An AI prompt library for marketplace brands
You are probably hearing a lot—including from us—about the incredible ways AI tools can speed up your analytics and reporting.
If you have a strong MCP (and we’ll get to what that means at the end), the options for what you can ask your AI agent are pretty much limitless.
But of course it’s sometimes difficult to know where to start.
What are some concrete prompts you can ask your AI agent now, to figure out what’s really possible with AI?
To that end, we recently rolled out a free AI prompt use case library to help brands see more clearly what’s possible with AI.
This is admittedly a small library, especially when you compare it against the thousands and thousands or prompts you could be asking your agent. But we want this to be a starting point for your analytics.
You can access the use case library anytime here. Be sure to check back on it, since we’ll be adding a lot more in the coming months.
What are our favorite AI use cases for marketplace brands?
Let’s highlight, for a moment, some of our personal favorite prompts to ask your AI agent.
Our favorite use cases focus on bridging strategies across channels. What is working on one channel that you haven’t yet applied to another?
For instance, ask your AI agent:
Which high-performing keywords on Amazon am I not yet targeting on Walmart?
This way, you’ll be sure your most effective tactics are not getting lost in the shuffle of managing multiple marketplaces at once.
You can also ask the opposite question, of course, to identify potential problem areas:
Which low-performing keywords on Amazon am I still targeting on Walmart?
And because Intentwise’s MCP brings in data from Amazon, Walmart, TikTok, Shopify, Google, and more, you can ask this same question—and, really, any spinoff involving multi-channel performance—across every marketplace where you sell.
The next is not a cross-channel question, but a cross-data-set question. We love asking AI agent:
Find me all of my advertised products with less than 7 days of cover on Amazon and Walmart.
You see the biggest efficiency gains from your AI agent when you ask questions like this, which require pulling from disparate data sets—in this case, ads and retail data.
In your software or BI platform, answering this question probably takes a few minutes of clicking around.
Your AI agent can figure it out for you right away, and help rescue you from a potential stockout.
You might also ask your AI agent cross-cutting questions across your AMC data, like:
Find me the 5 ASINs that have seen the biggest increase in NTB rate in the last 12 months.
Or, of course:
Find me the 5 ASINs that have seen the biggest rate drop in NTB rate in the last 12 months.
We also are really excited about the use cases with Subscribe & Save, which we wrote about in our new whitepaper. Download it for free today if you haven’t already.
With your AI agent, you can ask questions like:
Which of my ASINs have the longest Subscribe & Save subscriber retention?
Or:
Why did my subscriber revenue on Brand Y drop in the last 6 months?
How do you decide which MCP is right for you?
The questions you can ask are limitless—but the speed and sophistication of the answers that Claude, Copilot, or ChatGPT give back depends a lot on how good of a MCP you use.
You want to be sure your AI agent can truly reason through your queries. Even if you don’t have a specific data field for “days of cover,” will your AI agent be able to work through what that means, and calculate it, when you use industry jargon like this in your prompt?
Intentwise’s AI Gateway MCP is so sophisticated because we not only connect disparate data sets, using our proprietary data model, but we also add a knowledge layer that gives your AI agent deep context about the business—and how to work through analytics questions.
And further, our MCP has built-in self-improvement checks, so every time an Intentwise customer asks a new question, our MCP is able to help your AI agent answer it more quickly next time.