BB9 vs. ManyChat: AI DM setter vs. chat automation platform

The short version? ManyChat is a toolkit, BB9 is a managed AI setter system

ManyChat helps businesses build chat automations across channels like Instagram, Messenger, WhatsApp, SMS and comments. It can trigger replies, send links, route users, collect information and now use AI features to answer questions or guide conversations.

BB9 is different. It is not mainly sold as a blank automation builder. It is a managed AI DM setter system built to take inbound sales conversations and move qualified leads toward booked calls.

That is the real split.

ManyChat gives you tools to build a machine for building an email list. BB9 builds and runs the setter function for you to get calls booked.

What ManyChat is built for

ManyChat is built for broad chat automation.

It works well when the task is clear: someone comments a keyword, receives a DM, gets a link, joins a list, answers a few questions or moves through a simple automation. This is a strong use case. Many businesses do not need a full sales conversation... they simply need reliable delivery and basic routing.

That's where ManyChat makes sense, for sure.

A creator says, "Comment GUIDE and I’ll send it to you." ManyChat sends the guide. A store wants to send discount codes. ManyChat can do that. A business wants to capture emails or route basic inquiries. Also a fit.

It is a flexible platform, but the tradeoff is that flexibility usually means someone (usually the business owners or an agency they hired) has to know what to build.

What BB9 is built for

BB9 is built for businesses where the DM is not just a delivery channel. It is the sales conversation before the sales call.

The usual BB9 use case is a high-ticket offer where a lead needs to be qualified, warmed up, handled, followed up with and booked. That could be coaching, online programs, agencies, professional services, fitness, software or really anything where the offer is expensive enough that the leads expect a bit of conversation or discovery.

BB9’s job is not to send the lead a "thing".

Its job is to figure out whether the person should be on the calendar, gather the context needed to make the call feel relevant and then move them there without the founder living in the inbox.

The core difference: automation platform vs. appointment-setting system

Let me say it as simply as I can: ManyChat is a platform. BB9 is a function.

That probably sounds minor, but it changes the whole buying decision.

With ManyChat, the business owner is still responsible for designing the system: flows, AI goals, knowledge, prompts, routing, follow-ups, qualification logic and cleanup when something goes sideways. It's exhausting.

With BB9, the customer is buying the system already designed around appointment setting. The BB9 team learns the business, builds the agent logic, watches where conversations break and updates the system.

A sharp operator could approximate parts of BB9 inside a flexible tool. But they would still have to know how to design a good high-ticket DM setter.

Most business owners do not want another tool to learn and manage. They want result: inbox = handled.

ManyChat’s AI features: what has changed

When I first sat down to write this article, ManyChat was a keyword bot. But that's not true anymore.

It now has AI features such as AI Step, Intention Recognition, AI Replies, AI Goals, and AI Knowledge. These features let users build automations that understand intent, answer questions from a knowledge base and move users toward defined goals.

So the lazy comparison does not work anymore:

“ManyChat is dumb flows. BB9 is AI.”

That would be outdated.

The better comparison is:

ManyChat gives users AI-enabled automation tools. BB9 uses AI to run a specialized appointment-setting process.

One is broad. One is narrow. Narrow is not worse. Narrow is how you get leverage when the job is specific.

Where ManyChat works well

ManyChat is a good fit when the conversation is predictable.

Examples:

• comment-to-DM campaigns
• lead magnet delivery
• coupon or link delivery
• simple routing
• basic FAQs
• list building
• ecommerce promotions
• low-friction creator funnels

If the user comments "PRICE" and the goal is to send a product link, ManyChat is a natural fit. Its own comment-to-DM use case is built around turning Instagram comments into automated DM conversations.

BB9 would often be overkill there.

Not every inbox needs a sales agent. Sometimes it just needs a clean automation that sits there day after day.

Where ManyChat starts to become operator-heavy

ManyChat becomes heavier when the conversation stops being predictable.

The issue is not that ManyChat has no AI. It does. The issue is that the user still has to decide what the automation should do, how it should qualify, how it should recover, what the AI should know, what counts as a good lead, when to pitch the call and (perhaps most difficult) how to fix weak conversations later.

That is where many businesses get stuck and don't know how to move forward.

They do not fail because the tool is useless. They fail because the builder has to understand sales conversation design.

And with the hundreds of ex-ManyChat clients BB9 has worked with - the more expensive the offer, the more this matters.

Why high-ticket DMs need more than automation tools

High-ticket DMs are messy.

People ask price too early. They send long emotional explanations. They change subjects. They answer three questions at once. They joke. They test the business. They come back days later. They send screenshots. They send voice notes. They want reassurance before they commit to a call.

It can be brutal for even hired human setters.

A simple automation can handle clean inputs. A high-ticket DM setter has to handle human inputs, which are notoriously tough to quantify for a tool to do automatically.

This is where BB9 is built differently. It is not trying to walk every lead through the same ritual. It is trying to collect the missing context needed to make a relevant pitch for the call.

Qualification: configured flows vs. pitch-first conversation design

ManyChat can be configured to collect information. It can ask questions, set fields, recognize intents and move people through an automation.

BB9’s qualification logic is more specific. It is built around what we call a "pitch-first model".

Originally this whole concept came from trying to teach human setters what to do when they get stuck. The concept is that the system knows the call pitch it eventually wants to make, then it works backwards to gather the missing pieces needed to make that pitch land.

Usually those pieces are:

• current situation
• struggle
• goal
• what the lead has already tried

If a lead gives all of that in one long message, BB9 should not keep asking the next question just because the script says so. It can skip forward.

That is a major difference between "asking questions" and "qualifying for a call".

Objection handling: AI assistance vs. specialized sales logic

ManyChat's AI features can answer questions and guide users from a knowledge base. That is useful.

