6 Best Voiceflow Alternatives for Marketing-Owned AI Agents (2026)

Searches for Voiceflow alternatives tend to start with a question the vendor's own website no longer answers: what does it cost? Voiceflow hasn't published plan prices since 2025, it now runs two tracks: Agencies & Partners and Businesses. The second trigger is quieter but runs deeper: Voiceflow is an agent-design platform built for teams whose product is the agent, and when the person who actually needs the bot is a marketer with a lead target, every change routes through whoever owns the canvas.

This list compares six alternatives through one lens: marketing-owned AI agents for lead generation on the website and WhatsApp — agents the team accountable for pipeline can build, change, and measure. The short verdict: choose Landbot if marketing should own the agent end to end; choose Botpress or Rasa if the agent is engineering's product and code-level control is the point.

Key Takeaways

• Voiceflow's pricing page offers two tracks — Agencies & Partners and Businesses — with no public numbers on either.
• For marketing-owned lead generation on web and WhatsApp, published pricing matters as much as the AI: Landbot starts at €40/month with flat tiers, Botpress and Chatbase publish theirs too, and only Voiceflow, Stack AI, and Rasa require a sales call to get a number.
• Nothing on this list is free at production volume: Botpress, Chatbase, Stack AI, and Tidio cap their free plans low, and Landbot's free Sandbox (100 chats/month) is for testing — pick two finalists and compare cost per qualified lead over two weeks instead of trusting any list, including this one.
• Developer platforms — Voiceflow, Botpress, Rasa — are the right instrument when the agent is software owned by engineering, and the wrong one when campaigns have to change weekly without a ticket.

Why Teams Leave Voiceflow: The Price You Can't Find on the Page

There's no price on the pricing page. Since 2025, Voiceflow hasn't listed plan numbers at all. It shows two tracks: Agencies & Partners and Businesses.

The meter is credits, and the meter is the bill. Paid plans combine a plan fee, add-ons such as extra editor seats and phone numbers, and credits — the usage currency consumed every time an agent generates an AI response or handles a call, with heavier models consuming more. When the allotment runs low, you upgrade, buy a bundle, or enable auto top-ups. It's a coherent model for agent teams; it's also a bill that scales with variables a marketing budget owner can't see in advance.

The practical consequence is a budgeting problem. To put Voiceflow in next quarter's budget, you either book a sales call or run a metered month and find out. Neither is a scandal — enterprise software gets bought this way — but it's a real switching trigger for teams that used to self-serve at $60, and it's the single most common thread in why people search for alternatives. When a tool's cost can't be estimated from its public page, the uncertainty itself becomes the cost.

None of this makes Voiceflow weak. Its collaborative canvas, versioned environments, model-agnostic setup, and observability suite are the strongest design-led workflow in the category, with SOC 2 compliance published. The question is narrower: is an agent-design platform the right tool when the job is lead generation that marketing has to run (and re-run) every week?

Voiceflow Alternatives at a Glance

Here's how the six Voiceflow competitors compare on the dimensions that matter most when switching: whether the entry price is published and what it includes, what the usage unit is and what happens at the cap, how much you can build and change without a developer, which channels are native, and whether you can start free.

Landbot leads this list because the lens is marketing ownership — published pricing, no-code editing, and native web + WhatsApp in one canvas — not because it wins on every dimension. Flip to Stack AI for enterprise back-office work or Botpress for a developer-first build; both rank higher on those specific jobs.

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A note on Flowise: On July 29, 2026, the Flowise team — acquired by Workday in August 2025 — announced it's winding down operations. The GitHub repository moved to public archive on August 10, and official end of life is August 31, 2026. The Apache 2.0 code stays available indefinitely, and forking is explicitly encouraged, but there's no core team behind releases, security patches, or support after that date. If you're already running Flowise, this isn't an emergency; if you're evaluating tools now, it's not a starting point anymore.

The 6 Best Voiceflow Alternatives for Marketing-Owned AI Agents in 2026

1. Landbot — Best for Marketing-Owned AI Agents on Web and WhatsApp

Landbot starts from the opposite premise to Voiceflow: the agent is not the product, the pipeline is. You build the conversation on a visual canvas, hand open-ended questions to an AI agent that answers inside guardrails you define, and route the outcomes — qualified leads to a calendar or CRM, support questions to a knowledge-base answer, everything else to a human. There's no development-to-staging-to-production pipeline because there doesn't need to be one: when a campaign changes on Tuesday, the marketer who owns it changes the flow on Tuesday.

