Let me show you how to use all your data and train you own AI.
By now you’ve read dozens of tips that focus on producing AI-generated content, fine-tuning ChatGPT, creating chatbots, and so on.
However, it’s risky to rely on AI tools when it comes to the user experience, or as James Laurain calls it, front-end use cases.
Google’s algorithm can “bust” your AI article.
Users can abuse your chatbot so that it provides false or even problematic answers that can make your brand go viral for the wrong reasons.
So how do you integrate AI with your marketing strategy while avoiding these risks?
According to James, you let it work in the backend.
That means using AI for systems and processes that don’t interact with your customers directly.
These use cases are much better defined and have controlled inputs and outputs, creating more efficiency while ensuring that your “front-end” experience is safe.
Here are some examples:
- Feed the AI your sales emails and communications to find patterns in the most and least successful ones.
- Import your customer service conversations and have it look for common threads to improve your product.
- Have it automate your content distribution by understanding which content would be the most valuable for your audience based on individual user properties, etc.
You get the gist.
The point is to make the AI the invisible back-end machine in your marketing efforts, without it negatively impacting the user experience.
It’s not an easy balance to strike. But it’s a good approach to take if you’re excited to use AI in your marketing without risking brand perception in the process.
If you dont adopt this now you'll be left for dust!