Built for Docs

AI Chatbot & Search for Documentation

Add an AI chatbot and natural language search to your docs. "How do I configure SSO?" finds the right article instantly—reducing support tickets by up to 80%.

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14-day free trial • No credit card required • REST API + WordPress plugin

Semantic search
Natural language queries
AI chat assistant
REST API
The Problem

Users can't find answers without AI-powered search

Traditional docs search relies on exact keyword matching. Users know what they want to do—they just don't use the same words your documentation uses. AI search fixes that.

"How do I set up single sign-on?"

Finds your SSO/SAML configuration guide instantly

"Why is my API returning 403?"

Surfaces authentication troubleshooting articles

"Connect my app to the database"

Matches database connection tutorials by intent

"Rate limits for the search endpoint"

Finds API reference docs for specific endpoints

In Action

Natural conversations that find answers

Your AI understands technical questions and points users to the right documentation.

💻

API Question

How do I authenticate API requests?
API requests use Bearer token authentication. Include your API key in the Authorization header like this. 'Authorization. Bearer your_api_key'. You can generate API keys in your dashboard under Settings > API Keys. Want me to show you a code example?
🔧

Troubleshooting

I'm getting a 429 error
A 429 error means you've hit our rate limits. The search endpoint allows 100 requests per minute. You can check your current usage in the dashboard. Would you like me to explain rate limit headers or show you how to handle rate limiting in your code?
🔍

Feature Discovery

Can I filter search results by date?
Yes! Use the 'date_range' parameter in your search query. You can filter by 'last_7_days', 'last_30_days', or provide custom start/end dates. Here's the documentation for search filters.
⚙️

Configuration

How do I set up webhooks for new orders?
You can configure webhooks in Settings > Webhooks. Add your endpoint URL and select 'order.created' as the event type. We'll send a POST request with the order data whenever a new order is placed. Want me to show you the webhook payload format?
Core Features

AI chatbot & search features for documentation

AI-powered docs search with natural language search—reduce support tickets and help users find answers.

Semantic AI

AI-Powered Docs Search

Users describe what they want using natural language search. "How do I set up webhooks?" finds the right docs—even if you call them "event callbacks."

Always On

AI Chatbot for Documentation

An AI chatbot that understands your entire documentation. Answers customer support questions, explains concepts, and points users to the right articles.

Developer-Focused

API Reference Search

"Rate limits for the search endpoint"—finds specific API documentation by endpoint, parameter, or use case.

Fast

Instant Answers

Common questions get answered directly in the chat. Users don't have to click through to find simple information.

Use Cases

Works for every docs site

API references, product docs, knowledge bases, and help centers—AI adapts to your content.

API Documentation

Help developers find the right endpoint, parameter, or code example. Semantic search understands what they're trying to build.

Endpoint discoveryParameter lookupCode examples

Product Documentation

Guide users through features, configuration, and best practices. Answer "how do I...?" questions instantly.

Feature guidesConfiguration helpBest practices

Knowledge Bases

Make internal documentation searchable. Help team members find policies, procedures, and institutional knowledge.

Company policiesProceduresInstitutional knowledge

Help Centers

Power your help center with AI. Users get answers to common questions without waiting for support.

Self-service supportFAQ answersTroubleshooting guides

AI search & chatbot results for documentation

Developer documentation sites using AI chatbots see real improvements and fewer support tickets

80%
Questions answered without support
Reduce ticket volume
5x
Faster than browsing
Users find answers faster
24/7
Documentation help
No time zone limits
<100ms
Search response time
Lightning fast results
How It Works

AI chatbot setup in minutes

Connect your docs and deploy your AI chatbot to help users find answers with natural language search.

1
10-30 min

Connect Your Docs

Use our REST API to index your documentation. Or WordPress plugin for WordPress-based doc sites.

2
Automatic

Content Indexes

Your documentation is processed and indexed for semantic search. AI learns your terminology.

3
~10 min

Customize

Configure the search UI, chat widget, and which content to include.

4
Live!

Go Live

Add the search widget to your docs. Users start finding answers instantly.

"Our developers used to open support tickets for things that were clearly documented—they just couldn't find the right article. Now the AI points them exactly where they need to go."
Mike Chen
Head of Developer Experience, DataFlow API
FAQ

Frequently asked questions

Everything you need to know about AI search and chat for documentation.

How does Intufind make documentation searchable with AI?
Intufind indexes your entire docs and adds AI-powered search that understands developer intent. Users describe what they want to do, and the AI finds the right page—even when they use different terminology than your docs.
Can the AI chatbot answer questions about our API?
Yes. The AI chatbot understands your API reference, tutorials, and guides holistically. Developers ask natural questions like "How do I paginate results?" and get direct answers with code examples linked from your docs.
Does Intufind work with GitBook, Notion, or ReadMe?
Intufind connects via REST API and can index docs from any platform—GitBook, Notion, ReadMe, Docusaurus, MkDocs, or custom-built documentation sites. Sync your content and start serving AI-powered search in minutes.
How does it handle versioned documentation?
Intufind can be scoped to specific doc versions, ensuring users searching v2 docs don't see v3 results. Version context is maintained throughout AI responses.
Can Intufind help reduce developer support requests?
When developers find answers themselves, support ticket volume drops. Teams using Intufind for documentation typically see a 50–70% reduction in "how do I" support requests within the first month.
How is this different from Algolia DocSearch?
Algolia DocSearch provides keyword matching. Intufind provides AI-powered natural language search plus a conversational AI chatbot. Users can ask follow-up questions, get synthesized answers, and have a dialogue with your docs.
Join teams making documentation better with AI chatbot & search

Ready to add AI search & chat to your documentation?

Start your free trial today. Deploy an AI chatbot that understands natural language and helps users find answers—reducing support tickets.

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