Olivia Moore Profile picture
Sep 13, 2023 13 tweets 5 min read Read on X
Generative AI has spawned thousands of new products.

But outside of ChatGPT, what are everyday consumers using? What's growing, and what has flattened?

We crunched the numbers to find the top 50 consumer web products by monthly visits - here's our learnings ⬇️ Image
1/ ChatGPT is the 👑, representing 60% of traffic to the ENTIRE list.

But @character_ai is not far behind, with 21% of ChatGPT's traffic.

The rest of the top 10? Bard, @poe_platform, @TheQuillBot, @photoroom_app, @HelloCivitai, @midjourney, @huggingface, @perplexity_ai Image
2/ Compared to mainstream consumer products, even the biggest GenAI products are still fairly small.

Combining Web + app traffic, ChatGPT is around the same scale as Reddit, LinkedIn, and Twitch.

But it's still far below the “giants” (WhatsApp, YouTube, Facebook, etc.). Image
3/ However, it's worth remembering that most GenAI products are very new - they have time to catch up!

Of the top 50 products, 80% didn't exist a year ago.

Nearly half are bootstrapped, and only 5% are part of big tech companies like Google. Image
4/ Another surprise? There's a sizable number of "GPT wrappers" on the list.

The top 50 is split almost evenly between products with:

(1) a proprietary model
(2) a fine-tune of an open source model
(3) a publicly accessible model from a third-party (e.g. GPT-4)
5/ Most products thus far are Web-first, with no mobile app or minimal app traffic.

ChatGPT launched an app in May, but it still represents <2% of the company's traffic.

The exceptions here are @photoroom_app (88% mobile), @character_ai (46%), and @Speechify_audio (20%). Image
6/ Companies that nail the mobile experience have a chance to garner outsized engagement.

Per @SensorTower data, CharacterAI sees an average of 38 sessions per user per month.

As a point of comparison - this exceeds Instagram, FB, and TikTok 🤯 Image
7/ On a category basis, "general assistant" products (ChatGPT, Bard, Poe) represent 70% of traffic.

But, two other categories are inflecting - companionship is now 13%, and content generation is 10%.

Content editing (3.7%) and model hubs (2.3%) round out the top five. Image
8/ Most categories are still "up for grabs" - with the #1 player <2x ahead of the #2.

We're also seeing positive fragmentation, with products gaining steam for specific use cases.

Ex. in image gen, @LeonardoAi_ (for games) is growing alongside Midjourney.
Image
Image
9/ How are companies getting traffic?

It's almost entirely organic. Between Reddit, Discord, newsletters, etc., there's lot of "free" acquisition.

The median product is seeing 99% organic acq, vs. a 52% median for pre-AI consumer subscription products. Image
10/ And, 90% of cos on the list already have some sort of revenue, with the vast majority choosing subscription.

On average, they make $252/yr on the median plan, a significant ⬆️ vs. pre-AI subscriptions (more from @sarahdingwang and @martin_casado):

a16z.com/the-economic-c…
Lastly, a note on methodology.

We added app traffic, but companies qualified based on web visits - so app-only products were not eligible.

For products on Discord, our estimates only capture website visits, artificially deflating their "rank". This mostly impacts Midjourney.
For the full report, check out:

And if you're working on something in consumer genAI, reach out 👋 (and follow me for more data!)a16z.com/how-are-consum…

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More from @omooretweets

Nov 13
AI is here to transform marketplaces.

But it's not creating new ideas - it's taking old ones, and finally making them work.

Marketplace categories that were previously graveyards are now greenfields, with space to build massive companies.👇 Image
First - what are these graveyard categories?

Think talent marketplaces, home repair, personal services (legal, tax), etc.

Shared traits are high value, infrequent transactions, that have required real manual coordination to make a match. This leads to high CACs and low LTV.
AI can change this in a few ways:

1️⃣ Serving as the middleman - plugging in where a human was needed before for intake, support, etc.

