The Top 100 Most Used AI Apps in 2025

0:01Today on the podcast, we're joined by A60Z partners, Olivia Moore and Justine Moore, to get the latest consumer AI100. They're by annual ranking of the most used AI native products across web and mobile. They discuss how real users are adopting, what's fading, and where the next wave of opportunities might be. Let's get into it. Hi, I'm Justine and I'm Olivia. And welcome back to the A60Z podcast. Today, we're going to be discussing the consumer AI top 100 list. So Olivia, let's start because you are compiling the list and you've been doing this for a while. What is this list and what's the purpose of it?

0:40So this is our fifth time doing this list. We do it every six months. We started at basically the dawn of the consumer gen AI era. And the purpose is just to get a sense of what real consumers are actually using an AI. As a sample set, we take every website and every mobile app in the entire world. And we sort them in descending order of usage. So for websites, this is monthly visits globally. For mobile apps, this is monthly active users. We use similar web and sensor towers, these two data sources. And then we grab the top 50 from each of those sources that are AI native companies. So you'll notice that this capture is usage, not revenue.

1:17So it's not paid usage only. It's all usage, even people who are using the products for free. which to me gives an even better and I think kind of more real sense of what is capturing consumer imagination in AI. Totally, yeah. I feel like a common question we often get as folks who are consumer investors in AI is what are people doing on AI? What should I see? What should I be doing? That too, yeah. So I feel like these lists are a really helpful way for folks to get a sense of what are some of the use cases, what are some of the properties that are getting really big, getting a lot of users that you might not know about.

1:51and for a lot of people sort of an inspiration list of what they want to try out. Let's talk about the new companies on the list. Yes, because that's always exciting of like, who cracks into the top 50 for Web and the top 50 for mobile who weren't in the list before. Yeah. How do you describe the new companies where their any major changes? Yeah. The Web list, I think, is the best way to track changes over the time. The mobile list is a little bit less stable just because the app stores are constantly updating their policies on what's allowed. For our first couple of mobile lists, It was just a wave of companies that were direct copycats of chat GPT.

2:24I remember that. Yeah. Yes. And all the companies were like chat GTP or chat and ask AI. Chat GBT was a big one. Exactly. And so those were dominating the mobile list. So this time we had a lot of new companies on mobile as iOS ecosystem is cracked down on that. But on the web list, we still did have 11 new names. Sounds like a lot out of 50, but it's actually a big reduction from, I think, of a 17 new names six months ago, which to me reflects the fact that the ecosystem is starting to stabilize a little bit more. There were still a couple of really exciting trends that popped out on this list that I would expect might continue and yield more new names.

3:03Vibes coding was one of them, which I think kind of burst into the forefront at the end of last year. So we saw it a little bit on our prior list in March, but it really kind of came into the forefront now. So we have of both on our brink list, just below the top 50 cutoff. And then we have both lovable and replete on the web list. In the past, a lot of the names on the list have been kind of in one of two categories, which is like general chat and companionship or creative tools, which I love. I spent a bunch of time in both of those categories, but it sounds like we're starting to see things like vibe coding that are sort of outside of those two, what were really the killer use cases of consumer AI for a long time.

3:44We definitely are more in productivity as well, which we'll talk about. I will say companionship continues to just dominate. We actually did have three new companionship names. So juicy chat, joy and our dream, all made the list alongside a bunch of others that have made the list before. So character was the biggest name, janitor, spicy chat, poly buzz, crush on a dot and candy AI. We're all on this list and in the past. So that's a pretty notable section of the list. I think is dominated by companionship names, which is pretty interesting. For sure. There's also a lot of big companies that have products on the list, folks like Google.

4:19Maybe you can talk a little bit about that because I think that's a bit of a surprise. Yeah. Google had a big six months, and I would say especially their models and even their consumer facing products had a really big six months. The way they structured their domains in the past made it hard for us to include Google products on the list since we needed to be able to independently rank their traffic. So now we finally were able to for the first time and four unique Google properties made the web list. So Gemini was number two. It was right behind ChatGbT. It has just about 10 % of ChatGbT's traffic on web, but it's much closer on mobile.

