If every product on the page is "best-in-class," the phrase stops doing any work.
That's the realization spreading through B2B marketing and SEO teams right now. Not a full ban on the phrase, but a noticeable pullback. Fewer homepages lead with it. Fewer messaging docs default to it. The shift isn't ideological; it's practical. The phrase stopped converting the way it used to, and teams noticed.
How "Best-in-Class" Became the Default
It's easy to see why the phrase spread. It's flexible, low-risk, and doesn't require a citation, a benchmark, or a named customer behind it. For a long time that was enough, and leadership signed off on it because it sounded competitive and nobody had to defend a number in a board review.
The problem shows up at scale. When most competitors in a category use identical language, it stops differentiating anyone. Worse, it starts signaling the opposite: that a company didn't have anything more specific to say about itself.
Why Buyers Are Reading Past It
B2B buyers research independently before they ever talk to sales. They cross-check vendor claims against reviews and peers, and AI search tools tend to surface specific data points over slogans. They check G2 and Capterra, ask peers in Slack or Reddit communities, and treat vendor copy as a starting point — not proof.
Generic superlatives don't hold up well under that kind of scrutiny. Look at the difference:
- "Our platform is best-in-class." → Unverifiable. Nothing to check.
- "Our platform helped enterprise teams cut reporting time by 67%." → Specific. Checkable. Memorable.
To be fair, this isn't universal. In low-research, low-stakes categories — cheap tools, impulse buys, early-funnel awareness content — confident, simple superlatives can still perform fine. The pullback is strongest in considered B2B purchases, where buyers have time, budget pressure, and peer input shaping the decision.
It's also worth saying plainly: quantified claims aren't automatically more honest than superlatives. A cherry-picked stat ("67% faster," measured under ideal conditions on a small sample) can mislead just as easily as a vague adjective — it just looks more credible. Specificity earns trust only when it's actually verifiable, not just numeric.
AI Search Is Accelerating the Shift
This is the part most teams haven't fully adjusted for. Generative engines like ChatGPT, Gemini, Perplexity, and Google's AI Overviews don't tend to cite slogans. They extract structured, specific claims: numbers, named methodologies, named customers, and third-party validation.
A page full of unsupported superlatives gives these systems little to pull from. A page with quantified outcomes and named proof points is more likely to get surfaced and cited. That's the practical core of GEO (Generative Engine Optimization): write sentences a system would want to quote, not ones a reader skims past.
One key takeaway: specificity is extractable. Vague claims usually aren't — they just sit there as filler.
What Teams Are Using Instead
Marketing and SEO teams shifting away from "best-in-class" are generally replacing it with:
- Quantified outcomes: "reduced onboarding time by 40%," not "fast onboarding."
- Category-specific strengths: a narrow claim about what you're actually best at, not a broad one.
- Customer proof: named logos, case studies, real numbers attached to real accounts.
- Named methodology: a process that's yours, not generic best practice.
- Proprietary technology: something competitors can't trivially replicate.
- Relative positioning: where you sit against specific, named alternatives.
So what's recommended? Instead of "Our platform is best-in-class," try "Our platform helped enterprise teams reduce reporting time by 67%." The second version is also the one a buyer actually remembers a week later — partly because it can be checked, and partly because it's specific enough to disagree with.
Where Is Brand Positioning Heading?
Brands pulling ahead right now aren't asserting superiority — they're demonstrating it and letting buyers do the comparison math. That's not purely a copywriting trend; it's a response to two audiences — human buyers and AI systems — both increasingly filtering out claims they can't verify.
Key Takeaways
- Marketers aren't abandoning "best-in-class" outright. They're pulling back where it no longer converts.
- The phrase still works in low-research, low-stakes categories; it struggles in considered B2B purchases.
- Quantified claims aren't automatically more honest — they're only more credible when actually verifiable.
- AI search systems extract specific, structured claims rather than citing slogans, which is accelerating the shift.
- The most durable approach: named proof, real numbers, and claims a buyer (or an AI system) can check.
FAQ
Is "best-in-class" still a good marketing claim in 2026?
It depends on the category. In low-stakes, low-research purchases it can still work; in considered B2B sales, buyers usually look past it toward something checkable.
What does "best-in-class" actually mean in marketing copy?
In most cases, nothing measurable — it's a superlative used broadly enough across a category that it no longer signals differentiation.
What should I say instead of "best-in-class"?
A specific, verifiable claim: a quantified outcome, a named customer result, or a named methodology — something a buyer can actually check.
How do AI search engines evaluate marketing content?
They tend to extract structured, specific claims — numbers, named proof points, and methodologies — rather than quoting general statements.
Are quantified stats always more trustworthy than superlatives?
No. A misleading or cherry-picked statistic can be just as unreliable as a vague adjective — it only earns trust if it's actually verifiable.