Zivvo vs ManyChat

No — Meta forbids unsolicited outbound DMs from automation tools (24-hour window rule). Zivvo is inbound-only by design. ManyChat technically does outbound but you are relying on tagged contacts and the user-initiated 24h window.

Probably yes — they are investing. But adding an AI step inside a pre-built chatbot flow is very different from building the whole tool around AI. It's easier to start with AI that sticks to your real info than to bolt that on later.

Yes. ManyChat for outbound DM marketing, Zivvo for reliable inbound customer support. They do not step on each other if your flows hand off correctly. Most overlap is on Instagram and Messenger; we recommend Zivvo as default and ManyChat for specific lead-gen campaigns.

ManyChat Pro starts at $15/mo for the entry tier but scales with contacts (1k, 10k, etc.). Zivvo is £29/mo flat for 1,500 credits regardless of contact list size. If you have 50k contacts but only chat with a few hundred a month, Zivvo is cheaper. If you broadcast to 50k people, ManyChat is built for that.

ManyChat has e-commerce + lead-gen as its sweet spot. For service businesses (salons, restaurants, clinics) where customers ask "are you open?" or "do you take walk-ins?" the conversational AI is a better fit than flow scripts. We have several restaurants who migrated from ManyChat after their first month for this reason.

ManyChat has email and SMS as adjacent channels but the product is built around Instagram/Messenger. Web chat is not a first-class surface. Zivvo treats email, web chat, WhatsApp, Instagram and Messenger as equal first-class channels.

Both tools support Instagram comment auto-reply. ManyChat triggers a DM when someone comments a keyword on your post (classic lead-gen flow). Zivvo reads the actual comment, decides whether to reply publicly or DM, and stays based on your business info rather than firing a fixed flow.

No. There is no flow builder in Zivvo — the AI decides the next step from context. You set knowledge, brand voice, and escalation rules; the model handles the conversation. This is good if you find ManyChat's flowcharts hard to maintain; it is the wrong fit if you specifically want flow logic.

Zivvo auto-detects and replies in 15+ languages out of the box. ManyChat supports multilingual flows but you have to build them per language. For polyglot audiences, Zivvo's detect-and-reply approach scales without flow duplication.

There is no direct flow importer — flows do not convert cleanly into the kind of business info an AI reads from. Instead, take the FAQ content embedded in your flows, dump it into a Google Doc, upload to Zivvo. Most migrations take a Saturday afternoon.