Google AI Overviews can appear in Search when Google’s systems determine that a generated summary would help users understand information from multiple sources.

This can reduce the need to visit another website for simple questions. For businesses, the opportunity is to provide information that supports the answer while offering enough original value to justify a click.

TL;DR

• Google AI Overviews can give users a generated snapshot before they visit other search results
  
  

• Independent research suggests AI summaries may reduce clicks for some informational searches, but the effect varies by query, market and intent
  
  

• Commercial research still matters because AI Overviews are increasingly appearing while people compare products and services
  
  

• Brands should prioritise original evidence, clear comparisons, accurate product information and strong technical SEO
  
  

• Measure AI visibility alongside click-through rate, leads, sales and branded search demand

What Are AI Overviews?

AI Overviews change the order of some search journeys by presenting key information and supporting links before a user explores the wider results page.

Some searches now begin with an AI-generated snapshot

For some queries, a searcher may see Google AI-generated answers with key information and links before deciding whether to explore other results.

Google says AI Overviews appear when its systems determine that generative AI can be especially helpful, such as when someone wants to understand information from several sources. The official Google AI Overviews guidance also warns that generated responses can contain mistakes.

Traditional results have not disappeared. An AI Overview is one part of the wider search results page, and it does not appear for every query.

AI Overviews and AI Mode currently serve different purposes

Google continues to update both experiences, so the distinction describes how they currently work rather than a permanent product boundary.

Google describes AI Mode as an expanded AI search experience that uses more advanced reasoning and query fan-out to explore several parts of a question.

How AI Overviews Are Changing Search Behaviour

Searchers can sometimes receive enough information to continue, refine, or end a journey without immediately visiting another website.

One study found fewer clicks after AI summaries

Pew Research Center analysed 68,879 Google searches associated with the browsing activity of 900 US adults in March 2025.

In that sample, users clicked a traditional result in 8% of visits where an AI summary appeared, compared with 15% of visits without one. Links inside the AI summary received clicks in 1% of visits.

The Pew study on clicks after AI summaries reflects one country, sample and study period. Its figures should not be treated as a universal click-loss benchmark for every industry or query.

Longer queries triggered more summaries in Pew’s study

In the same sample, AI summaries appeared on 8% of searches containing one or two words and 53% of searches containing ten words or more.

Compare:

• “CRM software”
  
  

• “CRM for a 20-person sales team that uses Slack and needs simple reporting”

The second query includes the team size, existing technology and desired outcome. This helps explain one difference between AI search versus traditional search: users can express a fuller situation rather than entering several short, disconnected searches.

The figures do not prove that every long query will trigger an AI Overview. They show how the feature appeared within Pew’s sample.

Zero-click does not mean zero influence

Zero-click behaviour around AI Overviews makes website visits harder to earn and measure. A brand mention or citation may still affect awareness or consideration, but that influence should not be assumed to produce revenue.

Businesses still need pages that give searchers a reason to continue beyond the summary.

For practical ways to respond when searchers get answers without visiting a website, read How to Recover Lost Ecommerce Sales From Zero-Click Searches. 

Why Commercial Search Still Matters

AI-generated summaries are also appearing while people compare products and services, where visibility may influence which options they investigate further.

Vendor data suggests expansion into commercial research

Semrush analysed more than 600,000 US desktop keywords across ten industries between November 2025 and April 2026.

Its study of AI Overviews on commercial searches found that appearances on commercial-intent results grew by an average of 71%, while appearances on transactional queries declined by 5%.

This is vendor research based on Semrush’s keyword database, not a universal description of Google Search. The distinction between the two query types is still useful:

• A commercial query involves comparing or evaluating options
  
  

• A transactional query shows a stronger intent to complete an action

The findings suggest that AI-generated summaries could influence which products, platforms or providers a searcher considers before they are ready to buy. This is a marketing inference, not a directly proven Google platform claim.

What this means for ecommerce

A query such as “best moisturiser for sensitive skin in humid weather” asks for suitability, comparison and evidence.

