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Kagi
Kagi is a privacy-focused search engine and AI assistant that removes ads, blocks trackers, and lets users search and browse with minimal data collection.
Kagi
Private search and AI without ads or tracking
What is Kagi?
Kagi is a subscription-based private search engine with AI features, including an assistant grounded in search results, private browsing-related tools, and team plans for organizations. It emphasizes ad-free search, reduced tracking, and user control over data.
How to use Kagi?
- 1Visit Kagi and start searching without signing in.
- 2Try the free search allowance to evaluate result quality and privacy features.
- 3Use Kagi Assistant for AI answers grounded in search results.
- 4Explore related tools like Small Web, Translate, or Orion Browser.
- 5Upgrade to a paid plan if you want continued private search and advanced features.
Kagi Key Features
- Ad-free private search
- Tracker blocking and reduced data collection
- Kagi Assistant with multiple AI models
- Search results grounded by Kagi search
- Small Web curated discovery
- Team plans for workplace search and AI
- Privacy controls such as Privacy Pass support
Kagi Use Cases
- Private web search without ad tracking
- AI-assisted research with grounded search results
- Finding higher-quality results instead of sponsored content
- Curating human-made small web sites
- Private search and AI for teams and workplaces
Kagi Pricing & Free Credits
Kagi currently operates on a Free, Freemium, Paid model.
Kagi Pros & Cons
Pros
- Privacy-focused search with minimal tracking
- Ad-free results and cleaner browsing experience
- AI assistant grounded in search results
- Team options available
- Free access to some tools and limited searches
Cons
- Full use requires a paid subscription
- Free search volume is limited
- Best value depends on preference for privacy over free ad-supported search
What is Kagi best for?
- Privacy-conscious users
- People who want ad-free search
- Researchers who want cleaner results
- Teams needing private search and AI
- Users interested in human-curated web discovery