The Top 100 Most Used AI Apps in 2025

"So 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 in 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 SimilarWeb and SensorTower as 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 captures usage, not revenue. So 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."

"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%. Which, as a point of comparison, is very strong. Extremely striking."

"And now when we look at these 11 all-stars, more than half of them are actually hosting or using other people's models or are model aggregators. Right. And 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."

"And 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."

"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 Civit AI, where, you know, you have these communities where people are hosting tons of models or LORAs or datasets. They're commenting on them. They're ranking them. They're spitting up many apps that you can only access on that website."

"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. Yeah, 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."

""I think one really interesting thing that people sometimes don't realize about more of these professional-ish use cases, you know, financial modeling, like you mentioned, or coming up with a presentation or, you know, doing a formal pitch or doc or whatever, is all of the evolution that we're seeing on the foundation model side, like, you know, Grok4, the new version of Claude, GPT-5, like, those aren't just sort of in their bubble on the side and then the app layer is separate. A 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 prosumer accuracy is important space.""

""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.""

""I think there's been a lot of people wondering when are we going to see the first big AI native social platform. Yes. Which some could argue is now Facebook, which has largely been taken over by Boomer AI images, but I personally think there's going to be at least one, probably multiple separate ones. And honestly, Grok is sort of kind 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. Chat2PT for today, but probably deserve to exist in separate products that will hopefully make the list in the future.""

"The web list, I think, is the best way to track changes over 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 mobile lists, it was just a wave of companies that were direct copycats of ChatGPT. All the companies were like ChatGTP or Chat and Ask AI. ChatGBT was a big one. Exactly. Yes. And so those were dominating the mobile list. So this time we had a lot of new companies on mobile as iOS ecosystem has cracked down on that."

"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 ChatGPT. It has just about 10% of ChatGPT's traffic on web. But it's much closer on mobile. It's like half of ChatGPT's traffic on the mobile app, which is interesting. It's mostly Android users, which I think you would expect."

"We're probably all seeing the tweets from various vibe coding companies that are like, we went zero to 100 million or even more in ARR in a really short period of time. They have millions of users, kind of faster growth than I think we've seen in many other categories in a very long time."

"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 ChatGBT 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."

What methodology does the Consumer AI Top 100 list use to rank AI products?

The Consumer AI Top 100 list is compiled biannually by collecting comprehensive data on every website and mobile app globally, focusing on AI-native products. Ranking is based on actual usage metrics: for websites, monthly global visits, and for mobile apps, monthly active users. Data sources include SimilarWeb for websites and SensorTower for mobile apps. The top 50 from each platform are selected based on usage in descending order, including both paid and free users. This methodology emphasizes real consumer activity as opposed to financial metrics like revenue, providing a grounded view of consumer adoption.

How has the composition of mobile AI apps evolved over recent rankings?

Earlier editions of the mobile AI rankings were dominated by direct copycats of ChatGPT, such as apps named ChatGBT and Chat and Ask AI, which proliferated rapidly. However, due to ongoing app store policy enforcement (particularly by Apple iOS), many clone apps have been pushed out or prevented from being listed. This crackdown has resulted in a more stable and innovative ecosystem, with newer, original companies like Bolt, Lovable, and Replit breaking into the top 50. The mobile AI space remains more volatile than web, reflecting regulatory influence on product diversity and market stability.

What notable new entrants are present on the Google AI product front in the Top 100 list?

For the first time, Google’s AI presence in the Top 100 list has expanded, with four unique properties making the web list. Gemini, Google’s AI model, ranks number two behind ChatGPT and captures about 10% of chatbot web traffic and nearly half on mobile, mainly Android users. Google Labs serves as a consumer-facing sandbox featuring the VO3 video model, which accounts for much consumer engagement. AI Studio is a developer-facing sandbox sandbox for testing and building Google models. Additionally, Notebook LM ranks #13 as a notable AI product in the listing. These reflect Google’s broader push into consumer-accessible and developer-focused AI tools.

Why do Chinese AI companies show up differently in the Consumer AI Top 100 list compared to Western companies?

Chinese AI companies are segmented into three broad categories on the list: pure domestic AI products built for China’s market due to bans on foreign AI products like ChatGPT and Claude, Chinese startups built in China but targeting global users, and Chinese products used both domestically and internationally. Regulatory restrictions in China prevent most Western AI products from operating freely, causing local alternatives to emerge. Some export-oriented Chinese startups cannot be accessed within China, showing a split in deployment and user base. This segmentation is driven largely by compliance with Chinese regulations on data and privacy, and reflects the geopolitical and policy environments shaping AI markets.