4:54It's like half of ChatGbT's traffic on the mobile app, which is interesting. It's mostly Android users, which I think you would expect. The other big debut for Google was a little more surprising to me. It's actually AI Studio, which is Google's developer -facing sandbox. That's where engineers go when they want to build things and test out Google models. That hit in the top 10 as well. Then right below the top 10 was notebook LM at number 13. I take your wow as a little bit of a surprise, which was a surprise to me too. I think a bit of a narrative violation that they won viral almost a year ago in September of 2024.

5:33but they've actually kept up their traffic every month of flatter increasing traffic. With the exception of this last month of summer, when I think a lot of the academic usage caused it to decline, but just barely. And then one of your favorites also made the list, which was Google Labs, down at number 39. This is kind of the consumer facing sandbox. For Google models, whereas AI studios the developer facing sandbox. Google Labs includes VO3. the amazing new video model that you yourself have probably driven a big portion of the usage. I spent a lot of money on VO3. Yeah, exactly. I've driven many visits for sure.

6:10Yeah, and actually Google Labs includes a bunch of other products like Doppel, which is their kind of outfit trion products. Yes. It includes portrait, which is coaching. And it includes, right? With the image generation kind of sandbox, which is very cool and fun to play with. Exactly. Project Mariner, which is their agetic kind of browser sandbox. Interesting. But my hunch is it's largely VO3 because traffic to that to the Google labs by 15 % in the month that VO3 was released which is really exciting. Let's talk about the Chinese AI companies So both new startups coming out of China also big Chinese companies releasing models or consumer facing properties How are these ranking on the list?

6:51Yeah, and what do you think is driven their growth? I mean you could argue that Chinese companies show up in two or even three pretty interesting ways on the list I would say the first one are companies or AI products that are built for China and used in China. And you might say why? And it's because a lot of non -Chinese AI products like ChatchyBT and Claude are banned in China because they have to follow specific regulations and policies and data capture rules that they're not wanting to or able to do if they're going to operate in China. So China doesn't have a lot of those products that we have, but they have their own.

7:25So a couple of companies that made the list are Cork, which is Alibaba's AI assistant on both web and mobile DowBow, which is bite dances AI assistant also on both web and mobile and then Kimi, which is another general AI assistant from Moonshot AI Each of those ranks actually all of them in the top 20 on web Wow, and there are majority usage in China Which I think reflects the fact that like China is the biggest country in the world by populations So even if they're only used one place, they're getting a lot of usage. And they don't have as much competition from the American general tradisistence that can't be in the country.

8:02Yes, like the Chachibitis of the world. The second category of Chinese companies we're seeing are startups that are developed in or around China, but are built for the rest of the world. And you can't actually even use them in China in many cases. So these are products like DeepSeek or the video models like Hylo and Kling, or products like SeaArt for images. I would say the concentration of these is especially strong in image and video, which is a space that you know well. Yeah, I think image and video, we've seen a lot of great video models from China, particularly when it comes to animating from a single frame from an image.

8:38Bite dance has also been doing a lot more around things like seed ants, which is a really great video model. They release that actually outscores a deal three on some of the arenas. One of the really interesting things that I know we can't disentangle in this data, but I think a lot of Chinese companies have taken the strategy in the US of distributing their models through US properties. So there's companies like Kriya or Kidra that host various models and have subscriptions where you can access a bunch of the Chinese models at once, whether it's the closed ones, like Kling or Mini Max or some of the open source ones, like Juan or Quen, which a lot of people are using and really liking.

9:16Some of them will also have their own consumer facing properties. Others will distribute through either the application layer or honestly through folks like Fall and replicate more of the developer facing platforms where you can do one -off runs or you can have an API to use them in your application. That is probably yet another way that Chinese companies are showing up in the list. Yeah. No way, as you said, that's not measurable right now. But the last trend that we were seeing with Chinese companies was products that are developed in China and use both in China and abroad. So, Manus is a great example.

