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Kagi

Kagi is a subscription search engine with no ads and no click tracking, letting you raise or block individual domains, priced from $5 a month for 300 searches up to unlimited plans with an AI assistant built on multiple frontier models.

ResearchProductivityAI Assistant#Search#AI Chat#Deep Research
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Aug 25, 2026
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Kagi Product Information

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What is Kagi?

Kagi is a search engine you pay for. That single fact explains almost everything else about it, because the decision to charge a subscription is not a pricing detail — it is the product's entire argument. The company states the case directly: free services make money by selling your attention, and Because Kagi is funded by user subscriptions, we answer to you, with the incentive to prioritise what users need rather than to engineer clicks on ads.

The positioning that follows from that is summed up on the homepage as reclaiming the web and restoring your privacy: Search without ads, block invasive trackers, and enjoy a noise-free internet on your own terms. In practice this means results with no advertising, no tracking of which link you click, and a set of controls that let you shape your own results rather than accept whatever an algorithm optimised for engagement decides to show you.

An independent test by a Nieman Journalism Lab reporter in April 2025 described the engine as reliable and unobtrusive, and noted that it draws results from a combination of trusted sources and its own index — an outside observation that matches what the company itself discloses about sourcing.

It is a real business with real, publicly visible scale — and the numbers are worth stating precisely, because they are smaller than the marketing language might suggest. The company publishes a live statistics page showing 74,553 members, 9,775 families and 396 teams, along with roughly 1,036,000 queries in the past day and 20,997 Assistant threads. Those are the actual figures at the time of writing, published by the company itself. For comparison, the site's own framing notes that its membership exceeds the population of 32 countries and territories. This is a substantial niche product, not a mass-market search engine.

One thing to get straight immediately, because the official website invites the confusion: Kagi Inc. runs several products side by side, and this page is about the search engine. The company also operates Orion Browser, Kagi Translate, Kagi News, Kagi Summarize and Small Web. These are separate products with separate audiences and, in the case of Orion, a separate app with its own — noticeably different — user ratings. Claims you may see attributed to "Kagi" about built-in ad-blocking or support for 240+ languages belong to the browser and the translation product respectively, not to the search engine. This page keeps them apart.

The other thing worth establishing early is how seriously this product is taken by the people most likely to evaluate it critically. Unlike most tools in this category, Kagi generates sustained, high-volume discussion on Hacker News — its pricing changes, its product decisions and its critics have all drawn threads running to hundreds of comments, with the largest exceeding 1,700 points and 900 comments. That is unusual, and it means the evidence base for judging this product is unusually good. It also means the criticism is unusually well documented, which the limitations section below draws on directly.

Core Features

Ad-free results with no click tracking. The foundation. There is no advertising in results, and the privacy policy states plainly that unlike most search engines, we do not track which search result you choose to click. The absence of both is what the subscription buys.

Personal ranking controls. You can raise or block individual domains in your own results, permanently. If a content farm keeps appearing in your searches, you can remove it from your own web for good; if you trust a particular source, you can push it up. The company publishes an aggregated leaderboard of which domains its users promote and block most — itself a piece of transparency rare in this category, and a page that has drawn hundreds of comments on Hacker News in its own right.

Kagi Assistant. An AI assistant tied to the subscription tiers rather than sold separately. The top tier provides Research mode and flagship models including Claude, GPT, Gemini and other providers, while lower tiers get a faster, more limited mode. Usage is meaningful rather than decorative: the company's own statistics page records around 21,000 Assistant threads in a single day.

Result quality controls that keep evolving. The product ships changes at a steady clip. As recently as August 2026 it added a setting for removing paywalled links from search results — a small feature, but one that directly addresses a common frustration and illustrates how the paid model lets user requests drive the roadmap rather than advertiser interests.

A deliberately finite result set. Kagi does not do infinite scroll. This is a design position rather than a limitation of the index, and it is discussed in more detail below.

Anonymity options that go beyond the usual. Beyond the standard privacy claims, the service supports pseudonymous accounts, cryptocurrency payment, Tor access, and Privacy Pass authentication, the last of which the company says provides provable anonymity guarantees by decoupling authentication from identity.

Use Cases

Replacing Google as a daily default. The primary use, and the one the product is designed around. The realistic question is not whether it works but whether the results justify a recurring cost.

