Your research, every form it should take. Extracts the findings buried in your white papers and original data, then turns each one into the blog posts, executive summaries, LinkedIn posts, and press releases your team would otherwise write from scratch.
A walkthrough of Research Engine in action.
Most enterprises sit on more original data than they ever use. White papers, customer research, internal studies, annual reports, founder essays. Each one is worth ten pieces of content. Most get published once and never touched again. Research Engine fixes that.
Upload the document. The tool reads it and extracts the discrete findings buried inside, sorted into categories the team can actually navigate. One source document recently produced ten distinct findings across general, technology, legal, and regulatory categories. From there, the content factory takes over. Pick a finding, configure the output, and the tool generates the blog post, the executive summary, the LinkedIn post in a professional tone, or the press release draft. Copy, download, ship.
This is original-data-as-a-service. The research your team already paid to produce becomes the engine that feeds the content pipeline. Every finding becomes a piece of authority content the LLMs can cite. Every piece is grounded in evidence you own.
Every research document run through the engine produces four things the content team can publish from the same week.
The discrete claims, statistics, and conclusions buried in long-form research. Surfaced as individually citable units, not paragraphs the team has to mine by hand.
Every finding sorted into categories like general, technology, legal, or regulatory. The team navigates straight to the findings that matter for the next content cycle.
Each finding can be turned into a blog post, executive summary, LinkedIn post, or press release draft. The structural work is done before the writer opens the document.
Configure each output by tone (professional, conversational) and target audience. The same finding produces a board-ready memo and a LinkedIn post without rewriting.
Research Engine is the original-data layer of the deployment. It runs at every phase, but the use case shifts from extracting existing research to feeding the ongoing content rhythm.
The first pass runs every existing white paper, report, and study through the engine. The team has months of citation-ready content drafts before any new research is commissioned.
Every new piece of original research runs through the engine on publication. Each one fuels weeks of repurposed content across blog, executive channels, and press.
The flagship annual study becomes the centerpiece. Vertical cuts, executive bylines, and continuous repurposing make the research a recurring authority signal across every LLM.
A discovery call walks through a sample Research Engine run on one of your white papers or studies and shows the findings, formats, and content drafts it would surface.
Book a Call Or run the free AI Visibility Audit first to see your current citation share.