Lessons from AI in Healthcare for the Marketing and Advertising Industry

With the official rollout of our AI Marketing Intelligence Lab (BETA), friends and partners of Ayzenberg Group are invited to access our advanced, multi-modal AI portal designed to serve as a personal marketing consultant and research assistant. Our robust dashboard combines the power of ayzenberg.ai, our proprietary GPT model, with other cutting-edge tools like Claude, Llama, ChatGPT-4, and Gemini, alongside select AI-driven brand marketing resources and agents. This multi-tool environment offers unmatched potential to transform how marketers approach strategy, creativity, and research.

Bolstered by a recent study from JAMA Network Open, it's become clear that these tools can augment our work by providing new ways of thinking—testing and challenging our assumptions and long-held beliefs—but the effectiveness of these tools is ultimately dependent on the humans using them. What's more, given their efficacy in providing complex and accurate answers, those who fail to adopt these tools will struggle to remain competitive with those who do. Insights from a recent New York Times article on ChatGPT’s success in diagnosing medical cases—and the failures of doctors using it—offer valuable lessons for marketers learning to navigate this sophisticated ecosystem.

ChatGPT Outperforms Doctors with Medical Diagnosis Accuracy

In a study published in JAMA Network Open and explored in-depth in the New York Times article, 'A.I. Chatbots Defeated Doctors at Diagnosing Illness,' ChatGPT-4 diagnosed medical cases with 90% accuracy, outperforming doctors who achieved 76% even when using the chatbot. Doctors without ChatGPT scored 74%. The surprising takeaway wasn’t that ChatGPT was inherently superior but that the doctors failed to use it effectively.

Two key issues emerged:

1. Misaligned Interactions: Many doctors treated ChatGPT like a basic search engine, asking narrow, isolated questions instead of leveraging its ability to process entire case histories.
2. Overconfidence and Resistance: Even when ChatGPT presented better diagnoses, doctors often dismissed its suggestions, clinging to their initial assumptions.

These missteps underscore the importance of understanding how to engage effectively with AI tools—a lesson marketers should embrace when using any LLM.

Bridging the Lesson to Marketing

Marketing is a complex, multifaceted discipline. Whether analyzing consumer behavior, crafting brand messaging, or developing a campaign strategy, the quality of insights provided by ayzenberg.ai and other models depends on the quality of your prompts and your mindset when working within the environment.

The failure of doctors to unlock ChatGPT’s full potential mirrors challenges marketers might face: agencies that misalign their interactions with AI or resist its suggestions are missing a powerful diagnostic tool for modern marketing ailments. Predictive AI serves as a strategic 'cure,' synthesizing millions of data points to uncover actionable insights that bridge the gap between audience needs and creative engagement.

To learn more about counteracting the impact of human biases when searching for actionable insights, we spoke with Jocelyn Swift Harjes , VP of Data Insights at Ayzenberg Group, who shared her perspective on the intersection of marketing and cognitive psychology.

Undoing Cognitive Biases

“In the realm of marketing strategy, cognitive biases present a fascinating duality,” Harjes explains. “On one hand, savvy marketers leverage psychological insights like loss aversion, anchoring, and authority bias to influence consumer behavior and enhance campaign effectiveness. On the other hand, these same biases can skew our decision-making as strategists.”

Harjes emphasized how the AI Marketing Intelligence Lab provides a critical counterbalance: "This lab helps marketers recognize and mitigate biases that often creep into strategy, like confirmation bias—focusing solely on data that supports existing beliefs—or selection bias, which involves cherry-picking data to fit a desired narrative. These tendencies can significantly impact the objectivity and effectiveness of marketing efforts.”

Addressing the broader implications, Harjes noted the following: “Understanding that cognitive biases affect everyone—not because of a lack of intelligence, but because of the brain’s inherent wiring—is a critical step. Our dashboard and suite of agents, tools and models act as impartial analysts, processing vast amounts of data free from human preconceptions. This enables marketers to gain a clearer, more comprehensive view of consumer motivations and behaviors.”

