LiveChat vs Voiceflow

Make an informed decision with our comprehensive comparison. Discover which RAG solution perfectly fits your needs.

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Priyansh Khodiyar's avatar
Priyansh KhodiyarDevRel at CustomGPT.ai

Fact checked and reviewed by Bill Cava

Published: 01.04.2025Updated: 25.04.2025

In this comprehensive guide, we compare LiveChat and Voiceflow across various parameters including features, pricing, performance, and customer support to help you make the best decision for your business needs.

Overview

When choosing between LiveChat and Voiceflow, understanding their unique strengths and architectural differences is crucial for making an informed decision. Both platforms serve the RAG (Retrieval-Augmented Generation) space but cater to different use cases and organizational needs.

Quick Decision Guide

  • Choose LiveChat if: you value mature 20+ year platform with proven enterprise reliability (adobe, paypal, ikea, samsung, best buy)
  • Choose Voiceflow if: you value visual workflow builder enables non-technical teams to build complex agents

About LiveChat

LiveChat Landing Page Screenshot

LiveChat is enterprise live chat platform with ai-augmented customer support workflows. Mature 20+ year live chat platform owned by publicly-traded Text S.A. (WSE: TXT, $88.9M annual revenue) serving 37,000+ businesses including Adobe, PayPal, IKEA. NOT a RAG-as-a-Service platform—operates as human-agent live chat with AI augmentation features. Proprietary AI engine (not LLM model selection), limited knowledge sources (PDFs/websites only), no vector database controls, no anti-hallucination mechanisms. Strong for traditional customer support workflows. $20-$59/agent/month + $52/month ChatBot addon. Founded in 2002, headquartered in Wroclaw, Poland, the platform has established itself as a reliable solution in the RAG space.

Overall Rating
86/100
Starting Price
$20/mo

About Voiceflow

Voiceflow Landing Page Screenshot

Voiceflow is collaborative ai agent building platform for teams. Voiceflow is a collaborative workflow-first platform for building, deploying, and scaling AI agents. Born from Alexa skill development (2017-2019), it evolved into a full-stack agent platform with visual canvas design, function calling, and enterprise-grade observability. Used by Mercedes-Benz, JP Morgan, and 200K+ teams. Founded in 2017, headquartered in Toronto, Canada, the platform has established itself as a reliable solution in the RAG space.

Overall Rating
90/100
Starting Price
$40/mo

Key Differences at a Glance

In terms of user ratings, both platforms score similarly in overall satisfaction. From a cost perspective, pricing is comparable. The platforms also differ in their primary focus: Customer Support versus AI Agent Platform. These differences make each platform better suited for specific use cases and organizational requirements.

⚠️ What This Comparison Covers

We'll analyze features, pricing, performance benchmarks, security compliance, integration capabilities, and real-world use cases to help you determine which platform best fits your organization's needs. All data is independently verified from official documentation and third-party review platforms.

