Updated October 20, 2026 | AgentIncomeLab.com
Artificial intelligence is moving beyond answering questions and generating content. A new generation of AI agents can browse websites, work with connected applications, research information, organize tasks, and take actions on behalf of users.
One of the newest entrants is Meta Muse, a personal AI agent developed by Meta.
For entrepreneurs, freelancers, creators, and small business owners, this raises an important question:
Can you actually make money with Meta Muse?
The answer is yes, potentially. But the opportunity is not simply to install an AI app and watch money appear.
The real opportunity is to use AI agents to solve problems that individuals and businesses are willing to pay to have solved.
You could create a lead generation service, offer AI-assisted business research, help companies implement automation, develop software integrations, or start a niche service-matching business.
In this guide, we’ll explore ten business models, explain how to get started, examine startup costs, and show you how to validate your first income opportunity.
What Is Meta Muse?
Meta Muse is a personal AI agent designed to complete tasks rather than merely respond to prompts.
Unlike a traditional chatbot that primarily generates answers, an AI agent can plan and execute multistep workflows, interact with connected tools, and continue working on delegated tasks.
According to Meta’s official product documentation, Muse can:
- Research information using a browser.
- Work across multiple steps to complete tasks.
- Connect to supported applications and services.
- Create documents and images.
- Monitor information and track goals.
- Use connectors to interact with external tools.
- Request approval before certain consequential actions.
Meta introduced Muse on September 8, 2026, followed by an expansion into small-business workflows later that month.
Muse for Small Business supports integrations with services including Shopify, Stripe, QuickBooks, Notion, Canva, and other business platforms.
These capabilities create opportunities to provide services more efficiently, provided you have the necessary permissions and review the agent’s work.
Important: Muse availability, integrations, usage limits, and capabilities can vary. Always verify what your account can actually do before promising a service to a customer.
Why AI Agents Create New Business Opportunities
Every business has work that consumes time but does not necessarily require continuous human attention.
Examples include collecting information, organizing spreadsheets, preparing reports, comparing suppliers, tracking customer requests, and performing repetitive administrative tasks.
Previously, a freelancer might perform these activities manually or develop custom software to automate them.
AI agents introduce another option.
An entrepreneur can delegate portions of a workflow to an agent, review the results, and deliver a finished service to a customer.
Consider a simple example.
A local property maintenance company wants a weekly list of potential commercial customers.
Traditionally, a marketing assistant might spend several hours researching publicly available company websites, identifying relevant businesses, recording company details, and preparing a prospecting report.
With an AI agent, some of that research and formatting can potentially be accelerated.
The business still needs someone to define the requirements, check accuracy, handle legal compliance, and ensure the results are useful.
That combination of AI-assisted execution and human quality control can form a paid service.
The key principle is straightforward:
Customers pay for useful outcomes, not for the number of prompts you enter into an AI tool.
10 Ways to Make Money with Meta Muse
1. Start an AI-Assisted Lead Generation Service
Lead generation is one of the most accessible service business models for beginners.
Companies constantly need potential customers, but identifying qualified prospects takes time.
You could offer a service that researches suitable businesses, organizes information, and prepares lead qualification reports.
For example, you might specialize in finding potential customers for:
- IT service providers.
- Commercial cleaning companies.
- Web design agencies.
- Accounting firms.
- Business software consultants.
Illustrative business model
Offer a monthly prospect research package for $200–$750, depending on the scope, data quality, verification requirements, and market.
A sample service might include 50–100 researched companies with publicly available business information, qualification notes, and relevant business context.
These are example prices, not verified market averages or guaranteed earnings.
How Muse could help
Muse could assist with researching permitted public sources, organizing findings, and drafting summary reports.
You would need to verify the information and ensure that collection and outreach comply with applicable privacy rules, platform terms, and marketing laws.
Never assume Muse has unrestricted access to Instagram profiles, Facebook users, or private contact information.
2. Create a Local Service Matching Business
A service matching business connects customers who need a service with providers capable of delivering it.
Examples include home maintenance, commercial cleaning, IT installation, tutoring, and moving services.
You do not necessarily need to deliver the service yourself.
Your role is to identify customer needs, qualify service providers, and facilitate introductions.
Example
Suppose a company needs technicians to install computers at five branch offices.
You establish a small service matching business specializing in IT field services.
When a customer submits a request, you use AI-assisted research to identify suitable authorized service providers, compare their capabilities, and organize quotations.
You might earn an agreed referral fee or charge the customer for coordination.
Potential pricing model
A hypothetical referral arrangement could pay $50–$300 for a successfully completed introduction, depending on contract value and industry conventions.
