How to Use AI to Maximize Your Content Marketing Efforts: 9 Use Cases
Apart from writing content, what are some other ways you can use AI to make the most of content marketing?
I’ve found that when it comes to AI, “you don’t know what you don’t know”, as in, many marketers aren’t aware of many use cases for AI until someone tells them. We’re all still exploring the best way to use AI to optimize your content productivity and SEO efforts.
This is especially true as a content marketing agency. Our clients don’t have the time, energy or mental space to explore every new tool: that’s our job, so they feel comfortable knowing that they don’t have to worry about increasing content marketing productivity and efficiency via AI.
In this article, I wanted to share a few tools and use cases we’ve found work well to get the most out of content marketing that are more than just “summarise an article”, “testing different titles” or “generating social posts”. I want to explore what are some other uses that you may not have heard of yet and aren’t as obvious.
If you’re new to Mint Studios, here’s a quick recap: we don’t “just” write, we’re also a growth agency. Specifically, we help fintech companies rank on Google and generate and influence leads with content. We’ve helped financial services clients like Yapily, Primer, Jeeves and Persona turn content marketing and SEO into an acquisition channel. Read more here: What is BOFU (Bottom of the Funnel) Content and Why Is it Important?.
Onto the use cases:
1. Build a custom GPT / Claude Project trained on your company’s Tone of Voice and style
One of the first things we did at the beginning of 2025 was set up a custom GPT for every one of our clients and share it with them.
Each GPT has knowledge files, which include:
Their scraped website in a JSON file (only public information)
Their style guide
Any notes on how to spell certain words, etc
Any interviews or content that doesn’t include confidential information
The main goal of this is to ensure consistency across all content. So whenever we create a new article, we’ll put it through the custom GPT and ask it “what are some ways this can be improved?”, “does this adhere to the style guide?”.
If you create one for your own company, you can also ask your custom GPT to:
Suggest internal links
Suggest graphics
Suggest public customer quotes/testimonials to insert and where
And whenever you get new product, tone, or style insights, you can add this additional information to your custom GPT.
We’ve found that for longer articles, Claude tends to be better. ChatGPT can also work well if you go section by section.
2. Use NotebookLM to get a better understanding of a product
As a financial services marketer, you’re constantly learning about new complex product features and handling new jargon. When a writer doesn't fully understand a new concept, it shows in their content. Which is why it’s so important that you or your writer truly understand the product in order to create content written at the right level.
AI can help you get to the crux of what it is you don’t understand a lot more quickly. The best way we’ve found to do this is to add product information (make sure it’s not confidential) to a tool like NotebookLM or the Custom GPT you already built trained on your Tone of Voice, and then ask the tool questions to get a better understanding of the product features and benefits, how they compare to competitors and how they solve a customer’s pain points.
It can help pick up on nuances only experts would know, and by asking how a certain product can help these managers specifically, it can help you get even more specific insights. However, it’s still important to have a strong understanding of the product to make sure it’s not just hallucinating and sharing incorrect information.
3. Feed information to ChatGPT and come up with better content ideas
Coming up with keyword and content ideas will always remain partially an art, since it really requires deep empathy to understand customer pain points. We’ve written in detail our approach to coming up with content ideas in this article: How to Do Research for Bottom of the Funnel Content Marketing.
Our process usually involves interviewing salespeople and product people, watching demos or sales calls and doing some keyword research. We nearly always re-listen to the interview recordings and listen carefully to how salespeople answer questions like “What type of prospects are easy to close?” or “Why would a company pick you over a competitor?”.
Today, we still do it the “manual” way because the human mind picks up on things that an AI tool may ignore. But there are many ways you can amplify this process with AI:
You can feed certain interviews into an AI tool (as long as there’s nothing confidential), then give it a prompt to imagine it is the target customer and share what it would be searching for online.
Give it content ideas and ask it to generate more in the same vein
Use tools like WriteSonic that will analyse your website / other websites and generate content ideas
There are never-ending iterations of this. Eric Doty, Content Lead at Dock, shared in the Superpath Slack community a wonderful use case for this:
“Joined a free Slack community where one of our ICPs lives. Copy-pasted all the Slack threads from the past 90 days into a text file. Imported that into ChatGPT (the custom one I've built for Dock content) and asked for the most popular discussion themes, questions, concerns, etc. That got me a nice summary. And then asked it how we could adapt our product's messaging to match those concerns, etc. Kind of sad to admit how much I learned from this”
For you, this may be a Whatsapp group, a Reddit group, LinkedIn, or even a scraped JSON file of all the content your company has already published. Wherever there is content or additional information on your ideal customers, an AI tool can help you generate content ideas.
4. Speed up formatting and uploading articles
Anyone who’s regularly uploading content to a CMS knows how long it can take. It may just be 30 minutes, but doing that 3 - 4 times per month can really add up.
With an AI tool, you can ask it to turn the text into HTML (or a different coding language), and it’ll automatically include any bolding, links, or formatting you want included.
Our content strategist, Elliot McGuire, uses AI for this. Here’s how he does it:
“If you’re working on Google Docs, pasting your entire document into an LLM and asking it to format in HTML is a recipe for a headache. It won’t know where your H2 or H3s are, and will likely cause more hassle than it’s worth.
