A comparison of search engines, indexes, privacy models, and AI search.
Web search engines are one of the main gateways to the Internet. We type a few words, wait a moment, and receive links, maps, videos, direct answers, or increasingly, AI-generated summaries. Behind that simple interface is enormous infrastructure: crawlers discovering pages, indexes storing billions of documents, ranking systems deciding what appears first, and now generative models synthesizing answers from multiple sources.
Search engines can look similar while being very different underneath. Some maintain their own web index. Others license results from Google or Bing. Some combine several sources. Some are funded by ads, others by subscriptions, and some link revenue to environmental projects.
So this comparison is not about naming one universal winner. The more useful question is: which search engine fits the kind of search you are doing?
A web browser is the application that opens websites: Firefox, Chrome, Edge, Brave, Safari, and others. A search engine is a service that helps locate information on the Web.
You can use Google in Firefox, DuckDuckGo in Edge, or Brave Search in Safari. The browser and search provider are separate layers.
For more background, see our guide to web browsers, their history, and their features.
A search engine with its own infrastructure generally performs three core jobs:
Modern engines add many more layers: image and video search, news, maps, products, instant answers, and in 2026, generative experiences that summarize information from multiple sources.
The key difference is that not every search product performs all three of those tasks at global scale. Some own the crawler and index. Some buy or license results from other companies. Others mix both approaches.
| Search engine | Main result source | Business / privacy model | AI / answers |
|---|---|---|---|
| Own index | Advertising and Google ecosystem | AI Overviews and AI Mode | |
| Bing | Own index | Microsoft / advertising | Copilot Search |
| DuckDuckGo | Bing + own crawlers/indexes + specialist sources | Privacy-focused, contextual ads | AI features vary by product |
| Brave Search | Independent index | Privacy and independence | AI Answers / Ask Brave |
| Kagi | Own indexes + multiple providers | Paid subscription, no ads | Quick Answer and Assistant |
| Startpage | Google and Bing | Privacy intermediary | Limited proprietary AI features |
| Mojeek | Independent index | No tracking | More traditional search focus |
| Ecosia | Bing, Google, or EUSP depending on market | Environmental model | Partly provider-dependent |
| Qwant | Own/EUSP indexing infrastructure | European privacy focus | Varies by market and product |
| Yandex | Own search technology and index | Regional ecosystem | AI services across Yandex |
| Baidu | Own search technology and index | Chinese market ecosystem | AI services across Baidu |
The table summarizes each service’s general architecture. Commercial partnerships and result providers can change, so for privacy-sensitive or enterprise decisions, always check the provider’s current documentation.
Google Search remains the dominant global search product and operates its own crawling, indexing, and ranking infrastructure.
In 2026 Google Search is no longer centered only on the classic list of blue links. AI Overviews summarize some queries directly in search results, while AI Mode supports longer questions, conversational follow-ups, and simultaneous exploration of subtopics.
Google explains crawling, indexing, and ranking in How Search Works, while its support documentation explains AI Mode.
Best fit: broad coverage, local information, maps, shopping, images, and deep integration with Google’s ecosystem.
What to consider: personalization, advertising, and account-linked data depend on your settings. If you prefer less history-based personalization, review those controls or compare another engine.
Bing operates its own web index and, together with Google, provides one of the major search infrastructures that many other products build on.
Microsoft has moved generative search into the core product with Copilot Search, which combines traditional web results with summarized answers and prominent source links.
Microsoft describes the experience in Introducing Copilot Search in Bing.
Best fit: general web search, visual search, Microsoft ecosystem integration, and comparing a large index that is different from Google’s.
DuckDuckGo is widely known for its privacy positioning. The important technical nuance is that it does not maintain a completely independent general-purpose web index.
DuckDuckGo uses many sources. It operates its own crawler, DuckDuckBot, and maintains indexes for particular features, but the company says that traditional web links and image results are sourced largely from Bing. Requests sent to partners are proxied through DuckDuckGo so those providers do not receive user identifiers that could be used to create personal search histories.
Its official explanation is available at Where do DuckDuckGo search results come from?.
Best fit: a simple privacy-focused search experience while still benefiting from much of Bing’s coverage.
Brave Search is especially notable because Brave maintains a large independent web index.
Its official API documentation describes an index containing tens of billions of pages with large-scale daily refreshes. In addition to conventional crawling, Brave runs the opt-in Web Discovery Project, which can contribute privacy-preserving signals from participating Brave Browser users.
Brave also provides generative results through AI Answers and Ask Brave, with source references shown alongside generated content.
See Brave Search and the Brave Search API.
Best fit: users who want an index independent of Google and Bing while retaining privacy-oriented design and modern AI search features.
Mojeek is a smaller British search engine, but technically it is important because it crawls the Web with MojeekBot, maintains its own index, and uses its own ranking algorithms.
The company explicitly states that its web results are independent and are not sourced from Google or Microsoft.
See Why Mojeek?.
Best fit: comparing genuinely different search results and using a traditional crawler-based engine without behavioral tracking.
Kagi uses an unusual business model: users primarily pay by subscription rather than financing the engine with advertising.
