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Home Content Strategies How To Use AI In Content Marketing? Explore Best Tools & Examples
By
Aman Bhati
Everyone’s talking about AI these days. It’s in design, sales, support—and yes, it’s now deeply rooted in marketing. But here’s the thing: not everyone is using it well. Some still rely on old-school methods that worked five years ago. Others are trying to plug in every new tool without a plan. The sweet spot is somewhere in between.
So what’s the real deal with using AI in content marketing? Can it actually help, or is it just another trend with too much hype?
Let’s dig into how AI fits into modern content strategies, which tools are helpful, and what to expect if you’re just getting started.
Content marketing isn’t just writing blog posts and hoping they rank. It’s the whole process—finding ideas, building content, getting it in front of people, and tracking what works. That’s a lot. It used to take entire teams and weeks of planning. Now, AI helps speed things up.
It’s not about replacing people. It’s about removing the repetitive stuff. Need to research 10 blog ideas? AI can help. Want to tweak your content for five platforms? AI can handle the formatting and tone changes. All while you focus on the bigger picture—like telling a story your audience actually cares about.
And it’s not just a theory. The market for AI in content marketing is projected to hit over $100 billion by 2028 (Statista says so). Which is wild, but it also makes sense when you see how much time and energy it saves.
Let’s break it down. Content marketing usually happens in stages. Here’s how AI shows up at each step.
Coming up with content ideas can be time-consuming. AI tools like ChatGPT, Gemini, or Frase let you ask questions and get a list of blog topics, headlines, or common pain points within seconds. You can even ask them to explain something in plain language so you understand it better before writing.
This isn’t a shortcut to avoid thinking—it’s a way to think faster.
Now the real work begins. Or used to. Today, tools like Jasper, Copy.ai, and Writesonic generate first drafts. Are they perfect? Nope. But they’re a solid starting point. You can get a rough version of a blog post, social caption, or even a script for a video.
Then, you add your personality and voice and polish it. AI helps with the heavy lifting, and you come in with the creative finish.
You don’t need to write new content for every channel. AI makes content stretch further. HubSpot’s Content Remix is one example—it lets you take a blog and turn it into social posts, videos, reels, podcast scripts, and more.
Got a long post? AI helps you slice it into smaller pieces: a tweet thread, an Instagram caption, or a quote for LinkedIn.
Duplicate content, more expansive reach.
Most AI scheduling tools now help you figure out when and where to post. Tools look at your past data and suggest the best times based on your audience’s activity. Not only that, but you can automate the whole calendar—blogs, emails, tweets—without toggling between tools.
It’s not about scheduling once and forgetting. It’s about using data to publish smarter.
You hit publish. Then what?
AI analytics tools now give you more than just views and clicks. They point out what’s underperforming. They flag outdated links or suggest edits based on real-time engagement. Tools like MarketMuse even analyze the web to recommend better topics or angles for your next piece.
That feedback loop is gold.
Want to see how it plays out? Here’s how people use AI in real workflows—not just theory.
Let’s be honest—most marketing teams are stretched. AI doesn’t just help. It changes the game. Here’s what you get:
This doesn’t mean “do more with less” in a toxic productivity way. It means focus on better work, not just more work.
AI isn’t perfect. And there’s no shame in admitting that. A few things might cause friction:
The trick? Keep a human in the loop. Use AI for support, not to take over.
We’re just scratching the surface. In the future, AI won’t just help write or plan—it’ll learn your tone, respond to real-time behaviour, and shift content based on who’s looking at it.
Expect more voice content, adaptive visuals, and maybe even AI-generated interactive pieces. The line between content and experience will blur.
But creativity won’t go out of style. No matter how good the tools get, your brand still needs fundamental ideas, unique angles, and an emotional connection.
AI can help—but the heart still wins.
AI isn’t here to replace content marketers. It’s here to support them. It is to make space for better thinking, not just faster output. This will let you spend more time on ideas and less on formatting, posting, or sorting data.
If you’re not sure where to start, pick one task: Automate research. Use AI to schedule posts. Try writing a rough draft with a tool and refining it yourself.
Experiment. Adjust. Learn as you go. That’s how you’ll get the most out of it.
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