Content Pipeline | Marketing Automation

We built a comprehensive content operations platform starting with a centralized request intake portal that captures briefs, deadlines, target audience, SEO requirements, and stakeholder approvals needed before any work begins. Each content type — blog articles, email campaigns, social posts, case studies, product pages — has its own workflow template with appropriate stages, reviewers, and quality gates. The system manages version control automatically, maintaining complete edit history and enabling easy comparison between drafts. A centralized asset library stores approved images, brand elements, data visualizations, and reusable content blocks that writers can access without hunting through shared drives. The AI writing assistant is trained on the company's best-performing content and brand guidelines, helping writers produce first drafts that already match tone and style requirements. SEO optimization is built into the workflow — the AI analyzes keyword density, heading structure, internal linking opportunities, and competitive content gaps before any piece advances to editing. Competitive gap analysis runs automatically when content is briefed, identifying angles and keywords that competitors rank for but the company doesn't cover. The editorial dashboard provides real-time visibility into the entire content pipeline with bottleneck detection and SLA timers that alert managers before deadlines slip. Integration with the company's publishing platforms enables one-click deployment once content passes final approval, eliminating manual publishing steps.

Request intake portal, Workflow per content type, Version tracking, Asset library, AI Writing Assistant, Next.js editorial dashboard