In 2025, search is changing in a big way. Instead of just typing keywords, people now ask full questions.  Generative engines like ChatGPT and Gemini give answers right away.

Traditional search engines like Google still show links and pages. AI search skips the clicks and shows results straight in the chat. That means less scrolling and more instant answers.

We gathered real numbers to see how this shift is playing out. These stats show which methods people use most and why it matters. Let’s dive into the data and explore what’s next for search.


Which AI tools had the highest quarterly growth in Q2 2025?

The generative AI space isn’t all about one tool. Some platforms are clearly ahead, some are catching up fast, and others are building steady followings in specific areas. Here’s what the market looks like in Q2 2025:

Quarterly Growth by AI Tool

ChatGPT
>8%

Microsoft Copilot
>6%

Google Gemini
>5%

Perplexity
>10%

Claude AI
>14%

Grok
>12%

Deepseek
>10%

Komo
>7%

Brave Leo AI
>6%

Andi
>4%

 

Platform Purpose LLM Backbone Market Share
ChatGPT General-purpose AI chatbot GPT-3.5, GPT-4 59.70%
Microsoft Copilot General-purpose AI assistant GPT-4 14.40%
Google Gemini General-purpose AI assistant Gemini 13.50%
Perplexity Accuracy-focused AI search engine Mistral 7B, Llama 2 6.20%
Claude AI Business-focused AI assistant Claude 3 3.20%
Grok General-purpose AI search engine Grok 2, Grok 3 0.80%
Deepseek General-purpose AI search engine DeepSeek V3 0.70%
Komo Link-surfacing AI search engine Not disclosed 0.60%
Brave Leo AI Privacy-focused AI assistant Mixtral 8×7B 0.30%
Andi Simplicity-focused AI search engine Not disclosed 0.20%

Broader adoption mirrors these growth curves. As of August 2025, 38% of Americans have used AI tools like ChatGPT, Gemini, Copilot, Perplexity, and Claude—up from 8% in 2023.

About 21% use them more than ten times per month. Yet traditional search remains dominant: 95% still use Google, Bing, Yahoo, or DuckDuckGo monthly, with Google accounting for 87% of heavy search activity.

In practice, AI is being layered onto—rather than replacing—search habits.

If you’re an agency, startup, or freelancer, learning how to earn citations on ChatGPT is now a critical skill. Whether through prompt optimization, or content structuring that aligns with ChatGPT’s output style, your presence on the most-used AI assistant can directly shape discoverability and reach.

Top ChatGPT Statistics (2025)

ChatGPT reached 100M users in 64 days, breaking all previous records (Demandsage, Apr 2025)

Outpaced TikTok (9 months) and Facebook (4.5 years) to the same milestone.

Hit 2.5B monthly visits by May 2023; stabilized at 2B visits and 500M users/month by June 2023.

 Estimated 6% of global population and 12.5% of workforce use it monthly. 

 

line-graph-showing-chatgpt-monthly-visits-and-unique-users-from-2022m11-to-2024m3-with-gpt-3-5-and-gpt-4-0-release-markers-and-peak-visits-around-2023m5-followed-by-fluctuations


Which Content Types do AI Search Engines Surface Most?

Not all content gets the same attention in generative engines. Some use cases dominate, others stay consistent, and a few are slowly gaining ground. Here’s a look at what people are actually using AI for over the past year:

line-chart-showing-practical-uses-of-generative-ai-from-may-2024-to-march-2025

Here’s a summary of the GEO Statistics for content types generative engines prefer:

  1. General Research remained the top use case throughout the year, consistently close to 37% with minimal fluctuation.
  2. Academic Research held steady around 18–19%, showing it’s the second most common use, especially stable across all months.
  3. Email Composition and Coding Assistance were neck and neck, both ranging between 13–15%, with minor dips and recoveries.
  4. Commercial Research showed a gradual upward trend, growing from 4.7% to 6.4%, indicating rising business adoption.
  5. Marketing Copywriting stayed under 5% overall, with small surges in Dec 2024 and Feb 2025, but remained a niche use case.

Which websites do AI engines cite most often?

