Free
$0Free plan available.
Introduction:
Web2Chat is a platform for building AI chatbots trained on your website's specific content. It provides tools to customize your chatbot's branding, manage live chat sessions, collect customer insights, and analyze performance data in one place. By training directly on your site's information, Web2Chat equips your website with a personal AI assistant capable of providing instant responses to visitor questions.
Web2Chat Product Information
What is Web2Chat?
Web2Chat is a platform that allows users to create AI chatbots tailored to their website's content. It offers features such as customizing the chatbot to match the brand, engaging in live chat, gathering customer insights, and delving into useful analytics, all within one platform. Web2Chat empowers websites with a personal AI assistant that is trained directly on the website's content, ready to instantly respond to visitor inquiries.
How to use Web2Chat?
To use Web2Chat, provide your website content or specific text files to the platform. Once the AI has been trained on these resources, the chatbot is ready to answer queries based on your site's information. You can then integrate the chatbot into your website using the provided embed code or by linking to it directly.
Web2Chat's Core Features
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AI chatbot creation trained on website content
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Customization to match brand
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Live chat engagement
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Customer insights and analytics
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Multi-language support
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Capture user information
Web2Chat Use Cases
#1
Automating customer support responses
#2
Providing instant answers to visitor inquiries
#3
Gathering user data and feedback
#4
Enhancing user engagement on websites
FAQ from Web2Chat
Is there a trial period or free plan? +
Yes, Web2Chat provides a free plan that includes 1 bot, scraping for up to 10 pages, a limit of 100,000 characters per chatbot, embedding on unlimited websites, and 30 message credits per month.
What kind of information is required to train the chatbot? +
You can train the chatbot using a website URL, a sitemap URL, Zendesk articles, or various file formats such as PDFs, markdown, and text files.
How can the chatbot be added to my website? +
Every chatbot is assigned a unique URL. You can add it to your site by using the provided embed code or by creating a direct link to the chatbot.
Can I access the interactions between users and the chatbot? +
Yes, the 'Inbox' feature provides a comprehensive log of all conversations between your bot and users, including relevant data such as user location and browser type.
Is the chatbot customizable? +
Yes. The platform offers extensive customization options, including settings for training data, user experience, AI behavior, and visual appearance.
Are all chatbot messages stored? +
Yes, AI responses to common questions are saved to improve response times and optimize your message credit usage.
Is there language support for non-English websites? +
Yes, the chatbot supports multiple languages and can answer questions in any language.
How do message credits work? +
Message credits are based on the AI's output. Each message generated by the AI consumes credits, with the total available amount determined by your specific plan.
Can I upload multiple files to one chatbot? +
Yes, you can train a single chatbot by uploading multiple files, such as PDFs or Word documents, or by feeding data from your APIs.
What counts as one chatbot? +
One chatbot represents a single set of training data and configuration. If you require a bot trained on a different dataset, it is considered a separate chatbot.
What is Web2chat Messenger? +
Web2chat Messenger is our proprietary, fully customizable chat interface designed for website embedding. It supports multi-user conversations and includes live chat functionality for real-time interaction.
Can I capture user information as well? +
Yes, you can collect user details such as location and browser type during chat sessions. Please ensure you comply with all applicable local and international data privacy regulations when collecting this information.
Web2Chat Pricing
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