Key features:

• No-code visual canvas with multi-branch logic, formulas, lead scoring, and A/B tests, plus webhooks and API access when you do want code
• AI agents that answer open questions inside a controlled flow, then return to qualification or handoff; the agent says what you define
• The same flow runs on web and WhatsApp; native HubSpot, Google Sheets, Slack, and Zapier integrations, plus Stripe and Calendly on the web channel
• GDPR-compliant, built and hosted in the EU

Pricing:

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Extra chats cost €25 per 500, extra AI chats €0.10 each, and one chat covers the whole conversation. On WhatsApp, Meta's own per-message fees apply. There's a 14-day free trial with Pro features, no credit card.

Pros:

• Marketing owns the agent end to end (build, change, measure) without an engineering sprint
• Every price is published: flat tiers, a fixed overage rate, and a bill you can estimate from traffic alone
• Web and WhatsApp from one canvas, with lead qualification and human handoff built in

Cons:

• Not a developer canvas: no code-level agent design, no multi-agent orchestration, no self-hosting
• Usage is metered: chats and AI chats count per plan, with extras at €25 per 500 chats and €0.10 per AI chat
• The free Sandbox is capped at 100 chats/month and 1 seat

For a more in-depth, block-by-block comparison, see the Landbot vs Voiceflow comparison.

2. Botpress — Best Developer-First Agent Platform

If what draws you to Voiceflow is depth rather than design polish, Botpress is the platform most shortlists land on next. It's developer-first: an autonomous engine, an SDK, and code-level control over how an agent reasons, calls tools, and deploys. Where Voiceflow now hides its numbers, Botpress publishes them — though the model deserves a careful read: you pay per conversation, and overage packs buy themselves.

Key features:

• Autonomous agent engine with an SDK, custom code, and deep tool orchestration for engineering teams
• Visual studio on top of the code layer, with WhatsApp and web channels and white-label webchat from Plus up
• AI usage bundled into the per-conversation price

Pricing:

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Past the quota, packs of 100 conversations are purchased automatically: $65 per pack on Plus ($0.65 per conversation), $50 on Team.

Pros:

• The strongest developer toolkit in this list. Real code, real orchestration, published prices
• Conversation-based pricing bundles AI costs, so there's one meter instead of two

Cons:

• Auto-recharge is mandatory: at overage, packs buy themselves and can't be switched off
• Iteration lives in engineering, not marketing

3. Chatbase — Best for Train-on-Docs AI Answering

Chatbase is the shortest path from "we have documentation" to "we have an AI agent answering from it." Upload files or point it at your site, and it builds a grounded agent you can embed, connect to WhatsApp, or put on the phone. It skips the canvas question entirely: there's no flow to design, which is exactly right for support-style answering.

Key features:

• Train on documents, websites, and help content, with auto-retraining as sources change
• AI Actions call external systems (Stripe, Zendesk, Salesforce, and more) mid-conversation
• Helpdesk, voice, and telephony channels from Standard up
• SOC 2 badge published; HIPAA-eligible configuration and zero data retention on Enterprise

Pricing:

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Every plan includes just one AI agent — extra agents cost $300 per agent per year. Extra credits run $40 per 1,000 via opt-in auto-recharge (they don't expire), removing "Powered by Chatbase" is $1,188/year, and paid plans carry a 7-day free trial.

Pros:

• Fastest setup on this list for document-grounded answering
• Credit top-ups are opt-in and don't expire

Cons:

• One agent per plan; multi-bot setups get expensive at $300/agent/year
• No real flow control: qualification logic, branching, and routing are not its game

4. Stack AI — Best for Enterprise Back-Office AI Workflows

Stack AI builds a different kind of agent: not a widget that talks to your website visitors, but AI workflows that process documents, answer RFPs, and automate internal operations for enterprises — with the deployment and compliance story that buyer requires. It belongs on a Voiceflow alternatives list because plenty of "we need an AI agent" projects turn out to be back-office automation, and forcing that through a conversation canvas helps nobody.