9:48They just announced a 90 million annualized run rate. And if you look at their traffic, it's number one Brazil, number two US. Brazil surprises me. Yes. A lot of AI traffic comes from Brazil. More free traffic than pay traffic. I was going to say yes. But a lot of traffic. So we're seeing both kind of like this domestic AI ecosystem in China, start to mature. I think for the very first time on this version of the list. Right. And then we're seeing the same thing we've seen on other versions of the list, which is Chinese companies exporting their AI products abroad. And then to talk about another big trend, which you touched on earlier, vibe coding, we're probably all seeing the tweets from various vibe coding companies that are like, we went zero to a hundred million or even more in ARR in a really short period of time.

10:29They have millions of users kind of faster growth. And I think we've seen in many other categories in a very long time. I'm curious, how did you see that kind of reflected on the list and how did that change since the last edition? Yeah, so six months ago it was just Bolt on the list. Now Bolt actually is on the Brink list and lovable and replete both made it onto the main list. To me, I was particularly interested to look at not just traffic for these, but also revenue and retention. So, lovable recently announced $100 million in ARR. But it's always easy to say, especially for consumer properties.

11:02Like, yeah, a lot of people are maybe signing up for a trial. But they're canceling, they're not going to stay on retention is low. We actually also, for the vibe coding products, looked at revenue retention across another data provider, consumer edge. So that looks at a cohort of everyone who signs up in month zero. How much are they paying and what percent are still paying in month one, month two, month three? And we put some of this in the report, but what we found for many of the leading vibe coding platforms is they actually see 100 % or above revenue retention in the first three months and then maybe flatten out a bit below 100%.

11:37which at the point of comparison is very strong. So we strongly see for, I mean, it's very rare to see any sort of, especially consumer or pro -sumer, might suggest that there is some enterprise usage happening there with prototyping and stuff within companies. Enterprise usage, or even just solo vibe coders people building projects who do get a low cost plan to try it out. Yeah. And then find themselves actually publishing and using something and buying more credits and upgrading to the next plan, which is exciting. It's interesting though on that point for both lovable and replete. We can independently see traffic to the sites where you vibe code things.

12:14So that's where like you were, I would go. Because they're hosted on their host. Yeah, so you can see traffic for everything people are making with lovable and replete. And then separately traffic to lovable and replete, which are the people making things. And in both cases, the people making things traffic is much higher than the traffic to the things that they are making. which suggests one of two things. One, it could be that people who are making serious, high traffic websites are buying domains for them. I cut some domains so they no longer pop up under the lovable or the replic domain in this data.

12:48So their traffic would not get included? Yeah. Or it could be the case that people are building almost personal software, software for themselves with these vibe coding platforms. Yeah. So they might publish them and not get a lot of hits, but they're extremely valuable to the individual user or maybe the user's family and friends. And I'm curious, have we seen anything yet in bag coding coming to mobile? Like are there not yet? Interesting. There's a couple companies startups that we've seen, but none of them rank tie enough to get a spot on this list this time. Yeah, we'll be super interesting to see the next edition of the list.

13:19I mean, for sure. If any of those start popping up in the top 50, it's hard to displace the companionship and the AI girlfriend ones for sure, but maybe a vibe coding one can do it. Yes, no, it's actually a good point because we did on the point of displacement for the first time we ranked what I'm calling our AI All Stars. So this is across five lists. What are the companies that have made the list every single time? Which is hard to do because this dates back two years now. So there's 14 of these companies. So we have Chachi, BT, not a surprise, perplexity and Poe all made the list in what I call kind of general LLM assistance.

13:56Right. Then we have character AI in companionship. Yeah. They've made it on both Web and mobile. We've got mid -journey, photo room, Leonardo, cut out pro, Vide and 11 labs in creative tools. We have Quillbot and Gamma in productivity and then we have Hugging Face and Sivide AI in model hosting. And so those have made the web list for every single one. Web list for every single guy. Every all five of the versions we've done of this now. It was funny looking back at the very first list because I think we Had this question of is it only going to be companies that invest tens of millions of dollars into proprietary models Right that are able to hold consumer attention But now when we look at these 11 all stars more than half of them are actually Hosting or using other people's models or our model aggregators, right?

