7 Best Facebook Chatbots & AI Agents for Messenger in 2026

Facebook chatbot software now covers two different jobs. Some platforms automate Messenger campaigns, lead capture, ads, comments, and structured conversation flows. Others use generative AI to answer open-ended questions, work from company knowledge, complete support tasks, and hand difficult conversations to a person.

That distinction matters when choosing a platform. A business that wants to turn Facebook comments and ad clicks into leads needs different features from a support team that wants an AI agent to resolve customer questions in Messenger.

Compare Facebook Chatbots for Messenger

Below are seven of the best Facebook chatbots and AI agents for Messenger in 2026. The comparison focuses on what each platform is actually built to do, where it fits, and what to check before connecting it to a Facebook Page.

What is a Facebook AI Agent?

A Facebook chatbot is software connected to a Facebook Page that can automatically handle conversations through Facebook Messenger.

Not every Facebook chatbot works the same way. Traditional Messenger bots rely on rules, triggers, buttons, keywords, and predefined conversation paths. They are useful when the interaction is predictable, such as collecting a lead, sharing an offer, answering a fixed FAQ, or routing someone to the right next step.

A Facebook AI agent can handle less predictable conversations. Instead of requiring the customer to follow an exact path, it can interpret an open-ended request and respond using its instructions, business knowledge, and connected tools.

For example, a traditional bot might offer three options:

• Track my order
• View products
• Contact support

An AI agent can handle a message such as: "I ordered the blue version last week and need it before Friday. Can you tell me where it is?"

The agent still needs boundaries. It should know what information it can use, what actions it can perform, and when a person needs to take over.

The line between chatbot and AI agent is also getting less rigid. Marketing platforms have added generative AI, while AI-agent platforms can run structured actions and workflows. If you want a deeper breakdown, see AI chatbot vs AI agent.

Why Use a Facebook AI Agent?

Facebook Messenger is already a direct contact channel between customers and businesses. Automation becomes useful when the number or variety of conversations makes manual replies slow, repetitive, or difficult to scale.

Answer routine questions when they arrive

Customers repeatedly ask about shipping, returns, availability, pricing, bookings, product details, account policies, and troubleshooting.

A support-focused AI agent can answer those questions from approved business information instead of asking a person to type the same response each time. The quality of that answer depends on the knowledge available to the agent, so current and well-structured source material matters.

Cover conversations outside staffed hours

A Messenger AI agent can remain available when the support team is offline. This is useful for companies with customers across time zones or businesses that receive questions after normal operating hours.

The agent should not pretend a human team is online. If the request needs a person, it should explain that clearly and move the conversation into the correct handoff path.

Handle open-ended customer questions

Rule-based bots work best when the business can predict the path. Customer support is often less predictable.

A customer may combine several issues in one message, use different wording from the help center, misspell a product name, or ask a follow-up that was never included in a flow. AI agents are better suited to this kind of language because they can interpret intent instead of waiting for an exact keyword.

Qualify leads inside Messenger

Facebook conversations can also start before a prospect is ready to fill in a form.

A chatbot can ask qualifying questions, collect contact details, and direct stronger leads toward the next step. Marketing-first platforms tend to give businesses more control over structured funnels, while AI agents are useful when qualification starts with an open question.

For a broader view of this workflow, see how AI lead generation can combine qualification, data collection, and routing.

Make human handoff part of the workflow

Good automation needs a clear stopping point.

A customer may ask for a person, repeat an unresolved question, raise an account-specific issue, or enter an area where the AI should not make the final decision. A useful Facebook chatbot recognizes those cases and transfers the conversation with enough context for the human team to continue.

Do more than send text replies

Modern AI agents can interact with connected systems instead of only answering questions.

Depending on the platform and integrations, an agent may collect structured information, look up product or order data, create a ticket, qualify a lead, trigger a workflow, or complete another approved action.

Chatbase is a platform for customer-facing AI agents that can use company knowledge, Actions, Procedures, human support, analytics, and multiple deployment channels.

How to Create a Facebook Messenger AI Agent

You do not have to build directly against Meta's APIs to create a Facebook Messenger chatbot. Most businesses can connect a Facebook Page through a chatbot or AI-agent platform.

Developer teams can still use a Meta app, Messenger API configuration, webhooks, and access tokens when they need more control.

