In early 2024, we created Noxivision, a fictional medical product. This product was created to help us test the limitations of AI tools during the launch of a product and the different phases and materials that it would require. By being able to test these tools without any of the red tape of medical and legal review we could really push the AI to do as much of the heavy lifting as possible, so we could see where it fell flat on its face and where it thrived and would be useful on real projects.
If you would like to view the Noxivision project, please click here to read through the articles.
Don’t have time to read the article? Listen instead:
Now, in 2025, we’re revisiting these AI tools to see how they have evolved and improved to make content creation easier.
Rewriting the Rules: Smarter Content with ChatGPT & NotebookLM
A unique challenge with pharmaceutical content is compliance. Any content produced must be engaging and relevant, but above all, it must be medically accurate and align with legal and regulatory (MLR) requirements.
The Evolution of ChatGPT AI-Generated Medical Marketing Content: Then vs. Today
In early 2024, marketers leveraging ChatGPT for medical content creation had access to powerful tools (think GPT-4 and the limited multimodal functionality) but they were still navigating certain constraints. The model required more prompt engineering finesse, it struggled with providing up-to-date data for recent medical advancements, and lacked true memory of previous interactions. Creating polished marketing materials often involved iterative prompting, external editing for tone consistency, and manual data validation.
Fast forward to today, and the landscape has undergone a dramatic transformation. The introduction of GPT-4o and GPT-4.1, along with features like persistent memory, real-time voice interaction, and multimodal capabilities, has improved the quality and efficiency of content production.
For instance, a campaign for a new drug that once required multiple tools and manual research can now be streamlined within ChatGPT. The model can:
- Recall brand tone and compliance constraints across sessions using persistent memory.
- Interpret complex visual data, such as graphs from clinical trials, and translate them into digestible infographics or marketing copy.
- Access real-time medical literature updates via integrated web browsing, ensuring factual accuracy and regulatory alignment.
- Tailor messaging to specific audiences (e.g., patients vs. providers) by referencing previously discussed strategies without re-explaining context.
- Generate visual content (via DALL·E 3 or GPT Image 1) such as anatomy illustrations, packaging mockups, or presentation slides in one seamless workflow.
Additionally, with the emergence of Advanced Voice Mode and multilingual fluency, marketers can now produce localised video scripts or audio narrations directly within ChatGPT, making global campaigns far more accessible.
In summary, what once took a multidisciplinary team and several tools to execute can now largely be managed by a single user with ChatGPT Pro.
These advances not only boost productivity but also significantly improve the coherence, regulatory alignment, and creative polish of medical marketing content, reshaping how healthcare brands engage with their audiences.
From Static Research to Dynamic Strategy: NotebookLM’s Impact on Medical Marketing Content Creation
In early 2024, creating a high-quality medical marketing campaign with the help of AI tools like NotebookLM was like working with a capable but limited research assistant. Users could upload static text documents and receive useful summaries or Q&As, but functionality was limited. Medical marketers still relied heavily on external apps for visual content, multimedia analysis, and real-time collaboration.
Today, the evolution of NotebookLM has redefined what’s possible in a single research environment. Powered by Gemini 2.5 Flash, the platform now excels at multi-step reasoning, multimodal comprehension, and creative synthesis, making it an indispensable tool for medical marketers.
Here’s how these upgrades have changed the game:
- Audio Overviews with Interactive AI Hosts allows marketers to generate podcast-style summaries of clinical research or product data sheets. Stakeholders can now “listen in” on AI-generated discussions that condense key messages and surface connections, which can be useful for team briefings, client pitches, or rep training materials. (Check out the podcast we made using this exact feature – Noxivision Podcast)
- Multilingual audio support means those summaries can be instantly translated and localised across over 50 languages, streamlining global content rollouts for pharmaceutical or device launches.
- With the Mind Map feature, complex data like treatment pathways, market segmentation, or patient journey maps are auto-generated into clear visual layouts. This eliminates the need to manually design diagrams or slide content from scratch.
- Support for multimodal PDFs and Google Slides ensures NotebookLM can analyse clinical studies, KOL presentations, or even ad concepts (including embedded charts or product visuals), and can connect the dots across formats.
- The new “Discover Sources” function brings in relevant external content automatically, making it easier to enrich marketing copy with up-to-date statistics, guidelines, or patient insights without leaving the platform.
In short, where early 2024’s NotebookLM served primarily as a summarisation tool, the current version functions more like a real-time, interactive strategist. Marketers can now ideate, research, visualise, translate, and even narrate campaign elements all within a single AI-powered workspace.
This shift has not only accelerated the content creation timeline but also deepened the strategic and creative quality of modern medical marketing assets.
So, What’s Changed Since Early 2024?
The difference is night and day. Here’s how today’s AI tools stack up:
| Then (Early 2024) | Now (2025) |
|---|---|
| Fragmented workflows across tools | Seamless, integrated ecosystem |
| Frequent context resets | Long-term memory & persistent context |
| Factual inconsistencies | Citation-backed, MLR-friendly drafts |
| Trial-and-error prompting | Refined, role-specific prompt engineering |
Want a more in depth look at the development of AI content tools? Stay tuned for my next article: Advancements in AI Content Writing: A Year in Review
Want to see how Iguazu and AI could help you create content faster and more efficiently?
AI Tools used: ChatGPT
Frequently Asked Questions (FAQs)
Noxivision is a fictional medical product developed in early 2024 to safely test the capabilities and limitations of AI content creation tools without the constraints of medical/legal review. It allowed us to explore how AI handles various stages of a pharmaceutical product launch.
If you would like to view the Noxivision project, please click here to read through the articles.
AI tools like ChatGPT and NotebookLM have seen major upgrades in 2025. Features such as persistent memory, multimodal comprehension, multilingual output, and integrated citation support have transformed them from helpful assistants into full-fledged content creation platforms.
Yes, to an extent. While AI can now produce drafts that are more aligned with MLR standards and cite sources accurately, final content should still undergo medical/legal review for full compliance. However, AI greatly reduces time spent on early drafts and revisions.
ChatGPT excels in generating creative copy, adapting tone, and handling real-time data and visuals. NotebookLM functions more like a research strategist; ideal for summarising documents, building visual aids, and sourcing up-to-date references from static and dynamic inputs.
No. AI enhances human capabilities by streamlining repetitive tasks, improving first-draft quality, and surfacing insights faster. Strategic thinking, creative judgement, and regulatory approval still rely heavily on human expertise.
You can view the full Noxivision case study including written materials and the podcast, by clicking here or visiting the main article archive.
We specialise in integrating AI tools into healthcare marketing workflows. Whether you’re looking to create faster content, localise global campaigns, or explore AI for strategic planning, Iguazu can help.
Still have questions or want to see AI in action?
Contact us to schedule a consultation or visit our AI consultancy page
Author:
David Pinto
Senior Project Manager
About Iguazu: We are a digital agency specialising in delivering tactical marketing solutions to the healthcare and pharmaceutical industry.
