Muse Will Normalize Agentic Behavior For Consumers, Brands, And Creators

Meta's new AI agent, Muse, doesn't just tell you how to do something, it does it for you. Give it a task and it can fill out forms, book travel, make purchases, create documents, and send emails. With the launch of Muse for Small Business, Meta is extending those capabilities into the workplace, connecting to Instagram Professional accounts, Facebook Pages, Meta ad accounts, and business platforms like Shopify, Canva, and Slack.

Today, Muse is primarily a productivity solution, but it will eventually transform how brands and creators market, sell, and create content across Meta's ecosystem. For creator marketing, this marks a bigger shift than it may appear. Muse is another step toward a world where AI agents increasingly sit between discovery and decision-making. As that happens, the role of creators won't diminish, but it will evolve.

For years, social commerce adoption (particularly in the US) has been limited by one simple reality: the path from inspiration to purchase still requires a lot of work. It’s not easy to do typical shopping behaviors on social, like browsing products, comparing prices, or evaluating fit. A consumer sees a creator wearing a new pair of sneakers. They click a link, search for their size, compare prices, choose a retailer, and eventually check out.

In an agentic world, those steps disappear. Those barriers are moot. The consumer simply tells their agent: "Find those shoes in my size, get me the best price, and make sure they arrive before Friday."

Creators are still critical in generating demand, but now agents will remove the friction between desire and purchase. This fundamentally changes the role of influence. Brands will continue to rely on creators to capture attention and create preference; however, if AI agents sit between influence and transaction, brands must also become “recommendable” within AI systems. Winning attention alone won't be enough. Brands will need the signals, content, and consumer proof that help agents confidently choose them.

Historically, marketers have viewed creator content as an output in the marketing process. We find the creators, write the brief, post the Reel, measure how it worked. Repeat. In an agentic ecosystem, creator content becomes something more valuable: an intelligence layer.Reviews, tutorials, comparisons, comments, and conversations become signals that help AI systems understand what consumers value, which products solve particular needs, and which brands are most relevant in specific contexts.

Muse for Small Business already uses performance signals to recommend business actions. The same principle will increasingly apply to marketer decision-making. What product benefits consistently show up in creator conversations? What language do consumers naturally use? Which content formats drive engagement? What unexpected use cases emerge repeatedly across communities?

Brands must start mining creator ecosystems for the insights that shape future content, product positioning, and customer experience. The goal is no longer simply to be AI-visible. It’s to be AI-pickable.

As agents become an integral layer between discovery and commerce, capable of understanding context, a product/brand doesn’t necessarily have to be in the biggest conversations to generate meaningful signals. The long tail of culture and community becomes more valuable as machines can make sense of it in ways humans couldn’t. Culture isn't made in broad categories like "fashion," "sports," or "parenting." It's created within thousands of niche communities where people share recommendations, debate products, and exchange expertise.BookTok organizes around hyper-specific genres. Trail runners debate recovery shoes. Parents obsess over lunchbox hacks. Every interest fragments into smaller, and often more passionate, communities.

Agentic systems make it much easier to harness the long tail and identify patterns across thousands of niche communities in ways humans never could. This makes cultural specificity increasingly valuable. Instead of asking who is influential in fashion, brands should ask which communities are shaping conversations around the category. They should start with audiences, then communities, and then identify the creators who authentically lead them. By building credibility within these communities, brands will generate the strongest signals for both consumers and the agents acting on their behalf.

→ AI visibility needs to be part of your now plan, not your next plan

→ Treat creator content as an intelligence layer that informs decisions beyond social marketing

→ Optimize for recommendations, not just reach

→ Build niche community intelligence to inform creator programs, not broad culture trends

→ Measure creator content not only by engagement and conversion, but by the signal quality

→ Create the most useful, trustworthy, and context-rich signals for both consumers and AI agents