Detailed Feature Comparison

logo of livechat
LiveChat
logo of voiceflow
Voiceflow
logo of customGPT logo
CustomGPTRECOMMENDED
Data Ingestion & Knowledge Sources
  • Supported formats – PDFs and website crawling only (max 2,000 pages)
  • Plan limits – Team: 10 files/3 sites, Business: 30 files/10 sites
  • ⚠️ NO DOCX, TXT, CSV, Excel – No audio, video, code files (vs 1,400+ formats)
  • ⚠️ NO cloud storage sync – No Google Drive, Dropbox, OneDrive, Notion, Confluence
  • Knowledge Base (KB) – RAG-powered retrieval: PDF, Word, CSV, plain text uploads
  • Website crawling – Sitemap ingestion, auto-sync Google Drive, Notion, Confluence, Zendesk (Pro+)
  • ✅ No explicit document limits, scales by storage tier
  • ⚠️ Accuracy concerns – Reviews cite KB "often inaccurate" and "too general"
  • 1,400+ file formats – PDF, DOCX, Excel, PowerPoint, Markdown, HTML + auto-extraction from ZIP/RAR/7Z archives
  • Website crawling – Sitemap indexing with configurable depth for help docs, FAQs, and public content
  • Multimedia transcription – AI Vision, OCR, YouTube/Vimeo/podcast speech-to-text built-in
  • Cloud integrations – Google Drive, SharePoint, OneDrive, Dropbox, Notion with auto-sync
  • Knowledge platforms – Zendesk, Freshdesk, HubSpot, Confluence, Shopify connectors
  • Massive scale – 60M words (Standard) / 300M words (Premium) per bot with no performance degradation
Integrations & Channels
  • Messaging platforms – Website, Facebook, WhatsApp, Apple Messages, Telegram, SMS, email
  • 200+ marketplace integrations – Zapier (5,000+ apps), HubSpot, Salesforce, Zendesk, Intercom
  • E-commerce platforms – Shopify, WooCommerce, BigCommerce native plugins
  • ✅ Custom integrations – Webhooks with JSON payloads, 10s response timeout
  • 15+ native integrations – Zendesk, Salesforce, HubSpot, Intercom, Slack, Teams, Freshdesk
  • Messaging & voice – WhatsApp, SMS, Alexa, Google Assistant, custom telephony
  • E-commerce – Shopify, Stripe, Zapier, Make.com (5000+ apps), Calendly
  • ✅ Custom integrations via unlimited HTTP API blocks, webhooks, iOS/Android SDKs
  • Website embedding – Lightweight JS widget or iframe with customizable positioning
  • CMS plugins – WordPress, WIX, Webflow, Framer, SquareSpace native support
  • 5,000+ app ecosystem – Zapier connects CRMs, marketing, e-commerce tools
  • MCP Server – Integrate with Claude Desktop, Cursor, ChatGPT, Windsurf
  • OpenAI SDK compatible – Drop-in replacement for OpenAI API endpoints
  • LiveChat + Slack – Native chat widgets with human handoff capabilities
200+ Integration Ecosystem ( Core Differentiator)
  • ✅ Mature marketplace – 200+ pre-built integrations after 20+ years development
  • ✅ Enterprise CRM depth – Deep Salesforce, HubSpot, Zendesk, Intercom integrations
  • ✅ E-commerce validated – Official Shopify/WooCommerce/BigCommerce plugins
  • ✅ Webhook flexibility – JSON payloads, 10s timeouts for custom workflows (8/10 differentiator)
N/A
N/A
Agent Chat A P I v3.5 ( Differentiator)
  • Dual transport – REST API and WebSocket (RTM) for real-time communication
  • Official SDKs – JavaScript/Node.js, iOS (Swift), Android (Kotlin), Customer SDK
  • OAuth 2.1 PKCE – Modern auth plus Personal Access Tokens
  • ⚠️ Rate limits – 180 requests/min may constrain high-volume apps
  • ⚠️ Chat ops focus – No RAG APIs for semantic search or embedding management
N/A
N/A
Core Agent Features
  • AI Reply Suggestions – Context-based response recommendations from knowledge sources
  • Text Enhancement – Grammar correction and tone polishing before sending
  • AI Insights – Analyzes 1,000+ queries in 30s for trends
  • ⚠️ NO anti-hallucination – No citation attribution or source tracing
  • Agent step (2024) – Autonomous AI with tool use, decision-making, KB access
  • Multi-agent orchestration – Supervisor pattern connecting specialized agents for conversation aspects
  • Hybrid architecture – Hard business logic + Agent networks for flexibility
  • Human handoff – Smooth transitions with full history transfer to support/sales
  • Lead capture & CRM – Auto-create in HubSpot/Salesforce/Pipedrive, update deal stages
  • Custom AI Agents – Autonomous GPT-4/Claude agents for business tasks
  • Multi-Agent Systems – Specialized agents for support, sales, knowledge
