AI agent for customer support, sales, and marketing
DeepAgent is a conversational AI agent that functions beyond natural language processing (NLP). It doesn’t just chat–it takes actions autonomously.
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AI native workflows for customer support, marketing, and inbound sales
Agent-level workflow automations that eliminate the sales reps, customer support reps, and marketers’ interventions.
Customer Support
Cross-channel customer support automation with contextual understanding that caters according to user intent.
Marketing
Captures lead data in all customer journey stages and retargets users based on their intent and actions.
Inbound Sales
Accelerates sales pipeline with warm lead identification and targeting.
The Complete AI sales agent creation platform
24/7 Availability
Accurate Responses
Multilingual communication
Conversational selling
No-code Chatbot builder
How DeepBot.Ai Works
The simplified steps on how DeepBot.Ai, an AI sales agent, works
Train
Upload FAQs, files, or links to train this no-code AI chatbot
Re-train
Test the AI responses, check accuracy, and re-train it.
Deploy
Embed the AI chatbot on your website with a simple code.
Engage
Ask questions, recommend offers, and solve customer problems 24/7
Convert
Generate leads, Schedule demos, and turn visitors into paying customers with conversational AI sales agent
The fastest way to plug AI chatbot into your website
Bot building: Train with your own private and public data via the built-in RAG framework.
Leverage pre-built AI native workflows or create custom workflows.
Embed on your website.
Context-aware AI chatbot for personalized customer support
Contextually responsive: generates accurate human-like personalized responses every time with sentiment analysis and user behavior.
Accurate responses: DeepAgent uses the RAG framework to train on your knowledge base or website data to eliminate hallucinations and fabricated responses.
Identifies user intent quickly, reducing back-and-forth communication–reducing 56% decrease in waiting time.
Conversational marketing for smarter lead generation and lead nurturing
Progressive profiling: Collects data incrementally over multiple interactions rather than all at once–DeepAgent uses gamification to collect lead data.
Implicit data collection: DeepAgent gathers user data without directly asking for it–tracks pages visited, time spent, and interaction choices.
Conversational data enrichment: It enriches data during real-time conversations without making it feel like a form-filling process.
Contextual product recommendation: The conversational agent adjusts product recommendations in real-time based on the user’s inputs and their behavior.
Conversational lead qualification to shorten sales cycles
Automatically identifies warm and hot leads via intent, purchase signals, and user conversational behaviors.
Targets warm and hot leads at the right time with automated inbound sales engagement, qualification, and follow-up to maximize the conversion rate by 27%.
Accelerates sales cycle by delivering well-qualified and context-rich leads to sales reps, improving follow-up effectiveness.
