Every funding round, product launch and executive move in tech now comes with an AI angle attached, which has made journalists covering the space correspondingly harder to convince with hype alone. Getting past that starts with understanding exactly why most AI pitches get ignored.
Why AI press coverage is unusually hard to earn right now
Volume and scepticism, in roughly equal measure. Journalists covering AI are pitched constantly, by companies at every stage of maturity, most of them using near-identical language about transformation and disruption. A pitch that reads like every other AI pitch gets filtered out before a journalist reads past the first sentence, regardless of what the underlying technology actually does.
What actually gets past that filter
A specific, verifiable claim: a real customer outcome with a number attached, a technical benchmark that can be checked, a concrete detail about what changed for a named user. Generic claims about capability or category leadership, the kind that could apply to any AI company, are exactly what gets ignored. The more specific and falsifiable the claim, the more credible the pitch.
The news moments that actually work
Funding rounds framed around the strategic rationale, not just the number. Product or model releases where the genuine technical advance is the headline, not the marketing language wrapped around it. Enterprise partnerships and deployments, where a named customer outcome carries far more weight than an unnamed claim about capability. And founder or technical-leadership visibility: a credible voice explaining what the technology actually does often earns more attention than a press release announcing it.
Why naming real limitations helps, not hurts
Counterintuitively, a pitch that's honest about what a technology doesn't yet do is often more credible to a sceptical journalist than one that claims to solve everything. Overclaiming is the single most common reason an AI pitch loses credibility permanently with a specific journalist, since the category's reputation for hype means journalists are actively watching for it.
How this connects to AI visibility as a discipline
There's a genuine, non-obvious overlap for AI companies specifically: the earned coverage that traditional PR builds is also exactly the kind of independent, corroborating signal that helps AI systems trust and cite a claim about the company. See how AI visibility and PR for AI companies connect, since for this industry more than most, the two workstreams reinforce each other directly.
A practical starting point
- Identify the single most specific, verifiable claim about what the product actually does, not a category-level statement.
- Cut any sentence from a pitch that could apply to any other AI company unchanged.
- Lead with a named customer outcome or technical benchmark wherever one exists.
- Build founder visibility ahead of the next announcement, not starting from zero when it lands.
See our full approach to PR for AI and deep tech companies for how this plays out across a full campaign.