Referral commissions must be disclosed where legally required, and you should establish written agreements before making introductions.
Muse can assist with research and workflow coordination, but it does not replace contractual, technical, or customer-service responsibilities.
3. Offer AI-Powered Market Research
Businesses need information about competitors, customer demand, products, and emerging trends.
Many smaller companies cannot afford a dedicated market research department.
You could offer narrowly defined research reports using AI agents to accelerate the initial research process.
Possible products include:
- Competitor comparison reports.
- Local market opportunity studies.
- Software vendor shortlists.
- Product pricing comparisons.
- Industry trend summaries.
For example, a small digital agency might purchase a competitive analysis of five companies offering similar services in its local market.
An illustrative starting price could be $150–$500 for a carefully scoped report.
The customer is buying reliable analysis, not merely a collection of AI-generated paragraphs.
All factual claims should be sourced, and important conclusions must be independently verified.
4. Build an AI Automation Consulting Business
Small businesses often know that AI could save time, but they don’t know where to start.
This creates an opportunity for consultants who can identify repetitive processes and design practical AI-assisted workflows.
Services could include:
- Automated preparation of weekly business reports.
- Appointment and administrative workflows.
- E-commerce order analysis.
- Customer inquiry classification.
- Invoice and document organization.
- Internal research assistants.
Meta Muse for Small Business already supports a range of integrations, making certain workflows easier to explore.
However, you should test each workflow in the customer’s environment before selling it.
Illustrative pricing
An initial workflow assessment might cost $150–$400.
A small implementation might be priced at $500–$2,000, with ongoing support priced separately.
Actual rates depend on technical complexity, reliability, client requirements, and your experience.
5. Develop Meta Muse Connectors
This opportunity is particularly interesting for software developers.
Meta provides a connector framework that allows external services and applications to interoperate with Muse.
Developers can potentially create connectors that expose specialized information or actions to the AI agent.
Examples of potential connector products include:
- A connector for a niche CRM.
- A property management reporting connector.
- An appointment scheduling integration.
- A field service management connector.
- A specialized inventory lookup service.
Imagine a small equipment rental company using its own booking system.
A developer could investigate building a connector that lets authorized users request availability information or initiate supported workflows through Muse.
The business model could be a setup fee, paid maintenance, or a subscription to an accompanying SaaS service.
Important distinction: Meta’s connector terms establish a development framework, but they do not guarantee connector approval, distribution, discovery, or direct monetization. Review the current technical documentation, platform policies, and commercial conditions before building.
6. Sell AI-Assisted Content Research Packages
Content creators and small businesses need ongoing research for blog posts, newsletters, and educational materials.
Rather than selling generic AI-generated articles, consider offering structured research packages.
A package could contain:
- Relevant topic questions.
- Verified background sources.
- Competitor content analysis.
- Suggested article structures.
- Original interview questions.
- Content briefs and editorial recommendations.
Muse may be useful for gathering and organizing permitted source material.
Your value comes from source verification, editorial judgment, subject expertise, and understanding the customer’s audience.
For a small niche website, you might offer a monthly content research package of four briefs for an illustrative price of $200–$600.
Avoid publishing unverified AI-generated facts or reproducing copyrighted content without permission.
7. Launch an AI-Assisted E-Commerce Research Service
Online sellers often spend considerable time evaluating products, comparing suppliers, and monitoring competitors.
You could offer research and operational assistance to small e-commerce businesses.
Examples include product comparison reports, merchandising research, customer feedback summaries, and analysis of authorized store data.
Meta Muse for Small Business includes integrations with Shopify and other relevant applications.
A useful service might be a weekly merchandising summary containing sales observations, inventory concerns, and recommended follow-up actions.
It is essential to distinguish what Muse can directly retrieve through authorized integrations from what would require manual exports or additional software.
The customer’s business data should only be accessed with explicit permission.
8. Provide Virtual Research Assistant Services
Some entrepreneurs need occasional assistance but cannot justify hiring a full-time research or administrative employee.
You could create a service that combines an AI agent with human supervision.
Tasks might include:
- Preparing meeting background documents.
- Researching suppliers.
- Organizing project information.
- Drafting internal summaries.
- Comparing business software.
- Creating recurring information reports.
For example, a solo consultant might pay a monthly retainer for recurring administrative research and report preparation.
The value proposition is convenience, responsiveness, and reliable deliverables.
You remain responsible for reviewing the outputs and protecting confidential information.
9. Create and Sell AI Workflow Templates
Not every income model requires working directly with clients.
Digital products provide an alternative.
