I tested 7 tools to find the best AI documentation assistant in 2025

Stevia Putri
Written by

Stevia Putri

Amogh Sarda
Reviewed by

Amogh Sarda

Last edited October 22, 2025

Expert Verified

Let's be honest. Documentation is the chore on the to-do list that everyone agrees is important, but nobody really wants to do. It’s tedious, takes way too long, and feels like it’s outdated the minute you hit publish. We've all been there, spending hours writing guides that only a few people will ever read.

But what if you could offload most of that work? AI promises to do just that, acting as an assistant that can write, organize, and update your knowledge base while you do more important things. The market is full of tools claiming to be the answer, so I decided to roll up my sleeves and actually put them to the test.

I reviewed seven of the top AI documentation tools, eesel AI, Mintlify, Notion AI, Scribe, GitBook, Swimm AI, and Document360, to see which ones hold up. This is a real, hands-on look at what works, what doesn’t, and which tool might be the right fit for you.

What defines the best AI documentation assistant?

Simply put, an AI documentation assistant is a tool that uses artificial intelligence to help you create and manage all your company knowledge. Think of it as a tireless teammate that handles the boring parts of documentation, freeing you up to focus on work that actually requires your brain.

It can do things like draft articles from a simple prompt, summarize long documents, translate content, or even generate step-by-step guides from a screen recording. The really good ones go a step further by connecting to the apps you already use, learning from your existing data, and keeping everything up-to-date automatically. The goal is pretty straightforward: do less manual work, keep information accurate, and help your team and customers find answers fast.

How we picked the best AI documentation assistant

To cut through the marketing noise, I judged each tool against a few practical questions. This isn't about ticking off feature boxes; it's about how these tools actually feel to use in a real work environment.

  • Quick setup: How fast can you get it working? I looked for tools that you could set up in minutes, not months, without having to sit through a lengthy sales call just to get started.

  • Plays well with others: Does it connect to the tools you already use? The best assistants plug into your help desks, wikis, and chat apps without forcing you to change how you work.

  • Actually useful answers: Does the AI give you specific, helpful answers, or just generic nonsense? The aim is to get context-aware information that understands your business.

  • You're in control: Can you tweak it to fit your needs? I prioritized tools that let you define the AI's tone, control its knowledge sources, and customize what it does.

  • Clear pricing: Are the costs easy to understand? Nobody likes surprise fees, so I looked for straightforward pricing without hidden charges.

Finding the best AI documentation assistant in 2025: A quick comparison

For those who just want the highlights, here’s a quick rundown of the tools I tested.

ToolBest ForKey IntegrationsStarting PriceG2 Rating
eesel AICustomer service, ITSM & internal knowledgeZendesk, Slack, Confluence, Google Docs$239/mo4.8/5
MintlifyDeveloper docs & API referencesGitHub, OpenAPI, Vercel$150/mo4.9/5
Notion AIAll-in-one team wikis & project docsSlack, Jira, GitHub$8/user/mo4.7/5
ScribeStep-by-step process guidesChrome, Edge, ConfluenceFree plan available4.8/5
GitBookTechnical documentation & coursewareGitHub, GitLab, SlackFree plan available4.6/5
Swimm AIKeeping code documentation in syncGitHub, GitLab, VS Code, JetBrainsFree plan available4.7/5
Document360Enterprise knowledge basesZendesk, Intercom, MS Teams$149/mo4.7/5

A deep dive into the 7 tools

Alright, let's get into the nitty-gritty. Here’s a closer look at each tool, what it’s good at, where it misses the mark, and what it’ll cost you.

1. eesel AI

eesel AI is built to automate documentation and workflows for customer service, IT, and internal support teams. It plugs straight into your help desk (like Zendesk or Freshdesk), chat tools (like Slack), and all your other scattered knowledge sources to create one central brain that can answer questions, draft replies, and even resolve tickets on its own.

