Close your eyes, and imagine this: your next customer never visits your website, clicks on your ad or speaks to your sales team. Instead, they send an AI assistant to do their shopping, compare your business against competitors and complete their purchase.
Welcome to the next potential shake-up in digital marketing, brought to you by Meta Muse.
Launched in September 2026, Meta's new AI agent can research products, book appointments, send emails and complete purchases on a user's behalf. Available through its own app and WhatsApp, Muse represents another step toward a world where AI handles the busywork between consumers and brands.
For businesses, that raises some interesting questions. What happens to traditional marketing when customers send AI agents to do their shopping? How do you attract an audience that may never see your ads? And is your website prepared to convince a customer who isn't human?
We asked Kinetic319's very own marketing experts what Muse means for brands and what businesses should be doing now.
What Is Meta Muse, Exactly?
Think of Meta Muse as a personal assistant with considerably more initiative than your average chatbot.
Traditional AI tools generally respond to prompts, but Muse can take a goal, develop a plan and perform tasks across websites and connected applications.
For example, someone planning a vacation could ask Muse to compare hotels, research activities, coordinate schedules and help make reservations. Someone shopping for a new appliance could ask it to compare prices, warranties, shipping policies and customer reviews.
Muse can handle multiple steps without requiring the user to supervise every action, although sensitive activities may require approval.
Its integration with WhatsApp is of particular interest, since consumers can interact with Muse through an application they're potentially already using. Theoretically, this should reduce the effort required to try AI-assisted shopping.
For brands, however, Muse's most significant feature may be its ability to act as an intermediary between businesses and their customers.
Your Next Customer Might Be an AI Agent
Jason Nowlin, Director of SEO/GEO at Kinetic319, sees Muse as a potential turning point in how businesses approach their websites and digital content. "I don't see Muse as a tool my clients will use so much as a tool their customers will use on them."
To illustrate this, just think about what happens when a consumer asks an AI assistant to find the best local contractor.
The agent might compare five websites, check service areas, investigate customer reviews, examine availability and request estimates. It can potentially complete this research in a fraction of the time someone would spend clicking through search results.
And unlike a human shopper, an AI agent isn't necessarily impressed by a clever headline or beautiful homepage. It needs accurate information. Therefore, "I believe the rise of Muse will force businesses to be extremely specific and factual about stock, pricing, benefits, services and timing," Jason explains.
A website advertising 30-day returns while its chatbot promises 14 days creates conflicting information. A restaurant with outdated hours risks losing a reservation. A retailer requiring customers to call for basic pricing information creates an unnecessary obstacle. In each scenario, an AI agent may simply move on to a competitor that provides clearer answers, which is a significant consideration for businesses accustomed to treating their websites primarily as marketing materials.
What Meta Muse Means for SEO, AEO and GEO
Search engine optimization isn't going anywhere, but AI agents are changing how businesses need to think about visibility.
Traditional SEO helps customers find your website. Answer engine optimization (AEO) makes your content easier for AI-powered search tools to understand and present, while generative engine optimization (GEO) helps your brand appear in AI-generated responses.
Muse takes this a step further. Getting discovered is only part of the equation. Your website also needs to provide enough accurate, accessible information for an AI agent to take action on a customer's behalf.
Jason believes this raises the stakes for SEO, AEO and GEO, particularly in four areas:
-
Consistent information: Pricing, availability, product details, hours and policies should match across your website, business listings and customer service channels.
-
Clear answers: Give customers (and their AI agents) direct answers to common questions. Don't bury important information in promotional copy.
-
Structured content: Organize product information and use relevant structured data to help automated systems interpret your offerings.
-
Simple conversions: Make it easy to book appointments, complete purchases and receive confirmations without unnecessary steps.
These changes could also complicate how businesses measure success. If an AI agent researches several brands and recommends yours, the customer might never visit your website until they're ready to buy. They might not visit at all.
That means traditional metrics like page views, engagement time and click-through rates may no longer tell the whole story. As AI agents take on more of the customer journey, marketing teams will need to rethink how they track discovery, conversions and attribution.
Can Businesses Use Meta Muse Themselves?
Absolutely. And Meta is expanding those capabilities. Initially positioned as a personal AI agent, Muse can help individuals manage administrative tasks, conduct research and coordinate activities.
On September 29, Meta announced Muse for Small Business, introducing additional integrations with tools including Shopify, Stripe, QuickBooks, Slack and business accounts on Facebook and Instagram. This gives businesses opportunities to experiment with AI-assisted administration, research and other workflows, subject to the product's available features and approval controls.