Key features:

• Visual builder for AI workflows and agents over documents, knowledge bases, and internal tools
• Deploys as internal apps, APIs, Slack bots, and browser extensions rather than customer-facing chat alone
• On-prem and Virtual Private Cloud deployment, SSO, access control, and SOC 2, HIPAA, and GDPR compliance

Pricing:

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No self-serve paid tier is published — like Voiceflow, budgeting means a sales conversation.

Pros:

• The strongest enterprise deployment story here
• A real free plan to prototype a workflow before anyone talks to sales

Cons:

• No published paid tier between free and Enterprise
• Built for internal operations: lead-gen channels like WhatsApp inboxes, campaign flows, and human handoff aren't its center of gravity

5. Rasa — Best Open Source for Engineering Teams

Rasa is the maintained open-source path and the more serious one. It's conversational AI infrastructure for engineers: the CALM dialogue engine, language-agnostic NLU, Kubernetes deployment, end-to-end testing, and full observability, self-managed on-prem or in your private cloud. Rasa Studio adds a no-code UI for business users, but it sits on the Enterprise platform: this is a stack your engineering org adopts, not a tool marketing signs up for.

Key features:

• CALM (Conversational AI with Language Models) dialogue understanding with multi-LLM management
• Pro-code framework (Rasa Pro) plus Rasa Studio, a no-code UI on the Enterprise platform
• Kubernetes/Helm deployment, Kafka data pipelines, OpenTelemetry observability, PII management
• Self-managed deployment keeps every conversation inside your own infrastructure

Pricing:

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Pros:

• The deepest control of any tool here — models, data, deployment, everything
• The Free Developer Edition is a real production license, not a demo

Cons:

• Python, YAML, and DevOps are the price of admission — every iteration goes through engineering
• Enterprise pricing is opaque and sized for enterprises; there's no self-serve middle tier

6. Tidio — Best for Ecommerce Support With Lyro AI

Tidio answers a different question than Voiceflow: not "how do we design agents?" but "how do we stop answering the same support questions?" Its Lyro AI agent resolves common questions from your help content out of the box, alongside live chat, ticketing, and no-code Flows for proactive lead capture. For an online store, it does on day one what an agent platform would take weeks to assemble — and its meter is friendly: only conversations a human replies to are billable.

Key features:

• Lyro AI agent trained on your support content, with human handoff
• Shared inbox: live chat, email, tickets, Messenger, Instagram, and WhatsApp
• Flows — no-code proactive automations for lead capture and cart recovery
• SSO and compliance features on the Premium tier

Pricing:

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Lyro is metered separately as a standalone add-on, from $39/month ($32.50/month billed annually) for 50 AI conversations; Flows is also sold standalone, from $29/month ($24.17/month billed annually) for 2,000 visitors reached. Self-serve plans include up to 10 seats; 7-day free trial, no card.

Pros:

• Complete support stack on day one — AI, inbox, and automation in one tool
• Human-reply billing means spam and unanswered messages cost nothing

Cons:

• Three meters to track (billable conversations, Lyro conversations, Flows visitors) — the real bill assembles from all of them
• A support tool first: lead-gen logic is shallower than a dedicated flow builder

Why a Voiceflow AI Agent Can Be Harder to Operate for Marketing-Owned Lead Gen

A Voiceflow AI agent lives on a canvas built for conversation designers, engineers, and CX teams promoting versions from development to production. That's a feature when the agent is your product. It's overhead when the agent is your lead form — a marketer's Tuesday-morning copy change becomes a ticket in someone else's queue.

A marketing-owned agent inverts that. The person accountable for pipeline opens the canvas, tightens a qualifying question, and republishes before lunch — while the AI layer keeps answering inside guardrails marketing set. That's the core idea behind an AI agent for lead generation: the team that owns the goal has to be able to change the interaction.

The honest boundary: if you're prototyping conversation design, orchestrating multiple assistants, or embedding agents into your own product, Voiceflow is the right instrument — no marketing-shaped tool here will match it. The mistake is hiring an agent-design platform to do a marketing team's job, then waiting on a backlog to change a question.

Which Voiceflow Alternative Should You Pick?

Find your row — the left column is the job, the right column is the answer.

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Voiceflow Alternatives: Frequently Asked Questions

How much does Voiceflow cost in 2026?

