AI chatbot

AI chatbots are conversational interfaces that handle customer inquiries, provide support, qualify leads, and automate interactions using natural language processing. Used by businesses, e-commerce sites, SaaS companies, and service providers to reduce support costs, improve response times, and scale customer engagement without expanding human teams.
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Explore AI chatbot

ChatGPTFrench.org
Freemium

ChatGPTFrench.org

ChatGPTFrench provides OpenAI's ChatGPT in French, built on the GPT-3.5 model, free and without registration. Users can type or use the voice-to-text feature with the microphone for instant answers. The platform also allows conversation download.

Free18.46 eurosFeatured
ChatHub AI
Paid

ChatHub AI

ChatHub is a platform where you can talk with multiple AI chatbots at the same time like GPT-4.0, Claude 4, and Gemini 2.5 in 1 window. This is a smart AI model that compares the asked question with 4-5 LLM models and then gives the best answer. You can talk to 6 chatbots continuously and compare your answers. There are more than 20 models which can be used differently. There is no coding requirement. It can be used directly in mobile, web, and Chrome. To use ChatHub, first install it. Choose more than 4 models. Provide your API. And start the chat. As soon as the chat starts, all the models will start giving their answers. Pick the best answer. And keep the chat going.

$39/month$19/month
Dippy
Paid

Dippy

Dippy is a smart virtual companion platform that you can use directly on your mobile. You can completely customize your partner and ask for photos from him/her. And you can have completely unfiltered conversations. They connect with you mentally and emotionally and understand what you say by loving you. Companions with different personality, appearance and interest are available. If you want to talk to someone, solve a problem, have a joke or talk about your family, then this platform is great for you because you will be sharing things with different types of people. To use it, download it from Google Play Store or App Store. Create a new companion for yourself. Give him/her your new personality and have long conversations with him/her.

$12.99/month$119.99/year

What is AI chatbot?

AI chatbots are automated conversational agents that interact with users through text or voice interfaces to answer questions, resolve issues, and guide users through processes. They solve the scalability problem of customer support by handling high volumes of routine inquiries 24/7 without human intervention. Unlike rule-based chatbots with scripted responses, modern AI chatbots use large language models to understand intent, maintain context, and generate natural responses. They integrate with business systems to access customer data, process transactions, and escalate complex issues to human agents. Core technologies include natural language understanding, intent classification, dialogue management, and CRM integrations.

AI chatbot Core Features

  • Natural Language Understanding
    Interpret user questions in conversational language without requiring exact keyword matches or menu navigation.
  • Multi-Channel Deployment
    Deploy across websites, mobile apps, Facebook Messenger, WhatsApp, SMS, and other messaging platforms from one interface.
  • Intent Recognition and Routing
    Identify user goals and route conversations to appropriate workflows, knowledge bases, or human agents.
  • Knowledge Base Integration
    Connect to help documentation, FAQs, and internal knowledge bases for accurate, up-to-date responses.
  • CRM and Ticketing Integration
    Access customer history, create support tickets, and update records in Salesforce, Zendesk, or Intercom.
  • Lead Qualification and Capture
    Collect contact information, qualify prospects, and schedule sales calls through conversational forms.
  • Sentiment Analysis
    Detect customer frustration or satisfaction and adjust responses or escalate to humans accordingly.
  • Analytics and Reporting
    Track conversation metrics, common questions, resolution rates, and user satisfaction scores.
  • Multilingual Support
    Communicate in multiple languages with automatic detection and translation capabilities.

Common Questions About AI chatbot

What percentage of customer inquiries can chatbots handle?
Well-configured chatbots handle 60-80% of routine inquiries including FAQs, order status, password resets, and basic troubleshooting. Complex technical issues, billing disputes, and emotionally charged situations typically require human agents. Success rates depend on industry, use case complexity, and chatbot training quality.
How do chatbots integrate with existing customer service systems?
Most platforms offer pre-built integrations with major CRMs (Salesforce, HubSpot), help desks (Zendesk, Freshdesk), and communication tools (Slack, Teams). Custom integrations use webhooks or REST APIs. Enterprise deployments may require IT involvement for authentication, data mapping, and workflow configuration.
Do chatbots replace human customer service agents?
They augment rather than replace human teams. Chatbots handle high-volume, repetitive queries, freeing agents for complex issues requiring empathy, judgment, and creative problem-solving. Most effective implementations use chatbots for tier-1 support with seamless handoff to humans when needed.
How long does it take to implement a chatbot?
Simple chatbots with pre-built templates deploy in days. Custom implementations with CRM integration, knowledge base training, and workflow customization take 2-8 weeks. Enterprise deployments with compliance requirements, multi-language support, and complex integrations may require 2-6 months.
What are typical ROI metrics for chatbot deployment?
Common metrics include 30-50% reduction in support ticket volume, 40-60% faster response times, 24/7 availability, and $0.50-2.00 cost per conversation versus $5-15 for human agents. ROI typically appears within 3-6 months for medium to high-volume support operations.
Can chatbots handle voice conversations or only text?
Many modern chatbots support both text and voice through speech-to-text and text-to-speech integration. Voice capabilities work via phone systems, smart speakers, or voice-enabled apps. However, text-based chatbots remain more accurate and cost-effective for most use cases in 2026.
How do I measure chatbot success?
Key metrics include resolution rate (% of conversations resolved without human help), average handling time, user satisfaction scores (CSAT), containment rate, and cost per conversation. Track conversation drop-off points to identify where chatbot fails and needs improvement.