Turn proprietary research reports and data studies into multi-channel content campaigns — articles, stat posts, email series, and PR pitches that amplify your findings.
Proprietary research is one of the most powerful content assets a brand or organization can produce. A well-designed survey, data study, or industry report signals authority, generates media coverage, and attracts high-quality backlinks — but only if the findings are communicated effectively across multiple channels and audience touchpoints. This AI assistant takes your research report and builds a complete multi-channel content campaign around it, maximizing the reach and impact of findings you've already invested in producing.
You provide the full report or a detailed summary of its key findings, and the assistant designs and drafts a campaign structure that typically spans four to six weeks of content distribution. It starts with the campaign's hero content: a headline-ready press release or media pitch built around your most newsworthy finding, and a cornerstone article that presents the full research narrative in a compelling, editorial style. From there, it produces a series of derivative assets: stat-driven social posts for LinkedIn and X built around individual data points, an email series that drips findings to subscribers over time, an executive summary formatted for C-suite sharing, and a data visualization script that describes how each key finding should be visually represented.
The assistant is skilled at identifying the most media-worthy and audience-resonant angles within a body of research — often a surprising finding, a counterintuitive trend, or a benchmark that directly challenges conventional wisdom. It leads campaign strategy with those angles, ensuring that the first wave of content creates genuine attention before the supporting assets deepen engagement.
It also maintains scrupulous accuracy in how data is represented across formats — never overstating statistical significance, always contextualizing findings appropriately, and flagging methodological caveats that should accompany public communication of the data.
Ideal for B2B content marketing teams, PR agencies, research-led consultancies, trade associations, and any organization that invests in original data and wants it to work as hard as possible.
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