2️⃣ Allowing the marketplace to offer a new "product" to either buyers or suppliers, that uniquely attracts or retains them

Some examples ⬇️
Read 8 tweets
Oct 2
🚨 Introducing the AI Apps 50: Startup Edition

Ever wondered how startups are spending their money when it comes to AI?

Our team at @a16z worked with @mercury to crunch the numbers and rank the top applications by spend.

The list + what we learned from it👇 Image
First of all, how did we assemble this list?

We took data from Mercury's 200k+ customers (many are early stage startups) and ranked the vendors based on total spend between June and August 2025.

We then pulled the top 50 AI-powered applications from this list.

Takeaways ⬇️
1️⃣ Horizontal apps have a slight lead over vertical (60% of the list)

This includes general assistants (ex. @perplexity_ai) and SIX different meeting support tools (ex. @fyxerai).

But, it also encompasses creative tools and vibe coding tools that are used in roles across orgs.
Read 9 tweets
Sep 15
OpenAI just released the largest-ever report on how consumers are using ChatGPT.

It looks at millions of (anonymized) messages over the last 3 years to analyze usage evolution over time.

Key takeaways 👇 Image
1⃣ Usage engagement is increasing.

Older cohorts initially saw a dip in usage throughout 2023 (when new model/feature release was slow)

...but since then, every cohort has seen increasing usage (message volume) over time.

This is also true looking at usage / WAU in a cohort. Image
2⃣ For users on non-enterprise accounts, usage is largely non-work related.

This has only increased over time and for newer cohorts.

In June '24, 53% of usage was non-work related, Now (June '25), it's upwards of 73%. Image
Read 7 tweets
Sep 10
In the AI era, consumer startups are on a new trajectory.

The best B2C companies are exceeding 100% net revenue retention - which was previously only possible in B2B.

At @a16z, we call this "The Great Expansion." How companies achieve it👇
First, what does 100%+ NRR mean?

Net revenue retention = % of revenue that is retained over a period of time after accounting for churn and expansion.

If it's over 100%, the company is making MORE money from a cohort of customers over time.
In the pre-AI era, B2C companies almost never exceeded 100% NRR.

Why? Most users were monetized via a flat monthly subscription or ads. Usage-based pricing was rare.

So user retention = revenue retention. And since some users churned, NRR was less than 100% (and often <50%!) Image
Read 9 tweets
Aug 28
I've spent the last two years studying consumer AI trends.

Yesterday, our team @a16z published our latest report on the top 100 AI products (by usage).

My biggest surprises - and what to learn from them ⬇️
1️⃣ DeepSeek falls off

DeepSeek traffic significantly declined, now down 22% from peak on mobile and 40% on web.

Of DeepSeek's top 5 countries, usage fell in the U.S., Russia, India, and Brazil - and was flat only in China.

Once the novelty wore off, users did not retain. Image
2️⃣ Grok surges

On the other end of the spectrum, @xai's Grok had a big debut - at #4 on the web list and #23 on the mobile list.

Grok 4 and companions (Imagine released too late for inclusion), released in July, were as real unlocks - driving a jump of nearly 40% on mobile! Image
Read 8 tweets
Aug 27
🚨 Announcing the latest @a16z top 100 AI apps!

This marks the fifth edition 🎉 of our global ranking of consumer AI websites and mobile apps by usage.

And in my opinion, it was our most surprising list yet!

Our top takeaways + who made it 👇 Image
Image
1️⃣ Consumer AI is starting to stabilize.

This edition of the list saw only 11 new names on the web rankings*, compared with 17 on our last edition.

The mobile list saw more new entrants, as the App Store cracked down on ChatGPT copycats!

*excl. Google properties - more below! Image
Image
2️⃣ Google makes big moves

For the first time, we ranked Google domains separately - and four properties made the web ranks:

- @geminiapp (#2)
- @googleaistudio (#10)
- @notebooklm (#13)
- @googlelabs (#39)

NotebookLM's traffic has continued to ⬆️ since its viral moment. Image
Read 13 tweets

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