Research where source quality matters. If you repeatedly need to filter out SEO-optimised content farms, the ability to permanently downrank specific domains compounds in value over time in a way that no one-off search trick does.

Escaping AI-generated filler. For users specifically frustrated by low-quality generated content dominating results, the domain controls and the company's ongoing work in this area are the core draw.

Privacy-conscious searching without giving up quality. For people who found privacy-focused alternatives adequate on privacy but weaker on results, this occupies a different point on that trade-off — paying for it is what makes the difference possible.

Teams and households wanting consistent search. Family and Team plans exist and are actively used, with nearly ten thousand families and several hundred teams on the books.

AI-assisted research alongside search. For users who want an assistant grounded in search results rather than a standalone chatbot, the Assistant tiers bundle both into one subscription.

How to use Kagi

  1. Start with the free trial and use it properly. You get 100 searches. Do not spend them on test queries — use them on the searches you actually make in a normal day, because the only useful question is whether Kagi handles your work better than what you use now.
  2. Set it as your default search engine. This is the step people underestimate. As one reviewer documented, it involves installing extensions on my phone and laptop — on iOS the search function arrives as a Safari extension rather than a standalone app. Until you do this, you will keep falling back to your old engine out of habit and never fairly evaluate it.
  3. Start blocking domains from day one. The ranking controls are the feature that compounds. Every time a result annoys you, block that domain rather than scrolling past it. After a few weeks your results are meaningfully different from anyone else's.
  4. Raise the sources you actually trust. The inverse is equally useful and less often done — promoting a handful of reliable sites in your field improves results faster than blocking dozens of bad ones.
  5. Adjust to a finite result list. Most searches return roughly 30 to 50 results and one additional page. If you are used to grinding through pages of results, this feels abrupt at first; the intended workflow is to refine the query instead.
  6. Try the Assistant before paying for the top tier. The lower tiers include a limited Assistant mode. Establish whether you use it at all before paying more than double for frontier-model access.
  7. Track your actual search volume before choosing a tier. The $5 tier's 300 searches sounds generous until you measure a real week. The statistics page and your own usage data will tell you whether the unlimited tier is necessary.
  8. Take advantage of the unused-month credit. If you go a month without using it, the company applies a credit automatically — so a quiet month does not need to trigger a cancellation.

Tips & Best Practices

  • Judge it on your own queries, not on demonstrations. Search quality is intensely personal — it depends on your field, your language and the kinds of questions you ask. Reviews are directional at best; your 100 trial searches are the real evidence.
  • Commit to a full switch for the trial period. Half-using a search engine gives you a false reading. Set it as default everywhere and live with it, or you are evaluating a version of the product nobody actually uses.
  • Build your block list deliberately rather than reactively. A focused list of the twenty domains that most pollute your particular field will do more than a hundred impulsive blocks.
  • Do not assume the AI answers are correct. This applies to every product in this category, and Kagi is no exception — its AI features have drawn specific criticism for confident errors. Treat generated summaries as pointers to sources, not as the answer.
  • Understand where results come from before relying on it for sensitive work. The result set draws on several third-party providers, detailed below. If the provenance of your search results matters professionally or politically, read that section before subscribing.
  • Compare the $5 and $10 tiers honestly. The cheaper tier is a real constraint rather than a nudge; 300 searches per month is about ten a day. Heavy users will hit it.
  • Use the Family plan if more than one person is switching. Per-person cost is the main objection to paid search, and household plans change that arithmetic.
  • Keep an alternative available for edge cases. Local queries, shopping and some region-specific searches remain areas where large incumbents have structural advantages. Knowing when to fall back costs nothing.

Who is Kagi for?

It suits heavy searchers whose work depends on result quality — researchers, developers, journalists, analysts — where the time saved on a single bad search session can justify a month's subscription.

It suits people actively frustrated by ads and SEO spam, who have reached the point of being willing to pay to make the problem stop rather than continuing to complain about it.

It suits the privacy-conscious who also want good results, and who are willing to accept that paying with money instead of attention is the mechanism that makes this possible.

It suits households and teams who can spread the cost across several people.

It is a poor fit for casual searchers — if you search a handful of times a day for straightforward things, free engines will serve you adequately and the subscription will feel like a solution to a problem you do not have.

It is a poor fit for anyone unwilling to change defaults, since the value only materialises when it becomes your everyday engine.