Voiceflow doesn't publish plan prices. Its pricing page in 2026 offers two tracks: Agencies & Partners and Businesses. Billing combines a plan fee, add-ons such as editor seats and phone numbers, and credits — the usage currency consumed by AI responses and calls. To get a current number, you either start metered usage or talk to sales.

We're evaluating Landbot as an alternative to Voiceflow. Our main use case is lead gen on the website, not full AI agent orchestration. Which is better suited?

For website lead generation, Landbot — that's its core use case rather than one of many deployment targets. Flows qualify visitors with conditional questions, an AI agent handles open-ended ones inside guardrails you define, and leads route natively to HubSpot, Google Sheets, or a booked meeting (Salesforce is supported too, though with limited usage outside the Business plan). Pricing is published (Starter €40/month, Pro €100/month) and scales primarily with chat volume — extra seats are a flat €25/month each, not the variable, hard-to-predict cost Voiceflow's credit meter can become. Voiceflow is better suited when you actually need what you'd be paying for: multi-assistant orchestration, code-level functions, voice channels, and a team whose job is designing agents. If your evaluation is "lead gen this quarter, owned by marketing," you'd be renting an agent-engineering platform to do a form's job.

Is Landbot or Voiceflow better for a marketing ops team that wants to build and iterate on flows without involving a developer every time?

Landbot. The whole product is organized around that ownership model: a no-code canvas marketing edits directly, native CRM and calendar blocks instead of developer-configured functions, and publishing without a deploy pipeline — change the flow, hit publish, it's live. Voiceflow is collaborative and visual too, but its depth (functions, custom code, environments from development to production, credit-metered usage) is built for product and engineering teams who iterate on agents the way developers iterate on software. If flows must change between campaigns without a ticket, that difference is structural. Run the same iteration test in both trials: build a flow, then have the marketer — not the most technical person in the room — change three questions and republish.

Is there a free Voiceflow alternative?

Yes — several tools here have permanent free plans, though none fully replaces Voiceflow at production volume. Botpress offers 100 conversations/month (no top-ups), Chatbase 50 message credits/month (idle agents deleted after 14 days), Stack AI 500 runs/month, and Tidio 50 billable conversations/month. For a genuinely production-ready free option, Rasa's Free Developer Edition is the honest answer — a real production license, not a demo, with one bot and up to 1,000 external conversations a month. Landbot's free Sandbox (1 seat, 100 chats/month) is enough to test a full flow before paying, but not to run at volume.

Landbot vs Voiceflow: which should I choose?

Choose by who owns the agent. Voiceflow is an agent-design platform for product, CX, and engineering teams: functions and custom code, multi-assistant workflows, versioned environments, model choice, and voice — with pricing that now runs usage-based or by quote. Landbot is a no-code builder for marketing teams: visual flows, AI answers inside guardrails, native WhatsApp, published pricing, and iteration without a developer. If an engineer will design and maintain your agent, Voiceflow; if a marketer will, Landbot. The Landbot vs Voiceflow comparison maps the head-to-head block by block, including migration.

What does a Voiceflow alternative cost at 1,000 conversations a month?

With Voiceflow itself you can't know from the public page — the cost depends on your credit consumption and plan quote. Among alternatives with published prices: Landbot Pro covers 2,500 chats for €100/month flat; Botpress Plus (billed annually) at 1,000 conversations means 250 included plus eight auto-purchased packs, roughly $670 that month — on monthly billing, the same math runs closer to $710; Chatbase Standard offers 4,000 message credits for $150/month, with credits burning per AI reply and by model; Tidio's Growth ladder reaches 1,000 billable conversations in the hundreds of dollars, with Lyro AI metered separately. The units differ — chat, conversation, credit, run — so run your own traffic through each meter before comparing invoices.

So — Do You Need the Canvas, or the Leads?

That's the real fork in this decision. If your team's deliverable is the agent itself — designed, versioned, orchestrated across channels by people staffed to do exactly that — Voiceflow remains one of the best places to do the work, and Botpress and Rasa are its serious rivals. If the agent is a means and the deliverable is pipeline, then the platform was never the point: what you need is a flow on the page or WhatsApp number where leads are leaking, owned by the team accountable for them. Pick that one page, rebuild the flow in Landbot's 14-day free trial (Pro features, no credit card), and compare cost per qualified lead against what you run today. Two weeks of your own data beats any list — including this one.