AI search vs Google search: what each is better at, and what the data shows

AI search gives you one written answer assembled from several pages. Google search gives you a list of links you choose from, now often with an AI summary on top of it. The practical difference is what happens next: on a results page the reader picks a source, and in an AI answer the choosing has already been done. Both are in daily use by the same people for different jobs, and Pew Research Center's browsing data shows what changes when a summary appears. This page compares the two on what they are good at, what the measured behaviour is, and what each one asks of a business.

The two mechanisms, side by side

Property	Google search results	An AI answer
What you get	A ranked list of links, with features like maps, images and snippets	Written prose, with or without citations attached
How many sources	Ten or so on the first page, chosen by you	Several, blended, chosen by the system
Freshness	Index based, updated continuously	Live fetch for some questions, model training for others
Position	A real property you can measure	No ranked list, so the measure is how often you are named
Follow up	A new search	A conversation that keeps the earlier context
What a business can see	Impressions, clicks and position in Search Console	No console, so the measurement is made by asking

What each one is better at

A results page wins when you want to choose the source. Buying something, reading a primary document, checking a law, comparing prices, finding a specific site you half remember. The list is the feature, because seeing who is saying it is part of the answer.

An AI answer wins when the answer is the point. Explaining a concept, summarising a long document, drafting something, working through a decision with follow up questions, or combining several facts that live on different pages. Query fan out, which Google documents for AI Overviews and AI Mode, is why: the system issues several related searches and assembles one response, so it can answer a question no single page covers.

Both are now in the same box. Google AI Overviews and AI Mode sit on top of Google Search, and Google's documentation on AI features states that to be shown as a supporting link a page must be indexed and eligible to appear in Search with a snippet, with no additional technical requirements. Being in the index is the entry ticket to both.

What the measured behaviour looks like

Pew Research Center analysed the browsing data of 900 US adults who agreed to share it, covering 68,879 unique Google searches made during March 2025. Of those searches, 12,593 produced an AI summary. Four findings from that analysis are worth having in front of you.

• 18 per cent of all the Google searches in the study produced an AI summary, and 58 per cent of respondents ran at least one search that produced one during the month.
• Users who saw an AI summary clicked a traditional result link on 8 per cent of visits. Users who did not see one clicked on 15 per cent of visits.
• Clicks on a link inside the summary itself happened on 1 per cent of visits to pages that had one.
• Browsing sessions ended on 26 per cent of pages with an AI summary, against 16 per cent of pages with only standard results.

Read those together and the shape is clear. The summary is not yet on most searches, and where it appears the click goes away far more often than it goes to the summary's own sources. That is why a business measuring only clicks sees a decline with no explanation attached, and it is the subject of zero click search.

Who the sources are

The same Pew analysis counted which domains were cited. Wikipedia, YouTube and Reddit were the most commonly linked sources in both AI summaries and standard results, together accounting for 15 per cent of the sources listed in the AI summaries examined and 17 per cent of those in standard results. Government sites appeared more often in summaries than in standard results, at 6 per cent against 2 per cent. The vast majority of summaries, 88 per cent, cited three or more sources, and 1 per cent cited only one.

Two things follow from that for a business. Being present on established reference and community sites matters as much as publishing on your own domain. And because almost every summary draws on at least three sources, the work is to be one of several that agree rather than the single best page.

Is AI replacing Google?

The honest description is addition rather than replacement. Google's AI surfaces run on the Google index, so Google search is inside AI search on those surfaces. The assistants add a second route that sits outside Google entirely, and on a growing share of questions a buyer reaches a shortlist without ever opening a results page. The planning consequence is that you now have two surfaces to be eligible for, built mostly on the same foundations.

What each one asks of a business

• Shared foundation. Crawlable, renderable, indexed pages. A page that fails here is out of both.
• For the results page. Ranking, titles that earn a click, and the result features your query deserves.
• For an AI answer. One page per buyer question with the answer in the first two sentences, checkable facts with dates, and your name on sites you do not own. Position ten earns you nothing in an answer that names three companies.
• AI Knows Us takes that second reading for you and keeps the sources beside it.

This page compares the two surfaces and what they ask of you. For the work itself, see GEO versus SEO. For the strategic consequence, see what changes when AI answers replace the results page.

AI search vs Google search: the questions that keep coming up

Is ChatGPT better than Google for search?

They are good at different jobs. ChatGPT is better when you want a synthesised answer and a conversation about it. Google is better when you want to pick your own source, see many options, or get something current and local. Many people use both within the same task.

Do AI answers reduce my traffic?

Pew's data shows clicks on traditional result links at 8 per cent of visits where a summary appeared against 15 per cent where none did. If your impressions hold and your clicks fall, this is the first thing to check, before you look for a ranking problem.

Does ranking well in Google get me into AI answers?

For Google's own AI surfaces it is the requirement, since a page has to be indexed and snippet eligible. For the assistants it helps because the same technical work makes you fetchable, and the content work is different: a quotable passage and corroboration from other sites.

Which should I optimise for?

Do the shared foundation once, then write one page per buyer question with the answer at the top. That page serves both surfaces, which is why this is one programme rather than two.

How do I know which surface my buyers use?

Ask them. Add one question to your enquiry form about how they found you, and read the referrers from assistant domains in your analytics. Both are small signals and together they point clearly enough to plan from.

What to do first

• In Search Console, compare impressions against clicks over the last twelve months on your top twenty queries. A widening gap is the pattern to look for.
• Run those same twenty queries by hand and note which ones now return an AI summary.
• Ask five of them as full sentences in two assistants, without naming your company, and save who was named and what was cited.
• Pick the three questions where you were absent and write one page each, question as the title, answer in the first paragraph.
• Check whether your name appears on any of the reference and community sites that kept turning up in the citation lists.