  • Memory & Context – Persistent conversation history across sessions
  • Tool Integration – Webhooks + 5,000 Zapier apps for automation
  • Continuous Learning – Auto re-indexing without manual retraining
Chat Bot Automation ( Separate Product)
  • Visual builder – Drag-and-drop no-code chatbot with NLP
  • Proprietary engine – Internal NLP, doesn't use OpenAI/Bard/Bing
  • ⚠️ Additional cost – $52/month on top of LiveChat subscription
  • ⚠️ NO LLM selection – Proprietary only, no GPT-4/Claude/Gemini access
N/A
N/A
Widget Customization & White- Labeling
  • Live editor – Theme presets, custom hex colors, logo uploads, positioning
  • WCAG 2.1 AA – Accessibility with screen readers, keyboard navigation
  • Mobile responsive – Device-specific settings and hiding options
  • ⚠️ White-label Enterprise only – Requires custom pricing, minimum 5 seats
N/A
N/A
L L M Model Options
  • ⚠️ NO model selection – Proprietary AI engine only
  • ⚠️ NO GPT-4, Claude, Gemini – Cannot choose LLM providers
  • ⚠️ NO BYOLLM – No custom models or fine-tuning
  • ⚠️ Opaque processing – Architecture and training data not documented (3/10 flexibility)
  • Multi-model support – GPT-4, GPT-3.5, Claude, Gemini per agent/step configuration
  • Function calling – GPT-4/Claude support with custom model API integration
  • Prompt controls – System prompts, few-shot examples, temperature/token controls per request
  • ✅ Cost optimization via model routing, RAG auto-augments LLM prompts
  • GPT-5.1 models – Latest thinking models (Optimal & Smart variants)
  • GPT-4 series – GPT-4, GPT-4 Turbo, GPT-4o available
  • Claude 4.5 – Anthropic's Opus available for Enterprise
  • Auto model routing – Balances cost/performance automatically
  • Zero API key management – All models managed behind the scenes
Developer Experience ( A P I & S D Ks)
  • Agent Chat API v3.5 – REST and WebSocket with OAuth 2.1 PKCE
  • Mobile SDKs – iOS (Swift, iOS 15.6+), Android (Kotlin via Gradle)
  • ✅ Strong documentation – Postman collections, tutorials, Discord community
  • ⚠️ NO Python SDK – JavaScript/mobile only, limits backend integration
  • REST API & SDKs – JavaScript/TypeScript, Python, GraphQL API for queries
  • API capabilities – Send messages, manage state, retrieve transcripts, update KB
  • Custom code blocks – JavaScript execution within workflows, rate limits 10K/hour (Pro)
  • ✅ Comprehensive docs, 15K+ community (Discord/Slack), Postman/OpenAPI specs
  • REST API – Full-featured for agents, projects, data ingestion, chat queries
  • Python SDK – Open-source customgpt-client with full API coverage
  • Postman collections – Pre-built requests for rapid prototyping
  • Webhooks – Real-time event notifications for conversations and leads
  • OpenAI compatible – Use existing OpenAI SDK code with minimal changes
R A G Implementation & Accuracy
  • ⚠️ NOT RAG-as-a-Service – No vector database, embeddings, retrieval pipeline
  • ⚠️ NO chunking/embedding controls – Size, overlap, model selection not exposed
  • ⚠️ NO hybrid search – No keyword + semantic combination
  • ⚠️ NO anti-hallucination – No citations, source verification (2/10 RAG platform)
N/A
N/A
Performance & Accuracy
  • Real-time delivery – Sub-second message delivery, praised for reliability
  • Scalability – 37,000+ businesses, enterprise customers (Adobe, PayPal, IKEA)
  • ⚠️ NO accuracy benchmarks – No published AI retrieval metrics
  • ⚠️ Operational focus – Metrics for queue times, agent response, not AI accuracy
  • Response times – 200-500ms simple, 1-2s complex; 99.9% SLA (Enterprise)
  • Accuracy claims – GoStudent case: 98% accuracy on 100K conversations
  • Hallucination prevention – RAG grounding, confidence thresholds, source citations
  • ⚠️ KB accuracy concerns – Reviews cite "often inaccurate", manual preprocessing required
  • Sub-second responses – Optimized RAG with vector search and multi-layer caching
  • Benchmark-proven – 13% higher accuracy, 34% faster than OpenAI Assistants API
  • Anti-hallucination tech – Responses grounded only in your provided content
  • OpenGraph citations – Rich visual cards with titles, descriptions, images
  • 99.9% uptime – Auto-scaling infrastructure handles traffic spikes
Security & Privacy
