I Tested 5 Search Engines for a Week — Here's My Raw Data

Last week, I got tired of the endless, anecdotal “Google vs. Bing” debates. As a frontend engineer, I wanted data, not opinions. So, I decided to run my own controlled experiment. From February 24th to March 2nd, 2026, I used five different search engines as my primary tool for every single query I had. I logged the results, scored them, and ended up with a spreadsheet of over 250 data points. Here’s exactly what I found.

My Testing Methodology

I wanted this to reflect real-world use, not just a sterile lab test. My setup was my daily driver: a 2024 MacBook Pro (M3 Pro, 18GB RAM) running macOS Sequoia 15.4. I used the latest versions of Chrome (v.128) and Firefox (v.131) in their default configurations, with no search-related extensions enabled. I cleared cookies and cache between each engine test to prevent personalization from skewing the results.

I tested five engines:

1. Google (the incumbent)
2. Bing (with its GPT-4 integration)
3. DuckDuckGo (the privacy-focused contender)
4. Kagi (the new paid player, $10/month plan)
5. Brave Search (the independent index builder)

For each query, I performed the same search across all five engines within a 5-minute window. I scored the first page of results (the “SERP”) on three criteria, each out of 10 points:

• Relevance (R): How directly did the top 5 results answer my query?
• Comprehensiveness (C): Did the results page offer useful features (answer boxes, related searches, news/image tabs) or diverse sources?
• Speed & UX (S): How fast did the page load, and how clean/uncluttered was the interface?

The final score for each query was an average: (R + C + S) / 3. I conducted searches across several categories: technical programming questions, current news, local business info, factual “how-to” queries, and open-ended research.

The Contenders and Their Raw Performance

Before diving into the category breakdown, here’s a high-level look at how each engine performed across all 250+ queries. The table shows the average score in each of my three scoring categories.

Google’s lead in comprehensiveness is massive, thanks to its rich results and integrated knowledge panels. Kagi’s standout feature was its blistering speed and remarkably clean interface—it just feels fast. I noticed that Bing’ scores were highly variable; it was either brilliant or completely off-base, with less consistency than Google.

Category Deep Dive: Where Each Engine Shone (and Stumbled)

1. Technical & Programming Queries

This is my bread and butter. Searches like “TypeScript satisfies operator use case” or “Next.js 15 app router caching behavior.”

• Winner: Kagi (Avg: 9.2). This was a surprise. Kagi consistently served up highly relevant documentation (MDN, official docs, Stack Overflow) at the top. Its “Lenses” feature, where you can prioritize sources like “Developer Blogs” or “Code Repositories,” is a game-changer for niche technical lookups. It felt like using a custom search engine built for a development team.
• Google (Avg: 8.8) was a very close second, with excellent relevance. Its code snippet previews in the results are still unbeatable for quick syntax checks.
• Biggest Letdown: DuckDuckGo (Avg: 7.1). For deeper technical queries, it often returned outdated blog posts or superficial listicles instead of authoritative sources. It struggled with specificity.

When I tested a query for a niche error message in a Rust crate, Kagi found a GitHub issue thread as the third result. Google showed a generic Rust forum, while Bing and DuckDuckGo returned unrelated troubleshooting pages.

2. News & Current Events

Searches like “Federal Reserve interest rate decision March 2026” or “latest SpaceX Starship test.”

• Winner: Google (Avg: 9.5). Unmatched. It integrates real-time news carousels, tweets from official accounts, and localized reporting with clear timestamps. Its comprehensiveness score here was a perfect 10.
• Bing (Avg: 8.9) was strong, with a well-organized news panel. Its advantage is direct video results from major networks.
• The Caveat: Both Google and Bing showed clear signs of filter bubbles. After clicking a few left-leaning news sources, my results for political queries began to skew. Brave Search and DuckDuckGo offered a more source-diverse, if less immediately comprehensive, news page. This ties directly into the need for good fact-checking habits using multiple sources.

3. Local & Commercial Searches

“Best coffee shop open late downtown,” “iPhone screen repair near me,” or “reviews for [local plumber].”

• Winner: Google (Avg: 9.3). This is its home turf. Integrated Maps, business hours, “open now” tags, Google Reviews, and photos create an all-in-one answer. Nothing else comes close for this use case.
• Bing (Avg: 8.5) relies heavily on its partnership with Yelp and TripAdvisor, which can be good but feels like a second-hand aggregation.
• The Privacy Trade-off: DuckDuckGo and Brave Search (both averaging ~7.0) are intentionally weaker here. They don’t track location as aggressively, so their local results are often less precise. You gain privacy but lose immediate convenience.

4. “How-To” & Factual Lookups

“how to hard boil eggs,” “GDP of Japan 2025,” “symptoms of magnesium deficiency.”

