Eugene Levin

But we actually sell across the board.

We have more than 30% of Fortune 500 companies.

And we...

have at least 5,000 existing accounts who are companies with more than 500 employees.

So those segments, this 500-plus employee segment, behaves totally different compared to the rest of the user base.

So we want to start kind of showing metrics a little bit differently so people can see how SMB business behaves and how enterprise business behaves.

So in terms of messaging, like I said, people don't want to buy tools.

In general, people want to buy solutions to their problems.

So that's why we've changed messaging a little bit.

talking less about what we sell and showing more.

So there are more visual components on this page if you scroll down that actually provide more of a screenshot of functionality so people get the idea.

And then, of course, everyone is adding a lot of AI features.

We've been adding a lot of AI features probably before other people have been using GPT since version 2 in production environment in our writing assistant products.

But for me, it's kind of like a new iteration of technology that is available for people to build things, kind of like cloud computing was back in the day.

And for some applications, it makes perfect sense.

For some applications, it doesn't make sense.

So what we're telling our R&D teams right now when it comes to AI, look at actual customer problems that can be solved better with AI.

And there are tons of them.

So for example, we've launched reply to review feature in our local listings product so small businesses can put their communications on autopilot, and if they have

bad review, someone instantly replies on their behalf and tries to make things right for a customer and it's all done by AI.