Recently a research was conducted by Josh Blyskal from Profound, who tracked over 534 million citations across ChatGPT, Perplexity, and Google AI Overviews to see which sources show up most often in generative search results. Here’s what stood out:

line-chart-showing-14-day-moving-average-of-wikipedia-org-citation-share-across-chatgpt-perplexity-and-google-ai-overviews-from-august-2024-to-may-2025-

Here’s a summary of the GEO Statistics for the most frequently cited websites in generative engines:

  • ChatGPT leaned hard on Wikipedia starting in Nov 2024, jumping from almost 0% to 13% of all citations nearly overnight.
  • It peaked in March 2025 at 15%—meaning 1 in 6 citations pointed to Wikipedia.
  • Then in just 3 weeks, that number dropped to 4%, showing how quickly AI source priorities can shift.
  • As of May 2025, Wikipedia citations in ChatGPT are climbing again—currently at 7.5%.
  • Google AI Overviews has kept Wikipedia use low—around 1% consistently.
  • Perplexity pulls from Wikipedia even less, sticking with broader web results.

(Profound, 2025)


Which Intent Types Dominate on Google Compared to Generative Engines?

Semrush’s US clickstream data from October and November 2024 Informational queries not only make up the bulk of searches in LLMs like ChatGPT but also most often trigger AI-generated summaries.

This reinforces that AI is reshaping the top of the funnel —especially where community Q&As highlighted in Reddit for GEO
inform informational summaries. Brands investing in awareness content need to rethink how they measure success when users are getting answers directly in the search results or generative engines .

comparison-of-search-intent-on-google-vs-chatgpt

Here’s a summary of the GEO Statistics for intent types in Google vs LLMs like ChatGPT:

  1. On Google, the dominant intent is navigational (49.6% of searches).
  2. On LLMs like ChatGPT, the dominant intent is informational (52.2% of “known” prompts).
  3. Top-of-funnel content is most at risk: Generative engines are reshaping awareness by answering questions before users ever reach your organic listing.
  4. Recent surveys confirm this behavioral shift. A July 2025 study by Innovating with AI revealed that 83% of users find AI-powered search tools more efficient than traditional engines.
  5. Bain & Company’s February 2025 research showed a similar trend, with 80% of consumers relying on AI-generated summaries for at least 40% of their searches.
  6. Adobe’s July 2025 report reinforced this momentum: 77% of U.S. ChatGPT users treat it as a search engine, and nearly one in four already prefer it over Google. Together, these findings underline how informational intent is steadily moving toward generative platforms.
  7. Adapt your strategy:  focus on capturing attention within AI Overviews for informational topics, while reinforcing transactional and brand-driven paths to maintain visibility.

AI-generated search results, such as Google’s AI Overviews, are reshaping user engagement by changing how people interact with content.

As intent shifts toward informational queries in generative engines, user behavior is also evolving. These changes affect how people interact with search results and websites, reshaping engagement patterns.

How Do AI-Generated Search Results Affect User Engagement?

Reduced Click-Through Rates (CTR): A Pew Research Center study found that when AI summaries were present, users clicked on traditional search links in only 8% of visits—compared to 15% when no AI summaries appeared.

Increased Zero-Click Searches: SparkToro data shows that 58% of U.S. searches now end without a click, as users get answers directly in AI summaries (SWS Marketing).

Impact on Website Traffic and Behavior: AI-driven clicks are fewer but more intentional. Visitors who do click through engage with fewer pages per session and bounce faster, but their intent is sharper and interactions more focused (Seoteric).

To capture this high-quality traffic, applying the most effective strategies for AI visibility enhancement ensures your content gets cited and trusted by AI engines, not skipped over.

Changes in Query Style: Users are asking longer, question-based queries that often trigger AI summaries. Roughly 31.6% of AI Overview queries start with “what,” “how,” or “why,” averaging 4.29 words in length (Glowtify).

For content creators, this means optimizing for visibility in AI summaries, producing concise, high-quality answers, and adjusting engagement metrics to reflect fewer—but often higher-quality—visits.

These engagement shifts translate directly into measurable performance. The most visible impact is on organic click-through rates, where GEO plays a defining role.

What Impact Does GEO Have on Organic Click-Through Rates (CTR)?