  • ✅ Seven certifications – SOC 2, GDPR, HIPAA, ISO 27001, PCI DSS, FedRAMP, CSA Star
  • Encryption – TLS transit, AES-256 at rest
  • Data residency – EU (Poland) compliance with account isolation
  • ⚠️ SSO/SAML Enterprise only – Significant gap for mid-market identity management
  • SOC 2 Type II certified – GDPR compliant, HIPAA ready (Enterprise)
  • Encryption – AES-256 at rest, TLS 1.3 in transit, zero-retention policy
  • SSO/SAML – Okta/Azure AD, RBAC (Team+), audit logs (Enterprise)
  • ✅ On-premise deployment, EU data residency, DPA, IP whitelisting, key rotation
  • SOC 2 Type II + GDPR – Third-party audited compliance
  • Encryption – 256-bit AES at rest, SSL/TLS in transit
  • Access controls – RBAC, 2FA, SSO, domain allowlisting
  • Data isolation – Never trains on your data
Full Compliance Portfolio ( Core Differentiator)
  • ✅ Seven certifications – SOC 2, GDPR, HIPAA, ISO 27001, PCI DSS, FedRAMP, CSA Star
  • ✅ FedRAMP unique – Rare federal authorization enables government contracts
  • ✅ PCI DSS masking – Built-in payment card protection for financial services
  • ✅ HIPAA BAA – Business Associate Agreement for healthcare compliance (9/10 differentiator)
N/A
N/A
Observability & Monitoring
  • Real-time monitoring – Agent status, queue depth, visitor activity dashboards
  • Chat metrics – Volume, missed chats, response times, agent performance, CSAT
  • Staffing predictions – AI scheduling optimization (Business+ plans)
  • ⚠️ NO AI metrics – No retrieval accuracy, semantic search, hallucination monitoring
  • Analytics dashboard – Sessions, users, messages, completion rates, drop-off visualization
  • Conversation funnels – Journey mapping with full transcript viewer
  • Error tracking – Monitor API failures, timeouts, unhandled intents real-time
  • ✅ User feedback (thumbs/CSAT/NPS), CSV/JSON export, Datadog/New Relic webhooks
  • Real-time dashboard – Query volumes, token usage, response times
  • Customer Intelligence – User behavior patterns, popular queries, knowledge gaps
  • Conversation analytics – Full transcripts, resolution rates, common questions
  • Export capabilities – API export to BI tools and data warehouses
Pricing & Scalability
  • Starter – $20/agent/month, 60-day history, 1 user
  • Team – $41/agent/month, unlimited history, 10 files/3 sites
  • Business – $59/agent/month, staffing predictions, 30 files/10 sites
  • Enterprise – Custom pricing, min 5 seats, SSO/SAML, white-label, HIPAA
  • ⚠️ Cost escalation – 10 agents + ChatBot = $642/month ($7,704/year)
  • Sandbox (Free) – 2 agents, unlimited interactions, 3 collaborators
  • Pro: $50/month – 10 agents, unlimited interactions, 10 collaborators
  • Team: $625/month – 50 agents, 25 collaborators, API, version control, RBAC
  • Enterprise: Custom – Unlimited agents, SSO, SOC 2, SLA, dedicated support
  • ⚠️ Pricing complexity – Per-seat ($15-25) + per-agent ($20-50) charges escalate quickly
  • Standard: $99/mo – 60M words, 10 bots
  • Premium: $449/mo – 300M words, 100 bots
  • Auto-scaling – Managed cloud scales with demand
  • Flat rates – No per-query charges
Support & Ecosystem
  • ✅ 24/7 support – Live chat and email, consistently praised (4.5/5 G2, 4.6/5 Capterra)
  • Developer docs – Extensive at developers.livechat.com with Postman, tutorials
  • Enterprise SLA – Guaranteed response times on custom contracts
  • Common criticisms – Rising prices, per-agent scaling costs, fragmented ChatBot product
  • Founded 2017 – $28M funding (Felicis, OpenAI Startup Fund, Tiger Global)
  • 200K+ teams – Mercedes-Benz, JP Morgan, Shopify; 15K+ developer community
  • Support tiers – Community (Free), priority email (Pro), chat (Team), 24/7 CSM (Enterprise)
  • ✅ 100+ templates, Academy certifications, comprehensive docs, partner program
  • Comprehensive docs – Tutorials, cookbooks, API references
  • Email + in-app support – Under 24hr response time
  • Premium support – Dedicated account managers for Premium/Enterprise
  • Open-source SDK – Python SDK, Postman, GitHub examples
  • 5,000+ Zapier apps – CRMs, e-commerce, marketing integrations
Additional Considerations
  • ⚠️ Platform classification – Human-agent live chat with AI, NOT RAG-as-a-Service
  • ✅ Primary strength – Customer support workflows with 200+ integrations, seven certifications
