The Great AI Sameness: How to Build a Brand That Actually Stands Out

Distinctiveness Beats Sameness: Kyle Lacy on Rebranding, AI, and Being “Impossible to Ignore”

B2B marketing has entered an era where the cost of blending in is higher than ever. In Sequel’s Game Changers CMO Series, host Kathleen Booth sat down with Kyle Lacy, CMO of Docebo, to unpack what it really takes to create clarity in a crowded market, and convert that clarity into pipeline. From Docebo’s bold “Neon Renaissance” rebrand to the practical realities of operationalizing AI inside a marketing org, the conversation delivered a blueprint for modern brand leadership.

1) The Moment You Realize You’ve Become Invisible

I walked in the room, and I had no idea where the Docebo booth was. - Kyle Lacy

That single moment at an industry conference became the clearest possible signal: the brand wasn’t distinctive enough to be findable, let alone memorable. Kyle’s observation wasn’t just about booth aesthetics, it was about what sameness does to a business in-market. If a customer can’t spot you in a room full of competitors, it’s often because they can’t spot you in their mind either. The conversation sets up the rebrand not as “new CMO, new paint,” but as a response to a strategic visibility problem that directly impacts demand, preference, and pipeline.

2) Rebranding Without Strategy Is Just Ego

If you’re looking at brand and you can’t name a strategic problem that you’re solving by going through a rebrand, then it’s mostly ego.

Kyle makes the implicit explicit: rebrands that aren’t tied to a specific business constraint (positioning, differentiation, narrative, category confusion, product evolution) tend to be vulnerable, politically and commercially. This quote threads through the whole discussion because it reframes “brand” as an operational lever rather than a creative indulgence. Kathleen reinforces the stakes, noting misalignment can kill not only the rebrand, but the CMO’s tenure. In other words: the mandate for a rebrand must be defensible in boardroom language, not just brand-deck language.

3) Start With a CEO-Signable Manifesto

Let’s write a manifesto that we would publish in the Wall Street Journal if we needed to.

This is the most transferable play in the entire webinar: before visuals, before web comps, before copywriting, Kyle and Docebo’s CEO aligned on a “letter to the market.” The point wasn’t theatrics, it was clarity. A manifesto functions as the anchor for everything downstream: messaging, positioning, tone, creative direction, and internal alignment. Kyle also highlights the real reason this works: it forces the marketing leader and CEO to agree on what the company means for the next 3–5 years, preventing brand work from becoming subjective whiplash halfway through execution.

4) “Neon Renaissance”: Using Heritage to Build Modern Distinction

The rebrand was called Neon Renaissance because we wanted to lean into more bright… eighties, nineties type direction for a color palette.

The “Neon Renaissance” label wasn’t just a creative hook, it was internal storytelling. Kyle ties the brand direction to Docebo’s Italian heritage (food, fellowship, community) and to a market narrative: L&D, HR, and IT audiences are going through a “renaissance” of responsibility amid upskilling and change management. The important connective tissue here is that the boldness wasn’t random; it was justified. That’s why it reads as distinct rather than gimmicky, because it’s rooted in identity, audience change, and a forward-looking product reality.

5) AI Messaging That Doesn’t Make You Sound Like Everyone Else

When I’m marketing it to the buyer, we’re coming outcomes.

Kyle doesn’t deny the reality of AI in products, he rejects lazy framing. Yes, Docebo may still use “AI-powered” where it’s accurate, but the differentiation comes from translating capabilities into buyer-specific outcomes, not piling on feature claims. Kathleen’s trade-show test, photographing booths and asking AI to explain each company, underscores the problem: AI language has become a sameness accelerant. Kyle’s counter is simple and hard to execute: stop selling AI, start selling the result the buyer is trying to achieve, and only invoke AI when it credibly supports that outcome.

6) The AI Adoption Mistake: Activity Without Direction

I got four ICP dashboards… I got a bunch of pipeline dashboards… a lot of reporting, but not a lot of thinking about how do I take a traditional workflow and turn it into something that will help me do my best work.

This is the “ahead of our skis” moment most marketing orgs recognize immediately: when experimentation produces artifacts, not transformation. Kyle describes creating time blocks for AI exploration, providing tools and budget, and encouraging sharing, only to find the team overwhelmed and outputs uncoordinated. The insight isn’t that experimentation is bad; it’s that experiments need a target. The conversation naturally evolves toward workflow-based prioritization, turning AI from a playground into an operating system that improves how marketing actually functions.

7) The Foundation for Agents: Build the Context Layer

If you are going to do one thing, you need to build the foundation or the knowledge base… context layer for your agents.

Kyle gets concrete about what “AI-ready marketing” really requires: not prompts, not tools, not dashboards, context. Without a maintained knowledge base (product truth, messaging, customer evidence, ICP definitions, playbooks), AI outputs will drift, contradict, or hallucinate the brand. He also answers the tricky ownership question: it’s “owned by everybody that owns the content,” with an AI engineer (Igor) embedded in marketing to operationalize it, plus IT supporting governance, security, and compliance. The takeaway is structural: AI performance depends on content systems, not content heroics.

8) Efficiency Isn’t a Strategy If You Can’t Define It

First of all, you need to define what efficiency means. I hear too many marketers talking about efficiency, and they have no idea what they’re actually talking about.

In one line, Kyle calls out a common trap: treating “efficiency” as a virtue signal instead of an agreed metric. He outlines practical definitions, time-to-value for content production, CAC targets, pipeline creation and conversion, and emphasizes he hasn’t changed his metrics so much as sharpened alignment around what matters. Kathleen adds an important reality check: efficiency gains often help secure C-suite buy-in for continued AI investment, but the endgame is better marketing, not smaller marketing. The conversation reframes AI measurement as business measurement, AI is a lever, not a scoreboard.

9) Distinctiveness Without a Big Rebrand Budget: Start Where It Counts

You don’t need any money to change the messaging… if you’re gonna overhaul anything to test, I would just do your home page.

For teams without public-company resources, Kyle’s guidance is refreshingly direct: start with message clarity, then prove impact on the homepage. He also suggests using events as a “mountaintop” to push brand identity, treating event creative as an incubator that can later flow into the broader brand system if it performs. That advice closes the loop with how Kyle himself experienced the problem (the conference floor) and how he believes distinctiveness should be validated: in the wild, where attention is scarce and comparison is instant.

The Throughline: Clarity You Can Feel

From the manifesto to the neon palette, from outcome-based AI messaging to workflow-based AI adoption, the session keeps returning to a single CMO mandate: make the company impossible to ignore. Not through louder claims, but through sharper truth, expressed consistently across story, design, product narrative, and execution.