It is a poor fit for users who need absolute certainty about result provenance, given the third-party sourcing described below.

Platforms

Kagi is primarily a web service, usable in any browser by visiting the site or by setting it as your default search engine.

On mobile and in Safari specifically, the search functionality is delivered as a browser extension rather than a conventional app. The App Store listing for the search product is Kagi for Safari, which holds 3.70 across 182 ratings. Setup involves installing extensions on my phone and laptop, in the words of one reviewer who documented the process.

It is important to keep the sibling products distinct here, because their store presence differs sharply: Orion is a separate product from the search engine, listed independently with a 4.04 rating across 1,175 ratings, and Kagi Assistant and Small Web are separate listings again with far smaller samples. When someone cites a Kagi app rating, it matters a great deal which app they mean.

For anonymity, the service supports pseudonymous accounts, cryptocurrency payment, Tor access, and Privacy Pass authentication, which is a broader set of options than most commercial services offer. On the retention side the policy is specific rather than vague: Load balancer and virtual machine logs for 7 days, error traces for 90.

Pricing & Plans

Pricing is fully public and specific, which is worth noting because many tools in this category hide it behind a signup.

Trial is free and includes 100 searches. Starter is $5 a month for 300 searches, with the Assistant in its quick mode. Professional is $10 a month for unlimited searches with a larger Assistant allowance. Ultimate is $25 a month, adding Research mode and frontier models from multiple providers.

Family and Team plans are also offered, and the usage statistics confirm they are genuinely adopted rather than nominal, with 9,775 families and 396 teams active.

The billing detail most worth knowing is unusually generous: in months where you do not use your plan, we will automatically apply a full credit to your account for that month. Subscription products rarely refund inactivity voluntarily, and it is consistent with the company's stated argument that its incentives point at users rather than at extraction.

For context on why search costs money at all, the company has disclosed that Google's grounding service runs at $35 per 1,000 requests, which it describes as economically unviable for search at scale. Whatever else one concludes, the underlying data costs are real.

Alternatives

  • Google and Bing remain free, more comprehensive on local and shopping queries, and supported by the advertising model Kagi exists to reject.
  • DuckDuckGo and similar privacy-focused engines deliver much of the privacy benefit at no cost, though largely without ranking customisation and drawing heavily on Bing's index.
  • Brave Search operates its own independent index and offers a free tier, making it the closest comparison on index independence specifically.
  • Marginalia and other small-web indexes serve the non-commercial discovery use case with a genuinely different index, free but far narrower.
  • Perplexity and AI answer engines solve a related but distinct problem — synthesising an answer rather than returning sources for you to judge.
  • Self-hosted metasearch such as SearXNG gives complete control and costs nothing but your own hosting effort, aggregating other engines rather than maintaining an index.

