Train on your own content
Build a chatbot from website content, uploaded PDFs, Word documents, slide decks, web pages, or manual Q&A pairs, then have it answer from that content.
Denser is an AI chatbot platform for cited, no-code assistants built from website content, PDFs, and knowledge base material.
Denser is an AI chatbot platform that turns website content, PDFs, documents, and knowledge bases into a cited conversational assistant. It is designed for teams that want answers grounded in their own source material instead of general-purpose responses.
The product focuses on two main setups: a website chatbot for customer-facing support, lead capture, and pre-sales, and a knowledge base chatbot for internal document Q&A and research. The pages emphasize no-code setup, source citations on every answer, and the ability to handle large content libraries as they grow.
Build a chatbot from website content, uploaded PDFs, Word documents, slide decks, web pages, or manual Q&A pairs, then have it answer from that content.
Every answer includes a citation to the exact source passage, so readers can verify where the response came from.
The site says Denser can index hundreds of thousands of pages per chatbot while keeping answer quality steady.
The website chatbot can be embedded with a snippet or used through script, iframe, React, or REST API options, according to the product pages.
Built-in chat logs, analytics, lead capture forms, and custom AI actions help teams review conversations, capture visitors, and trigger workflows.
The pricing and product pages mention continuous chatbot training, so the bot can be updated as content changes.
Add a chatbot to a public website that answers visitor questions from your published content, with citations and branding controls.
Collect and qualify interest from prospects by pairing answers with lead capture forms, chat logs, and custom actions.
Let employees or internal teams search policies, handbooks, or document libraries through a cited chat interface instead of manual searching.
Handle document-heavy questions for PDFs, Word files, slide decks, or uploaded files where source passages need to stay visible.
Route a bot into Slack, WhatsApp, WordPress, Shopify, the REST API, or SDK-based workflows when a site widget alone is not enough.
Denser lets you build a website chatbot or a knowledge base chatbot from your website content, PDFs, documents, or Q&A data. It indexes the content, then returns cited answers from the source passages.
The site describes setup as taking about 5 minutes and requiring no code for the website chatbot use case. You can start from a URL or upload documents, then embed the chatbot on your site.
The pricing page shows a free plan and paid plans for more usage, larger knowledge bases, custom domains, and advanced features. Higher tiers add team members, longer query-log retention, and support options.
Denser’s comparison page says the chatbot can be deployed on a website as a widget or inline frame, and also through Slack, WhatsApp, WordPress, Shopify, the REST API, and TypeScript and Python SDKs.
The comparison and how-it-works pages present Denser as a fit when cited answers, large knowledge bases, and verifiable output matter. It is positioned for website support, internal knowledge, document Q&A, and related workflows.