For the first time since 2010, Google's global search share has fallen below 90%. ChatGPT now processes over 1 billion web searches per week. Gartner predicts a 25% drop in traditional search volume by 2026.
These aren't predictions—they're happening now. This analysis compiles the latest data on AI search adoption, user behavior changes, and what the numbers mean for businesses that depend on search visibility.
The Numbers: AI Search Market Share 2025
Google's Eroding Dominance
Google's position has measurably weakened:
| Metric | Status | Change |
|---|---|---|
| Global search share | 89.54% | Below 90% for first time since 2010 |
| General info searches | 66.9% | Down from 73% in 6 months |
| Queries showing AI Overviews | 47-60% | Varies by study and query type |
This isn't a collapse—Google still dominates. But the trajectory matters. For informational queries specifically, Google's share dropped 6 percentage points in just six months. That's the fastest erosion in the company's history.
AI Search Platform Market Share
The AI search landscape in December 2025:
| Platform | Market Share | Notes |
|---|---|---|
| ChatGPT | 61-82% | Dominant leader, 77.97% of AI referral visits |
| Google Gemini | 13.4% | Fastest growth—wasn't in top 10 at start of year |
| Perplexity | 6.4-8.2% | Second-place AI-native player |
| Claude (Anthropic) | 3.8% | Highest quarterly growth rate (14%) |
| Microsoft Copilot | ~5% | Enterprise-focused |
The Traffic Reality Check
Before over-rotating on AI search, context matters:
- AI platforms account for 0.15% of global internet traffic
- Traditional organic search accounts for 48.5%
- However, AI traffic has grown 7× since 2024
The absolute numbers are still small. The growth rate is extraordinary.
User Behavior: How People Actually Search Now
The Adoption Curve
The behavioral shift is real:
- 24% of users now choose ChatGPT before Google when starting a search
- Daily AI tool usage doubled from 14% to 29.2% in 2025
- ChatGPT usage for general searches tripled from 4.1% to 12.5%
- 34.8% of people have actively changed their search behavior
The Generational Divide
| Generation | AI Search Adoption | Behavior |
|---|---|---|
| Gen Z | 70%+ active users | Increasingly bypass Google entirely |
| Millennials | 70%+ active users | Strategic platform switching |
| Gen X | Moderate adoption | Use AI for complex queries |
| Boomers (57+) | Slowest to adopt | High satisfaction once they start |
The generational pattern is important: Gen Z's preference for AI search (and TikTok, and Instagram as search platforms) isn't a trend—it's demographic inevitability. As they become the majority of internet users, their preferences become the default.
Query Style Transformation
How people ask has fundamentally changed:
| Old Behavior | New Behavior |
|---|---|
| 3-5 word keyword queries | 20+ word conversational prompts |
| Single search session | Multi-turn conversations with follow-ups |
| Click, read, return | Get answer, maybe verify |
| Linear journey | Non-linear, multi-platform exploration |
"Tell me about" queries are up 70% year-over-year. "How do I" searches hit all-time highs, up 25%.
Users aren't just searching differently—they're having conversations with search.
The Verification Paradox
Despite AI's convenience, users don't blindly trust it:
- 48% always verify AI answers across multiple platforms
- Only 10% trust the first AI-generated result without question
- 98% of ChatGPT users still also use Google
People are becoming strategic about platform selection based on query type. They use AI and traditional search in tandem, cross-referencing and verifying.
This creates both challenge and opportunity: if users verify across sources, you need visibility in multiple places.
Zero-Click: The New Reality
The Death of the Click
The zero-click trend has accelerated:
- When AI Overviews appear, users are 47% less likely to click traditional results
- Only 8% of visits with AI summaries result in clicks (vs. 15% without)
- Top-ranking pages affected by AI Overviews see 34.5% traffic cuts
For Google's AI Mode specifically, the numbers are even more stark: 93% of AI Mode searches end without a click—more than twice the rate of AI Overviews.
