A claim can pass your grammar check, sail through your fact-checker, and still be the reason a reader stops trusting you. That’s what a vague claim does.
“Industry-leading platform.”
“Trusted by companies worldwide.”
“Proven results.”
None of these are false, exactly. They’re just empty enough that nobody could ever prove them wrong. And that’s the problem.
Two-thirds of B2B buyers (67%) have ruled out a vendor because the evidence behind a claim didn’t hold up (UserEvidence, 2025). It never had anything behind it to begin with.
Let me explain my method: what makes a claim vague instead of just concise, why it slips past both proofreading and fact-checking, five patterns to scan your drafts for, and how to rewrite them before they publish.
Highlights
- A vague claim isn’t false, it’s unfalsifiable, and that’s what makes it a credibility risk
- 67% of B2B buyers have ruled out a vendor over untrustworthy evidence
- Proofreading and fact-checking both miss vague claims because there’s nothing concrete to check
- Five named patterns to scan for, split into language-level and attribution-level red flags
- Worked before-and-after rewrites you can apply to your next draft
Table of Contents
What makes a claim “vague” (not just concise)
A vague claim is one that can’t be verified or falsified as written, no matter how short or plain the wording is.
“Industry-leading” fails this test completely. It’s not true, and it’s not false. There’s no measurement anyone could point to that would settle it either way.
That’s different from puffery, technically. Puffery (“great support team”) is legally exempt from substantiation requirements because no reasonable reader takes it as a factual claim. Vague claims sit right next to it, dressed up to sound like a fact when they’re not one.
Here’s the misconception that keeps this problem alive: if a claim isn’t technically wrong, it’s fine. It isn’t. “Industry-leading” doesn’t need to be inaccurate to erode trust. It just needs to be unfalsifiable, and it already is.
The business cost of vague claims in B2B content
UserEvidence’s 2025 Evidence Gap report surveyed 811 B2B buyers, sellers, and marketers. The finding that should worry any content lead: 26% of deals die specifically for evidence-related reasons.
- ROI that was claimed but never proven.
- A live customer reference that was requested and never provided.
- Competitive differentiation that was claimed but never backed up.
None of those show up as a typo or a fact your process would catch. “We help companies grow faster” has nothing specific enough to check.
That gap doesn’t stay invisible for long. If your content team already worries about proving ROI, this is the same problem playing out earlier in the funnel: a prospect’s own buying committee flags the vague claim before you ever hear about it, usually in a Slack thread you never see.
Your own reporting won’t catch it either. You can track traffic, time on page, and form fills all day, but none of that shows you the moment a case study claim gets laughed out of a vendor-comparison call because nobody can find the number behind it. Your content metrics look fine, but your deals are still dying on evidence. That gap is where vague claims hide.
There’s a difference between vague and wrong, though. The risks of publishing unverified claims come from being wrong. Vague claims aren’t wrong, they just don’t convince anyone. Nobody flags them. They just quietly cost you the deal.
Why proofreading can’t catch this (and fact-checking can)
Proofreading checks grammar, spelling, and flow. It’s a final read, not an audit of what a claim actually says. A vague claim can be grammatically flawless. “Our platform is the fastest on the market” has no typo in it. It reads clean. Proofreading was never built to flag it.
That’s the trap in assuming “our editor checks everything.” If “checks everything” means proofreading, it doesn’t. That’s exactly why claim verification has to be its own separate stage, not something proofreading happens to catch along the way. A real fact-check flags “our platform is the fastest on the market” as unsupported and pushes for the number, the study, the comparison behind it.
Claims that sound sourced but aren’t:
WordStream‘s list of 25 overused phrases covers the language half.
The orphaned statistic: a percentage with no source and no denominator. For example, “90% of users report better results.” Better than what, measured how, reported by whom? Without an answer, the number is decoration.
The uncredited “studies show”: borrows authority it hasn’t earned. Compare “Studies show B2B buyers don’t trust vendor claims” to “A 2025 UserEvidence survey of 811 B2B buyers found that 67% have ruled out a vendor over untrustworthy evidence.” The second version names the study, the sample, and the number. The first is just a costume.
The unnamed “many customers report”: name the customer, the count, or the published case. If you can’t, don’t publish the claim yet.
Before and after: rewriting vague claims into defensible ones
Here’s what this looks like on an actual page.
- A homepage claim: “Trusted by leading companies worldwide” becomes “Used by 40+ B2B SaaS teams, including three in the Forrester Wave for content operations.” One tells the reader nothing. The other gives them something to check.
- A case study claim: “This client saw massive improvement in their content pipeline” becomes “This client cut their editing turnaround from 9 days to 2, and their own project logs prove it.” Same story, but now it’s a story with a receipt.
- A comparison-page claim: “Our approach is more thorough than traditional editing” becomes “Traditional copy editing checks grammar and flow. Our claim-level editing pass also verifies every stat, quote, and product claim against a primary source.” The rewrite doesn’t just add a number. It names the actual difference the vague version was gesturing at without saying it.
- An attribution claim: “Research shows AI-generated content carries more risk than human-written content” becomes “A 2025 UserEvidence survey of 811 B2B buyers found 67% have ruled out a vendor over untrustworthy evidence, a risk that applies to AI-assisted and human-written claims alike.” The rewrite doesn’t just add a citation. It corrects the framing the vague version got wrong.
Take the first example alone: six words versus fifteen. The rewrite costs you nine words and buys you a claim nobody can dismiss.
Why this matters more now
There’s a newer reason this isn’t optional anymore. 58% of B2B buyers now start their research process with AI tools, and per UserEvidence’s CEO Evan Huck, those tools are built to reward original, verified sources over vague ones.
That matters because AI models summarizing your content run into the exact same wall a human fact-checker does. It can’t cite a number that isn’t there, so a vague claim just gets skipped.
A vague claim used to be a trust problem your sales team could smooth over in conversation. Now it’s also a visibility problem. When a buyer asks ChatGPT or Perplexity to compare vendors, those tools pull out claims with numbers, named sources, and specific comparisons to cite. A vague claim like “trusted by leading companies worldwide” has nothing to extract, so it gets left out of the answer entirely
Building this into your editorial process
Run your next draft against the five patterns above (the unfalsifiable superlative, the orphaned statistic, the uncredited “studies show,” the unnamed “many customers report,” and the vague comparative). Catching vague claims and verifying specific ones are two different steps, and you need both. A claim that clears this scan still has to hold up against a primary source. That verification is its own process, and claim-level editing runs both. Claim-level editing runs both steps, plus fixes the prose at the same time, so you’re not paying for three separate passes when one will do.
If you want a second set of eyes on where your content is making claims it can’t back up yet, book a discovery call and I’ll show you what a claim-level pass would catch in your last three published pieces.
