AI Content Generation
Text, image and video, including avatar video, format variety and output quality.
SERIES 01 · DIMENSION 3 DEEP DIVE
Content Creation & Experience Delivery.
How pharma makes content with AI, keeps it on brand and legally safe, personalizes it and delivers it to HCPs across email, web, CLM, banner and social. Twelve vendors scored across six sub-dimensions, every score carrying an evidence tier.
In pharma, the useful unit of generated content is the approved module, not the sentence.
A platform earns a high score here when it generates from a governed base of approved claims, references and images licensed for the market, and produces provenance with the output. A platform that generates from a free-text brief on a general-purpose model, however fluent, is producing drafts a human must re-ground before review. That second pattern is far more common than the vendor pages suggest, and it shapes every score in this dimension: assembly from a governed base beats free generation.
WHAT THIS DIMENSION COVERSSIX SUB-DIMENSIONS · SCORED 1 TO 5
Brand Governance & IP Safety
Template enforcement, claims-boundary detection, hallucination controls, audit trail, output indemnification, model and data-training position.
Web CMS & Digital Experience Management
Content management, templates, multi-site and multi-locale, testing, HCP portal integration.
Website & Portal Personalization
Runtime personalization on visitor profile, behavior and intent, and integration with the engagement data model.
Personalization at Scale
Individualized content variants at volume, beyond segment-based personalization.
Social Media Content & Publishing
Creation, scheduling and publishing, compliance pre-check, engagement analytics, listening.
Four principles keep the scoring honest.
Evidence tiers and the anchor rule
Each score is graded on an evidence tier, and one rule governs the top of the scale: a 4 or 5 requires product or support documentation, release notes, a seen demo, an independent benchmark, or a life-sciences analyst placement whose citation actually covers the capability. Capability described only in marketing or a single anecdote caps at 3. This separates what a vendor claims from what actually ships.
We score the software, not the service
The report scores the licensable, customer-operable software, not the services wrapped around it. Several vendors will build, host and operate a capability for a client as a managed engagement. That is a real offering, but a service, and a service does not earn a platform score. The test is simple: could a customer license the capability and run it without the vendor delivery team.
Category participation, so like is compared with like
Vendors are classified by how they participate in the dimension: Foundational, Add-on, or Services-led. A specialist that does not play in a sub-dimension is marked not applicable rather than scored 1, so a focused vendor is not penalized for being focused.
A European lens
Scoring prioritizes what a DACH and Northern European buyer actually needs: EU or EEA data residency, GDPR coverage, named European references, and a position on the EU AI Act, whose Article 50 transparency obligations for AI-generated content have been in force since 2 August 2026.
The questions a pharma leader is actually asking.
Each answered with scored evidence rather than vendor claims.
- 01Every vendor sells the same sentence: approved content in, compliant variants out, at a scale no agency can match. Where does the marketing claim end and the shipped, documented product begin?
- 02Text generation from approved modules is becoming common. Image and video are not. Which vendors can actually generate visuals inside a governed pharma flow, and which quietly stop at text?
- 03When a vendor says individualized variants at scale, is that genuine individual-level assembly, or segment and persona personalization wearing a bigger number?
- 04A capability a customer cannot license and run without the vendor delivery team: should it count as a platform score at all, and what happens to the ranking once you insist on software?
- 05A Leader badge sounds decisive. But does the analyst citation behind it actually cover content generation, or does it cover services, workflow and analytics that only sound adjacent?
- 06Who indemnifies AI-generated output, who names the model behind the generation, who states whether customer content trains it, and who says nothing at all?
- 07Article 50 has been in force since 2 August 2026. Which vendors have shipped a product-level response, and what must a deployer still ask for in the RFP?
- 08One decision should anchor a content stack before any generator is chosen. Which one?
Read the scope or read the scores.
FREETeaser Edition
Scope and method.
What the dimension covers, the six sub-dimensions, how scoring works, and the questions the full report answers. Direct download, no form, no email gate.
Download the TeaserFULL REPORTTwelve vendors scored
The scores and the reasoning.
- The full scoring table for the Big Three and the nine specialists, each score carrying its evidence tier.
- A vendor-by-vendor read of the content layer: who generates, who assembles from approved modules, and who only delivers.
- The generative trajectory: why assembly from a governed base beats free generation, and where image and video sit today.
- The governance bar as written RFP questions: grounding, per-block provenance, the model and data-training position, and a citable EU AI Act stance.
- Practical guidance: decide the base before the generator, and how to read a vendor claim against the evidence anchor.