ChatAgentsTrainable AI chatbots built from your websites, documents, and spreadsheets.

4.8 (5)

Reviewed by Daniel Nikulshyn·Updated July 2026

Chatbots No-Code Customer Support Knowledge Base Automation Document AI Lead Generation

Overview

ChatAgents is a no-code AI agent builder that allows users to create trainable AI chatbots from their websites, documents, and spreadsheets. The chatbots are designed to provide on-brand 24/7 customer support, learning from the content provided to deliver accurate and context-specific replies. The platform offers a range of features, including the ability to import brand content, choose AI models, customize chatbot appearance, and refine AI responses. It also includes built-in skills such as sending emails, scheduling appointments, and calling external APIs. ChatAgents is designed for non-technical teams and SMBs, allowing users to create, train, and deploy chatbots without relying on developers. The platform supports integration with various platforms, including websites, WhatsApp, and social media. The chatbots learn from the content provided by the user, which can include website URLs, business documents, product sheets, FAQs, or internal notes. ChatAgents ensures data privacy, not using user content to train or improve global AI models. Overall, ChatAgents provides an efficient solution for businesses to automate customer support and improve productivity through AI-powered chatbots.

Key features

Website crawling for training data
Document and PDF ingestion
Spreadsheet-based knowledge import
Custom chatbot deployment
Knowledge base-driven responses
Automated customer interactions

Pricing

Model: Free
Category: Customer Service
Rating: 4.8 / 5 (5)

Use cases

Automate website customer support

Deploy a chatbot trained on your help docs and website content to answer common customer questions 24/7, reducing support ticket volume.

Internal team knowledge assistant

Ingest internal PDFs, spreadsheets, and documents to create a Q&A agent that helps employees quickly find policies, procedures, or product details.

Lead engagement on marketing sites

Use a trained agent to greet visitors, answer pre-sales questions from your product pages, and guide prospects toward conversion without manual staffing.

Spreadsheet-driven product Q&A

Import product catalogs or FAQ spreadsheets so the bot can respond with accurate pricing, specs, or availability sourced directly from your data.

Pros & Cons

Pros

No-code setup for custom chatbots
Trains on multiple source types
Useful for support and internal knowledge
Reduces repetitive query workload

Cons

Output quality depends on source data
May require ongoing retraining as content changes
Limited transparency on supported integrations

Reviews

4.8

Average from 5 ratings.

Yuki Mori

Apr 28, 2026

Compared a few options

Evaluated this against two competitors. Where it wins: document and PDF ingestion and trains on multiple source types. On balance the feature set — especially knowledge base-driven responses — justifies the 5 stars for our use case.

Victor Nguyen

Nov 15, 2025

Does the job

Pretty happy overall. Custom chatbot deployment just works and trains on multiple source types. Limited transparency on supported integrations can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Tomáš Novák

Sep 12, 2025

Use it every day

Honestly didn't expect to like it this much. Automated customer interactions is exactly what I needed, and useful for support and internal knowledge. but I reach for it almost every day now and it just clicks.

Camille Laurent

Jul 12, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: spreadsheet-based knowledge import and reduces repetitive query workload. On balance the feature set — especially spreadsheet-based knowledge import — justifies the 5 stars for our use case.

Margaret Whitfield

Jul 4, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is custom chatbot deployment — handled better than most — and trains on multiple source types. Worth the time if this is your use case.