Step 1: Choose the right Facebook chatbot platform

Start with the job the bot needs to perform.

For marketing automation, look for Messenger campaigns, comment automations, lead capture, broadcasts, ad entry points, tags, segmentation, and structured flows.

For customer support, prioritize knowledge-based answers, open-ended AI conversations, human handoff, conversation history, analytics, and integrations with the rest of your support tools.

For custom development, look for API access, webhooks, developer tooling, custom integrations, and control over the underlying Messenger connection.

If you are still comparing categories, the best chatbot software roundup covers broader chatbot options, while AI agent builders focuses on platforms designed for more autonomous workflows.

Step 2: Connect your Facebook Page

The platform needs permission to receive and respond to messages sent to your Facebook Page.

The exact flow varies by provider, but it normally involves signing in with the Facebook account that can manage the Page, choosing the correct Page, reviewing the requested permissions, and completing the connection.

How the Chatbase Facebook Messenger integration works

Chatbase has a native Messenger integration. From an agent, open Deploy, choose Messenger, authorize the connection, and select the Facebook Page or Pages you want that agent to handle.

You can connect different Chatbase agents to different Facebook Pages. That is useful when a company runs separate brands, regions, or business units that need different knowledge and instructions.

The integration also supports conversation-level human takeover. A person can stop the AI from replying to a specific Messenger conversation and respond directly instead.

See the Chatbase Messenger setup documentation for the current connection steps.

Step 3: Add the knowledge the agent needs

A support-focused Facebook AI chatbot needs reliable business information.

Start with material customers actually ask about:

• product and service information
• shipping and return policies
• account and billing help
• FAQs
• troubleshooting documentation
• opening hours and locations
• booking information
• current company policies

Do not add content simply because it exists. The knowledge available to the agent should match the conversations it is expected to handle.

If you are building the underlying agent before connecting Messenger, build an AI chatbot covers the broader setup process.

Step 4: Define the agent's behavior and boundaries

Knowledge tells the agent what information it can use. Instructions tell it how it should behave.

Define the job clearly. A customer-support agent may be allowed to explain policies and answer product questions, but it may need to escalate account-security requests or refund approvals.

Avoid trying to script every possible sentence. Give the agent clear boundaries, escalation rules, tone guidance, and instructions for what to do when the available knowledge is not enough.

For tasks that must happen in a consistent order, use structured workflows rather than relying on the model to invent the process.

Chatbase supports Actions for interacting with connected systems and Procedures for step-by-step workflows written in plain language. Procedures are available to all users as of August 2026.

Step 5: Configure human escalation

Decide what should happen when automation needs to stop.

Common escalation conditions include:

• the customer explicitly asks for a person
• the agent cannot answer with enough confidence
• the same issue remains unresolved
• the request requires human approval
• the conversation involves a sensitive or high-risk decision

For support teams, escalation should be designed before launch, not added after users get stuck.

Chatbase can hand Messenger conversations to a person through its human takeover flow. Its broader support tools also include Helpdesk and ticket creation workflows for cases that need follow-up.

Step 6: Configure Messenger-specific entry points

Messenger platforms differ sharply here.

Marketing tools may support entry points from Facebook comments, posts, ads, referral links, or campaigns. Support platforms may focus more heavily on private messages sent directly to the Page.

Do not assume every Facebook chatbot platform supports comment-to-DM automation, broadcasts, ad flows, rich cards, or the same outbound messaging options.

Build around the current capabilities of the platform you choose.

Step 7: Test real customer behavior

Do not test only the questions used while building the agent.

Try:

• short and vague requests
• spelling mistakes
• two questions in one message
• questions outside the knowledge base
• requests that should trigger a human handoff
• conflicting or outdated information
• unexpected follow-up questions
• files and voice messages if you plan to accept them

Chatbase currently supports PDF, PNG, JPG, and JPEG attachments in Facebook Messenger. Messenger users can also send voice notes to a Chatbase agent.

Those formats are useful for support. A customer can send a screenshot of an error or a photo of a product instead of trying to describe it in text.

Step 8: Launch, review, and improve

Publishing is the start of the feedback loop.

Review real conversations to find questions the chatbot answers poorly, topics it cannot answer, unnecessary escalations, and places where users stop responding.

Then update the knowledge, instructions, workflows, or handoff rules based on what customers actually do.

A Facebook AI agent should improve because the team learns from conversations, not because the model is expected to fix every problem by itself.

