Key Takeaways
- By any conventional measure, Google remains the world's most-used search engine , holding a global desktop and mobile search market share consistently above 90%.
- Here is where the standard answer gets complicated — and where most competitor articles stop asking the hard question.
- Standard market share reports measure the share of explicit search queries processed by each engine.
- Most SEO commentary frames the search engine question as a horse race: will Google stay #1, or will AI dethrone it?
- Understanding the shifting search landscape is only useful if it changes what you actually do.
- Yes, by conventional market share measurements, Google processes the large majority of the world's search queries and has done so for more than two decades.
- Are AI Overviews Killing Organic Clicks? How AI Search Is Reshaping Brand Visibility How to Optimise for Perplexity, Cha
Most people answer this question without thinking twice: Google. And for the past two decades, they would have been right. But the assumptions baked into that answer are starting to crack. A growing share of search behaviour now happens outside Google entirely — on AI assistants, video platforms, and chat interfaces that did not exist in their current form five years ago. Ask yourself honestly: when did you last search for something by typing a query into Google versus asking an AI tool directly?
So what is the #1 search engine in the world right now — and more importantly, what will that title mean twelve months from now? The answer matters enormously for any business that depends on organic discovery.
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Google's Dominance — The Numbers Behind the Crown
By any conventional measure, Google remains the world's most-used search engine, holding a global desktop and mobile search market share consistently above 90%. Bing, Yahoo, Baidu, and Yandex occupy the remainder, with Bing the closest rival in English-language markets — still a distant second.
That dominance did not emerge from luck. Google's infrastructure, its PageRank-descended ranking systems, its integration across Android and Chrome, and its advertiser ecosystem form a moat that took decades to build. For the overwhelming majority of businesses in the Middle East, Europe, and North America, Google is still the primary source of organic traffic, and that will remain true for the foreseeable future.
Regional Exceptions Worth Noting
The global figure obscures meaningful regional variation. Baidu commands the Chinese market. Yandex retains substantial share in Russia. Naver dominates South Korean search. If your business operates in or sells into these markets, the #1 search engine in your market may not be Google at all — a distinction that matters when allocating SEO budget and technical resource.
What Actually Counts as a Search Engine in 2025?
Here is where the standard answer gets complicated — and where most competitor articles stop asking the hard question. The word "search engine" was defined in an era when search meant typing a query into a box and receiving a list of blue links. That definition is now functionally obsolete.
When a user asks ChatGPT which accounting software a mid-market business should use, that is a search behaviour. When someone asks Perplexity to compare cloud hosting providers, that is a search behaviour. When a consumer watches three YouTube tutorials before buying a power tool, that is a search behaviour. None of these interactions appear in Google's query logs, and none of them are captured by traditional search market share data.
The Rise of AI Answer Engines
ChatGPT, Perplexity, Google's own AI Overviews, Microsoft Copilot, and Gemini are now handling queries that previously went to a ten-blue-links results page. These platforms do not rank pages in the traditional sense — they synthesise answers from sources they deem credible and cite selectively. That changes the economics of visibility entirely. A business that ranks third on a Google results page gets clicks. A business that is not cited by an AI answer engine gets nothing, regardless of its organic ranking.
YouTube as a Search Destination
YouTube processes billions of queries each month and is, by almost any behavioural measure, the world's second-largest search destination for intent-driven queries. For how-to content, product demonstrations, and review-style searches, a meaningful and growing share of users bypass Google entirely and head directly to YouTube. This is not a fringe behaviour — it reflects a genuine shift in how people prefer to consume instructional information.
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Why Search Market Share Data Misleads Marketers
Standard market share reports measure the share of explicit search queries processed by each engine. They do not measure:
- AI assistant queries that bypass search engines
- Direct-to-app searches on Amazon, TikTok, or Instagram
- Voice queries resolved by smart speakers without a screen result
- Zero-click interactions where an AI Overview answers the question before the user reaches any organic result
This means a business could watch its Google rankings hold steady while its actual organic discovery drops — because a growing portion of its potential audience is finding (or not finding) it through channels that market share data does not capture. The headline number — Google at 90%-plus — tells you where the legacy query volume sits. It does not tell you where intent is migrating.