By eliminating the influence of biases, Harjes believes the AI Marketing Intelligence Lab empowers marketers to craft strategies that resonate more deeply. “While it’s important to remember that each consumer is unique, our AI Marketing Intelligence Lab’s ability to identify and analyze patterns without bias provides an invaluable tool for creating campaigns that truly connect with target audiences and drive better results.”

AI as the Cure for Modern Marketing Ailments

Just as doctors who embrace AI tools can diagnose illnesses more effectively, agencies that leverage predictive AI can identify and address strategic blind spots, accelerate creative positioning, and deliver campaigns that resonate deeply with audiences.

In the same way medical cases require processing entire case histories—not isolated symptoms—marketing success depends on analyzing complete data sets and audience behaviors, rather than disconnected metrics. Brands and agencies that fail to harness these tools risk clinging to outdated strategies or assumptions due to misanalyzed or incomplete data, much like the doctors in the study who dismissed AI’s superior diagnoses.

Prompting & Guidance for AI Marketing Intelligence Lab Users

As part of our LLM strategy and AI mandate, our entire organization—strategy, account, and creative—has undergone focused training on crafting effective prompts. This ensures every user can navigate the AI Marketing Intelligence Lab with confidence, unlocking its potential as a personal marketing consultant and research assistant. We also have a wealth of articles, from basic to advanced, to get you started on your LLM journey.

We believe the AI Marketing Intelligence Lab is a transformative step forward, blending creativity, data, and technology into a unified force for smarter, faster, and more impactful marketing. By mastering the art of the prompt and learning to trust AI, you’ll not only avoid common pitfalls as outlined in this article but also position yourself to lead in the era of AI-powered marketing.

Craft Context-Rich Prompts

The doctors in the aforementioned study underperformed because they failed to provide ChatGPT with comprehensive case details. In marketing, providing full context is equally critical. LLMs thrive on specificity and depth:

• Weak Prompt: “Generate social media content for our new product.”
• Strong Prompt: “Generate Instagram and TikTok posts for the launch of our eco-friendly tech product. Target Gen Z, focusing on sustainability and minimalism, with a playful tone.”

Clear objectives, audience details, and creative constraints lead to outputs that align with your goals.?

Leverage the Multi-Tool Environment

Our dashboard offers access to multiple AI models, each with unique strengths. Claude excels at context comprehension, while Gemini and Llama bring precision to creative and data-heavy tasks. The key is to match your prompt with the right tool and ask for outputs that play to their strengths. For example:

• Research Focus: Use Claude or ChatGPT-4 to analyze broad consumer trends.
• Creative Ideation: Turn to ayzenberg.ai or Gemini for campaign concepts tailored to a specific brand voice.

Experiment with models to refine insights, combining outputs for a multidimensional perspective.

Iterate and Refine

Like doctors in the study, marketers can fall into the trap of overconfidence or under-utilizing AI If your first output isn’t perfect, refine the prompt, add more context, or ask for an alternative perspective.

Example Prompt Iteration:

1. “Analyze social media trends for sustainability campaigns.”
2. “Analyze how Gen Z engages with sustainability content on Instagram and TikTok. Identify three key visual or narrative elements driving the most engagement.”

The iterative process is central to extracting value from our Lab’s capabilities.

Trust the AI as a Partner

Doctors often dismissed ChatGPT’s diagnoses, but marketers using these tools must learn to embrace AI as a collaborator. Use it to challenge assumptions, uncover blind spots, and inspire innovative ideas.

For instance, if ayzenberg.ai suggests a counterintuitive campaign angle, explore it rather than dismissing it outright. Ask follow-up questions to understand the rationale behind its recommendation.

We encourage marketers to treat LLMs as strategic collaborators. By exploring AI’s suggestions—even when counterintuitive—agencies can uncover breakthrough strategies that outperform traditional approaches.