What Zero-Click Means
Zero-click doesn't mean zero value. When your brand is cited in an AI answer:
- Users see your brand name (awareness)
- You're positioned as authoritative (trust transfer)
- Users may search for you directly later (delayed conversion)
- Brand recall increases for future purchase decisions
The shift is from clicks as the goal to visibility as the goal. You're optimizing to be cited, not just to be clicked.
The Conversion Quality Offset
Here's the counterintuitive finding: while clicks decrease, the clicks that do happen are more valuable.
Adobe's research on AI referral traffic shows:
- Visitors from AI search stay 8% longer
- They explore 12% more pages
- They're 23% less likely to bounce
The traffic is more qualified. Users arriving from AI recommendations have already been filtered—they're further in their research and more likely to convert. Our AI search conversion rates study quantifies how these engagement differences translate into revenue impact across different e-commerce categories.
What Users Actually Ask AI
Understanding query distribution helps prioritize optimization:
| Query Category | Share of AI Queries |
|---|---|
| General knowledge | 40.3% |
| Writing assistance | 19% |
| Product recommendations | 14.8% |
| Local business recommendations | 11.6% |
| Coding/technical help | 8.4% |
For e-commerce, that 14.8% in product recommendations represents the direct opportunity. But the 40.3% in general knowledge is where you build authority—answer the questions that lead to purchase decisions.
AI Overviews: Google's Response
Rollout Data
Google's AI Overviews have been volatile:
| Month (2025) | Queries with AI Overviews |
|---|---|
| January | 6.49% |
| February | 7.64% (+18% MoM) |
| March | 13.14% (+72% from Feb) |
| July | 24.61% (peak) |
| November | 15.69% (pulled back) |
Google aggressively tested in mid-2025, then scaled back—likely based on user data and quality concerns. The volatility suggests they're still calibrating.
Query Type Distribution
AI Overviews heavily favor informational queries:
- 88-91% trigger on informational keywords
- Navigational queries grew from under 1% in January to 10%+ by November
- Science (25.96%), Computers & Electronics (17.92%), and People & Society (17.29%) see highest saturation
The Trust Problem
Despite high prevalence, trust remains an issue:
- 58% of US adults have encountered at least one Google AI summary
- Only 8.5% always trust AI Overview information
This trust deficit is a major hurdle—and an opportunity for brands that can become the trusted source AI cites.
Perplexity: The Challenger to Watch
Explosive Growth
Perplexity's trajectory deserves attention:
| Metric | Value | Growth |
|---|---|---|
| Valuation | $18 billion | Up from $14B mid-2025 |
| Monthly active users | 22-45 million | +47% YoY |
| Monthly queries | 780 million | Tripled from 230M mid-2024 |
| Daily queries | 30 million | Up from 3,000/day in 2022 |
| Revenue (ARR) | $100M+ | Up from $20M in 2024 (500% YoY) |
Why Perplexity Matters
Perplexity has the best crawl-to-refer ratio among AI platforms:
| Platform | Crawl-to-Refer Ratio |
|---|---|
| Anthropic | 25,000:1 to 100,000:1 |
| OpenAI | Up to 3,700:1 |
| Perplexity | Below 400:1, often under 200:1 |
Lower ratios mean more efficient traffic generation per crawl—Perplexity sends more actual visitors relative to how much they crawl. This matters for site operators concerned about AI crawling overhead.
Business Model Evolution
Perplexity is building multiple revenue streams:
- Premium subscription: $20/month
- Email Assistant: $200/month (enterprise)
- Publisher revenue sharing: 300+ publishers receive ad revenue when cited
- Search API: Developer-focused product
The publisher revenue-sharing model is particularly interesting—it creates aligned incentives between Perplexity and content creators.
ChatGPT Search: The New Giant
Massive Scale
OpenAI's search numbers are staggering:
- 1 billion+ web searches in ChatGPT per week (as of April 2025)
- 700 million weekly active users (September 2025)
- 400+ million weekly active users (February 2025 benchmark)
- Overtook Wikipedia in monthly website visits
The Shopping Expansion
In April 2025, ChatGPT search added:
- Product recommendations with images and reviews
- Direct purchase links to merchant websites
- Trending searches during typing (autocomplete competitor to Google)
This positions ChatGPT as a direct shopping research tool—users can now ask "What's the best moisturizer for oily skin under $50?" and get actionable purchase options.