14:46And so I think that speaks to the fact that in consumer AI the UI and the product experience matters just as much as the model, especially when so many amazing models are now API available or open source. If you think of some of those properties too, some of them have built really deep and interesting workflows around creating content, even if they don't have their own model. Some of them are also starting to see what I would say are sort of the first kind of non -data network effects in AI, especially things like hugging face and cividei where you have these communities where people are hosting tons of models or Lora's word data sets.

15:23They're commenting on them, they're ranking them, they're spitting up many apps that you can only access on that website. So it's pretty cool to see both of those kind of make the list over and over again and show that you can maybe have network effects in AI. Yeah, I think you could argue to 11 labs is the same where people can publish their voices. Hold on 11 for other people to use. The voice libraries, I hear that all the time from people that one of the reasons they love using 11 is there's thousands and thousands of voices as you can choose from. And that's because so many folks have uploaded voices to the voice library.

15:54You could even argue the same is true for a ChashiBT or mid -journey, where the more user data they had, the better models they can train, which then makes the product better and attracts more users and it's a whole virtuous cycle. Yeah. I think that is the natural assumed network effect for AI, which is kind of more users, more data, more feedback, better models. But I know a lot of folks are wondering like, where are the network effects beyond that, which is why I was particularly interested in the hugging faces, seven AI's of the world, things like the 11 voice library. Yeah. We're even starting to see in some cases, Gamma is a good example of this on the list.

16:2711 is another good example, same with photo room. These consumer AI properties are almost graduating to enterprise usage with things like team plans, templating design libraries, and then it becomes something that can spread organically through a team and that a whole organization can benefit from. And the more you invest into building out, say your templated slide deck on gamma, the harder it is to kind of turn and move over to another platform. So yeah, I think that's one thing that a lot of people didn't expect with a lot of these, especially creative tools or productivity tools that I try to tell founders all the time.

17:01It's like there's so many AI enthusiasts now, some are tourists, but some have real use cases. And often with companies like 11, we will see one individual signed up. They try it out, they see if they like it or not. And then that individual actually becomes like their own self -serve enterprise sale. Like they bring it into their company, they make the case for it, and then it's so easy for, and then they go to the business and they're like, hey, we actually have 10 or 15 or 20 users on individual plans. Like we should have some sort of enterprise level contract here, which makes it a lot easier for these AI companies to grow than the traditional top -down sales that enterprise software had to do, where you had to go in and get approval from 10 different people and then convince the employees to use the products versus this bottoms -up adoption that we're seeing with a lot of these freemium AI products that start in consumer, feels very cool and unique.

17:55Yeah, and that in turn supports more consumer growth because then someone on a team will adopt it because their other team member had it and then they'll bring it home and use it for a project and spread to their friends and their kids and yeah, I expect we'll continue to see more pro -sumer or enterprise representation on this consumer AI list. So this, as you've mentioned, is the fifth edition of the list. I'm curious, reflecting back on all of the past editions, what are your biggest takeaways and do you have any hot takes or predictions for what we're going to see in the next few lists? Yeah, I would say looking at the list now and then looking back, I really can appreciate now that the first list or two was Total Chaos.

18:34And this is some half the list was new every time, if not more. And the traffic was fluctuating so wildly. And there's often, you know, like a two week to one month delay between when the data happens and when we get it through the data sources. And so founders would be contacting us angry like, Hey, I'm actually ahead of this other property now. I should be number two instead of number five, just because the data sources had a little bit of a lag and things were so volatile back then. Things were changing so rapidly. I would say that as you said, companionship and general all along the systems.

19:07Yeah, like ChatchyBT and then creative tools were kind of the three categories that were working two years ago And anything else that popped up on the list in many cases was pretty random and would spike one month and be gone the next month Right, I would say we've had a lot of stabilization since then by the third edition of the list We started seeing things that weren't just image and text. Yeah, we started seeing video We started seeing music which was really exciting The fourth and fifth editions of the list, we still have some breakouts, but we're also starting to see the list kind of normalized.