BB9's objection handling is narrower and more sales-specific. It is built around the objections that show up before a high-ticket call: price, timing, skepticism, uncertainty, "I need to think about it", "how does this work", "is this for me", and similar human friction.

But what many people don't get is that the point is not to win a debate in the inbox! The point is to keep the conversation moving toward a useful next step.

Sometimes that means answering directly. Sometimes it means giving a range. Sometimes it means deflecting price until fit is clearer. Sometimes it means disqualifying the lead and offering them a downsell.

Good objection handling is not one magic reply. It is knowing what kind of moment you are in.

Follow-up: sequences vs. conversation-aware sales follow-up

ManyChat can run sequences and follow-up automations. That is part of what makes it useful.

The question is what the follow-up is based on.

A weak follow-up says:

"hEy, jUsT BumPiNG tHiS"

That is better than nothing, I guess, but not by much.

A sales-aware follow-up uses the actual conversation:

"You mentioned you wanted to drop the weight by Christmas. Is that still something you want handled?"

That kind of follow-up feels different because it is tied to the lead’s own words. It reminds them why they started the conversation in the first place, which can cut through the noise of every day life and remind them of who they wanted to be (and the emotional state they were in) when they reached out at first.

BB9’s follow-up advantage is not merely timing. It is context.

Booking calls: sending links vs. creating intent for the call

Sending a calendar link is easy, even Instagram's Saved Replies can do that pretty well. Getting someone to actually WANT the call is the hard part.

A lot of automations pitch-slap the lead. The person comments, gets a DM, answers one question and suddenly receives a booking link. It's so aggressive and, in our data, turns off all the top quality leads. Technically the system "asked for the call". Psychologically, nothing was built with the lead so you get ghosting and low quality bookings.

BB9 is designed to create the reason for the call first and make the call logical as a step to fix the problem.

The system gathers context, mirrors the problem back, shows why the call is relevant and then offers the next step.

The difference is subtle, but it matters so so much.

A booking link without intent is just a link. A booking link after a relevant pitch feels like a solution.

Architecture: one automation builder vs. specialized agent stack

ManyChat gives users a builder.

BB9 uses a more specialized agent stack.

That can include agents for sales conversation, booking, disqualification, response delay, vision, voice transcription and client-specific product knowledge. The point is to avoid one giant prompt trying to do everything.

One big prompt eventually becomes soup. It gets too many instructions, too many exceptions, too many edge cases, and too much product knowledge. Then it starts drifting.

Splitting the work into specialized agents keeps the system cleaner. One agent can focus on sales logic. Another can watch for disqualification. Another can manage delay. Another can handle voice or image inputs.

That is not just a technical flex. It changes reliability.

Human oversight: DIY optimization vs. managed transcript review

This may be the least glamorous difference, but I feel that it's one of the most important.

BB9 is not sold as "set it and forget it". That fantasy burns people (and their businesses).

The system needs oversight. Conversations need to be reviewed. Corner cases need to be caught. If leads keep getting confused at the same point, the system needs a better instruction. If a branch of leads behaves differently, sometimes it needs a new agent or a new rule.

With ManyChat, that optimization burden usually sits with the customer or their automation person.

With BB9, the optimization loop is part of the service.

That is the managed-service advantage: not just building the first version, but tightening it after real leads start behaving strangely. And they will.

Comparison table: BB9 vs. ManyChat

When to use ManyChat instead of BB9

Use ManyChat when the job is simple and the business wants control over the automation.

ManyChat is usually the better fit for:

• sending lead magnets
• delivering links from comments
• collecting emails
• simple ecommerce campaigns
• coupon delivery
• basic FAQs or customer support
• low-ticket offers
• simple creator funnels

If the goal is "comment this word and get this thing", ManyChat is probably the cleaner choice.

BB9 is not needed for every inbox.

When to use BB9 instead of ManyChat

Use BB9 when the inbox is part of the sales process and the business does not want to build or manage that process manually.

BB9 is usually the better fit when:

• the offer is high-ticket
• the business relies on booked calls
• DMs require real qualification
• leads ask messy questions
• follow-up quality matters
• the founder is tired of living in the inbox
• the team has outgrown human setters
• volume spikes from ads, reels, or launches
• the business wants the system built and managed for them

BB9 makes the most sense when the conversation itself affects revenue.

If the wrong people get booked, sales wastes time. If good leads are mishandled, money leaks. If follow-up is generic, intent dies.

That is the zone where a managed AI setter system becomes valuable.

When to use ManyChat and BB9 together

Some clients of BB9 have found there's a secret to crazy inbox coverage AND finding a calendar full of booked calls: ManyChat and BB9 often work best as a handoff system.

ManyChat handles the broad top-of-funnel work: comment-to-DM, keyword triggers, lead magnet delivery, email capture, and simple routing. BB9 takes over when someone shows real buying intent and gives them that "high touch" conversation, pushing them towards booking a call.

This is especially useful for businesses with lots of tire kickers but a few serious buyers hidden in the pile.

Example: ManyChat sends a free guide to everyone who comments "PLAN." Most people only wanted the free thing. But if someone replies with a real problem, asks about coaching, or gives buying signals, BB9 can step in, qualify them, and move them toward a call.

ManyChat catches the crowd. BB9 works the serious conversations.

Final takeaway

ManyChat and BB9 are not really the same kind of product.

ManyChat is a strong chat automation platform with growing AI features. It is useful when a business wants flexible tools for DMs, comments, links, routing and broad automation.

BB9 is a managed AI DM setter system for businesses that want high-ticket inbound conversations turned into qualified booked calls.

The difference is not "old chatbot vs. AI".

The difference is:

ManyChat helps you build automations.

BB9 runs the appointment-setting layer for you.

‍