Six search engines worth trying now that Google isn’t really Google anymore

Google’s I/O 2026 keynote introduced a conversational search mode that places a chat box front‑and‑center on every results page. Even when you turn the feature off, the engine can still surface an “AI Overview” that summarises the top hits and invites follow‑up questions. The rollout has been met with a mixture of curiosity and backlash; many users feel the experience is drifting toward a ChatGPT‑style interface rather than the quick, list‑based results they have relied on for decades.

The shift raises a familiar question: What if I don’t want my search results wrapped in a chatbot? Below we look at six alternatives that have been highlighted in the tech press, unpacking their advertised benefits, the concrete changes they bring, and the practical limitations you’ll hit if you switch.

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1. Kagi – Ad‑free, lens‑driven search for a fee

What’s claimed

• An ad‑free experience for $5 / month (or $10 for unlimited queries).
• Customisable “lenses” that filter results by source type, e.g., an Academic lens that favours peer‑reviewed papers.
• Optional AI‑powered “Quick Answer” that summarises a result and cites sources.

What’s actually new Kagi runs its own index, built on a combination of open‑source crawlers and licensed datasets. The lenses are essentially pre‑defined boost rules applied at query time; they do not rewrite the underlying ranking algorithm. The Quick Answer feature is a thin wrapper around a hosted Llama‑2‑Chat model that runs on Kagi’s own GPU fleet, so the latency is comparable to a typical search request.

Limitations

• The subscription model may deter casual users; there is no free tier beyond a limited trial.
• Because the index is smaller than Google’s, niche queries (especially for very recent news) can return fewer results.
• The AI summariser is optional, but it still sends the query to Kagi’s servers, meaning you trade ad‑free browsing for a modest amount of telemetry.

Official site • Pricing details

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2. DuckDuckGo – Free, privacy‑first search with optional AI

What’s claimed

• No tracking of search history, IP, or personal identifiers.
• Ads are context‑based rather than profile‑based.
• An AI answer box that can be disabled in settings.

What’s actually new DuckDuckGo still relies on a hybrid of its own crawler and third‑party indexes (Bing, Yandex, and others). The privacy claim holds because the company never stores query logs tied to a user ID; however, the IP address is still logged for abuse prevention and short‑term rate limiting. The AI answer box is powered by an OpenAI‑hosted model that runs on the request path; disabling it simply prevents the extra API call.

Limitations

• Because the index is assembled from multiple sources, relevance can be uneven, especially for technical queries that benefit from deep citation data.
• The contextual ad model can still surface sponsored results that look similar to organic listings, which may be confusing for newcomers.
• No built‑in lens system; you must rely on manual query operators (e.g., site:edu).

DuckDuckGo homepage • Privacy policy

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3. Startpage – Google results through a privacy proxy

What’s claimed

• “Google without Google knowing who you are.”
• No personal data stored; queries are stripped of IP and cookies before hitting Google’s index.
• Ability to turn off AI features.

What’s actually new Startpage forwards the sanitized query to Google’s public search endpoint and returns the HTML unchanged, except for the removal of tracking parameters. This means you get the same ranking signals Google applies, but without the persistent user profile.

Limitations

• You are still dependent on Google’s index, so any bias or coverage gaps inherent to Google remain.
• The proxy adds a small latency penalty (typically 200‑400 ms) due to the extra hop.
• Turning off AI features only removes the optional “Answer Box” that Startpage injects; the underlying search results are unchanged.

Startpage official site

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4. &udm=14 – A tiny URL tweak that strips AI overviews

What’s claimed

• Append &udm=14 to any Google URL and you’ll receive the classic results page without the AI Overview.
• Open‑source implementation available on GitHub for self‑hosting.

What’s actually new The udm parameter is an undocumented flag that tells Google’s front‑end to hide the “Unified Data Model” overlay, which includes the AI Overview widget. It does not affect the underlying ranking or the presence of ads.

Limitations

• You still see Google’s ads and personalized results if you are logged in; the flag only suppresses the UI component.
• Because the parameter is unofficial, Google could remove it in a future update, breaking the workaround.
• Running your own proxy (the GitHub project) requires a server that can rewrite outgoing URLs, which adds complexity for non‑technical users.

GitHub repo for &udm=14

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5. Brave Search – Community‑curated index with “Goggles”

What’s claimed

• Independent index built from the open‑source Brave‑Search crawler.
• “Goggles” let users apply custom ranking filters (e.g., News from the Right, No Pinterest).
• Built‑in toggle for AI answers.

What’s actually new Brave’s index is still in its early growth phase; it covers roughly 70 % of the web compared to Google’s near‑complete crawl. The Goggles system works by applying post‑retrieval re‑ranking based on domain whitelists/blacklists and simple heuristics. The AI answer feature is powered by a locally hosted Claude‑like model that runs on Brave’s edge servers.

Limitations

• Coverage gaps are noticeable for niche topics, especially recent scientific papers or obscure forums.
• The Goggles UI is a bit clunky; creating a custom Goggles requires a JSON configuration that many users find intimidating.
• While Brave blocks third‑party trackers by default, the search component still sends a minimal identifier to the Brave server for rate limiting.

Brave Search • Goggles documentation

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6. Ecosia – Search that funds tree planting

What’s claimed

• Uses Bing’s index but donates ~80 % of ad revenue to reforestation projects.
• Transparent financial reports and community‑verified planting metrics.
• Chrome‑compatible extensions and a Chromium‑based browser.

What’s actually new Ecosia’s search results are a thin layer over Microsoft’s Bing API, with a small amount of result re‑ranking to promote environmentally‑focused sites. The donation model is straightforward: every ad click generates revenue that is pooled and periodically transferred to vetted NGOs.

Limitations

• Because the underlying index is Bing’s, relevance is comparable to DuckDuckGo’s hybrid approach and can lag behind Google for certain queries.
• The “green” narrative does not affect the core ranking algorithm; you still see the same sponsored results as on Bing.
• No native AI answer box, so users looking for quick summaries must rely on third‑party extensions.

Ecosia homepage • Financial transparency page

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Bottom line

Google’s AI‑first overhaul is a genuine product shift: the default UI now assumes you want a conversational assistant, and the underlying ranking model is being nudged toward generative answer generation. For users who prefer a lean, list‑oriented experience, the alternatives above each solve a different slice of the problem—whether it’s ad‑free browsing (Kagi), strong privacy guarantees (DuckDuckGo, Startpage), a simple URL hack (&udm=14), community‑curated ranking (Brave), or a socially‑motivated revenue model (Ecosia).

None of these services is a perfect drop‑in replacement for Google’s breadth of coverage, but they do illustrate that the search market still contains viable niches for users who value control over AI features, privacy, or the source of their ad revenue. As the AI overlay becomes more entrenched in mainstream search, the demand for these niche engines is likely to grow, and the ecosystem will evolve accordingly.