related content.

Although AI Overviews does not handle protected health information (PHI) directly, the content displayed must still respect HIPAA standards if it includes health advice or details that could apply to identifiable individuals.

Transparency in Content and Privacy Protections

Practice managers should ensure that any public-facing content follows HIPAA guidelines.

These guidelines stipulate that personal information about patients or their conditions should not be accessible without consent.

General information on medical conditions and treatments is permissible, but any information that could identify a patient requires careful handling.

Ensuring that websites and digital profiles do not disclose PHI without permission is essential for maintaining compliance.

5. Patient Engagement in an Era of Reduced Clicks

With fewer users clicking through to clinic websites, leveraging other digital strategies to engage patients and retain their attention is essential.

This shift in strategy involves improving website functionality, strengthening local SEO, and exploring new channels for patient outreach.

Optimizing On-Site Engagement and Conversion Rates

If website traffic declines due to AI Overviews, focusing on the experience of users who click through becomes paramount.

Practice managers can implement conversion rate optimization (CRO) tactics, such as clear calls to action (CTAs) and simplified navigation, to make it easier for patients to book appointments, contact the clinic, or learn more about services.

Alternative Engagement Channels: Social Media and Email Newsletters

Diversifying engagement channels can also offset reduced web traffic.

For instance, building a presence on social media platforms, where clinics can interact directly with patients, and sending regular email newsletters can serve as additional means of sharing valuable health information.

These direct outreach methods allow clinics to cultivate stronger patient relationships without solely relying on search-driven traffic.

Integrating AI Tools for Improved Patient Communication

AI can be an ally in enhancing patient engagement outside of search results.

From chatbots on clinic websites that assist with appointment bookings to AI-driven email marketing tools that deliver personalized content, practice managers can use AI to build a more interactive, patient-centered experience.

6. The Importance of Content Accuracy and Reliability

AI Overviews have raised concerns about content accuracy, as AI-driven summaries occasionally need more nuance and precision for complex topics, especially in healthcare.

Patients who receive oversimplified or incorrect information may lose trust in online searches or, worse, misunderstand critical health advice.

Ensuring Content Quality with Regular Updates and Reviews

Medical content requires continuous updates to reflect current clinical guidelines and medical standards.

Practice managers should work with healthcare professionals to regularly review the content on their websites to ensure it aligns with best practices.

This approach not only improves patient trust but can also increase the chances of content being selected by AI algorithms as a trusted source.

Fact-Checking and Trustworthiness

Google has implemented rigorous protocols for fact-checking AI Overviews, yet errors can still occur.

Clinics must remain proactive in presenting verified, fact-based information on their websites and should encourage patients to confirm information by speaking directly with healthcare providers.

7. Leveraging AI for SEO and Content Strategy: New Tools and Techniques

Integrating AI in search introduces advanced SEO tools, such as AI-driven keyword analysis and content optimization.

For practice managers, these tools can streamline the content development process and provide insights that enhance a clinic’s online presence in an AI-focused search environment.

AI Tools for Content Creation and Analysis

AI-powered SEO platforms can help clinics optimize content for patient queries by identifying keywords that patients use in searches.

Additionally, these platforms can provide insights into user behavior, highlighting which types of content patients find most engaging.

For example, tools that analyze search trends and user feedback can guide clinics in creating targeted articles on topics like seasonal illnesses or preventive health.

Long-Tail Keywords for Enhanced Visibility

As search engines grow more sophisticated, incorporating long-tail keywords becomes increasingly compelling.

Long-tail phrases often align with specific patient queries, which can help clinics rank higher in search results while capturing targeted traffic.

For instance, instead of focusing on a broad term like “physical therapy,” clinics can optimize for phrases such as “physical therapy for knee pain near me,” which may attract more relevant patient inquiries.

8. Impact of AI Overviews on Programmatic SEO

Programmatic SEO—a strategy that involves creating and optimizing a large volume of web pages using automation to target numerous search queries—has become a powerful tool for medical practices seeking to capture a wide array of patient searches.

In the healthcare field, Programmatic SEO is particularly valuable for clinics that wish to rank for specific conditions, symptoms, treatments, and local queries, which can help drive highly targeted traffic to their websites.

However, Google’s shift towards AI-generated answers directly in search results poses new challenges and opportunities for this strategy.

How AI Overviews Complicate Programmatic SEO

With AI Overviews providing direct answers to users’ questions, the need for users to click through to individual web pages diminishes.

This change means that programmatically created pages—often designed to capture niche, long-tail searches—may see reduced traffic as users find their answers within AI summaries rather than exploring individual links.

For example, if a patient searches for “symptoms of sciatica in left leg,” an AI Overview might now provide a succinct answer from reputable sources at the top of the search results page.

