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
Freemium
Plataforma de chatbots de IA para criar assistentes com fontes citadas
O que é Denser?
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.
O que Denser pode fazer?
Cited answers
Every answer includes a citation to the exact source passage, so readers can verify where the response came from.
Large knowledge-base support
The site says Denser can index hundreds of thousands of pages per chatbot while keeping answer quality steady.
Multiple deployment options
The website chatbot can be embedded with a snippet or used through script, iframe, React, or REST API options, according to the product pages.
Operational tools
Built-in chat logs, analytics, lead capture forms, and custom AI actions help teams review conversations, capture visitors, and trigger workflows.
Continuous updates
The pricing and product pages mention continuous chatbot training, so the bot can be updated as content changes.
Casos de uso
“Website support assistant”
Add a chatbot to a public website that answers visitor questions from your published content, with citations and branding controls.
“Lead generation and pre-sales”
Collect and qualify interest from prospects by pairing answers with lead capture forms, chat logs, and custom actions.
“Internal knowledge base Q&A”
Let employees or internal teams search policies, handbooks, or document libraries through a cited chat interface instead of manual searching.
“Document chat and research”
Handle document-heavy questions for PDFs, Word files, slide decks, or uploaded files where source passages need to stay visible.
“Multi-channel deployment”
Route a bot into Slack, WhatsApp, WordPress, Shopify, the REST API, or SDK-based workflows when a site widget alone is not enough.
Perguntas frequentes
What does Denser do?
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.
How quickly can I get a chatbot live?
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.
Is there a free plan?
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.
Where can I deploy a Denser chatbot?
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.
Who is Denser best suited for?
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.
Informações rápidas
- Category
- AI chatbot platform
- Primary use
- Website chatbot and knowledge base chatbot
- Source domain
- denser.ai
- Setup
- No-code, with website setup described as taking about 5 minutes
- Content sources
- Websites, PDFs, Word docs, slide decks, web pages, Google Drive documents, and Q&A pairs
- Pricing
- Free plan plus paid tiers
Análise de tráfego de Denser
Os dados de tráfego são apenas para referência.
- Classificação do domínio
- 58
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