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Are People Still Using Google Or Switching To Ai Search

Written by: Content & GEO Research

Fastlook Team

Posted: 7 min readUpdated:

Are people still using Google or switching to AI search? The honest answer is both, and the split is uneven. Google still holds the large majority of search volume, while AI assistants are taking a growing share of research and informational queries, changing where clicks go. This page separates the usage, search volume, click-through, and referral metrics that most headlines blur together, so you can see what the evidence supports and what it cannot yet show.

Quick answer

Most people use both. According to Search Engine Land, 37% of consumers start some searches with AI tools, **while Similarweb data for May 2026 shows 95% of ChatGPT users also use Google**. The shift is happening at the level of individual queries, especially informational ones, rather than as a full exit from Google.
Topic
are people still using google or switching to ai search
Last updated
Nov 14, 2026
Read time
7 min
Are People Still Using Google Or Switching To Ai Search — brand illustration

Key Takeaways

  • Most adults now use both, and the headline figures mean different things.
  • Yes, AI use appears to reduce Google searches, but the effect is modest and uneven.
  • Click loss is the sharpest effect, and publishers feel it first.
  • Frustration with the results page drives this shift as much as enthusiasm for AI.
  • Informational queries are moving fastest to AI tools.
How it works: comparison page
  1. 1
    Key Takeaways
  2. 2
    Are people still using Google or switching to AI search?
  3. 3
    Does AI use reduce how many Google searches people run?
  4. 4
    How do AI answers change clicks and referral traffic?
  5. 5
    Why are people turning to AI search?
  6. 6
    Which query types are moving to AI, and which stay on Google?

Most adults now use both, and the headline figures mean different things. According to Search Engine Land, 37% of consumers start some searches with AI tools instead of Google. That is a starting-point metric, not a replacement rate. Similarweb data for May 2026, cited by Hyperweb, shows 95% of ChatGPT users also use Google, so the audiences overlap heavily. Switching is happening at the margin of individual queries, not as a wholesale exit from Google.

MetricWhat it measuresSource
37% start searches with AIShare of consumers who begin some searches in AI toolsSearch Engine Land
95% of ChatGPT users also use GoogleAudience overlap, not behavior changeHyperweb

Starting-point and overlap figures answer different questions. Neither proves that total search volume has moved.

Does AI use reduce how many Google searches people run?

Yes, AI use appears to reduce Google searches, but the effect is modest and uneven. A Bocconi University study tracked US desktop households from late 2024 to mid-2025. Households with access to ChatGPT Search ran 9.4% fewer traditional searches. The gap reached 17% after 20 weeks. Separately, according to Search Engine Land, Google searches per US user fell nearly 20% from 2024 to 2025. The decline in Europe was only 2 to 3%. Isolating causation is hard, however. Researchers should treat these results as correlated trends, not proof of substitution. Specifically, the evidence points to three considerations:

  • Household access to ChatGPT Search, as tracked in the Bocconi study
  • Changes in Google searches per US user, per Search Engine Land
  • Regional differences between US and European search volumes

How do AI answers change clicks and referral traffic?

Click loss is the sharpest effect, and publishers feel it first. According to The Digital Bloom, between 58% and 60% of Google searches already end without a click. That rate rises to 83% when Google AI Overviews appear. In a seven-day August 2026 experiment with 1,100 US Chrome users, routing searches into Google's AI Mode reduced click-throughs to external websites by 18.8 percentage points. About one in seven participants said they found it harder to reach the specific site they wanted. Per Press Gazette reporting on Chartbeat data, Google search traffic to publishers fell globally by a third in the year ending November 2025. The main effects are:

  • Zero-click searches, measured by The Digital Bloom
  • Reduced click-throughs in Google's AI Mode experiment
  • Lower publisher search traffic, reported by Press Gazette

Frustration with the results page drives this shift as much as enthusiasm for AI. A Botify/YouGov study published in January 2026, reported by Search Engine Land, found specific complaints.

Forty percent of respondents complain about clicking through too many links. Thirty-seven percent cite too many ads and sponsored results. Thirty-three percent struggle to get a straight answer. Twenty-eight percent encounter repetitive or low-quality information.

According to a Botify/YouGov study cited by Ziptie, 60% of respondents believe AI gives clearer answers. That figure measures perception, however, not accuracy. Users are responding to a results page that often fails to deliver direct answers.