  • ⚠️ Knowledge gap – PDFs/websites only, NO DOCX/CSV/Excel/audio/video/code files
  • ⚠️ NO RAG infrastructure – No vector DB, embeddings, chunking, similarity thresholds
  • Workflow-first platform – Excels complex workflows, KB accuracy lags RAG specialists
  • Best use case – Multi-step API orchestration, team collaboration; NOT document Q&A
  • ⚠️ Steep learning curve – Weeks onboarding despite visual interface
  • ⚠️ Visual canvas overwhelm – Complex agents (100+ blocks) difficult to manage
  • ⚠️ Pricing escalation – Per-seat/agent fees escalate beyond base costs quickly
  • ⚠️ SOC 2 Enterprise-only – No SLA guarantees on lower tiers
  • Time-to-value – 2-minute deployment vs weeks with DIY
  • Always current – Auto-updates to latest GPT models
  • Proven scale – 6,000+ organizations, millions of queries
  • Multi-LLM – OpenAI + Claude reduces vendor lock-in
A I Models
  • Proprietary engine – Internal NLP, doesn't rely on OpenAI/Bard/Bing
  • ⚠️ NO LLM selection – Cannot choose GPT-4, Claude, Gemini
  • ⚠️ Opaque architecture – Model training data, capabilities not documented
  • ⚠️ NO BYOLLM – No model routing, fine-tuning, custom models (3/10 flexibility)
  • Multi-model support – GPT-4, GPT-3.5, Claude, Gemini per agent/step selection
  • Function calling – GPT-4/Claude real-time action triggering during conversations
  • Custom model integration – Proprietary LLM API support, temperature/token controls (0.0-2.0)
  • ✅ Cost optimization routing: GPT-3.5 simple, GPT-4 complex queries
  • OpenAI – GPT-5.1 (Optimal/Smart), GPT-4 series
  • Anthropic – Claude 4.5 Opus/Sonnet (Enterprise)
  • Auto-routing – Intelligent model selection for cost/performance
  • Managed – No API keys or fine-tuning required
R A G Capabilities
  • ⚠️ NOT RAG platform – No vector DB, embedding controls, retrieval pipeline
  • ⚠️ Limited sources – PDFs and websites only (max 2,000 pages, 10-30 files)
  • ⚠️ Human-agent focus – Agent workflows, not autonomous retrieval (2/10 RAG rating)
  • Knowledge Base – RAG vector search, semantic matching (PDF, Word, CSV, text)
  • Website crawling – Sitemap ingestion, auto-sync Google Drive, Notion, Confluence, Zendesk
  • Multi-turn context – Conversation preservation across sessions for coherent dialogues
  • ⚠️ Accuracy concerns – Reviews cite KB "often inaccurate", "too general"
  • ⚠️ No RAG controls – Cannot configure chunking, embeddings, similarity thresholds
  • GPT-4 + RAG – Outperforms OpenAI in independent benchmarks
  • Anti-hallucination – Responses grounded in your content only
  • Automatic citations – Clickable source links in every response
  • Sub-second latency – Optimized vector search and caching
  • Scale to 300M words – No performance degradation at scale
Use Cases
  • ✅ Customer support – Live chat for 37,000+ businesses with AI agent augmentation
  • ✅ E-commerce – Shopify/WooCommerce/BigCommerce native integrations
  • ✅ Multi-channel – Website, Facebook, WhatsApp, Apple Messages, Telegram, SMS
  • ⚠️ NOT suitable for – Autonomous knowledge retrieval, programmatic document search
  • Complex workflows – API orchestration, multi-agent coordination, sophisticated logic
  • Team collaboration – 10+ simultaneous editors with real-time tracking/comments
  • Voice assistants – Alexa, Google Assistant, custom telephony conversational AI
  • Customer service – 15+ integrations (Zendesk, Salesforce, HubSpot, Intercom) automation
  • E-commerce – Shopify orders, product recommendations, lead gen with Calendly/CRM
  • ⚠️ NOT ideal for – Simple document Q&A (KB accuracy issues)
  • Customer support – 24/7 AI handling common queries with citations
  • Internal knowledge – HR policies, onboarding, technical docs
  • Sales enablement – Product info, lead qualification, education
  • Documentation – Help centers, FAQs with auto-crawling
  • E-commerce – Product recommendations, order assistance
Security & Compliance
  • ✅ Seven certifications – SOC 2, GDPR, HIPAA, ISO 27001, PCI DSS, FedRAMP, CSA Star
  • ✅ Data privacy – Customer data never used for training, zero-retention policies
  • Encryption – TLS transit, AES-256 at rest, regional data residency
  • ⚠️ HIPAA/SSO Enterprise only – Min 5 seats ($6,000/year minimum)
  • SOC 2 Type II – GDPR compliant, HIPAA ready (Enterprise), EU data residency