Top Facebook Messenger AI Agent Platforms

The seven best Facebook chatbots below are not interchangeable. Some are built for customer service using company knowledge and omnichannel AI agents that can scale from growing teams to enterprise use. Others are stronger for Messenger marketing, lead generation, multichannel messaging, or custom development.

The right choice depends on what happens after someone messages your Page.

1. Chatbase: Best for omnichannel AI agents that scale to enterprise

Chatbase fits teams that want Messenger to work as one part of a broader customer service operation, not mainly as a campaign builder. Growing teams can use the same AI agent across channels and add more advanced workflows as volume increases, while larger organizations can layer on governance, access controls, and enterprise requirements.

Messenger is one layer of the agent: A Chatbase AI agent can connect directly to Facebook Pages, answer Messenger conversations using company knowledge, and let a human take over a specific conversation when needed. Different agents can also be assigned to different Pages.

The same customer-facing agent can use business knowledge, Actions, Procedures, Helpdesk, analytics, and other capabilities across a wider service operation. Messenger also supports file and image attachments, and customers can send voice notes to the agent.

For ecommerce teams, Chatbase's Shopify integration adds another useful layer. Product lookup works across Messenger, Instagram, and WhatsApp, so a connected agent can return product information inside those conversations when the Shopify workflow is configured.

Where it scales beyond a Facebook bot: Chatbase makes more sense when the buying question is not only, "Can this reply in Messenger?" but also, "Can the same agent work across channels, take approved actions, hand off cleanly, and remain manageable as the team grows?"

Self-serve plans let smaller and growing teams start without an enterprise sales process. Chatbase Hobby is $40 per month, or $32 per month billed annually. Larger organizations can add SAML SSO, custom role-based access control, audit logs, SLAs, and flexible enterprise billing. Review Chatbase pricing for self-serve tiers or Chatbase Enterprise when governance and scale become part of the buying decision. Teams comparing those requirements across vendors can also use this enterprise support software.

Chatbase is less focused on creator-style social funnels, comment growth tactics, or campaign-heavy Messenger marketing. ManyChat and Chatfuel put more product depth into those workflows.

2. ManyChat: Best for Messenger marketing automation

ManyChat remains one of the strongest Facebook chatbot platforms when Messenger is primarily a marketing and audience-engagement channel.

Where it earns its place: ManyChat can build automations, reply to comments, collect contact information, segment audiences, manage conversations in an inbox, and guide users through structured flows. Higher tiers add broadcasts and more advanced automation, while its AI features can use business information and tone guidance to answer FAQs and move conversations toward a defined goal.

That social-automation focus makes it especially relevant for creators, marketers, ecommerce brands, and businesses that generate demand through Meta channels.

What it costs as you grow: ManyChat's 2026 model uses Active Contacts rather than the older cumulative-contact model. Pro starts at $29 per month when billed annually and includes AI-powered conversations, including AI replies in DMs and comments. Cost increases as the number of active contacts grows.

If your main goal is comment automation, lead funnels, Messenger campaigns, and social engagement, ManyChat deserves a close look. If your main need is a broader service operation with deeper handoff, knowledge, and workflow requirements, compare those capabilities separately.

3. Chatfuel: Best for Facebook lead and sales automation

Chatfuel is another Meta-focused platform with automation across Facebook, Instagram, and WhatsApp.

Built for Facebook and Instagram sales: Its Facebook tools cover Messenger replies, comment automation, FAQ flows, bookings, lead qualification, sequences, promotions, and other sales-oriented interactions. Its AI Pro tier adds an AI sales manager, AI knowledge base, AI-powered automation, broadcasts, and lead-qualification funnels.

Best when leads start on Facebook: Chatfuel makes the most sense when ads, lead capture, qualification, and follow-up need to work together inside Meta channels. Its AI Pro tier is listed at $49 per month.

A service organization that needs a broader helpdesk, deeper knowledge operations, and more complex service workflows may prefer a platform built around those requirements rather than a Meta-first sales funnel.

4. Botpress: Best for custom Facebook Messenger AI agents

Botpress gives technical teams more control over how a Messenger AI agent is built and connected.

For teams that need more control: Its official Messenger and Facebook integration lets a published bot communicate with users who message a Facebook Page. Teams can use the standard authorization flow or configure their own Meta app for more advanced setups.

