- Content Marketing and SEO Transformation
- The Changing Job Market
- A Future-Proof Framework
- Introduction to AI Definitions and Concepts
This chapter is from the book
This chapter is from the book
This chapter is from the book
A Future-Proof Framework
The hype of the AI revolution has already passed. Many companies are actively integrating AI into their marketing operations. In the age of AI, marketers and brands need a future-proof framework to get ahead and stay ahead.
For Marketers
Certainly, the importance of having a firm grasp on AI tools relevant to your content marketing role goes without saying. You may be using AI content marketing platforms like Copy.ai, Jasper, or Writer; or conversational AI tools like ChatGPT, Claude, Copilot, Gemini, or Perplexity. Another possibility is that you’re using channel-specific tools like SEMrush or Ahrefs that have integrated AI capabilities into their SEO platforms.
We believe the core pillar to your success as an AI content marketer is strategy. Content creation is one thing. It’s quite another to understand the opportunities and liabilities of AI and how to best integrate it into your marketing process to maximize efficiency with minimal risks to your employer’s brand or business. As much as every brand must prioritize customer experience, marketers are the ones on the front lines, ensuring that content aligns with customer needs and delivers value. As you’ll read in Chapter 4, “Authenticity and Authority,” creativity plays a big role. It’s up to you to find ways to keep the brand’s voice and values in content instead of letting AI kill it.
A common complaint from content marketers is feeling undervalued. That’s likely because content marketing return on investment (ROI) is often tied to long-term results like brand awareness and reputation, so it’s hard to measure results in real time. Although later in the book we highlight key content marketing metrics and how AI is changing analytics, we encourage all content marketers to improve their data analytics knowledge. You don’t need to become certified, although that wouldn’t hurt. Content marketing leaders should collaborate with analytics leadership on key performance indicators (KPIs) for content marketing. Team members should ask leaders what those KPIs are, and how to align their work to them. Although job security is never guaranteed, demonstrating content marketing performance improves your chances of staying and thriving within the company. Understanding analytics is an important steppingstone toward a leadership role.
For Brands
Our top recommendation for corporate brands is to develop a company-wide AI strategy, along with department-specific strategies. Establishing an AI framework first will help your teams avoid costly mistakes later. This framework should include goals for AI development and use. It should also include AI policy (rules) and governance (operations). Chapter 6, “Bias, Ethics, and Legal Risks,” includes guidance for creating a policy and governance strategy. You should also consult with legal counsel experienced in advising on AI use in the workplace.
To support your teams in the effective integration and use of AI technology, we highly recommend investing in AI training for employees. Ask your human resources team to explore AI workplace training services that may be provided by the employee learning or team management platform your company uses. Be sure your training covers your AI policy, what should be included in an AI policy, and who should be involved in developing it. We will explain this in more detail in Chapter 6. We also strongly encourage you to update your employee security training to include AI-related issues and safety best practices.
Companies should not solely focus employee training on policy and security. Each team using AI should receive ongoing departmental training and participate in routine audits to identify effective use cases, surface questions or concerns, and identify potential risks as AI use evolves within the organization. Employee AI education is valuable in future-proofing your company against changing technology and regulations. It will also significantly boost productivity.
We stress the importance of human supervision of AI in content marketing and SEO throughout this book. Yes, you can automate many tasks to cut costs and gain efficiency. But keeping human oversight is crucial.
Finally, every company must prioritize the customer experience when using AI. For small businesses looking to build a brand, a unique voice stands out. For larger companies, irresponsible use of AI in content marketing can damage the brand, trigger SEO issues, and become an expensive legal liability.