Which query types are moving to AI, and which stay on Google?

Informational queries are moving fastest to AI tools. The Bocconi study found referrals to academic sites fell by about a third. Referrals to reference sites fell by about a quarter.

These were the steepest drops in the dataset. Local and navigational queries remain stronger on Google. According to StatCounter, Google commands 94.1% of US mobile search and 85.4% of US desktop search. Commercial queries sit in between.

Research happens in AI tools, while final selection often still involves a traditional results page. Specifically, the more a query asks for a single answer, the more likely an AI tool will handle it.

What the current research cannot yet show

Several limits deserve weight before you act on any single figure. Referral data from Similarweb and click studies from short experiments capture slices of behavior, not full journeys. Google's own claim that AI feature users search more has not been verified, because it has not released baseline data. Most studies also track desktop or US users, so generalizing to mobile or other markets is risky. The honest reading is a directional shift in clicks and discovery, not a measured collapse in search.

LimitationWhy it matters
Self-reported surveysBehavior claims depend on what people say they do
Short experimentsSeven-day windows may not reflect long-run habits
Unverified Google baselineFeature usage claims cannot be checked independently
Mostly US and desktop dataMobile and non-US behavior may differ

What this means for businesses and publishers maintaining visibility

Visibility now has two surfaces: the ranked link and the cited answer. Answer engine optimization (AEO) and generative engine optimization (GEO) focus on becoming the source an AI engine quotes.

Traditional SEO still earns the ranked click. Pages that state specific, sourced facts are most likely to be cited. Pages that mark up their structure and answer buyer questions directly also stand out.

Fastlook's Citation Analytics tracks where a brand appears across ChatGPT, Perplexity, and Google AI Overviews. This gives teams a measured view instead of an assumption. Plan for both channels, measure both, and review the split each quarter.

Frequently asked questions

Are people still using Google or switching to AI search?

Most people use both. According to Search Engine Land, 37% of consumers start some searches with AI tools, **while Similarweb data for May 2026 shows 95% of ChatGPT users also use Google**. The shift is happening at the level of individual queries, especially informational ones, rather than as a full exit from Google.

Does using AI search reduce how many Google searches people make?

It appears to, modestly. A Bocconi University study found US households with ChatGPT Search access ran 9.4% fewer traditional searches, **rising to 17% after 20 weeks**. Causation is difficult to isolate, so the result shows a correlated trend rather than proof that AI directly replaces Google searches.

How do AI search tools affect website clicks?

They reduce clicks substantially for some queries. Between 58% and 60% of Google searches already end without a click, rising to 83% when AI Overviews appear, per The Digital Bloom. An August **2026 experiment found AI Mode reduced click-throughs to external sites by 18.8 percentage points**.

Why are people switching to AI search?

Frustration with the results page is a major driver. A Botify/YouGov study reported by Search Engine Land found 40% complain about too many links, 37% about ads and sponsored results, and 33% struggle to get a straight answer. About 60% of respondents believed AI gives clearer answers.

Which types of queries are moving to AI first?

Informational queries move fastest to AI. The Bocconi study found referrals to academic sites fell about a third. Referrals to reference sites fell about a quarter. Local and navigational queries remain stronger on Google. Google holds 94.1% of US mobile search and 85.4% of US desktop search, according to StatCounter.

How reliable is the research comparing AI and Google search?

The research is limited, so read it directionally. Surveys self-report behavior, and short experiments cover only days. Most of the data is US-focused. Google has not released baseline data to verify its claim that AI feature users search more. Therefore, treat current findings as early indicators rather than settled conclusions.

Should I still invest in SEO if people use AI search?

Yes, but add answer engine optimization alongside SEO. Traditional SEO still earns ranked clicks. AEO and GEO aim to get your content cited inside AI answers. Measuring both channels shows where your visibility is actually shifting. For example, citation tracking across ChatGPT and Perplexity reveals which AI answers mention your brand.

What does this mean for publishers and content teams?

Publisher referrals from Google have dropped sharply. Per Press Gazette reporting on Chartbeat data, Google search **traffic to publishers fell by a third globally in the year ending November 2025**. Content teams need pages that AI engines can extract and cite, with clear structure and sourced facts, alongside their ranked pages.

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