The manual path exposes the pieces developers expect: the Meta app, Messenger API, Page access token, Page ID, webhook URL, verification token, and webhook subscriptions. Botpress also documents the feed webhook field for Facebook Page comment events.

The downside: it takes more setup: That control is valuable when the Facebook agent is part of a larger application or needs custom logic beyond a standard no-code deployment. A business that only wants to connect a Page, add company knowledge, and start answering questions may not need that level of setup. Botpress has a free plan, while Plus starts at $150 per month when billed annually.

If Botpress is on your shortlist but the build model feels heavier than you need, compare the Botpress alternatives before choosing the platform.

5. Tidio: Best for smaller support teams managing Messenger

Tidio combines live customer communication, automation, and its Lyro AI Agent in one support platform.

Simple for smaller support teams: Its Messenger integration can connect multiple Facebook Pages to one Tidio project, bringing incoming Messenger conversations into the same workspace used by the support team. Lyro can also be enabled for Messenger.

Tidio separates Lyro from its rule-based Flows product. Flows follow predefined paths, while Lyro uses support content and natural-language understanding to answer less predictable questions.

Where it makes sense: The combination suits smaller and midsize businesses that still expect humans to handle part of the Messenger workload but want AI to reduce repetitive service work. Lyro starts at $32.50 per month.

Tidio is less attractive if your priority is sophisticated Facebook marketing funnels or a highly customized developer environment. Teams comparing it mainly for AI-driven service can also review these Tidio alternatives.

6. Respond.io: Best for omnichannel messaging teams

Respond.io is built for businesses that manage conversations across several messaging channels rather than treating Facebook Messenger as a standalone bot.

When Messenger is one inbox among many: Its Facebook Messenger integration brings Page messages into a shared team inbox. Respond.io also supports AI Agents for Messenger, along with workflows, campaigns, broadcasts, CRM connections, team supervision, and reporting.

The platform is a stronger fit when Messenger sits beside WhatsApp, Instagram, website chat, email, or other channels and the company wants to manage them in one place. Teams evaluating that wider category can compare the trade-offs in this omnichannel support.

Worth it when you need several channels: Respond.io includes AI Agents from the Growth plan, which starts at $159 per month when billed annually. That price makes more sense for teams that already need multichannel routing, automation, and collaboration than for a business looking for a simple Facebook bot.

7. ChatBot.com: Best for AI service and sales on Messenger

ChatBot.com, part of Text, offers a direct Facebook Messenger integration with its AI Agent.

Simple AI setup for Messenger: The agent can use company content as knowledge, handle customer questions, collect leads, support sales conversations, and hand chats to humans. Messenger is included alongside other channels in the wider Text customer-service environment.

Check the Facebook-specific limits: ChatBot.com documents Messenger-specific differences, so some interaction features do not behave the same way as they do in the web chatbot. Teams should test the actual Facebook experience instead of assuming feature parity across channels.

ChatBot.com is a credible choice for businesses that want a knowledge-based AI chatbot tied into a service and sales environment. It is not as Facebook-marketing-focused as ManyChat or Chatfuel, and it offers less developer-level control than Botpress. Its Essential plan starts at $19 per user per month when billed annually.

Facebook Chatbot vs Facebook AI Agent: What's the Difference?

A Facebook AI agent is a type of Facebook chatbot, but not every Facebook chatbot is an AI agent.

The distinction is useful, but modern platforms increasingly combine both approaches.

ManyChat and Chatfuel add AI to products with strong automation roots. Chatbase starts from the customer-facing AI-agent side but can still run structured Actions and Procedures. Botpress lets developers combine generative AI with custom workflows.

The better question is how predictable your conversations are.

If most users should move through a known funnel, structured automation gives you control. If customers ask questions in their own words and expect the system to understand context, an AI agent is usually a better foundation.

Which Facebook Chatbot Is Best for Your Use Case?

Choosing the best chatbot for Facebook starts with the job, not the feature count.

For omnichannel customer service that needs room to scale, prioritize knowledge quality, open-ended answers, governed actions, human escalation, analytics, and integration with the rest of the service stack. Chatbase fits that model from growing teams through enterprise deployments.

For Messenger marketing and social growth, ManyChat has deeper campaign and automation tooling.

For Meta-focused lead and sales funnels, Chatfuel is a strong fit.

