AI Agents Are the New Middlemen: Is Your Business Ready?

Imagine a customer who never opens your website. Instead, she asks her personal AI assistant to find what she needs. The assistant researches products, compares options, including yours, and helps her make a purchase.

Your business might be considered, compared, or rejected before the customer ever visits your website. This is the direction AI shopping agents are taking us. And two of the world's biggest retailers have responded in very different ways.

In September 2026, Amazon blocked Meta's Muse AI agent from shopping on its platform. Walmart, meanwhile, is welcoming third-party shopping agents and building systems to manage how they access its store.

Both approaches reveal something important for businesses of every size: when an AI agent comes looking for your products or services, what will it find?

Why AI Agents Are the New Middlemen

For decades, middlemen like marketplaces, comparison sites and search engines have sat between customers and businesses, deciding what gets seen first.  AI shopping agents introduce another layer. Unlike traditional search engines that present a list of links, shopping agents can research products, compare prices, evaluate available information and help customers complete purchases.

The customer may only see a handful of recommendations, or even one. This creates a new challenge for brands. Your business must not only be visible to customers but also understandable to the AI systems helping them make decisions.

Automated Buyers- Amazon Blocks, Walmart Welcomes

Meta's Muse is a personal AI agent that can complete tasks on a user's behalf, including researching products, comparing options and making purchases with user approval. According to a Forbes report published in October 2026, more than a quarter of Muse's weekly users were actively involved in shopping and making purchases through the agent.

But not every retailer wants AI agents shopping on its platform. Amazon blocked Muse, arguing that Meta had not obtained authorisation for the agent to access its store. They had also raised concerns about the agent's identification while browsing and the handling of customer credentials. Meta, however, maintains that Muse is designed to keep passwords and payment information inaccessible to the agent itself.

This is where Walmart took a different approach. On October 21, Walmart announced its Agent Gateway, Agent Profiles and rules for third-party shopping agents.

The Agent Profiles will allow customers to authorise individual AI agents, review their purchases and set controls such as spending limits or purchase approvals. Walmart said these profiles would begin launching within the following month.

The difference is significant. Amazon is restricting access it considers unauthorised, while Walmart is developing controlled ways for AI agents to shop on behalf of customers. Both approaches reflect a growing question for retailers: how much control should outside AI agents have over the shopping experience?

Eroding Brand Loyalty

When someone asks an AI agent to find the best product within a certain budget, the agent compares the prices, specifications, reviews and availability before recommending. The customer might never browse every brand's website, see its advertisements or explore its complete product range.

That doesn't mean brand loyalty disappears. Reputation, trust and customer preferences can still influence what the agent recommends. However, the way customers encounter brands could change. Placing a familiar logo or running an attractive advertisement may not be enough if the AI agent can’t find reliable information about the product being considered.

Meta Business Agent- The Business Side of AI

While personal AI agents like Muse help customers discover and purchase products, Meta has also developed AI agents tailored for businesses to manage customer interactions. One such is the Meta Business Agent.

Introduced in June 2026, it is designed to respond to customer enquiries through supported Meta messaging platforms such as WhatsApp and Instagram. Depending on your business's access, configuration and integrations, the AI agent can-

●       Answer questions about products and services.

●       Recommend products from a business catalogue.

●       Help qualify incoming leads.

●       Assist with appointment bookings and support sales workflows.

●       Bring a human team member into the conversation when needed.

There is an important distinction between the two products. While Muse acts on behalf of a customer, Meta Business Agent helps brands serve their customers in real time. Even though Meta has globally rolled out Business Agent, accessibility is not open to all businesses, as it remains dependent on eligibility, supported markets and available features.

These two autonomous systems illustrate how artificial intelligence is influencing different stages of the customer journey, from the initial discovery to the communication. For businesses, the immediate priority is making sure your information is accurate, accessible and useful wherever customers or AI tools encounter it.

Is Your Business Ready? A 5-Part AI Agent Readiness Framework

At Marketing as Sales support, we see AI agent readiness as a marketing and operational challenge before it becomes a technology investment. Businesses don't necessarily need to build their own agents today. They just have to figure out whether their existing information and processes are ready for a different kind of customer journey. Here are five areas worth examining.

1. Discoverability and Legibility

Can an AI system find and understand what your business offers?

Review your website, business listings and product information. Use clear descriptions, accurate prices, current availability and easily accessible contact details. The goal isn't to chase a guaranteed AI ranking. It's to make your business easier to understand and evaluate.

2. Policy and Terms Audit

Would you allow an automated agent to browse your products, ask questions or place orders?

Different businesses will require different levels of control. Review your website terms and purchasing policies. Consider how you would handle orders, cancellations or disputes involving an automated buyer.

3. Workflow and Process Readiness

Suppose an enquiry or purchase comes through an AI-powered service. Can your business process it correctly?

Check whether your order confirmations, booking systems, customer support and return policies are clear. Automation becomes less useful when the information behind it is outdated, or the next step is unclear.

4. Agent Identity and Verification

If automated agents begin interacting with your business, how will you distinguish them from human customers?