  1. Generative Engine Optimization (GEO) is already having a measurable impact on organic click-through rates (CTR). When AI-generated answers are displayed, CTRs for informational queries decline by more than half—dropping from 1.41% to 0.64% (Relixir).
  2. This pattern reflects the rise of zero-click searches, which made up nearly 60% of all Google searches in the US and EU during 2024—a trend accelerated by AI integration (GetAI Monitor).
  3. However, CTR erosion is not inevitable. Studies show that when brands are cited inside AI-generated answers, they experience a 38% lift in organic clicks and a 39% increase in paid ad clicks (Relixir).
  4. In practice, this means that GEO strategies—like optimizing content for clarity, citations, and authoritative statistics—can turn AI disruption into a new source of visibility and engagement.

How Do Generative Engines Differ in Their Content Sourcing?

A recent study by James Allen highlights striking differences in how top generative engines choose their citations:

line-chart-showing-search-engine-market-share-trends-from-march-2024-to-march-2025-with-google-dominating-above-90-percent-and-minor-fluctuations-among-bing-yandex-yahoo-duckduckgo-and-baidu

Here’s a summary of the GEO Statistics the difference of content sourcing for each generative engine:

ChatGPT (OpenAI GPT-4o): The Authority Seeker

  • Source preference: Encyclopedias, major news outlets, and reference-style materials
  • Top citations: Wikipedia (~27%), Reuters (~6%), Financial Times (~3%)

Google Gemini (2.0 Flash): The Balanced Synthesizer

  • Source preference: Mixes blogs, news sites, and a bit of community input
  • Top citations: Blogs (~39%), news (~26%), YouTube (~3%), community content (~2%)

Perplexity AI (Sonar mode): The Expert Curator

  • Source preference: Niche expert sites, review platforms, and quality editorial blogs
  • Top citations: Editorial blogs (~38%), news (~23%), expert review sites (~9%)

When is a Website Most Likely to Appear in AI-Generated Responses?

A study published on June 28, 2024 by students of Princeton, Georgia Tech, The Allen Institute of AI, and IIT Delhi, tested nine different Generative Engine Optimization (GEO) methods across thousands of content samples to see which ones actually increase visibility in AI responses. (GEO: Generative Engine Optimization, June 2024)

The evaluation was based on a blend of position-adjusted word counts and subjective impression scores (like relevance, influence, uniqueness, etc.) to figure out what content AI engines tend to pick up more often. (

  • Basic content without optimization had the lowest performance across all metrics, with an overall score of 19.3.
  • Keyword stuffing barely improved results, averaging 17.7 in performance and 20.2 in subjective impression—worse than doing nothing.
  • Content with unique word choices scored slightly better at 20.5, but still underperformed compared to advanced methods.

The most effective content types were those that were:

 

Score: 22.0

Easy to understand

 

Score: 25.0

Backed by Citations

 

Score: 25.4

Included Statistics

 

Score: 22.3

Authoritative

Method Overall Score Subjective Avg
No Optimization 19.3 19.3
Keyword Stuffing 17.7 20.2
Unique Words 20.5 20.4
Easy-to-Understand 22.0 20.5
Authoritative 22.3 22.9
Technical Terms 22.7 21.4
Fluency Optimization 24.7 23.4
Cite Sources 25.0 23.1
Quotation Addition 27.2 23.8
Statistics Addition 25.4 23.7

What Is the Impact of AI-Generated Search on Traditional Search Engine Traffic?

Since generative AI tools began gaining traction, conventional search results pages have felt the impact. Digitally native users—especially younger audiences—are increasingly turning to AI-powered interfaces like Perplexity and ChatGPT for conversational, context-rich answers. Their growing popularity among early adopters is nudging traditional search engines to integrate generative features and rethink how they deliver results.

Summary of GEO Statistics on SERP Impact

  • A sub-1% decline, while seemingly small, can be significant when it persists for several months.
  • As of April 2025, the next four engines combined now hold over 8% of the market:
    • Bing: 4.00%
    • Yandex: 2.49%
    • Yahoo!: 1.33%
    • DuckDuckGo: 0.79%

Decline in Organic Traffic

AI-generated summaries are accelerating this shift. Studies show organic traffic losses range from 15% to 64%, depending on the vertical and query type. Today, roughly 60% of queries end on the search page itself, with users satisfied by AI-powered overviews (Forbes).

