In June 2025, an SEO manager at a midsize American media company stopped cold while writing the quarterly report. The company's primary keyword still ranked No. 1 on Google, exactly where it had been the quarter before. But organic click-through was down 38%. The ranking hadn't moved; the visitors had vanished. The reason: Google had summarized the page's key content itself and pinned that summary at the top of the search results. Users got what they needed without ever clicking the link. And this wasn't one company's problem. In a survey released in the second half of 2025 by the News/Media Alliance​, the U.S. trade association for news and magazine publishers, organic clicks on informational content fell by an average of 24% — and by as much as 64% — after the full rollout of AI Overviews.

This is how AI Overviews​ work. Type in a query and, instead of a list of blue links, the top of the screen fills with an answer that Google's Gemini model has synthesized from multiple web pages. The source links sit below it, in small type. Google's stated goal is plain: faster, more accurate answers. By that measure, Google is succeeding. At the same time, the people who created the raw material for those answers are watching their clicks decline.

In May 2026, TechCrunch published a roundup of six alternative search engines worth watching, alongside the diagnosis that "Google isn't really Google anymore​." The piece spread quickly through the industry — not out of simple curiosity about new tools, but because it revived an old question in a new context: how should we think about Google, and where and how should we look for information?

How Google Changed

Google's transformation began in earnest in 2023, once OpenAI's ChatGPT had established itself as a mainstream service. Google accelerated the integration of its own Gemini model into search, and AI Overviews — introduced experimentally in 2024 — rolled out across the entire United States in 2025. As of 2026, the expansion is underway in markets beyond the English-speaking world, including Korea.

The shift was bigger than expected. Semrush, the traffic-analytics company, released data over the same period showing markedly lower click-through rates for news and guide-style content. Content operators across industries kept seeing the same pattern: rankings held steady while visitors fell away. The established search-optimization playbook no longer guaranteed traffic.

The six alternative engines TechCrunch profiled are each attacking this gap from a different angle. Kagi charges a subscription and eliminates ads entirely. Perplexity attaches source URLs to every AI answer to build trust. DuckDuckGo collects no user search data. You.com lets users combine AI and traditional search on their own terms. Brave Search runs its own independent crawler instead of relying on Google's index. Ecosia directs a share of its ad revenue to planting trees. What the six share is a single position: a deliberate departure from Google's ad-driven, AI-monopolized approach.

But Are the Alternatives Real Alternatives?

First, though, one fact worth stating plainly. The mere existence of alternative search engines does not shake Google's dominance. As of 2026, Google holds roughly 89% of the global search market, per StatCounter. Kagi's paying users number in the hundreds of thousands, and DuckDuckGo's daily search volume is less than 0.7% of Google's. Add all six alternatives together and the overwhelming majority of search users are still on Google. Switching platforms, by itself, doesn't solve the problem of finding information.

Nor do AI Overviews hurt all content equally. Content that's hard for AI to reconstruct by stitching together outside sources — concrete first-person experience, on-the-ground accounts from a specific moment, reviews written after actually using a product — still draws clicks. Some analyses found that community-driven sites and niche specialist newsletters lost less traffic than large media outlets. Content that AI can easily summarize gets absorbed into AI; content that resists summarization is what survives in the search ecosystem.

Seen this way, the argument that "Google has changed, so switch engines now" oversimplifies the situation. Some SEO specialists see optimizing for alternative engines as a new opportunity, but given the actual traffic at stake, it's hard to call that a short-term answer. For a solo entrepreneur producing Korean-language content, optimizing for Kagi or Brave Search is even less realistic. What deserves scrutiny instead is an information-gathering routine and a content-distribution strategy sturdy enough to survive any platform's changes.

What to Check Now

As Google's AI transition spreads to Korea, two items carry practical weight for solo entrepreneurs and content directors.

The first is your research routine. Google Search may already be the wrong tool for certain research tasks. AI answers synthesized from multiple pages can have murky sourcing or stale information. Perplexity addresses exactly this weakness by attaching explicit source URLs to its answers — worth trying as a supplementary research tool. Kagi, at $10 a month, offers a personalization feature that lets you manually adjust how heavily specific sites are weighted in your results; its still-limited coverage of Korean-language content is a genuine constraint.

Even without switching tools, there is something you can do now: maintain your own list of the primary sources you read regularly. Official industry reports, newsletters run by practitioners, the writing of independent researchers — these are more reliably reached through direct subscriptions and bookmarks than through a search engine. If search is a path for discovering information, this list is a channel for receiving it continuously. The two play different roles. The more you depend on search, the more exposed you are to the risk of a search engine's algorithm changing under you.

The second is content strategy. The priority is checking directly how your existing content responds to AI Overviews. The method is simple: search Google for your main keywords and see whether an AI summary appears at the top — and whether that summary cites your content as a source. If your site is included, you'll need to reframe the value in terms of brand exposure rather than clicks. If your content is missing entirely, that's a signal that pieces built around those keywords aren't a fit for AI-summary-style queries.

In the Korean content landscape, there's one more thing to examine. YouTube, Naver blogs (Naver is Korea's dominant web portal), and Instagram each run search algorithms of their own. YouTube in particular — though Google owns it — is a separate platform that AI Overviews don't directly touch. Podcast transcripts, community comments, and social posts are all paths by which readers and customers can find you outside Google Search. Keeping multiple discovery paths open is a more realistic option than migrating to alternative search engines that still lack Korean coverage.

To Korea's solo entrepreneurs and content directors, here is what I would say: set aside, for a moment, the view of SEO as nothing more than a short-term traffic channel, and the current shift starts to look different. Even if your Google organic clicks fall, your newsletter subscribers and community regulars are untouched. The thing to audit now is whether your content depends on Google's algorithm alone.

The people who scrambled to overhaul their strategy every time the search algorithm changed have always been the first to wobble. Those who had built readers and customers who come to them directly — long before Google declared its full AI pivot — barely flinched this time. The work of reducing your dependence on Google — growing newsletter subscriptions, creating content a community returns to again and again, running a YouTube channel in parallel — is quieter than scouting new search engines, and it lasts far longer.