Best Artificial Intelligence Software for GitBook

Compare the Top Artificial Intelligence Software that integrates with GitBook as of June 2025

This a list of Artificial Intelligence software that integrates with GitBook. Use the filters on the left to add additional filters for products that have integrations with GitBook. View the products that work with GitBook in the table below.

What is Artificial Intelligence Software for GitBook?

Artificial Intelligence (AI) software is computer technology designed to simulate human intelligence. It can be used to perform tasks that require cognitive abilities, such as problem-solving, data analysis, visual perception and language translation. AI applications range from voice recognition and virtual assistants to autonomous vehicles and medical diagnostics. Compare and read user reviews of the best Artificial Intelligence software for GitBook currently available using the table below. This list is updated regularly.

  • 1
    Intercom

    Intercom

    Intercom

    Intercom is an AI-first customer service platform that enables businesses to deliver personalized and efficient customer support across multiple channels. Founded in 2011, the company offers a comprehensive suite of tools, including the Fin AI Agent, which provides instant, accurate answers to customer inquiries 24/7. Intercom's platform also features AI Copilot, assisting support agents with real-time solutions, and AI Analyst, offering insights and recommendations for support leaders. Trusted by over 25,000 global organizations, including Atlassian, Amazon, and Microsoft, Intercom facilitates over 500 million messages per month, enhancing customer interactions and support efficiency. Headquartered in San Francisco, with offices in Chicago, Dublin, Sydney, and London, Intercom continues to innovate in the customer service industry.
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    Starting Price: $29/seat/month
  • 2
    HelpHub

    HelpHub

    CommandBar

    HelpHub allows you to show help documents, AI-generated Instant Answers, and more to users anywhere in your app. With HelpHub, your users can get unstuck and get the help they need without exiting your app's flow. Because of this, when HelpHub is adopted, our customers typically see their conversion rates increase. To make help documents and Instant Answers searchable, HelpHub uses semantic search. Semantic search matches on not just the words themselves, but on the meaning of words — this allows your users to search for a non-exact phrase, and still get results. This is very powerful — for example, users often don't know the exact terminology of your app. If they enter something that's roughly along the lines of the terminology you use, they will often still get results that answer their question!
    Starting Price: $50 per month
  • 3
    SIA

    SIA

    SIA

    Scogo.ai offers SIA, a customizable, no-code AI agent designed to enhance customer support by providing 24/7 multilingual assistance across voice, chat, WhatsApp, and email channels. SIA is capable of resolving up to 80% of customer queries, processing text, images, and voice inputs to deliver human-like, collaborative interactions. The platform ensures secure and accurate responses, aligning with your brand's unique tone and policies. SIA can be set up instantly without requiring sign-up or credit card information, making it accessible for businesses seeking to improve customer engagement and build brand loyalty. The AI agent is built to handle various customer support workloads, including product issue resolution, field service management, reseller support, human-agent collaboration, and product recommendations. With support for over 50 languages, SIA caters to a global audience, ensuring effective communication with diverse customer bases.
  • 4
    Twig

    Twig

    Twig

    Twig semantically analyzes your documentation, knowledge bases, and past support tickets. Answering complex customer questions and reducing costs by 30%. AI models are trained on publicly available data. Increase productivity and reduce variance in support quality. Twig is an AI layer that works on top of your existing customer support applications. Twig helps your support agents respond quickly to customers with better responses. We use the latest AI has to offer to make every support agent a superstar. AI scans through all your documentation, knowledge bases, support tickets, etc to provide a recommended response. Citations help you know that the response is accurate and increases trust. AI betters itself by learning from your agents. Improving agent productivity and keeping high-quality CSAT is critical to every CX organization. Brings higher minimum standards on response quality and helps agents notice potential risks in responses.
  • 5
    HelpBar

    HelpBar

    HelpBar

    HelpBar enables users to search help resources, navigate your product, and launch other “actions” from within your product, helping them get answers and achieve success quickly. Let users find exactly what they need without going to another tab—AI answers draw responses from all the content you input for a speedy search. HelpBar makes navigating your app a breeze. Enable users to learn fast and speed through the work they need to get done. Keep users in your app while using their favorite tools. Launch Loom videos, showcase interactive demos, share Figma prototypes, and more.
  • 6
    Markprompt

    Markprompt

    Markprompt

    Handle more support volume by giving your team AI superpowers instead of increasing headcount. Markprompt fits in at all touch points in the agent and customer journey. Bring customer support to the next level by deeply integrating it into your product and across touch points. With our REST APIs, JavaScript libraries, and headless React components, you can build customer support as an integral part of the user experience. Give your customer support team the tools they need to automate the mundane, so they can focus on what matters, delighting customers. Configure the instructions, behavior, and design of your chatbots and agent apps, and experiment with them in a playground environment before deploying. Learn how your customers and agents interact with your AI apps to spot deficiencies in your knowledge and address them.
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