An infographic showing how eesel AI connects to various knowledge sources like help desks, wikis, and chat tools, illustrating its role as the best AI documentation assistant for integrated knowledge.
An infographic showing how eesel AI connects to various knowledge sources like help desks, wikis, and chat tools, illustrating its role as the best AI documentation assistant for integrated knowledge.

Why it's on the list: While a lot of tools are either generic or built for developers, eesel AI is designed for the messy reality of a support team. What really stood out to me was its incredibly simple, self-serve setup. You can connect it to your tools and have it learning from your team's past support tickets in a matter of minutes. There are no mandatory demos or sales calls just to try it. It also has a powerful simulation mode that lets you test its performance on your old tickets, so you know exactly what your ROI will be before you turn it on.

A screenshot of the eesel AI simulation mode, which helps users find the best AI documentation assistant by testing performance on past tickets.
A screenshot of the eesel AI simulation mode, which helps users find the best AI documentation assistant by testing performance on past tickets.

Pros:

  • Learns from past tickets: It digs through your historical conversations to understand your business and brand voice from day one, so the answers it gives are genuinely helpful.

  • Powerful simulations: You can test the AI on thousands of your past tickets to see how it would have responded, which gives you a ton of confidence before going live.

  • Connects to everything: It links up with help desks, wikis like Confluence and Google Docs, and chat tools to pull all your knowledge together.

  • Lots of customization: You get a ton of control. You can define the AI's personality, decide which tickets it should handle, and even create custom actions to do things like look up order info in Shopify or escalate a ticket to a specific person.

Cons:

  • It’s not really built for creating public, long-form developer docs like API references. It shines with internal, operational knowledge.

  • The best features, like training on past tickets and creating custom API actions, are on the Business plan.

Pricing:

  • Team Plan: $299/month ($239/month if billed annually). Gives you up to 3 bots, 1,000 AI interactions, and integrations with sources like your help center, docs, and Slack.

  • Business Plan: $799/month ($639/month if billed annually). You get unlimited bots, 3,000 interactions, and unlock the key features like training on tickets, custom AI actions, and bulk simulations.

  • Custom Plan: For enterprise needs like advanced security, custom integrations, and unlimited interactions.

2. Mintlify

Mintlify is an AI-native platform for creating good-looking, interactive, and smart developer documentation. Its entire reason for being is to make API references and technical guides easy to build and actually enjoyable for developers to use.

Why it's on the list: Mintlify has become a go-to choice for modern developer portals. The design is clean and professional right out of the box, and its AI features are built from the ground up to help write and maintain technical content. If your audience is developers, this is a very strong contender.

Pros:

  • Beautiful, responsive design that looks great with minimal effort.

  • AI-powered writing and maintenance helps keep technical docs from getting stale.

  • Great for API documentation, with features like interactive code examples.

Cons:

  • It's very specialized. It’s built for developer-facing docs and isn't a great fit for internal team wikis or customer support knowledge bases.

  • For simple projects, its features can feel like more than you need.

Pricing:

  • Hobby: Free for individuals. Includes the full platform and a custom domain.

  • Pro: Starts at $150/month. Includes team members, an AI assistant, and preview deployments.

  • Custom: Custom pricing for enterprise needs like SSO and premium support.

3. Notion AI

Notion is that flexible, all-in-one workspace that teams use for pretty much everything, from notes and tasks to complete company wikis. Notion AI is baked right into the platform, letting you summarize meeting notes, draft project plans, and organize content without leaving your page.

Why it's on the list: For the millions of teams already working in Notion, adding its AI features is a no-brainer. It's incredibly versatile for creating and managing all kinds of internal docs and makes teamwork feel much smoother.

Pros:

  • Perfectly blended into the Notion workspace you already know.

  • Highly flexible for a wide range of documents, like wikis, project specs, and meeting notes.

  • Easy and intuitive to use. If you know how to use Notion, you're all set.

Cons:

  • Its knowledge is trapped inside Notion. It can't learn from other sources like your help desk or Slack without you building custom integrations.

  • It’s not designed for automated support tasks like sorting tickets or providing auto-replies.