  • Encryption – AES-256 at rest, TLS 1.3 in transit, zero-retention
  • SSO/SAML – Okta, Azure AD, OneLogin; RBAC (Team+), audit logs (Enterprise)
  • ✅ On-premise deployment for data sovereignty, DPA available
  • SOC 2 Type II + GDPR – Regular third-party audits, full EU compliance
  • 256-bit AES encryption – Data at rest; SSL/TLS in transit
  • SSO + 2FA + RBAC – Enterprise access controls with role-based permissions
  • Data isolation – Never trains on customer data
  • Domain allowlisting – Restrict chatbot to approved domains
Pricing & Plans
  • Starter – $20/agent/month, 60-day history, 1 user
  • Team – $41/agent/month, unlimited history, 400 users, AI features
  • Business – $59/agent/month, staffing predictions, full AI features
  • Enterprise – Custom pricing (min 5 seats), SSO/SAML, white-label, HIPAA
  • ⚠️ Cost escalation – Per-agent model criticized for scaling vs project pricing
  • Sandbox (Free) – 2 agents, unlimited interactions, 3 collaborators
  • Pro: $50/month – 10 agents, unlimited interactions, 10 collaborators, GPT-4/Claude
  • Team: $625/month – 50 agents, 25 collaborators, API, version control, RBAC
  • Enterprise: Custom – Unlimited agents, SSO, SOC 2, HIPAA, SLA, on-premise
  • ⚠️ Per-seat charges – Additional editors $50/month (Pro), $15-25/month (Team)
  • Standard: $99/mo – 10 chatbots, 60M words, 5K items/bot
  • Premium: $449/mo – 100 chatbots, 300M words, 20K items/bot
  • Enterprise: Custom – SSO, dedicated support, custom SLAs
  • 7-day free trial – Full Standard access, no charges
  • Flat-rate pricing – No per-query charges, no hidden costs
Support & Documentation
  • ✅ 24/7 support – Live chat/email, consistently praised (4.5/5 G2, 4.6/5 Capterra)
  • Developer docs – Extensive at developers.livechat.com with Postman, tutorials
  • Enterprise SLA – Guaranteed response times, uptime commitments
  • SDK support – JavaScript, iOS (Swift), Android (Kotlin), Customer SDK
  • Founded 2017 – $28M funding (Felicis, OpenAI Startup Fund, Tiger Global)
  • 200K+ teams – Mercedes-Benz, JP Morgan, Shopify; 15K+ developer community
  • Support tiers – Community (Free), priority email (Pro), chat (Team), 24/7 CSM (Enterprise)
  • ✅ 100+ templates, comprehensive docs, Academy certifications, partner program
  • Documentation hub – Docs, tutorials, API references
  • Support channels – Email, in-app chat, dedicated managers (Premium+)
  • Open-source – Python SDK, Postman, GitHub examples
  • Community – User community + 5,000 Zapier integrations
Limitations & Considerations
  • ⚠️ NOT RAG platform – Human-agent live chat, not autonomous retrieval (2/10 RAG)
  • ⚠️ Limited formats – PDFs/websites only, NO DOCX/CSV/Excel/audio/video/code
  • ⚠️ NO LLM flexibility – Proprietary engine only, no GPT-4/Claude/Gemini
  • ⚠️ Fragmented product – ChatBot requires separate $52/month purchase
  • ⚠️ Cost scaling – Per-agent pricing criticized, 10 agents = $642/month
  • ⚠️ KB accuracy issues – Reviews cite "often inaccurate", not ideal document Q&A
  • ⚠️ Workflow-first platform – Excels orchestration, lags specialized RAG platforms
  • ⚠️ Steep learning curve – Weeks onboarding despite visual interface
  • ⚠️ Pricing complexity – Per-seat/agent fees escalate beyond base costs
  • ⚠️ Visual canvas overwhelm – Complex agents (100+ blocks) difficult to manage
  • ⚠️ SOC 2 Enterprise-only – No SLA guarantees on Pro/Team tiers
  • Managed service – Less control over RAG pipeline vs build-your-own
  • Model selection – OpenAI + Anthropic only; no Cohere, AI21, open-source
  • Real-time data – Requires re-indexing; not ideal for live inventory/prices
  • Enterprise features – Custom SSO only on Enterprise plan
Core Chatbot Features
N/A
  • Visual workflow canvas – 50+ drag-and-drop blocks (text, cards, buttons, forms, APIs)
  • Multi-turn conversations – Context preservation across sessions with full transcript logging
  • Agent handoff – Multi-agent routing, human handoff with context transfer
  • 100+ languages – Intent recognition, entity extraction, slot filling via NLU
  • ✅ Analytics dashboard: sessions, users, completion rates, drop-offs, A/B testing
  • ✅ #1 accuracy – Median 5/5 in independent benchmarks, 10% lower hallucination than OpenAI
