How AI Adoption Is Changing Search and Why GEO Emerged
AI is now routine in how people search and process information, with users relying on systems interpreting intent and delivering direct responses, especially in healthcare. Discovery spans multiple environments, with conversational queries and answers evaluated in context. This demands traditional SEO professionals evolve into generative optimization experts, understanding how AI systems consume information and how brand influence operates within these new paradigms.
These changes impact how influence occurs, shaping expectations before website engagement. Traditional metrics (rankings, impressions, clicks) no longer fully explain brand contributions in AI-mediated discovery or how visibility translates into impact. Generative optimization experts must distinguish meaningful influence from influence that simply exists.
From SEO to GEO: The Rise of the Generative Engine Optimization Expert
Organic strategy has evolved from traditional SEO into Generative Engine Optimization (GEO). GEO expands SEO’s role, focusing on brand information representation within AI-powered search features, large language models (LLMs), and advanced discovery environments. This adapts optimization expertise with a measurement framework centered on outcomes and efficiency, not just visibility.
For the generative optimization expert, focus shifts from securing “10 blue links” to intelligently feeding AI. This involves optimizing content for AI-driven responses across platforms, ensuring accuracy, authority, and contextual relevance. Since AI answers often rely on content beyond typical brand assets, experts prioritize curating and connecting brand content everywhere. Their work encompasses content strategy for LLMs, knowledge graph optimization, semantic accuracy, and identifying AI’s information gaps, becoming architects of AI’s digital understanding.
Cutting Through the Noise to Measure Impact
The biggest question for marketers is how these changes impact their brands. Generative optimization experts identify true impact signals by focusing on outcome-driven signals. They understand if demand is shifting, being filtered, or captured more efficiently, rather than disappearing into the AI ether.
- Organic Traffic by Intent: Measuring What Matters as Traffic Shifts AI-driven search impacts organic traffic unevenly. Informational queries see the largest click decline as AI-powered responses answer questions directly, even with stable rankings. Brand-led and higher-intent queries remain resilient, delivering efficient engagement despite lower top-of-funnel volume. Generative optimization experts analyze these patterns, focusing measurement on intent-based performance: click-through rate, click yield, and downstream conversion efficiency. They interpret these shifts as indicators of AI’s direct answering capabilities versus its role in deeper exploration.
- Paid Search Scale versus Quality AI can reduce ad appearances, especially for early-stage searches. Strong quality signals for paid search performance are paramount for experts to demonstrate remaining clicks’ effectiveness. Fewer clicks aren’t bad if they convert better and drive superior cost efficiencies, indicating precise AI-driven targeting.
- Brand Demand Growth versus Non-Brand Decline AI tools often recommend brands without direct website sends. Rising branded search and direct traffic, paired with declining non-brand informational traffic, indicates AI acts as an awareness and consideration layer. Experts view this positively, demonstrating AI’s influence in building brand equity and trust before a direct site visit.
- Total Search Driven Conversions If overall qualified conversions from search remain stable, AI isn’t hurting the business—it’s changing how customers arrive. If qualified conversions decrease, the expert must diagnose, as this could signal search is no longer the first touchpoint, requiring brand strengthening to boost demand.
These signals empower generative optimization experts to help leaders focus on outcomes, not noise, and make confident decisions in an AI-shaped search landscape.
Preparing Pharma for the Next Wave of Search Advertising
Many marketers are eager to plant flags in emerging AI ad environments, but patience is required. While opportunities form across Google, Microsoft, and generative AI experiences, pharma hasn’t yet received a formal invitation. When that door opens, brands guided by proactive generative optimization experts will step in confidently; others will scramble.
The time to prepare is now. Generative optimization experts are crucial. Teams must align on clear business goals: driving qualified patient education, supporting HCP engagement, or building awareness. Emerging platforms depend on robust optimization signals; without defined objectives, performance stalls. Wiring goals directly into platforms is equally critical. Algorithms are only as strong as their data. If conversion events, engagement signals, and value-based outcomes aren’t meticulously configured, engines fly blind. The generative optimization expert ensures this infrastructure.
Finally, experts must create a continuous feedback loop using campaign performance data and search trends. Search behavior shifts rapidly, with longer, conversational queries and increasing multimodal inputs. These shifts offer valuable insight into patient/provider intent, guiding keyword strategy and creative messaging. Engines adapt with new ad formats; generative optimization experts must thoughtfully test and iterate. Adapting to the shifting search landscape and evolving advertising environment ensures effective and relevant efforts. Platforms evolve quickly; preparation, led by skilled generative optimization experts, will be the real differentiator.
Andrew Miller, EVP, Digital Activation
Franco Maffei, SVP, SEO/GEO
Courtney Mullen, SVP, SEM