There's one question we get more than any other: "What are people actually doing with brand.ai?"
So we analyzed thousands of production sessions across our enterprise deployments to find out. The top use cases center on strategic messaging refinement, rapid campaign asset generation, and brand-aware summarization. But the real story is the breadth: thirteen distinct roles use brand.ai across twenty-three active workflows, from a CMO pressure-testing taglines late at night to a designer generating sixty campaign variants before lunch. It isn't a single-purpose tool. It's operating infrastructure for brand work.
Our analysis is based on anonymized, aggregated usage data, collected only with explicit customer approval. Classifiers grouped all interactions into use cases and practice areas automatically, so the analysis never touches raw queries or content.
Who’s doing what
We started by looking at individual roles and specific use cases. One thing became immediately clear: brand.ai is being used across the entire org chart. From a first-year digital marketer to the head of brand or CMO, entire orgs are aligned on a single platform.
Their needs are different, but they all use brand.ai as essential operating infrastructure. It’s a conversational engine, not a one-and-done generator. Whether it’s a designer generating sixty campaign variants before lunch or a CMO pressure-testing taglines late at night, the platform powers thirteen distinct roles across twenty-three active workflows to keep the entire brand engine running.
Role-by-use-case heatmap showing where each role concentrates their brand.ai usage.
Five modes of working
Next, we mapped every interaction to one of five clusters. The distribution tells you where brand-aware AI is driving the most impact. Here’s where we see people using brand.ai the most.
Five usage clusters showing how teams distribute their AI-assisted brand work.
Strategy and Messaging — 34%
About one in three tasks involve this upstream work that shapes everything else. It’s the foundation of how you talk, covering messaging frameworks and strategic positioning. It’s also where campaign briefs and brand documentation lives. These are the living systems that keep the team aligned. This is where senior leaders spend their time. They're less focused on automating busy work and more on refining their judgment and getting to better recommendations faster.
Content Creation — 28%
Next comes web copy, email campaigns, and turning info into quick summaries or presentations. This cluster captures the customers who adapt their messaging so it works perfectly across channels.
Creative Production — 26%
The third cluster is where the brand comes to life. It includes generating assets and iterating on designs to see what sticks. This work is really about speeding up reviews so you can get your ideas out the door faster.
Competitive Intelligence — 7%
This fourth cluster of use cases involves market research and analysis to see how you stack up against the rest. Using dashboards helps you stay on top of what’s happening in your industry.
Brand Governance — 4%
The fifth and final cluster involves audits and voice templates so the brand doesn't lose its identity. It also covers enforcement and regional adaptation, making sure everything stays on-brand while still working for local audiences. While this is currently the smallest category, it’s packed with untapped potential. Areas like M&A integration, workflow automation, and benchmarking haven't been fully explored yet. And we're already seeing a spark in regional adaptation, where teams use AI to craft city-specific messages aligned with a global framework.
Three archetypes
As we looked closer at the data, three kinds of users started appearing. They each have their own sets of needs, and they’re using the platform in different ways. We see these as equally important audiences as our tool continues to grow. And some users span more than one.
The Architect
Think CMOs and campaign planners. For them, the main goal isn't churning out volume. They're using Brand.ai to sharpen their judgment. They spend about a third of their time refining strategic messaging and positioning. Instead of just generating ideas, they’re using the tech to build a stronger case for their recommendations, like quickly distilling why a specific tagline is the right "wrapper" for a new campaign.
The Maker
Creative designers are doing much more than just making images. While they’re focused on rapid asset generation, nearly half of their work actually involves research, strategy docs, and briefs. It’s a tight, back-and-forth dialogue where the designer is steering the ship—requesting specific angles, horizontal reflections, or layout changes—rather than just "prompting and praying" for a result.
The Analyst
Strategists and insight teams use the platform as a massive synthesis engine to distill complex info. They spend about 30% of their time summarizing research, meeting notes, and competitive briefings into actionable bites that keep the brand’s nuance intact. Roles like Marketing Ops and Sales are also leaning in to handle everything from campaign briefs to creative reviews.
"That breadth is the point. The infrastructure of brand.ai is designed to serve everyone, all the time."
Reliability at scale
The most common tasks—like summarization, copywriting, and generating assets—boast a massive 95–99% success rate. More complex work, like building messaging frameworks or creative reviews, still hits a solid 75-89% completion rate. What’s interesting is that users aren’t giving up. They’re averaging four prompts per session, which is much higher than the industry norm. It shows they’re sticking around to iterate and get the details just right.
What the best teams have in common
The brands seeing the most value don't just use AI for low-stakes "busy work." Instead, they dive straight into the most critical needs, like strategic messaging and campaign production. They've realized that the real wins happen when you apply the tech to your most important projects first.
They also don't try to force everyone into a single box. Whether it’s a CMO refining a tagline or a designer spinning up sixty different campaign variants, the platform is flexible enough to handle both. It works because it’s treated as shared infrastructure for the whole team rather than a niche tool that only solves one specific problem. That breadth is the point. The infrastructure of brand.ai is designed to serve everyone, all the time.