Jamie Jones, Biddable Media Team Lead at Kinetic319, sees particular potential for retailers that can connect ecommerce data with information from the other platforms they already use. Connecting Shopify data to Meta while also pulling information from tools such as Asana, Dropbox and Zoom could give Muse a much broader view of the business and potentially help teams make better-informed decisions.
There are still practical questions to answer, though. Jamie is interested in seeing how quickly businesses could work through their available tokens as they connect more platforms and ask Muse to handle more tasks. With the technology still in its learning stage, she recommends waiting for more definitive results before relying too heavily on it.
The controls Meta is building into Muse are encouraging. Users can approve sensitive actions, such as sending emails or making purchases, and review an audit trail showing what Muse has done and what it plans to do next. For businesses experimenting with agentic AI, those safeguards could make it easier to test the technology without giving up complete control.
One note of caution: it's important to distinguish those capabilities from Meta Business Agent, a separate business-facing tool designed to help companies respond to customers through Meta's messaging platforms.
For marketing teams, the immediate opportunity is twofold: explore how AI can support internal operations while preparing for customers who increasingly rely on AI to interact with businesses.
What About Meta Advertising?
Megan Cornelius, Director of Accounts at Kinetic319, sees Muse as another development worth watching as Meta expands its AI capabilities. "It will be interesting to see what Muse brings to the table. Meta has been using AI for quite a bit now, and I am curious how it will help enhance campaign performance even further," she commented.
Jamie Jones sees this as a testing period rather than a reason for brands to overhaul their strategies. The potential is significant, but businesses still need more evidence that those connections will translate into better decisions and campaign outcomes.
Meta already uses AI extensively throughout its advertising ecosystem, including campaign delivery, targeting and creative capabilities. Muse introduces new possibilities, although its precise influence on advertising performance remains uncertain.
For example, AI agents could eventually change how people discover products, evaluate recommendations and interact with advertisements. If consumers increasingly ask an assistant to research products instead of browsing social media themselves, brands may need to rethink how they connect with potential customers.
However, it's too early to assume Muse will improve campaign performance or fundamentally disrupt paid social advertising. Brands should continue measuring existing campaigns while paying attention to changes in consumer behavior, Meta's advertising products and AI-assisted purchasing.
Prepare Your Brand for the Next Generation of Search
Muse offers a glimpse into the future of digital commerce, but there are still some hurdles to clear. Consumers need to trust AI agents with their personal information, payment details and purchasing decisions, and businesses need confidence that those agents can accurately interpret policies, process transactions and follow purchasing restrictions.
As Meta expands Muse's capabilities across more devices and platforms, Jason anticipates another development: AI agents communicating directly with other AI agents. Imagine a customer's personal assistant negotiating a purchase, scheduling an appointment or arranging delivery with a brand's customer service bot, with minimal human involvement.
We're not there yet, but you don't need to wait to start preparing.
Jason recommends focusing on the fundamentals: audit your website, eliminate conflicting information, answer common questions directly and simplify your conversion processes. These improvements benefit customers today while preparing your business for increasingly automated interactions.
Whether Muse becomes the next big thing or another stepping stone in AI's evolution, one thing is clear: the way customers discover, evaluate and interact with brands is changing. At Kinetic319, we help businesses stay ahead with SEO and GEO strategies, better digital experiences and marketing campaigns that adapt to changing consumer behavior.
Connect with Kinetic319 to make sure your brand is ready for whatever comes next.
FAQ
Is Meta Muse different from Meta AI?
Yes. Meta Muse is designed to act on a user's behalf, completing multistep tasks across websites and connected applications. Traditional AI assistants primarily focus on answering questions, generating content and assisting users through conversations.
Can businesses use Meta Muse for marketing?
Businesses can explore Muse's administrative and business integrations, but brands should distinguish these capabilities from Meta's advertising tools and customer-facing Business Agent. Muse doesn't automatically provide businesses with access to consumers using personal AI agents.
Will Meta Muse replace SEO?
No. AI agents still need accurate, accessible information to evaluate businesses. Strong technical SEO, clear content, structured product information and consistent business details can support both traditional search and AI-driven discovery.
How should businesses prepare for AI shopping agents?
Start by auditing your website and business listings. Make pricing, availability, policies and product information consistent. Answer common customer questions directly and simplify booking, purchasing and customer service processes.