  • It doesn't have the direct, one-click connections to support tools that other platforms offer.

Pricing:

  • Notion AI is an add-on to existing Notion plans.

  • Plus Plan: $10 per user/month ($8/user/mo annually).

  • Business Plan: $20 per user/month ($15/user/mo annually).

  • Enterprise: Custom pricing.

4. Scribe

Scribe does one thing, and it does it exceptionally well. It automatically creates how-to guides by recording your screen as you work. It captures every click and keystroke, then instantly turns it all into a step-by-step guide with annotated screenshots and written instructions.

Why it's on the list: It solves a very specific and annoying documentation problem: showing someone how to do something. For creating training materials, standard operating procedures (SOPs), or customer tutorials, it's shockingly fast.

Pros:

  • The absolute fastest way to create visual, step-by-step guides.

  • Perfect for process documentation, employee onboarding, and customer training.

  • Guides can be easily shared with a link or dropped into other knowledge bases.

Cons:

  • It’s a one-trick pony, not meant for general documentation or answering questions.

  • The AI is focused on capturing a process, not on understanding and responding to questions.

Pricing:

  • Basic: Free. Lets you create guides for web apps.

  • Pro: $29/user/month ($23/user/mo annually). Adds desktop capture, custom branding, and screenshot editing.

  • Enterprise: Custom pricing for advanced features like auto-redaction and SSO.

5. GitBook

GitBook helps teams create and manage public documentation, from technical guides to knowledge bases and online courses. Its AI features can answer user questions, search for information in your docs, and generate summaries to help readers find what they need more quickly.

Why it's on the list: GitBook has a solid reputation in the technical writing world for a good reason. It’s a reliable, collaborative platform for creating structured documentation, with a tight Git integration that developers really like. The AI features add a helpful layer of intelligence that makes the reader's experience better.

Pros:

  • Excellent collaboration features, including Git Sync with GitHub and GitLab.

  • AI-powered search helps users get answers without having to read through pages of text.

  • Flexible enough for both internal team docs and external-facing knowledge bases.

Cons:

  • The user interface can feel a bit behind the times compared to newer tools like Mintlify.

  • Its AI is mainly focused on search and summarization, not on creating content or automating workflows.

Pricing:

  • Free: For personal projects and open-source teams.

  • Premium: Starts at $65/site/month + $12/user/month (annually). Includes a custom domain and AI-powered answers.

  • Ultimate: Starts at $249/site/month + $12/user/month (annually). Adds features like authenticated access and an AI Assistant.

6. Swimm AI

Swimm is a documentation platform built to solve the age-old problem of stale docs in software development. It connects directly to your code repository and uses AI to make sure your documentation automatically updates whenever the code it's describing changes.

Why it's on the list: It tackles a huge pain point for engineering teams. By tying documentation directly to the code, Swimm makes docs a reliable part of the development process, not just an afterthought that’s always out of date.

Pros:

  • Automatically flags when documentation is out-of-date and helps you fix it.

  • Fits right into the developer's workflow through IDE plugins and CI/CD checks.

  • The "Auto-sync" feature is fantastic for keeping docs and code aligned.

Cons:

  • It's only for code-related documentation. Don't try to use it for your company handbook.

  • The pricing is usage-based on lines of code, which can be hard to predict. You have to talk to their sales team for a quote, making it tough to budget.

Pricing:

  • Swimm has usage-based pricing based on the number of lines of code you want it to analyze. You have to get a demo for a custom quote. A free plan is available to get started.

7. Document360

Document360 is a heavy-duty platform for building and managing large, formal knowledge bases. Its AI assistant, "Eddy," helps with writing articles, improving existing content, and powering a pretty sophisticated search experience for users.

Why it's on the list: For larger companies that need a powerful, scalable solution for their official knowledge base, Document360 is a top choice. It offers robust features for versioning, analytics, and content management that smaller tools just don't have.

Pros:

  • Powerful features for managing huge amounts of documentation, including version control and approval workflows.

  • Advanced analytics to see how your documentation is actually being used.

