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The Top 100 Most Used AI Apps in 2025

What are real consumers actually doing with AI today? In this episode, a16z partners Olivia Moore and Justine Moore break down the fifth edition of our Consumer AI 100, a biannual ranking of the most used AI-native web and mobile products across the globe. Timecodes: 0:00 Introduction 1:45 New Companies & Trends 3:32 Companionship & Creative Tools 4:20 Big Tech on the List: Google’s Impact 6:24 Chinese AI Companies & Global Trends 10:19 Vibecoding: A New Trend 13:40 AI All-Stars: Consistent Top Performers 15:30 Network Effects & Product Experience 17:20 Enterprise Adoption & Prosumer Growth 19:40 Biggest Takeaways 21:09 Grok's debut 22:56 Future predictions 25:14 Closing & Audience Engagement Resources: Find the article here: https://a16z.com/100-gen-ai-apps-5/ Find Olivia on X: https://x.com/omooretweets Find Justine on X: https://x.com/venturetwins Stay Updated: Let us know what you think: https://ratethispodcast.com/a16z Find a16z on Twitter: https://twitter.com/a16z Find a16z on LinkedIn: https://www.linkedin.com/company/a16z Subscribe on your favorite podcast app: https://a16z.simplecast.com/ Follow our host: https://x.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details, please see a16z.com/disclosures.

Justine MoorehostOlivia Moorehost
Aug 26, 202526mWatch on YouTube ↗

At a glance

WHAT IT’S REALLY ABOUT

a16z ranks 2025’s top consumer AI apps and usage trends

  1. The Consumer AI Top 100 ranks AI-native websites by global monthly visits and mobile apps by monthly active users, using Similarweb and SensorTower, capturing total usage rather than revenue.
  2. The list is stabilizing compared to early “chaos” periods, with fewer new entrants (11 new on web vs. 17 prior), and a clearer set of recurring “AI All-Stars.”
  3. Companionship products continue to dominate consumer attention, while “vibecoding” (AI-assisted app/site building) emerges as a major new breakout category with unusually strong early revenue retention.
  4. Big Tech—especially Google—made a major showing as domains became independently measurable, with Gemini near the top and developer/prosumer tools like AI Studio and NotebookLM ranking surprisingly high.
  5. Chinese AI companies appear in multiple modes—China-only ecosystems, export-focused global products, and hybrid global users—shaping global usage patterns, especially in image/video and assistants.

IDEAS WORTH REMEMBERING

5 ideas

The list measures mindshare, not monetization.

By ranking total usage (including free users) rather than revenue, the Top 100 highlights what consumers actually try and return to—often earlier than revenue-based leaderboards.

Consumer AI is shifting from volatility to repeat winners.

New entrants are still arriving, but fewer than before, and the introduction of “AI All-Stars” signals durable products that repeatedly retain attention across multiple six-month cycles.

Companionship remains a dominant use case despite new trends.

Multiple new companionship apps entered (e.g., Juicy Chat, Joy, R Dream) alongside established names (e.g., Character.ai), indicating sustained demand rather than a short-lived fad.

Google’s consumer and developer AI footprint expanded sharply.

Once domains became measurable, four Google properties appeared on the web list; Gemini ranked #2 on web (about 10% of ChatGPT web traffic) and was comparatively stronger on mobile (about half of ChatGPT, largely via Android), while AI Studio and NotebookLM demonstrated surprising staying power.

Chinese AI shows up as three distinct adoption patterns.

China-only assistants (Quark, Doubao, Kimi) rank highly due to population scale and Western product bans; export-oriented products (e.g., DeepSeek, Kling/Hailuo, SeaArt) target global users; and hybrids like Manus show mixed geographic demand (e.g., Brazil and the U.S. prominent).

WORDS WORTH SAVING

5 quotes

the purpose is just to get a sense of what real consumers are actually using in AI.

Olivia Moore

you'll notice that this captures usage, not revenue.

Olivia Moore

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.

Olivia Moore

for many of the leading vibecoding platforms is they actually see 100% or above revenue retention in the first three months

Olivia Moore

My biggest takeaway actually from every version of the list is that as with everything else in consumer, there's so much randomness

Olivia Moore

How the Top 100 is built (Similarweb/SensorTower; web vs mobile metrics)Usage vs revenue as the ranking lensCategory dominance: general assistants, companionship, creative toolsGoogle’s breakout: Gemini, AI Studio, NotebookLM, Google Labs/Veo 3Chinese AI ecosystems: domestic, export, hybrid adoptionVibecoding platforms: Bolt, Lovable, Replit; retention signalsAll-Stars, network effects, and bottoms-up enterprise/prosumer expansion

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