Once you’ve developed a repeatable workflow, you could package it as a downloadable guide, prompt library, checklist, or implementation template.
Possible products include:
- AI lead research workflow templates.
- Weekly competitor monitoring checklists.
- Small business automation starter kits.
- Client onboarding process templates.
- Connector integration planning guides.
A beginner digital product might be sold for $9–$49.
The advantage is that a product can potentially be sold repeatedly.
The challenge is distribution: you must attract interested customers and convince them that your material offers value beyond free tutorials.
Do not market plain-text prompts as fully functional software integrations.
10. Build a Niche AI Agent SaaS Business
This is the most technically demanding option on our list, but it may also offer a more defensible long-term business.
Rather than selling hours of research, you create a software product that solves a recurring industry problem.
For example, you could build a subscription service for IT field service providers that organizes customer requests, tracks subcontractor capabilities, or prepares service opportunity reports.
Muse might serve as an interface or integration channel, while your own application manages the underlying business logic, customer data, authorization, and billing.
An illustrative subscription could start at $29–$99 per month for a narrowly scoped product.
Success would depend on whether customers consistently receive enough value to continue paying.
This business model requires ongoing maintenance, customer support, security, and product development.
Which Meta Muse Business Model Is Best for Beginners?
Not every opportunity is equally suitable for someone just getting started.
Here is a practical comparison.
| Business Model | Technical Skills | Startup Complexity | Recurring Revenue Potential |
|---|---|---|---|
| Lead research | Low–Medium | Low | High |
| Local service matching | Medium | Medium | Medium |
| Market research reports | Low–Medium | Low | Medium |
| Automation consulting | Medium–High | Medium | High |
| Muse connector development | High | High | High |
| Content research packages | Low–Medium | Low | High |
| E-commerce research | Medium | Medium | High |
| Virtual research assistance | Low–Medium | Low | High |
| Digital workflow templates | Low–Medium | Low | Medium |
| Niche AI agent SaaS | High | High | High |
These ratings are editorial assessments, not measured industry statistics.
For most beginners, I recommend starting with a narrowly defined service before investing in complex software.
It allows you to test demand, learn about customer problems, and generate feedback without making a large initial investment.
How to Start Your First Meta Muse Business: Step by Step
Step 1: Choose a Specific Customer
Avoid trying to sell general AI services to everyone.
Choose one audience with a repeated, expensive, or frustrating problem.
For example, instead of targeting all small businesses, target independent IT service providers with fewer than 25 employees.
Your offer becomes easier to explain when it addresses a recognizable industry problem.
Step 2: Identify One Problem Worth Paying to Solve
Speak to potential customers before building a complex workflow.
Find out what work consumes their time, how they currently complete it, and whether they already pay someone to perform it.
Good questions include:
- What repetitive task takes the most time each week?
- What happens if the task is delayed or completed incorrectly?
- How is it handled today?
- What would a useful result look like?
- What would make an outside service worth paying for?
Step 3: Test the Workflow Using Muse
Choose a small task that can be completed using information and systems you are authorized to access.
For example, create a sample competitor overview using public business websites.
Ask Muse to help research a defined set of companies and organize the findings in a table.
Then review every important result.
Record whether the workflow is accurate, how long it takes, and where human intervention is necessary.
Don’t promise autonomous end-to-end automation if the task still requires substantial manual involvement.
Step 4: Create a Sample Deliverable
Before finding a paying customer, prepare a high-quality sample.
For a business research service, this might be a five-page PDF showing:
- Research objectives.
- Companies analyzed.
- Sources and methodology.
- Findings.
- Recommended next steps.
Make the deliverable look professional and demonstrate how the customer will use it.
Step 5: Define a Simple Offer
Avoid complicated pricing at the beginning.
An example offer might be:
Small Business Competitor Snapshot — $199
Includes research on five competitors, a structured comparison, key findings, and an actionable summary.
Delivery time and scope must be stated clearly.
This is an illustrative offer that should be validated with prospective customers.
Step 6: Find Your First Prospective Customers
Start with a small number of relevant businesses.
Use legitimate professional networks, existing contacts, opt-in inquiries, and other permitted marketing methods.
Personalize your proposal to the customer’s actual problem.
Do not scrape private social profiles or use an AI agent to send unsolicited bulk messages.
In the EU and other jurisdictions, privacy and electronic marketing regulations can place restrictions on prospecting and direct outreach.
Step 7: Deliver, Measure, and Improve
Your first project is an opportunity to learn.
Track the time required, cost of software, number of corrections, customer satisfaction, and final profit.
Request feedback after delivery.
If a workflow repeatedly creates value, consider turning it into a recurring subscription or a standardized product.