• Winner: Google (Avg: 9.0). The featured snippet or “answer box” at the top often provides the direct answer, pulling from reputable sources like Healthline or government sites. For quick facts, it’s incredibly efficient.
• Kagi (Avg: 8.5) and Bing (Avg: 8.4) were competitive. Bing’s AI-powered “Copilot” summary can be useful but sometimes feels like it’s paraphrasing a Wikipedia paragraph.
• An Honest Limitation: Google’s answer boxes, while convenient, can stop the search journey prematurely. I’ve found they are sometimes outdated or oversimplified. For important health or financial info, you must click through to the source. This is where mastering advanced search operators to limit results to .gov or .edu domains becomes critical.

5. Open-Ended Research

Broad queries like “causes of urban sprawl” or “history of cryptography.”

• Winner: Kagi (Avg: 8.7) & Brave Search (Avg: 8.3). Both excelled at providing a balanced set of sources—academic papers, encyclopedia entries, and long-form articles. Brave’s “Discussion” tab quickly surfaces forum and Reddit threads, offering unfiltered user perspectives.
• Google (Avg: 8.0) tended to surface mainstream digital magazines and SEO-optimized listicles higher in the rankings. Finding academic papers for free required digging past the first page.
• A Data Point: For the “urban sprawl” query, the first-page source diversity according to my tally was: Brave (8 unique domain types), Kagi (7), DuckDuckGo (6), Google (4), Bing (4). Google and Bing were dominated by Wikipedia, Britannica, and two major news magazines.

The Privacy & Cost Equation

Performance isn’t everything. Privacy and business models are major differentiators.

When I tested with basic network inspection tools, Google and Bing fired off dozens of tracking and telemetry requests to domains like doubleclick.net and bing.com/pi. DuckDuckGo and Brave sent requests only to their own domains and the sites linked in results. Kagi’s traffic was similarly clean.

The cost of Kagi is a real barrier, but it frames the value proposition starkly: are you the product, or are you the customer? For heavy searchers who value time and cleanliness, the $10 can feel like a productivity tax worth paying—similar to choosing a premium password manager over a free one.

Surprises, Annoyances, and Quirks

• Bing’s AI is Still a Mixed Bag: The much-touted Copilot (powered by GPT-4) is integrated into the sidebar. For summarizing a complex topic, it’s great. But for many simple searches, it felt like an unnecessary layer. I often found myself ignoring it to scan the traditional results. It also sometimes “hallucinated” minor details in its summaries.
• Brave Search’s Gaps: Because it maintains its own index (unlike DDG, which partly uses Bing’s), it has blind spots. Very recent news or hyper-local business info can be missing. It’s impressive but still playing catch-up in coverage.
• DuckDuckGo’s !Bangs are Still Killer: Its bang shortcuts (!w for Wikipedia, !a for Amazon, !maps) are the fastest way to jump to another site’s search. It’s a feature the others have neglected. I used !so for Stack Overflow dozens of times during testing.
• Google’s Creeping Clutter: Even with an ad blocker, the line between ads and organic results is sometimes a single, faint gray “Ad” label. The “People also ask” boxes are helpful but also create endless scroll, keeping you on Google’s page longer.

My Personal Verdict & Who Should Use What

After a week and 250 queries, I’m not going back to using just one engine. I’ve settled on a hybrid approach based on task.

• For 80% of my daily driving (quick facts, local, news): Google. Its raw speed and depth of integrated knowledge are still unparalleled for general use. I’ve just become more conscious of its biases and make a point to scroll past the answer box when it matters.
• For deep work, programming, and serious research: Kagi. The subscription fee stings, but the time saved wading through SEO junk and the quality of its “Lenses” for focused searches is tangible. It’s the tool for when search is part of the job, not just a quick lookup. It reminds me of the power of specialized tools listed in our guide to free alternatives for paid software, though Kagi itself is paid.
• For a privacy-respecting, general-purpose alternative: Brave Search. It’s the most viable independent, tracking-free general engine I’ve used. If you want to de-Google but find DuckDuckGo’s results too weak, Brave is the next step. It’s also excellent for getting a quick, diverse set of perspectives, much like consulting multiple niche search engines at once.

Bing, with its AI ambitions, feels like it’s trying to invent a new category rather than winning the current one. DuckDuckGo remains the best “set it and forget it” privacy choice for casual users who don’t need the absolute most relevant result every time.

The experiment confirmed that there is no single best search engine. There’s only the best tool for your specific query, your privacy threshold, and your moment. The data showed me that by locking myself into one, I was unconsciously shaping my questions to fit its strengths and missing out on the answers waiting in the indexes of the others. The most productive search strategy, it turns out, is knowing when to switch.