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running-content-engine

当团队需要一个系统化的内容生产流程时，当内容输出是临时的或不一致时，当现有内容缺乏分发计划时，当缺少BOFU转化内容时，或者当单个内容人员需要借助AI辅助最大化产出时使用。当内容存在但没有测量或再利用系统时也适用。

person作者: jakexiaohubgithub
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Content Engine

Overview

The content engine turns positioning, messaging, and customer insight into published assets that generate pipeline. At $1M-5M ARR, content compounds only when operated as a system with prioritization, AI-assisted production, distribution checklists, and performance measurement.

When to Use

  • Content production is ad hoc with no editorial calendar or backlog
  • Team publishes mostly TOFU blog posts but lacks BOFU conversion content
  • Content exists but has no distribution plan or repurposing workflow
  • A single content person needs to produce at scale with AI assistance
  • No measurement system exists to tier and optimize existing content
  • Sales team cannot find or use marketing content in deals
  • Founder knowledge is not being captured as content

Don't use when: You have no upstream positioning, messaging, or customer research to base content on. Build those first.

Quick Reference

| Phase | Duration | Output | |-------|----------|--------| | Strategy foundation | Day 1-2 | Funnel allocation, channel map, editorial themes | | Prioritization and scoring | Day 3 | Scored backlog of 30-50 pieces | | AI-assisted production | Ongoing | 15-25 pieces/month via 7-stage pipeline | | Repurposing engine | Per piece | 10+ format variants per core asset | | Founder content | Ongoing | 4-6 authentic voice pieces/month | | Editorial calendar | Ongoing | Monthly calendar with weekly theme cadence | | Performance measurement | Monthly | Tiered library with optimization actions |

Core Deliverables

  • Content Strategy -- Funnel allocation (50% BOFU, 35% MOFU, 15% TOFU) and channel-content fit map
  • Scored Content Backlog -- 30-50 pieces prioritized by intent, ICP relevance, competitive gap
  • AI Production Pipeline -- 7-stage workflow (brief, draft, enrich, edit, optimize, distribute, measure)
  • Repurposing Framework -- 1-to-10 system per core asset
  • Editorial Calendar -- Monthly structure with BOFU, MOFU, founder, and research weeks
  • Performance Tier System -- 90-day tiering with actions per tier

Common Mistakes

  • Inverting funnel allocation (80% TOFU instead of 50% BOFU)
  • Publishing without a distribution checklist completed before go-live
  • Using AI for volume without quality control checkpoints
  • Gating generic content behind forms instead of ungating value
  • Ignoring content decay and letting stale pieces erode authority
  • Creating content without a proprietary angle (original data, customer quote, unique framework)
  • Separating content from sales instead of building with a "sales can send this" lens

Integration

Feeds into: optimizing-geo-visibility, creating-sales-enablement, executing-launch-playbook, reducing-cac, accelerating-pipeline, growing-nrr

Refresh: Strategy quarterly. Backlog and performance monthly. Full library audit every 6 months.

See workflow.md for phase-by-phase execution, scoring matrix, AI production pipeline, distribution checklists, and measurement tiers.