Roadmap Signals
OpenAI has indicated focus on:
- Improved vertical search in shopping and travel
- Integration with o1 reasoning models for deeper research
- Advanced voice integration for search
- Canvas integration for complex research tasks
Analyst Predictions: Where This Goes
Gartner's Forecast
Gartner's predictions are the most widely cited:
By 2026:
- Traditional search engine volume drops 25%
- Daily queries decline from ~14 billion to 10-11 billion
- "Generative AI solutions are becoming substitute answer engines"
By 2028:
- Organic search traffic decreases 50% or more
- Traditional SEO/PPC gives way to "Agent Engine Optimization"
- Products need to be machine-readable for autonomous M2M transactions
The Economic Crossover
Multiple sources converge on timing:
- Late 2027: AI search delivers equal or greater economic value than traditional search
- 2028: $750 billion in US revenue flows through AI-powered search
- 2029-2030: AI search definitively surpasses traditional search worldwide
Unprepared brands may see 20-50% decline in traditional search traffic with no alternative channel. For a deeper look at what these trajectories mean for e-commerce strategy, see our AI search predictions for 2026 and beyond.
What This Means For Your Business
The Strategic Imperatives
1. Visibility Over Clicks Optimize to be cited, not just ranked. Your brand mentioned in an AI answer—even without a click—builds awareness and trust.
2. Multi-Platform Presence Users verify across platforms. You need visibility in ChatGPT AND Perplexity AND Google AI Overviews AND traditional search.
3. Conversion Quality Over Volume AI-referred traffic converts better. Fewer clicks might mean equal or greater revenue if those clicks are more qualified.
4. Content for Citation Structure content so AI can extract and cite it accurately. Answer-first formatting, specific facts, proper schema markup.
5. E-E-A-T Investment AI systems cite authoritative sources. Expert credentials, third-party validation, and consistent cross-platform presence matter more than ever.
The Timeline
You're not preparing for a future shift—you're adapting to a current reality:
- Now: 60% zero-click, 24% choose AI before Google
- 2026: 25% volume decline, behavioral shift accelerates
- 2027: Economic value crossover
- 2028+: AI search becomes primary for majority of users
The brands building AI visibility today will have compounding advantage. Those waiting until 2027 will be playing catch-up against established AI-visible competitors.
See Your AI Search Position
PageX analyzes your visibility across ChatGPT, Perplexity, and Google AI Overviews. Understand where you stand today—and what to fix.
Frequently Asked Questions
Is Google dying?
No. Google still has 89%+ market share. But growth has stopped and share is eroding for the first time in 15 years. The more accurate framing: Google is becoming one of several search platforms rather than the only one.
Should I block AI crawlers?
Generally, no. Blocking AI crawlers means you can't be cited in AI answers. Unless you have specific concerns about AI training on your content, blocking removes you from a growing discovery channel.
When should I start optimizing for AI search?
Now. 24% of users already choose AI before Google. The brands building AI visibility today will have compounding advantage as adoption accelerates.
Will AI search replace traditional SEO?
AI search is evolving from SEO, not replacing it. The sites that rank well in traditional search are the sites AI cites. Your SEO foundation matters—AI visibility builds on top of it.
How do I measure AI search success?
Tools like Otterly.AI, Semrush AI Toolkit, and ZipTie track citations across AI platforms. Key metrics: citation frequency, accuracy, sentiment, and share of voice vs. competitors.
Related Reading
- What is Generative Engine Optimization (GEO)? - Fundamentals of optimizing for AI search
- E-E-A-T for AI Search: How to Get Cited - Building authority signals that make AI recommend you
- Zero-Click Search Survival Guide - Strategies for the 60% zero-click reality
- How to Rank in ChatGPT Search - Platform-specific optimization tactics
- Measuring AI Search Success - Tools and KPIs for tracking AI visibility
Sources
This analysis draws from: