Marketing Content Agent
80% faster content production; higher consistency and quality; marketing redirected to strategy & growth
The team knew what to say, yet the process of brainstorming, drafting, formatting, and approvals turned every content update or post into a small project. The result was a thin LinkedIn presence, a growing SEO backlog, and a team stuck in coordination instead of growth.
Approach & Build
We replaced ad-hoc drafting with a repeatable system. An Idea Engine sat behind each team member’s name, learning their role, focus areas, and voice. It proposed credible LinkedIn angles each week with hooks, outlines, and suggested CTAs that sounded like them, not a template.
In parallel, a Site Content Pipeline mapped website gaps against search priorities and produced long-form drafts—blogs, glossary entries, and resource pages—with structure, internal links, and metadata already in place. Humans kept one approval step; automation handled everything before it.
If the backlog ever ran dry, the system scanned the site sitemap and competitor websites to auto-suggest new topics and outlines.
How it Works
Intake or Auto-Ideation → Ideas added by team members or generated from sitemap/competitor scans
Draft Generation → AI agents create CMS-ready drafts with structure, links, and SEO metadata
Approval → Approvers receive formatted previews via email for one-click approval or feedback
Publish & Post → Approved content publishes to the site; LinkedIn posts publish automatically (company) or are sent to team members via email (personal)
Cadence → Daily checks keep the pipeline flowing; the newest and highest-priority items ship first