For custom development, Botpress gives engineers more control over the Messenger integration and agent logic.

For smaller support teams, Tidio combines Messenger, live support, automation, and AI in one workspace.

For teams using several messaging channels, Respond.io is designed to manage Messenger alongside other channels, workflows, and human teams.

For AI support and sales inside the Text ecosystem, ChatBot.com gives teams another direct Messenger option.

If your shortlist still spans several categories, compare the broader best AI chatbots to separate marketing bots, support chatbots, and AI-agent platforms before evaluating individual features.

Best Practices for Facebook AI Agents

Give the agent a specific job

"Answer everything" is not a useful instruction.

Decide what the agent is responsible for and where its authority ends. A support agent might explain product features and return policies while escalating refunds that require account access or approval.

Clear boundaries make automation safer and handoff easier.

People message you for help, not to get pitched. If you want a faster way to manage replies, drafts, and routine tasks across channels, an AI assistant for social media can keep the work moving without adding extra steps.

Use information customers actually need

An agent does not become better simply because it has more training material.

Prioritize current product documentation, support articles, policies, FAQs, and other sources that answer real Messenger questions. Remove stale material and fix conflicting information before it becomes an answer.

Make human escalation easy

Users should not need to argue with a bot before reaching a person.

Define the conditions that require escalation and make the transition clear. If a human takes over, pass enough conversation context that the customer does not have to repeat the problem.

For teams using Facebook as a service channel, that handoff belongs inside the wider customer support workflow.

Test uncertainty, not just happy paths

A polished test question proves very little.

Ask ambiguous questions. Try missing information. Test requests outside the agent's role. Use old product names. Ask the agent to make a decision it should escalate.

You are testing whether the system knows when not to answer.

Keep Messenger rules separate from website-chat assumptions

A feature available in a website chat bubble may not work the same way in Facebook Messenger. The same applies to Instagram and WhatsApp.

Check the channel-specific implementation before promising a feature to customers.

Review real conversations after launch

Real conversations expose gaps that pre-launch testing cannot.

Look for repeated unresolved topics, inaccurate answers, unnecessary handoffs, abandoned conversations, and requests that users phrase differently from your documentation.

Those findings should shape the next knowledge, instruction, or workflow update.

Facebook AI Agent Use Cases

Customer support

Customer support is a strong use case for generative AI because customers rarely phrase questions exactly as a help article does.

A Messenger AI agent can answer policy, product, troubleshooting, order, or service questions in natural language and pass unresolved cases to a person.

Messenger can therefore become part of the same support operation as website chat, email, WhatsApp, and other channels rather than remaining a separate social inbox.

Lead generation and qualification

A Facebook conversation often begins before someone is ready to complete a long form.

A chatbot can ask a few qualifying questions, collect contact details, and route the lead according to the answers. Structured automation works especially well when qualification criteria are fixed.

Ecommerce support and product discovery

A Messenger chatbot can help shoppers choose products, answer pre-purchase questions, and support customers after an order.

The actual commerce capabilities depend on the chatbot and ecommerce platform.

With Chatbase's Shopify integration, for example, product lookup works through Messenger, Instagram, and WhatsApp. For more ecommerce-specific workflows, see how an ecommerce chatbot can support product discovery, orders, and customer questions.

Messenger marketing automation

Marketing-focused Facebook chatbots can turn social activity into conversations.

Depending on the platform, that can include automated replies to comments, Messenger campaigns, lead funnels, broadcasts, ad-driven conversations, and follow-up flows.

This is where ManyChat and Chatfuel differ most clearly from support-first AI-agent platforms.

Appointment and demo booking

A chatbot can collect the information needed for a booking or trigger a connected scheduling workflow.

For a service business, the conversation might begin with a question, identify what the customer needs, and offer the appropriate appointment or demo as the next step.

The booking should follow the conversation rather than forcing every Messenger user into the same sales path.

What to Know Before Using a Facebook Messenger Chatbot

Messenger has a 24-hour automation window

Meta's messaging rules limit when businesses can send automated messages after a person's last interaction. For Messenger, the standard automated messaging window is 24 hours after the user's latest interaction.

After that window closes, automated messaging is restricted. Some permitted message types can still be sent outside the standard window, and ManyChat documents a seven-day period for manual Inbox replies.