19:42I would say 11 new on the web for this time versus 17 last time. Yes, exactly. So even list over list. And there's fewer newcomers. There's a clear list of all stars. And the newcomers that we are seeing are kind of clustered around many of the same themes, like vibe coding and companionship on this edition of the list. I'm kind of bought into this all -stars concept now. Like we should maybe make jerseys for it or something. I know. And I'm very proud of them. I hope that they are proud of themselves. Yes. And I hope that they're rooting for themselves for me. We should send them like trophies or something.

20:15We should. We have to we should. I would say when I'm looking for the next five lists, there's a couple things that I have top of mind. Yeah. Our partner, Anish wrote an article about how AI products are kind of verticalizing, even within these general products. Like you'll go use Gemini for one thing and Claude for one thing and Chatchy. to be T for another thing, perplexity for another thing. I would expect that to continue. We're not seeing that this is necessarily a race that chat GBT is running away with, especially on mobile. People have lots of different use cases. GROC, we didn't talk about GROC yet, but they had a big debut on both the web and the mobile list this time around, which is super exciting.

20:52They popped up near the end of the period. Exactly. In terms of when GROC for the companions and the image and video, I imagine is what drove a lot of the growth in the GROC app. Exactly. Yeah. And GROC debuted actually in the top five at number four on the web list, which is pretty surprising. On the web list. Yeah, which is pretty surprising. That's incredible. We also saw meta AI start to make a little bit of a dent this time around, not on the mobile list, but on the web list as well. They have a web I should look into this. Exactly. So we're still seeing, I think, things heat up, even in this space where you might guess that Chachubit is kind of run away with it.

21:27For sure. I would say the other thing I'm expecting to see in the next two lists in particular. On the other end of the spectrum from creative tools where hallucinations are the feature, there's productivity, prosumer tools, where hallucinations are a real problem. So these are things that can make spreadsheets, slide decks for you, build financial models, answer emails. We're finally seeing both model reliability and workflow and UI, get to a point where these products are exploding in revenue, and I think they're gonna explode in usage as well. For sure. So I'm excited to see more in the prosumer product category on the next version of the list.

22:04Manus made it this time. Yeah. Proplexity comment as its own domain. I would expect might make it. Jen Spark is another one that I might expect to see on future versions of the list. I think one really interesting thing that people sometimes don't realize about more of these professional issues cases, you know, financial modeling. Like you mentioned or coming up with a presentation or you know doing a formal picture, doc, or whatever is all of the evolution that we're seeing on the foundation model side, like, you know, GROC4, the new version of Clawed, GPD 5, like those aren't just sort of in their bubble on the side and then the app layer is separate.

22:39A lot of these applications are powered by all of those models. So as those models get better at things like math and logic and reasoning, they have less issues with hallucinations. Like that naturally supercharges all of these products that are in the kind of productivity, pro -sumer accuracy is important space. Exactly. And I imagine we'll reach a point where it tips them over from like, oh, this was cool, but it was inaccurate too much of the time, so I can't really use it to like, oh, this is now good enough that like, it can do a lot of stuff for me and I am willing to use it. Yeah. I think that's a great example, even things like GBT -5 release being very good at consumer health questions.

23:19Yes. We might expect to see a wave of new and more reliable consumer health products on a web or mobile on the next version of the list. Yeah, I was thinking about what categories we didn't see a lot of that we might expect to see in the future. Yeah, more ed tech, I think. For sure, because ed tech is another one where it's important to not have a ton of hallucinations. Personal finance is one where we haven't seen a lot on either web or mobile, but I expect to see a bunch more on mobile since it's such a big category there. Social? Yeah, I think there's been a lot of people wondering when are we going to see the first big AI native social platforms, which some could argue is now Facebook, which has largely been taken over by Boomer AI images.

23:54But I personally think there's gonna be at least one, probably multiple separate ones. And honestly, Grock is sort of making a case there and being a social platform. I think health is a great example, a great category. Or some of these more structured coaching therapy, wellness types of things that I think a lot of people use chat to PT for today, but probably deserve to exist in separate products that will hopefully make the list in the future. Yeah, I agree. My biggest takeaway actually from every version of the list is that as with everything else in consumer, there's so much randomness and if we were able to perfectly predict the next great consumer product, there'd be hundreds of people out there building it.