AI FOR CONTENT STRATEGY
Chapter 16: Content Lifecycle Management
INTRODUCTION
AI for Content Strategy
CHAPTER 1
Analyzing Market Trends
CHAPTER 2
Competitor Analysis
CHAPTER 3
Attitude Intelligence Customer Segment Analysis
CHAPTER 4
Smart Market Diagnosis Questions
CHAPTER 5
Buyer Persona Research
CHAPTER 6
Ideal Prospect Persona Summary
CHAPTER 7
Customer Decision Journey
CHAPTER 8
High-Level Content Strategy
CHAPTER 9
Goal Setting and Objective Definition
CHAPTER 10
Budget and Resource Allocation
CHAPTER 11
Creating a Campaign Brief
CHAPTER 12
Identifying High-Impact Content Topics
CHAPTER 13
Creative Content Brief
CHAPTER 14
Content Distribution and Promotion Strategy
CHAPTER 15
Content Calendar / Editorial Calendar Planning
CHAPTER 16
Content Lifecycle Management
CHAPTER 17
Content Governance and Compliance
CHAPTER 18
Customer Feedback Loop
CHAPTER 19
Performance Measurement and Optimization
CHAPTER 20
Content Creation
CHAPTER 21
AI Tools for Content Marketing
CHAPTER 16
Content Lifecycle Management
Effective content lifecycle management is crucial for maintaining a high-quality and impactful content strategy.
Here’s how AI, based on previously completed content marketing strategy steps, can enhance each stage of content creation and ensure long-term relevance and accuracy:
The content creation process
AI can suggest a streamlined content creation process by analyzing market trends, competitor strategies, and customer behavior. Using insights from goal setting and objective definition, AI can recommend a structured workflow that ensures consistent and efficient content production from ideation to publication.
Ideation, creation, editing, and publishing responsibilities
AI can suggest the most suitable job roles for each stage of content creation. It can match skill sets with specific tasks, ensuring that content strategists, writers, editors, and marketers are assigned roles that leverage their strengths.
Of course, if you are working with a small team of only one or two people, these people may wear many hats, but a conversation with AI about your available resourses can assist in making decisions about task delegation.
Workflows and tools to manage the process
AI can recommend the best project management tools and workflows by evaluating the efficiency of current systems and tools used in competitor analysis. It can suggest platforms like Trello, Asana, or a customized content management system that aligns with the team’s needs and enhances productivity.
Maintainance and updating content
AI can automate the maintenance and update process by continuously monitoring content performance using analytics from previously defined SEO strategies and editorial calendars. Automation tools can alert the team when content needs refreshing or updating based on changes in market trends or audience behavior.
AI can identify outdated content through regular audits and use data-driven insights from smart market diagnosis and customer segment analysis to prioritize updates. It can suggest specific updates, such as adding new information, optimizing for SEO, and improving visuals, to keep the content relevant and effective.