Do not build a campaign from an old Facebook chatbot tutorial. Check current rules before configuring outbound or re-engagement automation. ManyChat maintains a current Messenger messaging-window reference.

You need the right Facebook Page access

Facebook chatbot platforms connect to Facebook Pages, not ordinary personal profiles.

The person completing the integration needs the required Page permissions. If the correct Page does not appear during setup, check the Facebook account, Page access, and existing business integrations before assuming the chatbot platform is broken.

Multiple connected apps can affect routing

A Page may already be connected to Meta Business Suite or another messaging provider.

When several apps can receive messages, routing and primary-receiver settings matter. Test a real inbound message after setup and confirm that the correct system receives it and that only the intended automation responds.

"Supports Messenger" does not mean feature parity

Two tools can both list Facebook Messenger while supporting very different workflows.

One may handle only private messages. Another may automate comments. Another may support campaigns, AI answers, product cards, attachments, or different forms of human handoff.

Evaluate the Facebook capability you need, not the channel logo on an integrations page.

Customer data still needs controls

A Messenger conversation can contain contact details, account information, uploaded files, order details, and other customer data.

Only collect information needed for the workflow. Use access controls, retention policies, and escalation rules that match the type of data customers may share.

Your workflow depends on Meta's platform

Third-party Facebook chatbot providers operate within Meta's APIs, permissions, and messaging policies.

A Meta policy or API change can affect a workflow even when your chatbot vendor has not changed its own product. Keep business-critical Messenger automations documented and review them when Meta updates channel rules.

Measuring Facebook AI Agent Success

The right metrics depend on what the Facebook chatbot is supposed to accomplish.

For a support agent, useful measures include:

Resolution rate: How often does the conversation reach a useful outcome without unnecessary human intervention?

Handoff rate: How many conversations move from AI to a person, and what causes the handoff?

First-response time: How quickly does the user receive a useful first reply?

Unresolved topics: Which questions repeatedly fail or produce low-confidence answers?

Customer satisfaction: When feedback is collected, how do customers rate the interaction?

For a sales or lead-generation bot, focus more on completion and conversion:

Lead completion rate: How many people who begin qualification finish it?

Qualified leads: How many conversations produce prospects that meet the required criteria?

Booking or conversion rate: How many conversations reach the intended commercial outcome?

Drop-off point: Where do people leave a structured Messenger flow?

Avoid choosing an arbitrary automation percentage as the goal. A chatbot that automates a large share of conversations but gives weak answers is not outperforming an agent that handles fewer conversations correctly and routes difficult cases well.

For a broader measurement framework, see these customer service metrics.

Frequently Asked Questions

What is a Facebook chatbot?

A Facebook chatbot is software connected to a Facebook Page that automatically handles conversations through Facebook Messenger. It may use predefined rules and flows, generative AI, or a combination of both.

How do I connect an AI chatbot to Facebook Messenger?

Choose a platform with Messenger support, connect the Facebook account that manages your Page, authorize the required permissions, select the Page, and assign the AI agent or chatbot that should receive Messenger conversations.

With Chatbase, the connection is managed from the agent's Deploy section through the Messenger integration.

What is the best Facebook chatbot for Messenger in 2026?

The best choice depends on the job. Chatbase fits teams that want omnichannel AI agents that can grow from smaller teams to enterprise use. ManyChat is stronger for Messenger marketing, Chatfuel for Facebook and Instagram sales funnels, Botpress for custom development, Tidio for smaller service teams, Respond.io for teams using several messaging channels, and ChatBot.com for AI support and sales on Messenger.

Does Chatbase integrate with Facebook Messenger?

Yes. Chatbase has a native Facebook Messenger integration for connecting AI agents to Facebook Pages. It supports AI replies, conversation-level human takeover, different agents for different Pages, supported file and image attachments, and voice notes.

Build an AI Agent for Facebook Messenger

A good Facebook chatbot should match the reason customers message your Page.

For campaign-driven conversations, structured automation can be the better tool. For customer support, the harder problem is understanding open-ended questions, using the right business information, taking approved actions, and knowing when a human should step in.

Chatbase lets you build a customer-facing AI agent, connect it to Facebook Messenger, train it on business knowledge, support files and voice notes, and keep human takeover available when the conversation needs a person.

Create your AI agent and connect it to Facebook Messenger when you are ready.

Already have a Chatbase account? Sign in to connect or manage your agent.