Back to blog
Ai News

Category Creation Marketing

5 min read

Most companies compete inside an existing category, fighting over features and pricing against direct rivals. A smaller number of companies try something structurally different: creating a new category entirely, so that the conversation isn't "why us instead of them" but "why this new kind of solution at all." Done well, it's the most defensible positioning move available. Done poorly, it's an expensive way to confuse the market.

What category creation actually means

Category creation, sometimes called category design, is the strategy of naming and defining a new category of product around a problem customers haven't been explicitly thinking about as a distinct need — rather than positioning your product as a better version of something that already has a name. The classic examples get cited repeatedly because they illustrate the pattern clearly: HubSpot didn't position itself as "better marketing software," it created and named "inbound marketing" as a category, giving struggling small and mid-size businesses a new framework during the 2008 financial crisis. Dyson didn't build a better vacuum inside the existing category — it created the "bagless vacuum" category, sidestepping direct comparison entirely.

Why it's economically attractive

The data behind category creation as a strategy is striking: category designers reportedly capture roughly 76% of the total value created within a category, measured by market cap, once that category matures. The logic is straightforward — if you define the category, you set the terms competitors have to respond to, rather than the reverse. It's the only positioning move that removes competitors from the conversation instead of beating them within it.

The foundation has to be real, not just branding

Category creation requires both an intellectual and a tangible foundation — a genuinely distinct problem, clearly named, paired with an actual product that solves it. This is where a lot of attempted category creation fails: companies invent category language ("the first AI-powered X-as-a-service platform") without a genuinely distinct underlying problem, and the market correctly treats it as repositioning rather than a real new category. The examples that stuck — inbound marketing, the bagless vacuum, the e-reader as Amazon defined it with Kindle — all paired new language with a product that behaved meaningfully differently from what existed before.

Finding the problem worth naming

A useful starting exercise: find a problem nobody is explicitly talking about yet and make it the center of the entire company strategy, not just the marketing message. Netflix's origin story is often cited here — the company reportedly traces back to Reed Hastings being hit with a late fee at Blockbuster, a specific, relatable frustration that became the foundation for reframing video rental entirely around convenience rather than the existing late-fee-driven rental model.

The test worth applying to your own positioning: can you name a specific, relatable frustration your target customer has that they don't currently have language for — something they'd recognize instantly once you named it, even if they'd never articulated it themselves? If the honest answer is "not really, we're mostly better at the thing people already buy," category creation probably isn't the right strategy, and competing directly on quality or price inside the existing category is the more honest and achievable path.

The risk side of the strategy

Category creation is slower and riskier than competing in an established category. It requires sustained investment in market education — customers have to be taught the problem exists and matters before they can be sold your solution to it, which is a longer and more expensive sales cycle than selling into a category where the buyer already understands what they're shopping for. Smaller companies without the marketing budget to sustain years of category education often find that half-committing to category creation (some category language, insufficient investment in the education) lands worse than either committing fully or just positioning clearly within an existing category.

The AI-specific version of this bet, and its narrowing window

Category creation carries a distinct, sharpened risk profile for AI-native startups specifically in 2026, worth understanding separately from the general strategy. Current analysis puts the window for an AI-native founder to cement genuine category ownership at roughly 12 to 24 months before larger incumbents arrive with bigger budgets and start contesting the category directly — a category creator that takes longer than that to lock in analyst and market recognition risks having the category absorbed into a platform incumbent's existing offering rather than remaining independently owned. The specific threat in 2026 is that foundation model providers (OpenAI, Anthropic, Google) and platform incumbents (Salesforce, Microsoft, ServiceNow) are aggressively reframing emerging AI categories as mere features of their existing platforms, which is a faster and more direct absorption threat than a traditional competitor slowly catching up on features.

This produces a genuinely contrarian recommendation from current strategy analysis, worth weighing against the classic category-creation playbook: for most AI startups in 2026, the more capital-efficient path is "enter first, create later" — riding existing, already-educated buyer demand for AI tools generally, rather than committing to the slower, more expensive burn of inventing an entirely new category from nothing. Historical category kings like Drift, Gong, and Datadog reportedly burned upward of $50 million each before reaching payback on their category-creation investment — a spend level few AI-native startups in a fast-moving, incumbent-contested space can sustain for the multi-year education runway category creation actually requires. The exception the analysis carves out: category creation still makes sense when the underlying wedge genuinely requires a new kind of buyer to exist that doesn't currently make purchasing decisions at all — not just a new vendor for a purchasing decision that already happens today.

Practical guidance

  • Don't attempt category creation as a branding exercise layered on top of a fairly ordinary product — the underlying problem and solution both need to be genuinely distinct.
  • Be honest about the budget and time horizon required — category creation is a multi-year market education investment, not a campaign.
  • If you can't articulate the specific, relatable frustration your category addresses in one plain sentence a customer would immediately recognize, the category likely isn't sharply defined enough yet.

Sources: Sapphire Ventures — Category Creation for Long-Term Differentiation, Apex Brands — Category Creation Strategy for B2B Startups 2026, Forbes — Why Category Creation Beats Competing On Features, Institute PM — AI Category Creation Strategy: When to Create a New Category vs Compete in an Existing One

Keep reading

Get new posts as they publish

No spam — just the next post, straight to your inbox.

Discussion