Unlocking ChatGPT’s Full Potential With MarketMuse Questions Data

There’s a better way to do this! Read Using MarketMuse AI to Create Content and watch the accompanying video.

I wrote this post two months ago before MarketMuse had a ChatGPT integration. Now that it’s publicly available, I need to update rewrite this post because so much has changed.

Our announcement of the ChatGPT integration with MarketMuse contains links to a number of assets we’ve created around the topic. This article complements those other resources.

Integrating MarketMuse Questions Data

MarketMuse Questions data can fundamentally direct how you approach a topic, so I suggest you incorporate this into your workflow from the beginning.

Run your focus topic in both Research and Optimize. Research, among other things, gives you the questions data, while Optimize is where the integration with ChatGPT occurs.

After you’ve done your research, you may want to create an outline in Optimize with the help of ChatGPT.

The outline created by ChatGPT, using MarketMuse data, offers a great start. But it’s only the start.

Because an outline sets the direction of an article, you’ll want to spend some time getting this right. There’s a lot you can do and MarketMuse Questions data can help!

Questions Can Influence Your Outline

In virtually every case, you’ll want to incorporate some of the Questions data into your outline. Some questions may be best answered within a section — others may merit a section unto themselves.

Let’s use “growing tomatoes” as an example. You’ll notice that three of the questions all revolve around planting. In fact, “When should tomatoes be planted?” has a monthly search volume of 590.

Take a look at this outline generated by ChatGPT. You’ll notice that there’s no explicit mention of planting dates.

Search Volume and Subheadings

Given the search volume of that question, I’d add a section to this outline using that exact phrase. I’d also be tempted to create a whole article just on that subject, but that’s for another post.

Remember that subheadings add structure to an article by creating a hierarchy of concepts. It’s is also an important queue to search engine — and you’ll make it easier if you employ html tags (h2, h3). So for terms with decent relative search volume, it’s often a good idea to make them a central part of your article by using them as subheading titles.

Use MarketMuse Questions Data to Your Advantage

A quick glance at the outline generated by ChatGPT gives a favorable impression. But first impressions aren’t everything.

When you look at the MarketMuse Questions data, you realize how much is missing from that outline and what you could do to improve it.

• Why should you not plant cucumbers near tomatoes?
• Are coffee grounds good for tomatoes?
• What does baking soda do for tomato plants?
• What is the best homemade fertilizer for tomatoes?
• Are eggshells good for tomatoes?
• At what temperature do tomatoes stop growing?
• What does hydrogen peroxide do for tomato plants?

And the list goes on.

There are literally dozens of questions that you could incorporate into the outline, either as subheadings or as topics to cover. Once you’ve got them in your outline, use the Answer A Question prompt to fill in the details.

Chances are that your competitor isn’t doing this, especially if they’re not using MarketMuse. So using the Questions data gives you yet another way to differentiate your content from the competition.

Takeaways

When reviewing MarketMuse Questions data, those with relatively large search volume are ideal candidates for subheading titles (and sometimes individual posts). Otherwise, look to see what specific section serves as the best match. Sometimes, you can group questions into a particular section — if that part doesn’t exist, that’s more the reason to add that section to your outline.