The SEO Implication Nobody Talks About Plainly
Most SEO commentary frames the search engine question as a horse race: will Google stay #1, or will AI dethrone it? That framing misses the point that matters commercially. The question is not which platform processes the most queries — it is which platforms influence purchase decisions and brand awareness for your specific audience.
For a B2B software company selling to CFOs in the Gulf region, the relevant discovery landscape might include Google, LinkedIn, Perplexity (used heavily by technically sophisticated buyers), and AI Overviews. For a consumer brand selling kitchenware, YouTube and TikTok search may drive more purchase intent than organic Google rankings. The #1 search engine for your business is the one your buyers actually use when they are in discovery mode — and that answer varies by audience, category, and geography.
Citation Share Is Becoming More Important Than Rank Position
As AI answer engines grow in usage, the metric that matters is no longer simply "do we rank on page one?" but "are we cited when an AI answers questions relevant to our category?" These are related but distinct outcomes, and optimising for one does not automatically deliver the other. Brands that understand this distinction early are building content architectures and authority signals that serve both traditional and AI-driven search simultaneously.
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What to Do This Week — Concrete First Steps
Understanding the shifting search landscape is only useful if it changes what you actually do. Here are specific actions worth taking in the next five working days:
- Audit your discovery assumptions. Pull your last three months of analytics and identify what share of your organic traffic comes from Google versus other referrers. Then ask your sales team where prospects say they first heard of you — the gap between those two answers will tell you something about unmeasured discovery channels.
- Run your core category queries in Perplexity and ChatGPT. Search for the questions your buyers ask when they are in research mode. Note which brands and sources are cited. If you are not among them, that is a gap in your AI visibility strategy, not your Google strategy.
- Check your YouTube presence. If your category has significant how-to or review search behaviour — which you can validate by searching your key terms on YouTube and observing the view counts — and you have no video content, you are absent from a search destination that may rival Google for your audience's intent.
- Identify your structured data gaps. AI answer engines favour content that is clearly structured, properly attributed, and factually specific. Review your top ten pages for schema markup coverage and update any that are missing basic structured data.
- Brief your leadership team with a revised definition of "search." If your board or marketing director still equates search exclusively with Google rankings, the strategic conversations about budget and channel mix will be built on an incomplete picture. Reframe the question: not "how do we rank on Google?" but "how do we appear wherever our buyers are looking for answers?"
FAQ
Is Google still the #1 search engine in the world?
Yes, by conventional market share measurements, Google processes the large majority of the world's search queries and has done so for more than two decades. However, if you define "search" more broadly to include AI assistant queries, YouTube, and in-app search on platforms like Amazon or TikTok, the picture becomes considerably more fragmented.
Which search engine is growing fastest?
AI-powered answer engines — particularly Perplexity and the search-integrated versions of ChatGPT and Gemini — are growing rapidly from a small base. Google itself is integrating AI Overviews at scale. None of these challengers has displaced Google's overall query volume, but they are capturing a growing share of high-intent, research-stage queries.
Does Bing actually matter for SEO?
Bing warrants attention for two reasons beyond its own user base. First, Microsoft Copilot and several AI assistants draw on Bing's index for web citations, meaning Bing indexing affects your visibility in AI-assisted answers. Second, Bing tends to over-represent older, more affluent, and enterprise desktop users — a segment that matters disproportionately for certain B2B and premium consumer categories.
Should I optimise for AI search engines separately from Google?
The most efficient approach treats them as overlapping, not separate, problems. High-quality, well-structured, authoritatively attributed content serves both Google's ranking systems and AI citation systems. The differences emerge at the margins: AI engines reward clear factual specificity, structured answers, and named sourcing more explicitly than Google's ranking algorithm does. Building for AI citation is largely an extension of good content strategy, not a complete departure from it.
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Written by
Anjan LuthraManaging Partner, Indexed
Anjan Luthra is Managing Partner at Indexed. He has spent over a decade inside high-growth companies building organic search into their primary acquisition channel, and writes about SEO strategy, AI search, and revenue a…