A useful ecommerce source might include verified ingredients, original product testing, delivery details, return terms and relevant customer feedback.

Ecommerce teams can explore the product-page implications in more detail in How to Get Shopify Product Pages Featured in Google AI Overviews. 

What this means for B2B and SaaS

A search such as “project-management software for a remote agency that needs client approvals” contains a specific operational need.

A useful B2B page could provide integration details, limitations, screenshots, pricing context and a relevant case study.

A generic definition may give users less reason to click when the AI Overview already covers the basic explanation.

How to Optimise for Google AI Overviews

The practical approach remains grounded in strong SEO, original information and a clear reason for the user to continue to the website.

Publish information that is difficult to replace

Prioritise:

• First-hand experience
  
  

• Original tests and comparisons
  
  

• Product or service data
  
  

• Demonstrations and screenshots
  
  

• Clear limitations and trade-offs
  
  

• Relevant case studies
  
  

• A distinct expert point of view

Google’s official guide to optimising for generative AI Search recommends valuable, unique and non-commodity content rather than pages that repeat information already available elsewhere.

Keep the technical foundation intact

Google AI Overviews optimisation still depends on established SEO practices:

• Crawlable and indexable pages
  
  

• Clear headings and internal links
  
  

• Accurate product and business information
  
  

• Useful images and videos
  
  

• Correctly structured data
  
  

• Reliable Merchant Center information for ecommerce

Meeting these requirements does not guarantee inclusion, but weak technical foundations can prevent useful content from being discovered or indexed.

Ignore unsupported shortcuts

For Google Search, Google says businesses do not need:

• Llms.txt

  

• Special AI schema
  
  

• Artificially small content chunks
  
  

• Content rewritten solely for generative AI
  
  

• A separate page for every conversational variation
  
  

• Inauthentic mentions designed to influence generated responses

These statements apply specifically to Google Search. Other AI services may follow different technical practices.

Give people a reason to continue

An AI Overview can provide a summary. The website should offer something the summary cannot fully replace, such as evidence, interaction, detailed comparison, a tool or a useful next action. 

What E-E-A-T Means for AI Overview Visibility

E-E-A-T is a quality framework, not a numerical score or a published formula for earning AI Overview citations.

Show experience instead of claiming it

The relationship between E-E-A-T and AI Overviews is best understood through the source material itself:

• An ecommerce brand publishes original product tests
  
  

• A SaaS company demonstrates how an implementation works
  
  

• A consultant explains where an approach may fail
  
  

• A qualified reviewer checks sensitive claims

Google’s explanation of experience within E-E-A-T says trust remains the most important part of the framework. Google has not published a formula connecting E-E-A-T directly to AI Overview citations.

Make important claims verifiable

Name authors or reviewers where qualifications matter. Support important claims with reliable evidence, keep commercial details accurate, and explain relevant limitations.

An author biography alone will not make weak content trustworthy.

How Should Businesses Measure the Impact?

AI visibility should be assessed alongside traffic and commercial outcomes rather than treated as an isolated citation count.

Track visibility, traffic and results together

Monitor:

• Queries that retain rankings but lose click-through rate
  
  

• Pages gaining impressions without proportional traffic
  
  

• Brand mentions and citations in AI Overviews
  
  

• Commercial queries where AI summaries appear
  
  

• Leads, sales and assisted conversions
  
  

• Changes in branded search demand
  
  

• Generative AI performance in Search Console, where available

A citation may support visibility without creating an immediate visit. Measurement should therefore connect Search performance with the wider customer journey.

What Should Brands Do Next?

Google AI Overviews are changing how some people research, compare and decide. Identify the queries where an AI-generated snapshot now affects the customer journey. Improve generic pages with original evidence, protect technical SEO and measure visibility alongside leads and sales.

Need help adapting your content to AI-led search? Connect with No Fluff to build an AI-search visibility strategy that makes your expertise easier to find, trust and act on.