Sentiment analysis

But it is equally important to understand how is AI mentioned in your brand.

Is it saying good things or is it saying bad things about your products or services?

That's the reason we've launched, sentiment analysis.

Let me show you how it works.

So we have here a prompt.

Which running series provide the best caching in for road running.

And here you have the sentiment that Nike had over the, over the past few days based on the responses that we monitor, at Omnia.

So sentiment, is getting better.

We have 91%.

We are number three, in terms of sentiment.

Hoka and Asics are on the lead here.

and let's deep dive into it.

so for Nike, when we ask about this prompt, it's like most mentions, they mention responsiveness very positively, cashing in as well, versatility, things like this.

But if we scroll down a little bit, we see here a problem.

Right?

Like weight seems to be a problem.

Let's figure it out.

So in this case, AI is recommending Nike Vomero 18.

And yeah, it's saying that these shoes are slightly heavier.

So that's probably not what you want to see when you're trying to figure out which running shoes provide the best caching in for road, running.

Running.

Right?

So maybe this is something that you want to go to Irun for and talk to them so you can fix what AI is saying about you.

And you know, there will be more examples, on these ones, while heavily caching, it is noted for being bulkier and less stable than other trainers.

Right.

So probably something else that you might want to, that you might want to work on on your stability and weight problems.

Right?

So you can see this at the prompt level.

You can see basically also where your competitors are stronger than you, where they are weaker than you.

For example, Brooks, they also seem to have a problem with weight.

While Hoka, it's doing pretty good, for most of their attributes.

there is also one thing that is really interesting.

You can go to the home page, you can go into sentiment.

Remember in the homepage we show you the data for all the prompts that you're monitoring.

And here you can see as a brand what are the key messages where you should be focusing on.

Right?

So for example, yeah, again weight seems to be a problem.

Right?

So a lot of negative mentions and neutral mentions.

Value for money seems to be also a weak point for Nike.

So this can give you some hints on how you should, work on your positioning as a brand.

The last thing that I wanted to mention that is really interesting, we can turn here into features and, basically Omni is going to tell us what are the things that AI is considering most important for all the prompts that we're monitoring.

So, for example, cushioning seems to be super important.

And this can influence our, prompting strategy, right?

Like, maybe we should be monitoring prompts about cushioning, about durability, if we are not.

If we are not doing that already.

So an action I would take here if I was Nike.

I would go and I would add, a few prompts to monitor, like, what are the best running shoes, for running a marathon, in terms of caching in or in terms of durability.

Or things like this.

So we close a little bit the loop based on the information that we get from the AI answers.

We start monitoring those.

Then, Omnia Insights will tell you how you get better at those.

And then you get into this virtual circle where you start improving not only the number of times that you appear, but how, you make sure that AI mentions your brand attributes positively.

I hope you have fun, playing with, with this.

And as always, like, let me know if there are, questions.

Bye.