Everyone's AI Product is 'Actually' Good. That Word is the Whole Story
Jack Hurring, Business Development
Walk any developer or enterprise tech conference floor right now and one word is doing an
enormous amount of work on the booth signage, the one-pagers, and the pitch decks: actually. “AI that actually understands your codebase.” “Automation that actually works.” “Finally, AI you can actually trust.”
It shows up so often it stops registering as language and starts registering as wallpaper. That’s worth stopping on, because “actually” isn’t a neutral word. It’s a repair word. Nobody
says a car “actually starts” or a spreadsheet “actually calculates.” You only reach for “actually”
when you’re pre-empting an objection the listener already has in their head. The word is a tell: an entire category of marketing is running on it because developers still don’t trust that these products do what they say.
The Data
Developers walk into every pitch carrying scar tissue. Trust in AI tool accuracy fell from
40% to 29% in a year, even as adoption hit 84%, and 75% would rather ask a human than trust an AI answer they don’t believe (Stack Overflow, 2025). That’s the mindset “actually” is trying to talk its way past.
What closes that gap isn’t more confident language; it’s proof people can check themselves. Free trials and demos are the two most influential resources in a B2B tech buying decision, well ahead of vendor claims, and nearly three-quarters of buyers lean on reviews or a peer who’s used the tool first (TrustRadius, 2026). Peer recommendations beat vendor websites for trust too, 73% to 55% (SurveyMonkey and Reddit, 2026).
We see the same pattern in our own work: social listening across AI tool vendors shows that posts anchored in specific benchmarks or measurable impact outperform posts leading with marketing language in engagement, and proof-driven paid creative helped an AI inferencing platform hit its unique visitor target ahead of schedule (Catchy, 2026).
The Analysis
“Actually” is a hedge word deployed by a marketer who knows, at some level, that the baseline expectation for the category is disappointment. It works the way “honestly” works in a sentence: the moment someone says “honestly, I didn’t take the money,” you start wondering about the money. Its use is a concession that the audience’s prior perception is that AI tools don’t do what they claim.
This matters most with the audience walking that show floor. Senior engineers and architects
hold veto power over procurement, and they’re the most distrustful group in every recent survey. A hedge word doesn’t reassure them, it confirms what they already suspected: the product hasn’t earned the claim, so the vendor is trying to assert it into existence with an adverb.
“Actually” tries to do the job of proof without doing the work of proof. Proof is a benchmark, a reproducible demo, a named customer with a specific before-and-after number, an audit trail a skeptical engineer can inspect themselves. And the wider buyer data backs this up: people trust what other users say over what vendors say about themselves. “Actually” asks for faith, and developers keep telling us, survey after survey, that faith isn’t what they’re buying with.
What This Means for Developer Marketing Teams
Replace the claim with the artifact. If your instinct is to write “AI that actually gets it right,” ask what would let a skeptical engineer verify that themselves in under thirty seconds. A benchmark number, a side-by-side diff, a named failure mode and how it’s handled. Lead with that, and the adverb becomes unnecessary.
Say the boring, specific true thing instead of the confident vague thing. “94% accuracy on X benchmark, here’s what the other 6% looks like” builds more trust with a senior engineer than “actually accurate” ever will, because it doesn’t ask for faith. It gives them something to check.
Train your booth and sales teams on the tell. The same instinct that puts “actually” in copy shows up in live pitches, usually right when a prospect asks a hard question. Coach sales reps to swap the hedge for a specific answer, even an imperfect one: “It struggles with X, here’s how we handle that” beats “it actually handles that fine” every time with this audience.
Developer and technical buyers aren’t reading your booth banner for reassurance. They’re reading it for evidence, and they can tell the difference. The vendors who stop asking “actually” to do the work of a benchmark, and start putting the benchmark on the banner instead, are the ones who’ll still be worth listening to once the word wears out.
For more information read the full Developer Marketing Insights Report.