  • ✅ Source citations – Every response includes clickable links to original documents
  • ✅ 93% resolution rate – Handles queries autonomously, reducing human workload
  • ✅ 92 languages – Native multilingual support without per-language config
  • ✅ Lead capture – Built-in email collection, custom forms, real-time notifications
  • ✅ Human handoff – Escalation with full conversation context preserved
Customization & Branding
N/A
  • Visual widget editor – Custom colors, logos, fonts, button styles, bubble positioning
  • White-labeling – Remove branding (Team+), custom domains (Pro+), CSS injection
  • ✅ Dynamic personalization via user attributes, multi-channel customization, configurable tone/prompts
  • Full white-labeling included – Colors, logos, CSS, custom domains at no extra cost
  • 2-minute setup – No-code wizard with drag-and-drop interface
  • Persona customization – Control AI personality, tone, response style via pre-prompts
  • Visual theme editor – Real-time preview of branding changes
  • Domain allowlisting – Restrict embedding to approved sites only
Customization & Flexibility ( Behavior & Knowledge)
N/A
  • Real-time updates – Workflow changes deploy instantly, no rebuild required
  • Version control – Git-style versioning, rollback, Dev/Staging/Prod environments (Team+)
  • Component reusability – Save sections, 100+ templates, dynamic KB syncing
  • ✅ Task-specific flows, multi-language routing, user segmentation by custom attributes
  • Live content updates – Add/remove content with automatic re-indexing
  • System prompts – Shape agent behavior and voice through instructions
  • Multi-agent support – Different bots for different teams
  • Smart defaults – No ML expertise required for custom behavior
No- Code Interface & Usability
N/A
  • Visual canvas builder – Drag-and-drop 50+ blocks, 80% no-code coverage
  • Collaboration – 10+ simultaneous editors, real-time cursor tracking, comments
  • Testing tools – Built-in chat simulator, one-click channel deployment
  • ✅ Ease of use 8.7/10 (G2), 100+ templates, Academy certifications
  • 2-minute deployment – Fastest time-to-value in the industry
  • Wizard interface – Step-by-step with visual previews
  • Drag-and-drop – Upload files, paste URLs, connect cloud storage
  • In-browser testing – Test before deploying to production
  • Zero learning curve – Productive on day one
R A G-as-a- Service Assessment
N/A
  • Platform Type – WORKFLOW-FIRST with RAG capabilities, NOT pure RAG-as-a-Service
  • Core Architecture – Visual canvas (50+ blocks) combining intent-based + RAG hybrid
  • RAG Integration – KB with vector search (Qdrant) + GPT-4, secondary to workflows
  • Developer Experience – REST API, JS/Python SDKs, custom code blocks, GraphQL
  • ⚠️ RAG Limitations – KB "often inaccurate", no RAG parameter configuration, manual preprocessing
  • Platform type – TRUE RAG-AS-A-SERVICE with managed infrastructure
  • API-first – REST API, Python SDK, OpenAI compatibility, MCP Server
  • No-code option – 2-minute wizard deployment for non-developers
  • Hybrid positioning – Serves both dev teams (APIs) and business users (no-code)
  • Enterprise ready – SOC 2 Type II, GDPR, WCAG 2.0, flat-rate pricing
Competitive Positioning
N/A
  • Market position – Workflow-first platform (founded 2017, $28M funding) for orchestration
  • Target customers – Enterprise teams (200K+ users: Mercedes-Benz, JP Morgan) needing multi-agent workflows
  • Key competitors – Botpress, Rasa, Microsoft Power Virtual Agents, NOT RAG tools
  • Competitive advantages – 50+ blocks, 10+ real-time collab, 15+ integrations, SOC 2/GDPR/HIPAA
  • ✅ Free Sandbox, Pro $50/month reasonable for startups, best for workflows
  • ⚠️ Use case fit – Ideal complex workflows, NOT simple document Q&A
  • Market position – Leading RAG platform balancing enterprise accuracy with no-code usability. Trusted by 6,000+ orgs including Adobe, MIT, Dropbox.
  • Key differentiators – #1 benchmarked accuracy • 1,400+ formats • Full white-labeling included • Flat-rate pricing
  • vs OpenAI – 10% lower hallucination, 13% higher accuracy, 34% faster
  • vs Botsonic/Chatbase – More file formats, source citations, no hidden costs
  • vs LangChain – Production-ready in 2 min vs weeks of development