Legal Challenges from Publishers

The decline in referral traffic has sparked lawsuits from major media owners. In September 2025, Penske Media—the parent of Rolling Stone and Billboard—sued Google over the use of its journalism in AI-generated overviews (Reuters). Similar challenges have emerged against Perplexity, underscoring how contentious AI-driven content sourcing has become.

Shifts in User Behavior

A July 2025 survey found that 55% of U.S. respondents now turn to generative AI tools like ChatGPT and Gemini instead of traditional engines for tasks such as travel planning, fitness routines, and tech troubleshooting (Tom’s Guide).

Impact on SEO and Traffic Quality

AI-generated results are also reshaping SEO. With AI overviews pushing organic listings further down the SERP, visibility drops even for top-ranked pages (Intent Amplify). Yet, some businesses report higher conversion rates from visitors arriving via AI-driven channels—up to 23x greater than standard organic traffic (PPC Land). This suggests that while overall volume is falling, AI search can deliver more qualified traffic.

Line chart showing search engine market share trends from March 2024 to March 2025 with Google dominating above 90 percent and minor fluctuations among Bing, Yandex, Yahoo, DuckDuckGo, and Baidu
Market share trends: diversification beyond Google is slowly increasing.

Where are Big Websites Getting  Their Traffic From?

Recent data shared by Aleyda Solis  AI-driven visits still amount to just a sliver—roughly 1–2% of referrals for most sites—and generate next to no revenue compared to classic organic search. And rather than abandoning Google for ChatGPT or Perplexity, people are simply tacking these new tools onto their existing search habits.

Website April 2025 Organic Search Traffic April 2025 AI Traffic
Wikipedia 3.35B 8M
Quora 407.72M 290.1K
bbc.com 213.1M 487.9K
NY Times 239.62M 544.8K
Amazon 573.38M 3.4M
Ebay 165.52M 1.2M
Walmart 139.1M 1.1M
Target 59.99M 455K
Home Depot 64.35M 906.2K
Booking.com 87.98M 229.3K
Tripadvisor 76.9M 247.9K
Canva 218.93M 3.6M
Adobe 102.09M 851.1K
Hubspot 8.23M 218K
Salesforce 17.36M 75.5K

 



What do the GEO Statistics Tell?

The numbers don’t lie, generative engines are redefining how we search, how we discover, and how brands earn visibility in 2025. As platforms like ChatGPT, Claude, and Perplexity continue to rise, the playbook is no longer about ranking #1 on Google, it’s about being cited, surfaced, and trusted by AI. That means content must evolve too.

Key Takeaways for Generative Engine Optimization Statistics  

  • Search is shifting: Users now favor AI tools like ChatGPT and Perplexity over traditional search engines.
  • User preference is clear: Over 80% of users report AI-driven results are more efficient than traditional search, and nearly 4 in 10 Americans use AI tools monthly.
  • AI platform growth remains strong: Claude (+14%), Grok (+12%), and Perplexity (+10%) lead in quarterly adoption.
  • User engagement is evolving: CTRs decline when AI answers appear, but cited brands can see up to a 38% boost in organic clicks.
  • Traffic is fragmenting: Organic losses of 15–64% are reported across industries, while AI-driven referrals—though smaller in volume—convert at much higher rates.
  • Source volatility continues: Wikipedia’s citation share in ChatGPT swung from 0% to 15%, then down to 4%.
  • SERP erosion is underway: Google’s dominance dips slightly as Bing, Yandex, and others gain share, signaling diversification.

These statistics show that Generative Engine Optimization isn’t a buzzword anymore. It’s measurable. It’s happening. And it’s the new stand

Sources

  • AI Platform Citation Patterns (Profound)
  • Who On Earth is Using Generative AI?, August 2024, World Bank Group
  • Search Engine Market Share Worldwide
  • ChatGPT Statistics 2025 – DAU & MAU Data [Worldwide] (Demandsage)
  • GEO: Generative Engine Optimization Study (Princeton University)
  • Semrush AI search SEO traffic study
  • Search Engine Land: How to get cited by AI
  • Aleyda Solis- AI Search: Where Are We & What Can We Do About It?