  • AI features help with both writing new content and helping users find it.

Cons:

  • The platform can be complex and expensive, making it overkill for smaller teams.

  • It's less focused on learning from unstructured places like support tickets or chat messages.

Pricing:

  • Professional: Starts at $199/project/month ($149/mo annually).

  • Business: Starts at $399/project/month ($299/mo annually).

  • Enterprise: Starts at $599/project/month ($499/mo annually).

How to choose the best AI documentation assistant for your team

The "best" tool is simply the one that fits what you actually do. Trying to use a developer tool for customer support (or vice versa) is just going to lead to headaches. Here’s a simple way to think about it:

  • If your world revolves around customer support or internal knowledge, and your info is spread across help desks, wikis, and chat tools, eesel AI is your best bet. It's built specifically to pull all that scattered knowledge together and make it useful.

  • If you're building a public developer portal or API reference, you really can't go wrong with Mintlify. Its design and developer-first features are top-notch.

  • If your team already lives and breathes Notion, just stick with Notion AI. It's a smooth and powerful upgrade to a tool you already rely on.

  • If you mostly need to create visual, step-by-step training guides, Scribe is in a class of its own. It will save you a ridiculous amount of time.

  • If your biggest problem is keeping code documentation perfectly aligned with your code, then Swimm AI is the only tool that really nails this.

Pro Tip
Before you pull out the credit card, sign up for a free trial. Test the tool with your own content and your real workflows. The best way to know if something will work for you is to actually try it.

Finding the best AI documentation assistant for your team

AI documentation assistants aren't just a futuristic idea anymore. They're becoming a must-have for any team that wants to manage knowledge well. Whether you're supporting customers, onboarding new hires, or helping developers use your product, the right tool can save you hundreds of hours of mind-numbing work.

The trick is to pick the tool that's built for your specific job. For teams trying to turn their scattered support and internal knowledge into an intelligent, automated system, one option clearly stands out.

Instead of just writing docs that sit on a shelf, it’s time to put your knowledge to work. Get started with eesel AI for free and see how quickly you can automate your support documentation.

Frequently asked questions

The best AI documentation assistant depends entirely on your primary use case. Consider if you need a tool for customer support, developer docs, internal wikis, or step-by-step guides, then choose one specifically designed for that purpose. Testing with a free trial and your own content is always recommended to ensure a perfect fit.

Yes, several tools offer free plans or lower-cost tiers that are ideal for small teams or individuals. Scribe and GitBook, for example, have free plans, while Notion AI is an affordable add-on if you're already using Notion. Focus on tools that offer self-serve setup and clear, scalable pricing.

Pricing varies widely, from free plans offered by tools like Scribe and GitBook, to premium plans reaching hundreds or even thousands of dollars per month for enterprise solutions. Many tools base pricing on users, interactions, or specific feature sets, with annual billing often providing a discount.

Integrations are crucial for an AI documentation assistant to be truly effective. Look for tools that connect seamlessly with your existing help desks, wikis, chat apps, and code repositories to pull all your knowledge into one place. This ensures the AI has comprehensive data to work with and fits into your current workflows.

While the best AI documentation assistant can automate a significant portion of tedious tasks like drafting, summarizing, and updating, human oversight remains essential. AI excels at generating content and answering queries based on existing data, but a human touch is still needed to ensure accuracy, tone, and strategic content planning.

Many of the top tools prioritize quick and self-serve setup, allowing you to connect integrations and start learning from your data in minutes. Tools like eesel AI and Scribe are designed for rapid deployment, often without the need for lengthy sales calls or complex configurations.

Ensuring accuracy involves defining the AI's knowledge sources, providing clear instructions for content generation, and utilizing features like "simulation mode" to test its responses. Regular review and refinement by human experts are also vital to maintain high-quality and contextually relevant documentation.

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Stevia Putri

Stevia Putri is a marketing generalist at eesel AI, where she helps turn powerful AI tools into stories that resonate. She’s driven by curiosity, clarity, and the human side of technology.