This could potentially bypass a clinic’s optimized page created specifically to capture this search intent, limiting the effectiveness of programmatic SEO for informational searches.

Navigating the New Terrain: Adaptations for Programmatic SEO

To maintain visibility in a landscape dominated by AI-generated content, programmatic SEO must adapt in a few specific ways:

  1. Prioritize High-Quality Content: While Programmatic SEO often involves generating pages in large volumes, quality remains critical. AI Overviews tend to pull information from trusted sources, so it’s essential that programmatically generated pages are reliable, accurate, and user-focused. Clinics should aim for informative, well-organized content that Google may still pull into featured snippets or AI Overviews, which could indirectly improve brand visibility even if fewer direct clicks occur.
  2. Focus on Unique, Long-Tail Keywords: AI Overviews are more common for broad informational queries, such as “what causes back pain?” or “how to treat sciatica.” However, highly specific, patient-centered long-tail queries, such as “sciatica treatment options in [specific city]” or “pediatric physical therapy for sports injuries,” may still direct traffic to programmatically generated pages. Targeting these unique, location-based long-tail keywords allows clinics to capture search queries less likely to be answered directly by AI summaries.
  3. Optimize for Local Search and Patient-Specific Queries: Programmatic SEO can also leverage local search optimization to capture nearby patients. Creating content that answers specific questions about services in a given area, such as “pediatric urgent care in [city]” or “walk-in appointments for flu shots in [city],” aligns with the growing trend of localized AI-powered search results. This approach can help practice managers ensure that patients searching for local health services still encounter their clinic’s programmatically generated pages.
  4. Leverage Structured Data Markup: Structured data (schema markup) is a critical component of programmatic SEO that helps Google understand a page’s content, making it more likely to be included in featured snippets or local business panels. For example, using structured data to mark up information about conditions, services, and specialties can increase the likelihood of clinic pages being referenced by AI Overviews. Structured data also allows programmatically created pages to appear in enhanced search features like FAQs, reviews, and “People Also Ask” sections.

Opportunities in AI-Augmented Programmatic SEO

While AI Overviews present a challenge, they also provide unique opportunities for Programmatic SEO:

  1. Targeted Traffic from Clickable Sources in AI Overviews: While overall click-through rates may decline, the traffic that does reach programmatically created pages could be more targeted and relevant. Users who click on links within AI Overviews may have a higher interest in exploring the full content, leading to more engaged visitors. Clinics can use this opportunity to provide in-depth answers to commonly searched questions, potentially capturing patient leads from those interested in learning more.
  2. Programmatic SEO for Complex or Multi-Part Queries: Some AI Overviews cater to straightforward or general queries, while complex or multi-part queries may still direct traffic to in-depth content on programmatically generated pages. For example, a query like “How does knee surgery recovery differ for older adults?” could be too nuanced for a simple AI Overview, leading users to click on comprehensive articles that address this complexity. By creating thorough, segmented answers on various aspects of complex health conditions, practice managers can capture traffic from patients seeking detailed insights.
  3. Continuous Testing and Optimization: Programmatic SEO requires continual analysis and adaptation. Tracking which keywords drive the most traffic, as well as monitoring engagement metrics like time on page and bounce rates, can guide further refinement. By regularly auditing and updating programmatically generated content, clinics can adjust their SEO strategies based on real-time data, ensuring their approach remains effective as Google’s algorithms evolve.

Programmatic SEO in an AI-Driven Future

As AI-driven answers reshape the search experience, Programmatic SEO will need to adapt, focusing on quality, specificity, and local relevance to remain effective.

Practice managers should be prepared to periodically review their content and keyword strategies to ensure their programmatically generated pages continue to serve patient needs in a way that aligns with Google’s search enhancements.

Embracing these adjustments can help clinics maintain strong online visibility, ensuring that patients still find accurate, clinic-specific health information amid the AI-driven changes on Google’s SERP.

9. Long-Term Considerations and Future SEO Adaptations

The balance between traditional SEO and AI-based search features is expected to shift further as Google continues to refine its search engine algorithms.

For practice managers, staying informed on these changes is crucial to maintaining visibility and patient engagement.

Adapting to Continuous Updates in AI and SEO

As AI becomes a staple of search engines, Google will likely continue experimenting with the balance between AI-generated content and organic results.

Practice managers must stay updated on these changes and adjust their SEO and content strategies to remain relevant in a constantly evolving digital landscape.

Diversifying Traffic Sources and Online Presence

Relying solely on Google search traffic may no longer be sustainable for clinics.

Exploring diverse traffic sources, such as social media, email marketing, and local partnerships, can help clinics maintain engagement and reach a broader audience.

By establishing a multifaceted approach to digital marketing, clinics can mitigate the risks associated with Google’s evolving search algorithm.


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