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Home News Business and Funding

Pinterest Claims Higher Search Volume Than ChatGPT Despite Earnings Miss

March 4, 2026
in Business and Funding
Reading Time: 3 mins read
Pinterest Claims Higher Search Volume Than ChatGPT Despite Earnings Miss
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Pinterest just tried to pick a fight with the biggest name in AI while its own house was taking a hit. After a rough earnings report dropped the stock price by 20%, CEO Bill Ready defended the platform by claiming it actually processes more searches than ChatGPT. It is a bold deflection tactic: point at the new threat and claim you are already bigger, even as advertisers pull back and revenue misses the mark.

Key Takeaways

  • Pinterest reported fourth-quarter revenue of $1.32 billion and earnings of 67 cents per share.
  • Monthly active users increased 12% year-over-year to 619 million.
  • Pinterest shares fell 20% in after-hours trading following the earnings report.

Pinterest brought in $1.32 billion last quarter, which sounds like a lot but was less than Wall Street expected. While the number of people using the app grew to 619 million, the company isn’t making as much money from them as predicted. Advertisers, especially in Europe, are spending less.

To counter the gloom, leadership argued that Pinterest is still a search giant. The CEO stated the platform handles 80 billion searches a month, compared to 75 billion for ChatGPT. His argument is that people come to Pinterest with “commercial intent”—meaning they want to buy things—whereas most people just chat with AI.

The big deal

This situation highlights the dangerous gap between being popular and being profitable. Pinterest has a massive audience that is growing faster than expected, yet it struggles to turn those eyeballs into dollars. This is the classic “window shopper” problem: millions of people are looking, but not enough are buying.

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It also shows how defensive tech companies have become about AI. By explicitly comparing his company to ChatGPT, the CEO is trying to convince investors that Pinterest won’t be replaced by chatbots. He is betting that visual browsing is still how people want to shop, rather than typing text prompts into a bot.

How it works

Pinterest relies on visual discovery rather than specific questions to guide users to products.

Think of Pinterest like wandering through a large department store just to look at the window displays; you might see ten things you like, but you didn’t walk in with a specific shopping list. ChatGPT is like walking up to the customer service desk and asking exactly where to find a size 10 red sneaker.

Pinterest bets that the “wandering” method leads to more buying than the “asking” method. The company uses algorithms to show you images related to what you just looked at, hoping to guide you from a vague idea to a specific purchase without you ever typing a search term.

The catch

The numbers don’t quite back up the optimism. Despite having more users, Pinterest missed its revenue targets. Advertisers are pulling back spending, and external factors like new furniture tariffs have hurt the home decor category—a huge part of Pinterest’s traffic.

There is also a fundamental usability issue. Users often go to Pinterest to “plan and dream,” not to shop and buy. Converting a “pinner” into a “buyer” has always been the platform’s hardest challenge. If advertisers decide that AI chatbots offer a clearer path to a sale, they might move their money regardless of how many searches Pinterest hosts.

What now?

The company expects the next quarter to be tough, forecasting sales between $951 million and $971 million, which is below expectations. Leadership says the trends causing the shortfall could get worse before they get better.

If you are a user, you might see more features pushing you toward checkout, fueled by a partnership with Amazon designed to make buying easier.

Watch to see if the user growth continues or if the “dreaming vs. buying” gap widens as AI shopping tools get better.

Tags: Amazonbenchmarkingchatbotsimage generationMetanotionOpenAIretrievalvector databases
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