The honest version
ManyChat is the leading no-code builder for marketing automations on Instagram, WhatsApp, and Messenger. The team built a credible product around a clear use case: small businesses want to automate marketing flows (welcome sequences, abandoned-cart messages, broadcast campaigns) without writing code or hiring a developer. ManyChat does this well.
The use case is different from what Ajeris does. Ajeris is an AI agent that responds to inbound conversations in real time, with the full flexibility of a frontier model and access to your real tools. The product shapes are not in tension; they cover different jobs.
The two shapes, explained simply
Flow-based marketing automation (ManyChat). A subscriber takes an action (comments on a post, opens a link, abandons a cart). A flow you drew in advance fires. The flow sends a sequence of pre-written messages, conditional on subscriber properties. This is excellent for campaigns and broadcasts; it scales to thousands of subscribers.
Real-time AI agent (Ajeris). A customer texts your business at 11pm. The agent reads the message, looks up the customer record, checks the calendar, replies with the booking confirmation, sends an invoice, sets a follow-up reminder. The agent is not following a pre-drawn flow; it is reasoning in real time, with tools.
Both are valuable. The right pick depends on whether your dominant use case is "broadcast pre-drawn flows to many subscribers" (ManyChat) or "respond intelligently to inbound conversations from customers" (Ajeris).
Three switch stories
The salon owner who used ManyChat for Instagram. Loved the comment-to-DM funnel. Realized she also needed an inbound voice line that answered booking calls in her voice. ManyChat does not do voice; she added Ajeris for the inbound conversation layer. Kept ManyChat for the campaign side; the two coexist.
The HVAC company that needed real reasoning. Was using ManyChat to handle inbound SMS with rule-based flows. Customers asked questions the flow could not answer (specific service availability for specific addresses, complex scheduling negotiations). The owner wanted the agent to reason rather than route. Migrated the inbound side to Ajeris; kept ManyChat for occasional broadcasts.
The lawyer who wanted memory. Wanted the agent to remember every conversation a client had with the firm. ManyChat's tag-based memory was the wrong shape; the lawyer needed durable per-customer memory. Switched the inbound layer to Ajeris.
What ManyChat does better
Three things, deliberate ManyChat design choices:
- Marketing campaigns. Broadcast to thousands; rule-based flows; segmentation. Excellent.
- Visual flow editor. Non-engineers can build complex sequences without code.
- Subscriber list management. Tags, segments, custom fields, lifecycle stages.
If your dominant use case is "broadcast pre-drawn flows to many subscribers," ManyChat is the right pick. We are not trying to compete here.
What Ajeris does better
The places we win are inbound and conversational:
- Real-time AI agent. Free-form reasoning, not flow-based routing.
- A real phone number. Voice receptionist that answers in your cloned voice.
- 21 OAuth integrations on the personal side. Bring your own MCP for the rest.
- Per-user durable memory. The agent remembers customers across calls and channels.
- 5-minute setup. No flow drawing.
- Personal agent. Same product family covers your own life.
How to decide
Pick ManyChat if your dominant use case is marketing campaigns and rule-based flows. Pick Ajeris if your dominant use case is inbound conversational AI with real-time reasoning. Many businesses have both needs; the two products are not in tension.
Try Ajeris free. Text +1 (470) 821 4265.
