Why you need to know what your customers feel with AI?

AI Content: Revolutionary Tool or Overhyped Trend?

KC here, and boy, do I have a story for you today. Grab your favorite beverage, get comfy, and let's chat about the AI elephant in the room.

AI Content: Revolutionary Tool or Overhyped Trend?

So, I was knee-deep in research the other day (yes, that's what I call scrolling through industry reports at 2 AM), and I stumbled upon some pretty interesting stats about AI in marketing. Get this: a whopping 89% of top companies are using AI in their workflows. And they're seeing a 33% bump in revenue. Not too shabby, right?

But here's where it gets interesting. As I was doing my happy dance about these numbers (judge me all you want, we all have our moments), a thought hit me like a ton of bricks: What if we're all getting a bit too caught up in the AI hype?

Don't get me wrong, I'm as excited about AI as the next person. Heck, I've been geeking out over AI tools like a kid in a candy store. But then I dug a little deeper, and what I found made me pause ⏸️.

Here’s the kicker: if we’re not paying attention to the data and analytics behind our AI efforts, we’re 5 times more likely to make bad decisions. Yep, you read that right. Five. Times.

It got me thinking about all the times I’ve jumped on a marketing bandwagon without really understanding the impact. (Remember when I thought QR codes on billboards were going to change the world? My team still teases me about that one.)

So, what’s the takeaway here? Balance. ⚖️

We need to find that sweet spot between embracing AI and actually measuring its impact. It’s like that time I tried to balance my love for pizza with my need to fit into my jeans. Tricky, but necessary.

Enter: Sentiment Analysis (Bear with me, it’s cooler than it sounds)

Now, I know what you’re thinking. "KC, you promised me interesting ways to analyse sentiments, not another buzzword." But hear me out. Sentiment analysis is like having a superpower that lets you understand how your audience really feels about your content.

Here’s how I’ve been using it:

Gather data from everywhere:

• Social media mentions (yes, even those late-night tweets)

• Customer surveys (pro tip: bribe them with gift cards)

• Online reviews (the good, the bad, and the ugly)

Use some nifty AI tools:

I’ve been playing around with Brand 24, Hootsuite Insights, and Lexalytics. They help me figure out if my audience is loving my content, hating it, or worse – feeling "meh" about it.

Dig deeper:

Here’s a real-life example:

Last month, I noticed a spike in negative sentiment around our how-to guides. Turns out, people found them too technical. We simplified the language, added more visuals, and boom – the positive comments started rolling in.

So, what now?

• Keep creating that AI content. It’s powerful stuff.

• But please, for the love of marketing, track its performance.

• Try out sentiment analysis. Trust me, it’s like having a marketing crystal ball.

• Adjust and improve based on what you learn.

I’ll be honest, this approach has completely changed how I view our marketing efforts. It’s not just about pumping out content anymore; it’s about creating stuff that genuinely resonates with our audience.

I’d love to hear your thoughts on this.

Have you tried sentiment analysis? Are you all-in on AI, or feeling a bit skeptical? Drop a comment below and let’s chat.

And hey, if you found this helpful, consider subscribing to my newsletter. I promise to keep it real, keep it useful, and occasionally slip in a bad marketing pun or two.

Until next time, keep being awesome!

KC

P.S. I’m working on a deep dive into the best sentiment analysis tools out there. If that’s something you’d be interested in, let me know. Your feedback shapes what I write about!