Creating quality content with AI
1. Creating quality content with AI
In this course so far, we explored how AI can supercharge research, planning, and ideation. Now we're ready to tackle the next frontier: creating high-quality content with AI that stands out rather than blends in.2. Content creation with AI
Content creation was one of the first apparent use-cases of generative AI, and it seemed revolutionary at first. But as audiences grow more discerning, a key drawback has emerged: AI-generated content often starts to sound the same.3. Content creation with AI
The words, tone, and voice tend to converge around the style of the underlying models, leading to content that feels generic and interchangeable.4. "Delving" into AI content
A great example is the volume of the term "delve" since the release of ChatGPT. So the objective of this lesson, is not just to outline how to use AI for content creation, but to outline rules for creating quality content that stands out with AI.5. Rule 1: Speak your audience's language
The first rule for creating quality content with AI is to leverage your research and ideation to speak the language of the customer. This is where AI research pays off.6. Rule 1: Speak your audience's language
Effective research for content creation comes in the form of understanding your audience's pain points, getting strong statistics that back up your claims, and building an outline that speaks to the challenges of your target persona.7. Rule 1: Speak your audience's language
For example, if you're writing a blog post about the "best running shoes for beginners," effective research may uncover the following: The exact questions beginners ask in running forums (like "how much should I spend?" or "do I need special insoles?"), the language your audience uses when thinking about their running shoes, common pain points that trip up new runners, and useful stats that could strenthen your content. Using this context in your prompts helps you create a blog post that answers real questions and fills content gaps, rather than generic listicles that blend in with every other article on Google.8. Rule 2: Be aware of the context
Rule number two is that managing context is key. When writing with AI in a chatbox, think of your conversation like sculpting rather than printing. This is where keeping track of the conversation context, or managing the thread of the conversation, is essential.9. Rule 2: Be aware of the context
For example, don't ask AI to generate a complete blog post in one shot. Instead, start with small paragraphs and improve them iteratively. Write a paragraph, review it, then give specific feedback. This approach lets you guide the AI toward your vision rather than accepting whatever it generates first. The ability to manage a thread, is essential for partnering with AI on content creation.10. Rule 3: Treat AI as the first draft
The third rule is perhaps the most important: treat AI output as a first draft, not the final product. This is where many marketers fall into the AI content trap—they generate content and publish it immediately without adding their unique perspective.11. Rule 3: Treat AI as the first draft
Use AI to overcome blank page syndrome and generate structure, but then layer in your human creativity. Add the insights, stories, and examples that only you know—such as customer conversations, data that you've analyzed, or analogies that have clicked with customers.12. Let's practice!
These three rules apply across the marketing function. Whether you're crafting email subject lines, writing landing page copy, developing blog posts, or creating social media content. Now, let's put your content creation skills to the test.Create Your Free Account
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