Project
CAP — Evidence-led content workflows
Research, write and improve search-focused content with company knowledge, structured AI review and human approval.
Turn research into content your team can stand behind
CAP, the Content Automation Platform, is an AIgency project for editorial and marketing teams. It brings company knowledge, search evidence and article review into one workspace, keeping the reasoning behind a draft close to the people who approve it.
Three paths through the editorial work
- Create new articles from researched topics and approved company knowledge.
- Refresh existing articles against an agreed change plan.
- Consolidate overlapping content into a reviewed article with implementation notes.
Google Search Console and DataForSEO inform research. Separate AI writing and grading stages support review, while people approve the exact version that becomes a final deliverable.
A reusable content library
Approved work becomes downloadable Markdown with version history. Teams can find previous articles, revisit decisions and prepare content for their own publishing workflow. CAP does not automatically publish changes to a company website.
Built for considered publishing
CAP is being developed as an internal content workspace. Live-provider quality calibration and production release checks are still ahead. Its purpose is to support editorial decisions; search rankings and AI citations are not guaranteed.
Have a similar research-to-publishing bottleneck? Talk to AIgency about CAP or a content workflow built around your company.