Limitations & Considerations

  • It is not a fully independent search index, and this is the most important thing most reviews omit. The company's own disclosure lists its directly-licensed sources as Mojeek, Brave, Yandex, Wikipedia, TripAdvisor, Yelp, Apple and Wolfram Alpha. The inclusion of Yandex in particular is something some users will want to know about, and it appears nowhere in the marketing.
  • Beyond those licences, it relies on third-party SERP providers. The company states directly that it and others use third-party API providers for SERP-style results, adding that this is not its preferred solution and that it plans to exit as soon as direct contractual access is available. That candour is creditable; the dependency is still real.
  • The proportion of results from its own index is undisclosed. The company details which sources it licenses but never states what proportion of results come from its own index. A reader cannot therefore judge how much of what they see is genuinely Kagi's own work.
  • The structural situation is getting harder, not easier. Google offers no public search API and Microsoft retired the Bing Search APIs entirely, effective August 2025, narrowing the options for every independent search product. This is an industry condition rather than a company failing, but it bears directly on the long-term viability of what you are subscribing to. The company has publicly backed the antitrust remedies proposed against Google, saying the mandatory syndication requirements are exactly what it has been asking for — a reminder that its independence depends partly on regulatory outcomes it does not control.
  • Result sets are deliberately finite. As one reviewer measured, most searches bring 30 to 50 results by default, with one additional page and then nothing. The company's stated philosophy is that needing to reach page 17 represents a failure on their part. For most users this is fine or better; for exhaustive research it is a genuine constraint.
  • The search app's own rating is middling. Kagi for Safari sits at 3.70 across 182 ratings — respectable but lower than the 4.04 that the Orion browser holds from a much larger sample. When evaluating the search product specifically, that lower number is the relevant one.
  • A widely-discussed critique has raised financial governance concerns. A 2024 article that drew 695 points and 607 comments on Hacker News alleged the company spent roughly a third of a $670k funding round on printing free t-shirts for users, and that it failed to collect sales tax for close to two years. These are the author's assertions rather than independently confirmed facts, and this page could not verify them against company filings — but the volume of discussion they generated makes them part of the public record on this product.
  • The same critique questioned the accuracy of the AI features, describing them as confidently returning false information in tested cases. AI summarisation errors are endemic across the industry, but they sit awkwardly against a product whose selling point is result quality.
  • Resource concentration is a fair question. The same article noted the company runs search, several AI tools, a browser and further services with roughly eight full-time developers. The breadth of the product line is visible on the homepage; whether that breadth strengthens or dilutes the core search product is a judgement each user makes.
  • The AI-training claim is stated more absolutely in marketing than in the policy. The homepage answers whether Kagi uses your data to train AI models with a flat "No." The privacy policy's actual wording, applying to third-party model providers, ends with whenever possible. The conditional matters, and the policy is the document that binds.
  • The cheapest paid tier is genuinely limited. The free trial gives you 100 searches and the $5 tier gives 300 a month — around ten a day. Unlimited searching starts at $10.
  • Independent structured review data is thin. There are only 17 reviews on Trustpilot, well below the threshold where a score means anything, and the G2 profile could not be retrieved through either fetch channel. The compensating factor is that Hacker News provides far richer first-hand discussion than either platform would.
  • Founder statements on privacy have drawn criticism. The same critical article quoted the founder saying that people who genuinely need anonymity are rare — Probably less than a 100 in the entire world — and argued that email addresses do not constitute personally identifiable information. These are quoted remarks from community channels rather than company policy, but for a product sold on privacy they are the kind of thing prospective subscribers weigh.

FAQ

Q1. How much does Kagi cost?

Four tiers: a free trial with 100 searches, Starter at $5 a month for 300 searches, Professional at $10 a month for unlimited searches, and Ultimate at $25 a month adding Research mode and frontier AI models. Family and Team plans are also available.

Q2. Is there a free version?

There is a free trial of 100 searches, but no permanently free tier. This is deliberate — the subscription is the mechanism that removes advertising, so a free tier would undermine the model.

Q3. Does Kagi have its own search index?

Partly. It maintains its own index but also licenses results from Mojeek, Brave, Yandex, Wikipedia, TripAdvisor, Yelp, Apple and Wolfram Alpha, and uses third-party SERP API providers where direct licensing is unavailable. The company has not disclosed what share of results comes from its own index.

Q4. Does Kagi track my searches?

The privacy policy states it does not track which result you click, keeps request logs only temporarily and in a manner that they are not linked to an account, and retains load balancer and virtual machine logs for 7 days and error traces for 90. Payment information is not used to link users to their Kagi activities.

Q5. Can I use it anonymously?

To an unusual degree, yes. The service supports pseudonymous accounts, cryptocurrency payment, Tor access and Privacy Pass authentication, which the company says provides provable anonymity guarantees.

Q6. Is it worth paying for search?

That depends entirely on your search volume and how much bad results cost you. Heavy searchers in research-driven work tend to find the arithmetic easy; casual searchers generally do not. Use the 100 trial searches on real work rather than tests before deciding.

Q7. What happens if I do not use it for a month?

The company applies a credit automatically: in months where you do not use your plan, we will automatically apply a full credit to your account for that month.

Q8. How is Kagi different from Orion?

They are different products from the same company. Orion is a web browser; Kagi is a search engine. Orion's ad-blocking and anti-tracking are browser features and should not be attributed to the search product, and their app ratings differ substantially.

Q9. Does it work on mobile?

Yes, though setup is more involved than with a free engine. On iOS the search function is delivered as a Safari extension, and making Kagi your default requires installing extensions on each device you use.

Q10. Are the AI answers reliable?

Treat them as starting points. A widely-discussed critique documented cases of the AI features returning confidently incorrect information, and the homepage's absolute claim about not training on user data is softened in the privacy policy to a conditional. Verify anything that matters against the underlying sources.

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