Instead, I use a Google Docs extension called ‘Docs to Markdown’. This converts my document into HTML (as well as Markdown, if needed). However, it adds a lot of unnecessary tags that I would need to clean up on the CMS.
To save time, I’ll paste this into an LLM (I prefer Claude) and ask it to clean up the HTML for me.
You can then ask it to add new formatting. For example, I like using jump links in my table of contents.
The prompt:
“Clean up any unnecessary tags on this HTML. Do not edit the content or add any additional content. Add jump links between the table of contents and the matching H2s.”
You can also use it to create tables, finally! If you want to match the style of your existing tables, simply send the HTML of an older blog, and ask AI to “match the style of your new table with the old one”.
5. Optimise existing articles for search
One of the key steps of optimising an article for Google is making sure certain keywords are included in the article. For example, if you’re trying to rank for “types of payment methods”, you’ll need to add secondary keywords like “alternative payment methods” “online payment methods” and “list of payment methods”.
We use a tool called Clearscope that gives us a list of keywords to add to ensure we’re including all the right ones. Done manually, this takes a while: you have to have your list in hand, and then comb through the article and see where the keyword naturally fits in. Considering the article's context and relevance for each keyword, manually inserting keywords is hard and time consuming because you have to be certain it’s relevant for the reader.
A faster way to do this is to use Claude (for some reason, ChatGPT seems to keep messing this up).
It’s straightforward: give Claude a list of the keywords, the copy pasted article, and ask it to implement the keywords in a way that makes sense.
It’s still highly recommended to consider each keyword placement carefully to make sure it makes sense for your readers and ICPs and you should definitely read through the article before publishing, but it definitely speeds things up.
6. Create micro-tools to save time and get new ideas
This depends a lot on your day to day and context, so all we can share here is what others have built. For example, we created MintBOT: it’s a tool where you add your website URL, a bit of information about your company, and it spits out BOFU content ideas. It’s a good way for marketers new to BOFU content to get an idea of what it looks like in practice. We’re also creating one for LinkedIn, and there are a few others in the works.
One way to approach micro-tools is: think of every small activity you do every day and ask yourself:
How could AI improve it?
What information do you wish you could see?
What manual task do you wish you could replace?
What insights do you wish you had better access to?
Sean Blanda is a good example of a content marketer who’s built a few of his own tools to help him with his everyday work:
7. Improve your writing with specific prompts
We never use AI to write a full article. The quality is not high enough, and it takes just as long to edit an AI article than to create a brand new, high-quality piece. This is especially true in a complex sector like payments, compliance, identity verification, and pretty much any sector within financial services.
However, there are a few prompts we’ve found that can help make an article 10% better. Here are some that you can try:
When writing for an audience you may not be so familiar with, ask the AI tool to give some examples or scenarios that paint a picture of how your product or feature works in action. This helps you get in the mind of the reader, and you can use the examples if they make sense.
Ask it to improve the flow of a passage or of a sentence.
Ask it to create transitional phrases to bridge ideas or to tweak existing transitions to make the passage from one section to the next more fluid (this doesn’t always work, it’s always important to review it as a human as well).
Ask it for ideas to make the content even better (e.g. graphics, etc)
Get yourself out of writer's block—asking a few simple questions about what you're stuck on can help spark ideas (not necessarily ideas from the AI but yours).
8. Extract more insights from experts
If you are in B2B, the best marketing strategy is sharing expertise. And yet, the experts are often the busiest people who have no time to create content. This is where AI can help shortcut this. You could:
Send your experts a list of questions. In their own time, the expert responds with a voice note. You can then take that voice note and use AI to flesh it out or to help you create the structure for a piece of content.
Train an AI tool on your content (like the Custom GPT mentioned above), and then use a tool like ElevenLabs to ask the expert those conversations and record the call in their own time. With the recording, you can now go ahead and create the content (we haven’t tested this process yet, it’s more of an idea).
You have to be careful that using AI to extract insights means you may miss out on a lot of the expertise from experts. AI still doesn’t ask the difficult, complex questions necessary to create a piece of content that is truly expert-based. But it could help you create shorter form pieces of content, or content that is about a less complex topic.
9. See your graphic ideas come to life
This is useful whether or not you have graphic design resources. If you don’t, a tool like Napkin.ai can help you create basic designs with just a few prompts. Pretty game changing if you need graphics and they add a lot to your content.
If you do have graphic design resources, AI can help you communicate better what you’re looking for. ChatGPT’s recently launched image generation is a good example: you could draw the graphic you’re thinking on a piece of paper, then ask ChatGPT to turn it into a graphic. Or you could directly ask ChatGPT to create the graphic. Your designer can then do the last 10% to ensure it’s according to brand guidelines.
Use AI to take things to your content marketing to the next level
AI is taking a larger and larger role in our everyday work. It’s a blessing and a curse. It means a lot of certain skills are no longer needed, but it also means we can spend more time doing the work that only we can do: strategy, empathy and high-quality work. I think it’s important to be constantly experimenting with AI to see how much more you can do, and every week at Mint Studios we dedicate some time to pushing the boundaries with AI.
These are just the first 9 use cases we’ve found so far that we are actively using (and we’ll probably have found more by the time you read this), but I hope they provide inspiration on your own AI journey.
Thanks to our amazing strategists Elliot McGuire and Michelle Maiellaro for adding their own thoughts and experience with AI!