How Much Money Could You Make?
There is no reliable universal income figure for Meta Muse businesses, particularly because the product is new.
However, we can illustrate how service-business economics work.
Suppose you offer a competitor research service at $199 per report.
| Reports Sold per Month | Gross Monthly Revenue |
|---|---|
| 2 | $398 |
| 5 | $995 |
| 10 | $1,990 |
| 20 | $3,980 |
These figures are mathematical examples, not earnings predictions. They exclude software costs, taxes, refunds, marketing, client acquisition, and the value of your time.
Your net profit may be considerably lower.
The first milestone should not be $10,000 per month.
It should be finding one customer willing to pay for a useful deliverable.
Once you can repeat that result profitably, you have the beginnings of a sustainable business.
What Does It Cost to Start?
Meta currently offers Muse with a limited free tier and paid subscription options.
Exact access and pricing should be checked through the official service, because offerings can change or differ by region.
An AI-assisted service business may also require:
- A website or landing page.
- A professional business email address.
- Document creation tools.
- A payment processor.
- Accounting software.
- Appropriate data protection and business arrangements.
You can begin by testing demand with a modest budget.
A developer building a production connector or SaaS application will need to account for hosting, development, monitoring, security, and customer support costs.
Important Risks and Limitations
AI agents can save time, but they introduce operational and security risks.
Accuracy: Agents can misinterpret instructions, produce incorrect details, or rely on unreliable information.
Privacy: Connected agents may have access to sensitive information. Grant only necessary permissions and obtain proper authorization before processing client or third-party data.
External access: Some websites restrict automated access. An agent’s technical ability to open a website does not automatically mean automated collection or interaction is permitted.
Unexpected actions: Automated messages, purchases, and disclosures should be subject to meaningful approval and monitoring.
Platform dependency: Your business may be affected by changes to Muse integrations, pricing, policies, or availability.
Customer expectations: AI-assisted delivery still requires clear contracts, quality control, and accountability.
For these reasons, beginners should favor workflows that can be reviewed before anything is sent, purchased, published, or shared.
Frequently Asked Questions
Can you really make money with Meta Muse?
Potentially, yes. Muse can support workflows used in paid services, but it does not automatically generate income. You need a business model, customers, a valuable deliverable, and an economically sustainable process.
Is Meta Muse free?
Meta offers a free tier with usage limits and paid subscription options. Verify current prices and regional availability directly through Meta.
Do I need programming skills?
Not for every business model. Research services, workflow planning, and some administrative tasks can be explored without programming. Creating custom connectors or SaaS applications generally requires software development skills.
Can I use Meta Muse for lead generation?
Muse may assist with authorized research and information organization. Whether a specific lead generation workflow is permissible depends on data access, consent, marketing laws, and applicable platform policies.
Can I sell Meta Muse connectors?
Developers can build integrations under Meta’s connector framework. Commercial distribution and monetization require reviewing applicable terms, technical requirements, and any approval processes. Do not assume every connector can be listed or sold directly.
What is the easiest business to start?
A specialized research or reporting service is a reasonable starting point. You can prepare sample deliverables, validate demand, and refine the workflow before developing software.
How long does it take to make money?
There is no guaranteed timeline. Finding customers and validating the offer often matter more than the speed of the underlying AI workflow.
Is Meta Muse better than ChatGPT for business?
That depends on the specific task, available integrations, control requirements, and product availability. Both AI ecosystems can support business workflows, but comparisons should be based on direct testing rather than assumptions.
Final Thoughts: Start With a Problem, Not the Technology
Meta Muse represents another step toward AI agents that can perform real tasks across digital systems.
For entrepreneurs, the opportunity is not simply faster content generation.
It is the possibility of offering useful services, building specialized integrations, and reducing the cost of delivering repeatable business outcomes.
However, the most successful approach is likely to begin with a customer problem.
Choose a narrow market, identify a task worth paying for, test a workflow carefully, and create a deliverable that solves the problem.
Start small, measure your results, and expand only when customers demonstrate genuine demand.
Your first objective is not to make a fortune with AI. It is to create one service that someone is willing to pay for.
That’s the philosophy behind Agent Income Lab.
Official Sources and Further Reading
- Meta — Introducing Muse: The World’s First Personal AI Agent Built for Everyone
- Meta — Muse for Small Business
- Meta — Official Muse Website
- Meta — Muse Connector Terms
Editorial disclosure: Agent Income Lab is an independent educational website and is not affiliated with, sponsored by, or endorsed by Meta. Business examples and prices in this article are illustrative. Results vary, and no income is guaranteed.