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Final Thoughts

Final Verdict: LiveChat vs Voiceflow

After analyzing features, pricing, performance, and user feedback, both LiveChat and Voiceflow are capable platforms that serve different market segments and use cases effectively.

When to Choose LiveChat

  • You value mature 20+ year platform with proven enterprise reliability (adobe, paypal, ikea, samsung, best buy)
  • 200+ integrations with robust Zapier support (5,000+ app connections) and comprehensive webhooks
  • Exceptional compliance portfolio: SOC 2 + GDPR + HIPAA + ISO 27001 + PCI DSS + FedRAMP + CSA Star Level 1

Best For: Mature 20+ year platform with proven enterprise reliability (Adobe, PayPal, IKEA, Samsung, Best Buy)

When to Choose Voiceflow

  • You value visual workflow builder enables non-technical teams to build complex agents
  • Real-time collaboration features rival Figma - 10+ people editing simultaneously
  • Function calling and API integrations allow true action-taking agents

Best For: Visual workflow builder enables non-technical teams to build complex agents

Migration & Switching Considerations

Switching between LiveChat and Voiceflow requires careful planning. Consider data export capabilities, API compatibility, and integration complexity. Both platforms offer migration support, but expect 2-4 weeks for complete transition including testing and team training.

Pricing Comparison Summary

LiveChat starts at $20/month, while Voiceflow begins at $40/month. Total cost of ownership should factor in implementation time, training requirements, API usage fees, and ongoing support. Enterprise deployments typically see annual costs ranging from $10,000 to $500,000+ depending on scale and requirements.

Our Recommendation Process

  1. Start with a free trial - Both platforms offer trial periods to test with your actual data
  2. Define success metrics - Response accuracy, latency, user satisfaction, cost per query
  3. Test with real use cases - Don't rely on generic demos; use your production data
  4. Evaluate total cost - Factor in implementation time, training, and ongoing maintenance
  5. Check vendor stability - Review roadmap transparency, update frequency, and support quality

For most organizations, the decision between LiveChat and Voiceflow comes down to specific requirements rather than overall superiority. Evaluate both platforms with your actual data during trial periods, focusing on accuracy, latency, ease of integration, and total cost of ownership.

📚 Next Steps

Ready to make your decision? We recommend starting with a hands-on evaluation of both platforms using your specific use case and data.

  • • Review: Check the detailed feature comparison table above
  • • Test: Sign up for free trials and test with real queries
  • • Calculate: Estimate your monthly costs based on expected usage
  • • Decide: Choose the platform that best aligns with your requirements

Last updated: February 3, 2026 | This comparison is regularly reviewed and updated to reflect the latest platform capabilities, pricing, and user feedback.

See Also

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Priyansh Khodiyar's avatar

Priyansh Khodiyar

DevRel at CustomGPT.ai. Passionate about AI and its applications. Here to help you navigate the world of AI tools and make informed decisions for your business.

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