The AI Marketing Intelligence Lab: Your Personal Consultant

Our proprietary dashboard is more than a collection of tools and agents—it’s a multi-modal environment designed to enhance every aspect of marketing, from strategy and creative ideation to advanced research and analytics. It’s your space to explore and adapt, created by marketers for marketers. Mastering how to interact with it effectively will:

• Enhance Campaign Precision: By analyzing audience data and creative trends, the Intelligence Lab ensures messaging resonates with your target market.
• Expand Creative Possibilities: With tools like ayzenberg.ai and Gemini, you can generate innovative campaign concepts that push boundaries.
• Streamline Research: Save time with powerful models that synthesize vast amounts of data into actionable insights.

Our proprietary GPT model, ayzenberg.ai, has been trained on 20,000+ articles, research papers, and case studies published across our platforms, including AList, Ayzenberg.com, ION.co, and Soulmates.AI—our Brand Soulmates practice. For years, Soulmates.AI has been at the forefront of publishing white papers and developing AI-driven tools for marketing, audience insights, and brand personality analysis.

Why It Matters

Throughout this article, we've examined two fundamental truths: AI, no matter its use, requires thoughtful human interaction to unlock its full potential, and professionals who fail to leverage it effectively risk being outperformed by those who do.

At Ayzenberg, our philosophy of Listen > Create > Share underscores every insight we develop. By analyzing billions of data points—built and trained on existing first- and third-party data—we’ve created a framework that connects deep audience understanding with actionable strategies. This enables marketers to listen to real audience signals, create with precision, and share campaigns that resonate on a human level.

In an increasingly complex and data-rich world, clients expect strategies informed by these insights, executed with both precision and creativity. Agencies that cannot make use of this data—failing to harness predictive AI tools—will quickly find themselves left behind. Those who embrace these capabilities and learn to collaborate with AI will lead the industry, delivering campaigns that are smarter, faster, and more impactful.

The choice is clear: adapt, evolve, and thrive—or risk falling behind.

TLDR: Maximizing the AI Marketing Intelligence Lab

1. Avoid Narrow Interactions: Doctors in the study failed to maximize ChatGPT’s capabilities because they asked narrow, isolated questions instead of providing complete case histories. Similarly, marketers should craft holistic prompts that allow models and tools to analyze diverse inputs and deliver nuanced, actionable insights.
2. Learn to Trust AI’s Strengths: The study showed doctors often dismissed ChatGPT’s suggestions due to overconfidence in their initial assumptions. Marketers must embrace AI as a collaborator, exploring its recommendations with curiosity and using follow-up questions to unlock deeper insights.
3. Encourage Data Synthesis: ChatGPT excelled by synthesizing large amounts of information into cohesive diagnoses. Marketers can replicate this by designing prompts that utilize the dashboard to connect insights across platforms, audiences, and trends rather than focusing on isolated metrics.
4. Iterate for Precision: Like the doctors who missed opportunities by treating ChatGPT as a static tool, marketers must engage the AI Marketing Intelligence Lab iteratively. If the first output isn’t perfect, refine prompts with additional context or constraints to achieve a better result.
5. Invest in Prompt Mastery: The study revealed that only a fraction of doctors understood how to use ChatGPT to its full potential. Marketers should take advantage of training resources on prompt engineering to ensure they fully leverage the AI Marketing Intelligence Lab’s capabilities.
6. Think Beyond One-Off Answers: Doctors who used ChatGPT as a search engine missed its broader diagnostic capabilities. Marketers should think bigger, asking our models and agents to explore strategic opportunities, generate predictive analyses, and push creative boundaries for truly transformative results.
7. Use the Right Tool for the Job: The doctors didn’t always use ChatGPT effectively because they didn’t understand how to align its strengths with the task. Within our dashboard, each model excels in different areas: