361
AI Tools
Home/Best for/Best AI Tools for Customer Support
Curated · 4 tools

Best AI Tools for Customer Support

Automate support with AI chatbots, omnichannel messaging, and intelligent ticket routing.

Avg score
6.6
Monthly cost
$0/mo
Anchor tool
Tidio
The lineup

What goes in

In the order we'd set it up. Start with the anchor, add supporting tools as you grow.

Step
01
Tidio logo

Tidio

· freemium · freemium

Tidio is a customer service platform combining live chat, AI chatbots (Lyro), and helpdesk tools. It helps small businesses automate up to 70% of customer inquiries.

7.3/10Full review →
Pros
  • Lyro AI chatbot resolves 70% of queries
  • Excellent Shopify integration
  • Very easy to set up
Cons
  • AI chatbot limited on free plan
  • Can get expensive with many operators
  • Email marketing is basic
Step
02
SleekFlow logo

SleekFlow

· freemium · freemium

SleekFlow is an omnichannel social commerce platform that unifies WhatsApp, Instagram, Facebook Messenger, and other channels for sales and support.

6.8/10Full review →
Pros
  • All messaging channels in one inbox
  • WhatsApp Business API integration
  • In-chat payment links
Cons
  • Can get expensive with scale
  • WhatsApp charges per conversation
  • Limited AI capabilities
Step
03
Landbot logo

Landbot

· freemium · freemium

Landbot is a no-code chatbot builder for creating conversational landing pages and WhatsApp chatbots that capture leads and automate customer interactions.

5.8/10Full review →
Pros
  • Beautiful visual bot builder
  • WhatsApp integration is seamless
  • Conversational landing pages convert well
Cons
  • Free plan is very limited
  • Advanced logic requires higher plans
  • No voice bot support
Step
04
Hume AI logo

Hume AI

· freemium · freemium

Hume AI provides emotion AI APIs that can detect and understand human emotions from voice, face, and language. Used for healthcare, customer service, and UX research.

6.6/10Full review →
Pros
  • Most advanced emotion AI available
  • Multi-modal (voice + face + text)
  • Real-time processing capability
Cons
  • Developer-focused — not for non-technical users
  • Free tier is limited
  • Requires ML knowledge to integrate well
FAQ

Frequently asked