AI & Deep Tech
AI PR has a credibility problem the sector built for itself. Every company claims to be doing something with AI, most coverage reads the same, and journalists have grown sceptical of releases that lead with the word rather than the result. What cuts through: what the technology actually does, for whom, and what changed because of it.
Volume and scepticism. Every funding round, every product launch and every executive move in tech now comes with an AI angle attached, which means journalists covering the space are pitched constantly and have become correspondingly harder to convince with hype alone. The pitches that land are specific: a real customer outcome, a real technical differentiator, a real number, not a generic claim about transforming an industry.
Funding rounds and the strategic rationale behind them. Model or product releases where the genuine technical advance, not the marketing language around it, is the story. Enterprise partnerships and deployments, where a named customer outcome carries far more weight than a claim about capability. And founder and technical-leadership visibility, since a credible voice explaining what a technology actually does is often more valuable than a press release about it.
Directly, though the two are distinct services. AI visibility is about making any brand something ChatGPT and Perplexity choose to cite. For an AI company, the earned coverage this practice builds, real placements in outlets AI systems already treat as credible, does double duty: it's the traditional PR outcome, and it's the independent corroborating signal that gives AI systems a reason to cite the company in its category.
FAQ