Meta’s Muse AI personal agent has taken the top spot among free iPhone apps in the U.S., overtaking OpenAI’s ChatGPT less than two weeks after its launch and giving Mark Zuckerberg’s push into consumer AI agents an early sign of traction.
Muse ranked ahead of ChatGPT, Polymarket, Kashi, Anthropic’s Claude, xAI’s Grok and Meta’s own Meta AI app on Apple’s U.S. App Store on Monday.
The app moved into the No. 1 position on Friday, just days after Meta released it on September 8. According to analytics firm Sensor Tower, Muse recorded about 730,000 downloads over roughly five days following its launch.
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Its cumulative downloads during that initial period also exceeded those of ChatGPT, Claude and Grok, although Sensor Tower cautioned that differences in the timing of releases across Apple’s App Store and Google Play affect comparisons.
The early adoption gives Meta an important foothold in a market that is beginning to move beyond conventional chatbots toward AI systems capable of taking actions for users.
Meta is positioning Muse as a personal AI agent that can perform tasks across the internet, including filling out electronic forms and organizing email inboxes. The application is powered by Meta’s Muse Spark family of AI models and represents one of Zuckerberg’s most significant attempts to put agentic AI directly into consumers’ hands.
The distinction between an AI chatbot and an agent is central to the strategy. Traditional chatbots primarily respond to prompts, while agents are designed to carry out tasks on behalf of users, potentially interacting with websites, applications, and digital services without requiring users to execute every step themselves.
“I think up to this point most of the agentic use cases have not really been for normal people,” Bernstein analyst Stacy Rasgon told CNBC. “Now you’ve got Meta’s Muse and other agents out there that are starting to maybe get more potential for more broad-based adoption.”
That shift could create a much larger consumer market for AI. Instead of using an AI system occasionally to generate text or answer questions, users could increasingly delegate routine digital work to an agent.
For Meta, the opportunity extends beyond user engagement.
Meta Sees A New AI Revenue Stream
Muse is free to download, but Meta is also offering monthly subscriptions priced at $20 and $100 depending on usage. That gives the company a potential source of AI revenue that is separate from its advertising business, which remains the foundation of Meta’s finances.
The subscription model is significant because the economics of consumer AI agents could differ from those of conventional social media products.
Running an agent capable of browsing the web, processing documents, managing email, and completing transactions can require substantially more computing resources than serving advertising-supported social feeds. A paid subscription could therefore become an important mechanism for covering those costs while giving Meta another way to monetize its growing AI infrastructure investment.
The initial market response was also visible in Meta’s shares, which jumped more than 11% on Monday. Wells Fargo raised its price target for the company to $796, according to multiple reports.
But the early success of Muse does not yet establish that Meta has created a durable consumer AI franchise.
AI applications have repeatedly experienced sharp increases in downloads after launch before losing momentum. OpenAI’s Sora and Meta’s Vibes AI video application are examples of products that generated substantial initial interest without establishing the same level of sustained consumer engagement as their launch-period performance suggested.
Muse also faces a more complicated challenge than simply attracting users: convincing them to trust an AI agent with access to sensitive personal information and the ability to take actions on their behalf.
That issue is already emerging.
Amazon recently blocked the Muse bot from accessing its website, according to GeekWire, citing privacy and security concerns.
“We think it’s fairly straightforward that third-party applications that offer to make purchases on behalf of customers from other businesses should operate openly and respect service provider decisions about whether or not to participate,” an Amazon spokesperson told GeekWire.
The dispute illustrates one of the major problems facing the agentic AI industry. An AI agent that can independently navigate websites and make purchases is more useful than a chatbot, but that capability also gives websites greater reason to control how external agents interact with their systems.
Meta is receiving a different response from Shopify.
Shopify CEO Tobias Lütke said Monday that the e-commerce company is working with Meta to enable agentic checkout in its online stores. The partnership could give Muse a direct path from recommending or finding products to completing purchases on participating merchants. That could become an important test of whether AI agents can evolve into a new interface for commerce.
But the broader issue is trust.
Meta has already faced intense scrutiny over the effects of its social platforms on younger users and recently agreed to pay about $17 billion to settle with a coalition of state attorneys general that had sued the company over alleged harms to children and teenagers associated with products including Facebook and Instagram.
Muse introduces a different category of risk because the product is designed to operate using users’ personal information and potentially act on their behalf.
Rasgon said the key question is whether Meta can maintain security while addressing privacy concerns surrounding a product that could have access to large amounts of personal data.
“They care about security, I don’t know how much they care about privacy,” he said.
That could increasingly come into play as agents move from answering questions to performing real-world digital tasks.
For Meta, the early App Store ranking provides evidence that consumers are willing to experiment with that model. But sustaining that interest will depend on whether Muse can become something users rely on regularly rather than another AI application that experiences a burst of curiosity before fading.
The competition is also intensifying. ChatGPT already has a large installed user base, while Claude and Grok are competing for consumers interested in sophisticated AI assistants. Google is also developing agentic products designed to integrate AI into everyday tasks.
Muse therefore enters a market where distribution is as important as model capability. Meta’s enormous consumer ecosystem gives it access to billions of potential users, while its control of social platforms, messaging services and advertising infrastructure could eventually give its agents more opportunities to interact with the digital lives of consumers.
The first two weeks show that Meta can generate attention. The harder test will be whether Muse can turn that attention into recurring usage, paid subscriptions and trusted transactions. If it does, the significance of the App Store ranking will extend beyond a successful product launch. It would indicate that AI agents are beginning to move from an experimental technology used mainly by enthusiasts into a consumer software category capable of competing directly with the leading AI assistants.