What information would they be allowed to access? When would human approval be required?

Walmart's proposed Agent Profiles offer one example of how businesses can establish permissions and accountability. Smaller businesses can start by reviewing their existing security, verification and customer-service procedures.

5. Testing with AI-Driven Scenarios

How accurately do AI assistants describe your business today?

Try asking them the kinds of questions your customers would normally ask. Check whether they can identify your products, services, locations, prices and policies. The tests may not guarantee visibility or predict every recommendation. But they can help uncover missing information, inconsistencies and potential areas for improvement.

The 15-Minute AI Agent Test You Can Do

You don't need to invest in new technology to begin assessing your business. Start with this five-point checklist.

1. Ask for the best.

Open an AI assistant and ask:

"What's the best [your product or service] in [your city]?"

See whether your business appears and which competitors are mentioned.

2. Check the basics.

Ask the assistant about your business's products, prices, opening hours, location and policies. Are the answers accurate and up to date?

3. Compare your business.

Ask the assistant to compare your business with a nearby competitor. Examine the differences it highlights and the authenticity of the information.

4. Review your customer-facing information.

Check your website, Google Business Profile, WhatsApp Business profile, catalogue and frequently asked questions. Can customers easily find the information they need?

5. List the gaps.

Record missing details, outdated descriptions and incorrect information. Then check whether those problems originate from your website, business listings or the AI assistant itself. AI-generated answers can be inaccurate or vary between platforms. A single test is a useful starting point, but not a definitive measure of your visibility. The goal is to identify practical improvements your team can make.

How to Make AI Agents Work for Your Business

Amazon is restricting unauthorised agents. Walmart is building controlled ways to welcome them. This naturally raises a question about what approach to follow. We answer that you don't need to follow either approach at that scale.

What you need is clarity. This starts by ensuring your products/services are easy to understand. Keep your digital information accurate. Establish clear policies and ensure your team can handle enquiries and purchases efficiently.

Autonomous AI shopping is still developing, and availability varies by platform and market. Meta's Muse is currently rolled out in the US, Canada, Japan and Singapore, with no announced launch date for India or the UK.

But AI-assisted discovery is already relevant to businesses today. The question isn't whether you need an AI agent of your own. It's whether your business is ready to be discovered and evaluated by someone else's.

At MaSs, we help businesses strengthen their marketing foundations that matter. These are discoverability, clear communication, customer journeys and conversion. If you want to understand how your business appears to customers and the AI tools they use, get in touch with us and let's identify where your business stands and what you can improve.

FAQs FREQUENTLY ASKED QUESTIONS AI Shopping Agents and Business Readiness

What are AI shopping agents, and how do they affect businesses?

1. What are AI shopping agents, and how do they affect businesses?

AI shopping agents are personal AI assistants that research products, compare prices and options, and help customers complete purchases. Unlike search engines that show a list of links, they may show a customer only a few recommendations, or just one. Your business can be considered or rejected before the customer ever visits your website.

How are AI agents becoming the new middlemen between customers and brands?

Marketplaces, comparison sites and search engines have long sat between customers and businesses, deciding what gets seen first. AI shopping agents add another layer by evaluating available information and recommending options. Brands now need to be visible to customers and understandable to the AI systems that help them decide.

Why did Amazon block Meta’s Muse AI while Walmart welcomed third-party agents?

Amazon blocked Muse in September 2026, arguing Meta had not obtained authorisation and raising concerns about how the agent identified itself and handled customer credentials. Meta says Muse keeps passwords and payment details inaccessible to the agent. Walmart instead announced an Agent Gateway, Agent Profiles and rules for third-party shopping agents on October 21

What is the difference between Meta’s Muse and Meta Business Agent?

Muse is a personal AI agent that acts on a customer’s behalf, researching products, comparing options and buying with user approval. Meta Business Agent, introduced in June 2026, helps businesses serve customers in real time by answering enquiries on supported platforms such as WhatsApp and Instagram. Availability depends on eligibility, supported markets and features.

How can I make my business ready for AI shopping agents?

Start with clarity: keep product and service information accurate, easy to understand and current. MaSs suggests a five-part readiness check:

Discoverability and legibility

Policy and terms audit

Workflow and process readiness

Agent identity and verification

Testing with AI-driven scenarios

How can I test whether AI assistants describe my business correctly?

Run a 15-minute test in an AI assistant. Ask for the best product or service in your city and see whether you appear. Check that products, prices, hours, location and policies are accurate. Compare yourself with a nearby competitor, review your customer-facing information, then list the gaps. AI answers vary, so treat one test as a starting point

Is Meta’s Muse available in India, and does my business need to act now?

Muse is currently rolled out in the US, Canada, Japan and Singapore, with no announced launch date for other countries. However, Meta has pre-configured the local subscription pricing for India recently. Autonomous AI shopping is still developing, but AI-assisted discovery is already relevant today. The question isn’t whether you need your own agent, but whether your business is ready to be discovered and evaluated by someone else’s.