Is calling our product AI-powered still helping us, or is the word costing us trust?

Keep the word where it names a mechanism a buyer can verify, and cut it everywhere else. That answer changed in the last two months. “AI-powered” used to be a claim that either differentiated you or quietly did nothing, and as of August 2026 the largest B2B platform on earth classifies polished, substance-free content and reports showing 40% fewer views of it. The garnish now carries a measurable cost.

What changed about the word in 2026?

LinkedIn shipped a “seems like AI slop” report button at the end of July, and by late August it was publishing results. Chief Product Officer Hari Srinivasan told Engadget the button “has been used more than a million times since its launch,” and Social Media Today puts that at more than a million people inside the first two weeks. Srinivasan also named the algorithmic consequence out loud: “Members are now experiencing 40% less views on what we classify as AI slop from just a few weeks ago.”

The definition sitting underneath that penalty is the part your homepage should worry about. Sam Corrao Clannon, LinkedIn’s Creator Product Lead, told Social Media Today: “We internally define AI slop as content that is potentially sophisticated or polished in its presentation, but lacks substance.”

Polish without substance, named by the product lead at the platform your buyers actually read, and then demoted on purpose. We’ve been calling that AI-Parmesan for two years. This is the first time anybody has attached a number to it.

Did LinkedIn just penalize using AI at all?

No, and that distinction carries the whole argument. Corrao Clannon was explicit that “people using AI to refine their language is fine.” The penalty lands on content that arrives finished and says nothing. LinkedIn also pulled its own “enhance your post” AI button when it shipped the slop report, replacing it with a proofreader that corrects words without rewriting your voice. A company that sells AI tooling retreating from its own AI writing feature tells you which way the wind is blowing more clearly than any of its numbers do.

Why would “AI-powered” cost us trust when our AI is real?

Because the claim stopped working as evidence. When every competitor in your category can generate the same sentence for free, a buyer reading it learns nothing about you and has to go hunting for what sits underneath. The question in their head moved from “do they have AI?” to “is there anything real here?” A label that used to open the conversation now opens an audit.

Getting more specific doesn’t buy you out of it either, and we have our own numbers on that. Across 302 B2B homepages we scored on the AI-Parmesan Index, 181 earned full marks for specific, mechanistic AI claims. Seventy-eight of those 181 are still sitting in the Invisible band. Specificity is the floor now, not the differentiator. For the mechanics of making an AI claim a skeptical buyer will actually believe, that job is covered in how do we prove our AI is real.

How do we tell whether our AI claim is load-bearing?

Run the deletion test on your homepage hero. Delete every instance of “AI-powered,” “intelligent,” “agentic” and “AI-driven,” read what’s left out loud, and see which of three things just happened.

Most $5M to $75M B2B companies land in the second row, and that’s the uncomfortable one. It means the phrase was never decoration on a story. It was standing in for a story nobody ever wrote down, which is why rewriting the headline keeps failing to fix it. That pattern is the subject of how do we differentiate when everyone claims the same benefits.

What do we say instead?

Name the thing the model actually does, in the buyer’s units. “AI-powered revenue intelligence platform” tells a CFO nothing they can act on. “Reads every closed-lost deal in your CRM and tells you which objection killed it” tells them what lands on their desk, and it happens to be checkable, which is the part that earns trust. The word “AI” is now the least interesting fact about a working system, because your competitor has one too. The interesting fact is what yours refuses to do, what it decides without a human, and what it hands back.

Two constructed examples, so the shape is clear. Before: “an intelligent, agentic platform that empowers revenue teams to unlock growth.” After: “we read your lost deals and name the objection that killed them, so your reps stop guessing.” Before: “AI-driven clinical documentation.” After: “we draft the note during the visit and flag the codes your auditors reject most, and a clinician signs every one.” Neither rewrite hides the technology. Both replace the category word with a mechanism, and both would survive a buyer asking “how?” on the next line.

Should we strip the word off the site entirely?

A blanket ban is the same mistake pointed the other way. Plenty of companies genuinely run on models, and hiding it reads as evasion to a technical buyer who came to the site looking for exactly that. The decision is about load, not vocabulary. Keep the word once, further down the page, attached to a mechanism and a boundary: what it does, what it will not do, where a human stays in the loop. Take it out of the hero, where it’s competing with four hundred identical heroes and losing.

Why is this a narrative identity problem rather than a copy problem?

The only durable defense against getting classified as polish without substance is having something to say that a model couldn’t have produced from the category average. That’s not a writing skill. It’s a decision about who you’re for, what you stand against, and which truth you’ll put in public while your competitors hedge. Solution-Centric Marketing is the engine that manufactures category-average copy at industrial volume, and it’s the reason “AI-powered” ended up in hundreds of identical H1s in the first place.

AI brought the cost of content to zero. Volume was never going to be the moat. Perspective is, and lived truth is. What’s new in 2026 is that a platform started charging you for the difference. The sameness diagnosis lives in AI-Parmesan, the legal exposure when the claim outruns the product lives in AI-Parmesan just became a securities problem, and the reason your own AI keeps writing the category average lives in why does AI keep producing generic content for our company.

“When every competitor can make the same claim for free, the claim stops being evidence and starts being an invitation to audit you.”

... Greg Rosner, founder of PitchKitchen

Run the deletion test this week. If the hero survives without the AI words, you have a narrative and the labels were costing you. If it empties out, you found the real problem, and no amount of rewriting that sentence will refill it.