Kagi maintains proprietary indexes such as Teclis and TinyGem while also combining anonymized calls to major search providers, specialist engines, and vertical data sources. In practice, it is a sophisticated metasearch system enriched by its own indexing and ranking technology.
Features include promoting or blocking domains, Search Lenses, Quick Answers, and AI tools. Kagi documents the mixture transparently in Search Sources.
Best fit: professionals who search heavily, want no ads, and prefer paying directly for the product instead of funding it through advertising.
Startpage does not try to maintain a global web index of its own. Instead, it acts as a privacy intermediary between the user and result providers such as Google and Bing.
Startpage says it submits queries through its infrastructure and returns results without using a personal search history to customize them.
Its support documentation explicitly acknowledges that it depends on the result feeds provided by Google, Bing, and other partners: How to use Startpage more effectively.
Best fit: users who value the coverage of major indexes while wanting an intermediary between their query and the original provider.
Ecosia uses search revenue to support climate and environmental projects.
For years it depended mainly on Bing, but the architecture is more complex in 2026. Ecosia may deliver results from Bing, Google, or EUSP (European Search Perspective), depending on country, device, settings, permissions, and availability.
EUSP is a European index created jointly by Ecosia and Qwant. It began serving real search traffic in France in 2025 as part of an effort to reduce technological dependence on external providers.
Ecosia explains the current arrangement in Search Result Providers.
Best fit: users who value the environmental business model and are comfortable with the underlying provider varying by search and market.
Qwant is a French privacy-oriented search engine. Its 2026 infrastructure is particularly interesting because it operates QwantBot, maintains a continuously refreshed web index, and participates with Ecosia in EUSP.
Qwant says it does not build advertising profiles from search history and uses contextual advertising. Its current documentation covers both how Qwant indexes the Web and its privacy model.
Best fit: users looking for a European alternative and anyone interested in the growth of an increasingly independent European search stack.
Yandex Search operates its own search technology and is especially relevant for Russian-language queries and markets where the Yandex ecosystem has strong local coverage.
Yandex Search and Yandex Browser are different products: one is the search engine, while the other is a browser.
Best fit: regional and language-specific searches where its local index and services may surface information differently from Western search engines.
Baidu is one of the most important search infrastructures in China’s Internet ecosystem and operates its own crawling, ranking, and related search technologies.
For mainland China, Chinese-language content, and local services, it can provide coverage and ranking that differ substantially from Google or Bing.
Content rules, availability, and applicable law vary considerably by country, which is important context when comparing regional search engines.
Yahoo Search still exists, although its role today is very different from its position during the early Web.
Yahoo has used different syndication and technology partnerships over time. It is therefore safer to think of it as a search product and portal rather than assume that every result always comes from one permanent underlying index.
When a search engine calls itself “private,” ask what that actually means.
It may mean not associating searches with an identity, not building advertising profiles, not exposing your IP address to result providers, avoiding persistent cookies, or not personalizing ranking from past searches. Different engines make different promises.
Changing search engines also does not automatically hide all Internet activity. Your browser, ISP, DNS provider, extensions, destination websites, and logged-in accounts can all generate data independently of the search engine.
Personalization can be convenient: stronger local results, recoverable history, recommendations, and integrated services. But it also means two people can receive different results for similar queries.
Google can integrate heavily with a signed-in user’s ecosystem. DuckDuckGo, Startpage, Mojeek, Brave, and Qwant each try to reduce or avoid different forms of personal profiling.
There is no single correct choice. The important thing is understanding the tradeoff.
Google AI Mode, Bing Copilot Search, and Ask Brave show how the boundary between a search engine and an answer engine is becoming increasingly blurred.
Generative answers can save time when several pages need to be summarized, but synthesis is not the same as verification. A model can misunderstand a source, merge dates, omit qualifications, or generate a confident but incorrect answer.
For medical, legal, financial, scientific, technical, or security-sensitive information, open the original references, check publication dates, and compare more than one source.
If several search engines depend on the same underlying index, switching the front-end may improve privacy or interface design without producing a truly different view of the Web.
That is why Brave, Mojeek, Qwant/EUSP, Yandex, and Baidu are interesting from a technological-diversity perspective: they operate meaningful crawling or indexing infrastructure of their own.
DuckDuckGo and Startpage represent a different, equally valid strategy: use major indexes while adding privacy protections and a different user experience.
Kagi combines both worlds: proprietary indexes plus aggregation from multiple sources.
For technical, academic, or historical research, try the same query on two genuinely different indexes. Brave or Mojeek may surface pages that Google ranks very low, while Google or Bing may discover documentation that a smaller crawler has not indexed yet.
We often treat one search engine as though it were the Internet itself. There is no need to.
You can keep one provider as your browser default and use others for specific searches. Comparing indexes is useful for obscure technical documentation, regional information, smaller websites, and results your usual ranking algorithm does not prioritize.
Search diversity is also healthy for the Web. An ecosystem where several independent indexes crawl and rank information reduces dependence on one infrastructure and gives publishers and users more paths to find each other.
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