Hoverbot

Overview

Hoverbot is a no-code AI chatbot builder that gives businesses a production-ready conversational AI layer without requiring engineering resources. You connect it to your existing knowledge base — FAQs, product docs, policies, CRM data — and deploy it across your website, WhatsApp, Messenger, and Instagram in hours rather than weeks. The platform uses large language models combined with RAG (Retrieval-Augmented Generation) technology, which grounds responses in your actual business data rather than generic model knowledge. This means the chatbot answers questions accurately based on your specific products, policies, and procedures — not fabricated responses. Hoverbot is actively used across real estate, SaaS, healthcare, e-commerce, financial services, and education. Common deployments include lead qualification, customer support, appointment booking, product discovery, and internal helpdesk. Industry-specific Skills (modular chatbot capabilities) let you configure the bot for your domain without custom development.

Features

• RAG-powered knowledge base -- Grounds responses in your actual business data to eliminate hallucinations
• No-code setup -- Configure and deploy a production chatbot in hours without engineering support
• Multi-channel deployment -- Works across website, WhatsApp, Messenger, and Instagram from one platform
• Industry-specific Skills -- Pre-built modular capabilities for real estate, healthcare, SaaS, e-commerce, and more
• Lead qualification flows -- Asks smart qualification questions and captures prospect data automatically
• Appointment booking -- Lets users schedule directly into your calendar without agent involvement
• 24/7 customer support -- Handles support queries around the clock with consistent, on-brand responses
• Human handoff escalation -- Routes complex queries to live agents when the chatbot reaches its limits
• PII masking and compliance -- Strips personally identifiable information from logs for security and compliance
• Audit-ready conversation logs -- Full conversation history for review, QA, and regulatory purposes
• Multimodal input support -- Accepts images and screenshots from users, not just text
• Memory across conversation turns -- Maintains context throughout multi-exchange sessions for coherent dialogue

Best For

E-commerce brands that need 24/7 product discovery and checkout support without expanding support staff, Real estate agencies that want to qualify leads and schedule viewings automatically, SaaS companies deploying customer onboarding guidance and feature discovery bots, Healthcare providers handling appointment booking, FAQs, and patient intake without call overhead, Agencies building and managing AI chatbots for multiple clients from a single platform

How It Works

Hoverbot sets up through a no-code interface where you upload your knowledge base content — FAQs, product documents, support articles, and policies. The RAG architecture indexes this content so the chatbot retrieves the most relevant information before generating each response, reducing hallucinations and keeping answers grounded in your data. Deployment is a widget integration: you add a JavaScript snippet to your website or connect the platform to WhatsApp Business, Messenger, or Instagram DMs. The chatbot handles incoming conversations across all channels through the same interface, maintaining context within each session. Built-in routing logic determines when to respond, when to collect lead information, and when to escalate to a human agent. Intent classification directs queries to the right handling logic — customer support flows separately from sales qualification or booking requests. Conversation memory maintains context across multi-turn exchanges within a session.