Your Strategic Playbook for Content That Converts
In the world of life sciences, marketing content must be technically accurate, strategically aligned, and fast to produce. Unfortunately, many internal teams lack the time, resources, or support to deliver content that meets all three criteria.
This guide dives into leveraging AI-powered tools to elevate your life sciences content workflows. Discover practical strategies for what works, what to avoid, and how to create content that not only ranks in search engines but genuinely resonates with your expert audience.
Why Content Still Matters—Even in the Age of Chatbots
AI tools like ChatGPT, Claude, and Gemini are changing how people discover information. In many cases, these tools answer user queries without anyone ever visiting your website.
But that doesn’t mean content is obsolete. Quite the opposite—your website and blog now serve a second purpose: training and feeding AI. The quality, clarity, and structure of your content determine whether your brand is cited, summarized, or recommended in AI-generated answers.
This makes strategic content creation an essential part of your growth engine—not just for search traffic, but for visibility across every digital surface.
Good Content Comes From Within—But AI Helps Get It Out
Here’s the reality we’ve seen time and again:
The most valuable stories, insights, and data are already inside your company.
They live in research results, product development decisions, customer feedback, internal debates, and lessons learned. No AI tool or freelancer can invent those for you.
What AI can do is help you plan, structure, and publish those insights more efficiently. For example:
- Organize raw notes from a product manager into an article outline
- Draft summaries of technical presentations
- Polish grammar and structure for non-native English speakers
- Repurpose a webinar transcript into multiple blog posts
- Generate keyword lists and metadata for SEO
In this way, AI becomes an amplifier—not a replacement—for your unique point of view.
Why External Writers Often Miss the Mark (Even with AI)
Another observation from working closely with founders and marketers: many external writers today use the same AI tools you have access to—but charge a premium for it.
Even writers with PhDs often lack domain familiarity or commercial insight specific to your business. The result is content that’s technically fine, but strategically flat—and almost always generic.
If your competitors do it better, it’s not just a missed opportunity. It can jeopardize your credibility and weaken your industry reputation, especially in fields where trust and authority are non-negotiable.
We’ve seen clients spend thousands of euros on outsourced content that added no real value. Meanwhile, that same content could have been generated in-house, faster and more affordably, with better results—if the right tools and workflows had been in place.
At Nuna, we don’t believe in outsourcing your brand voice. We work with you to extract the knowledge you already have, then structure it into content systems powered by the right tools, with clear goals and measurable impact.
Recommended AI Tools for Life Sciences Content Creation with Focus on Writing
Below are the core tools we use in our own workflows and with our clients.
ChatGPT (Plus or Enterprise) / Gemini
Use for:
– Structuring raw internal scientific knowledge into strategic content outlines
– Translating complex data and concepts for varied expert audiences
– Drafting precise FAQs, microcopy, and initial targeted messages
Tip: Train a custom GPT to embed your brand’s scientific voice and specific product positioning.
Caidera
Use for:
– Brand hub and integrated digital asset management
– Campaign ideation and planning
– Content creation and compliance check
Tip: Ideal for lean teams looking to scale content operations with strategic oversight and process automation.
Writer or Jasper
Use for:
– Creating longer-form content
– Ensuring consistency across authors
– Structuring high-volume content series
Tip: Use templates and predefined tone rules for scaling content creation.
Scite or Consensus
Use for:
– Supporting claims with published research
– Finding recent peer-reviewed references
– Developing whitepapers or investor content
Tip: Always verify source credibility before publication.
Surfer SEO or Clearscope
Use for:
– Keyword optimization
– Semantic content structuring
– Matching search intent across funnel stages
Tip: Focus on bottom-of-the-funnel keywords that drive conversions.
Descript or Riverside
Use for:
– Transcribing SME (Subject Matter Experts) interviews
– Turning spoken content into blog material
– Building a quote library from internal experts
Tip: Always edit transcripts with context to preserve accuracy and tone.
Common Life Sciences Marketing Challenges AI Can Solve
- In-house teams are too lean to meet content demand
- Scientists and engineers are unwilling or unable to contribute content
- Agencies are too expensive and too generic
- Fragmented tech stack and content operations
- Global audience with multiple languages and regulations
With the right AI-powered content stack and strategic approach, you can solve all of the above.
Ensuring Accuracy: RAG, Custom Training, and Domain-Specific Input
While generative AI is powerful, it’s only as reliable as the information it draws from. This is where Retrieval-Augmented Generation (RAG) offers a critical advantage. RAG enables AI models to reference verified, up-to-date sources—such as your own publications, whitepapers, SOPs, or internal knowledge bases—before generating output. Instead of guessing or “hallucinating,” the AI retrieves relevant documents and generates responses grounded in them.
This approach dramatically improves accuracy, especially in high-stakes fields like biotech, pharma, and diagnostics. Even tools like ChatGPT or Jasper can be made significantly more useful when paired with custom GPTs or trained prompts using your own data.
If your company has a strong library of internal research, product documentation, or scientific literature, you can use it to train or fine-tune AI models—or simply to guide them using vector-based retrieval and structured prompts. This ensures your content is not only faster to produce, but correct, consistent, and aligned with your regulatory and scientific standards.
A Note on Scope: This Guide Focuses on Written Content
This playbook focuses primarily on written content—blog posts, thought leadership, SEO assets, and strategic copy. While AI also plays an increasingly important role in image generation, video scripting, voice synthesis, and multimedia production, we’ve chosen to emphasize text-based content here because it’s the backbone of discoverability, authority, and searchability in life sciences marketing.
We’ll explore those other formats—AI in video, images, and scientific visualizations—in a future post.
Final Thoughts
AI cannot replace your expertise, your voice, or your point of view. But it can remove bottlenecks, streamline production, and help you publish more of the content your market actually needs.
If you lead marketing, sales, or growth at a life sciences company, don’t fall into the trap of generic, outsourced content. Instead, build a system that helps you consistently turn your internal knowledge into strategic assets.
Reach out to us to receive a full list of AI-powered tools that can supercharge your work.
