AI Overviews and Commercial Search Intent: What 600,000+ Keywords Reveal

Google is changing the way people shop, compare products, and choose service providers. Instead of clicking through several websites to find answers, users can now get an AI-generated summary right on the search results page. Convenient for searchers? Absolutely. A little nerve-racking for businesses hoping to earn that click? You bet.

A July 2026 study from Semrush found that AI Overviews increased by 71% across commercial-intent search results over six months. The study analyzed more than 600,000 US desktop keywords across 10 industries. Meanwhile, AI Overviews appeared 5% less often on transactional-intent searches during the same period. In other words, Google seemed increasingly interested in helping people compare their options, even if they were not quite ready to buy.

And the trend didn’t stop there. Semrush research published in October 2026 found that AI Overviews appeared on 88% of a separate sample of 400 commercial keywords in August 2026, up from 45.75% in September 2025. When the data was weighted by estimated search volume, coverage climbed to 97.08%.

That gives SEO teams something to think about. If Google answers a potential customer’s questions before they visit your website, how do you earn their attention; and, more importantly, their business? Ranking well still matters, but getting the click may require a little more work than it used to.

The two studies use different keyword samples and measurement periods, so their findings shouldn’t be treated as one continuous dataset. Still, both point to a clear shift: AI Overviews are becoming harder to ignore on searches where people research, compare, and evaluate their options.

In this article, we’ll break down what the data actually tells us, explain the difference between commercial and transactional search intent, and explore practical ways SEO and paid search teams can protect their visibility. Because while Google may be happy to do some of the explaining, your business still needs to give customers a reason to choose you.

Key Takeaways

• Commercial-intent AI Overviews increased by 71% over six months. Semrush measured this change between November 2025 and April 2026.
• Transactional-intent AI Overviews decreased by 5% during the same period, showing that the trend varied by search intent.
• Finance recorded approximately 231% growth in commercial-intent AI Overviews in the 600,000+ keyword study.
• AI Overviews appeared on 88% of Semrush’s 400 tracked commercial keywords in August 2026, up from 45.75% in September 2025.
• Searches containing commercial modifiers saw particularly high coverage. In the October study, “best X for Y” searches reached 96.12%, while review-related searches reached approximately 89%.
• AI Overview presence does not prove traffic loss. Businesses need their own search, analytics, and conversion data to determine the effect on performance.

What Are Google AI Overviews?

Google AI Overviews are AI-generated summaries that appear in Google Search results. They bring together information from sources across the web to help users understand a topic or evaluate available options.

Depending on the query, an AI Overview might explain a product’s features, summarize differences between competing services, or provide information about a purchasing decision.

For example, someone searching for “best CRM software for small businesses” may see a summary of relevant software options before reaching conventional organic results.

Someone searching for “CRM software pricing” may see a different results page, depending on the query and Google’s assessment of what will be useful.

AI Overviews are not the same as conventional organic listings. A website can rank well without being cited in an AI Overview, and a citation does not guarantee that a user will visit the cited page.

For businesses, this creates another aspect of search visibility to monitor: whether their content and brand appear in the AI-generated information users encounter during their research.

What Did Semrush’s 600,000+ Keyword Study Find?

Semrush published its commercial-search study on July 2, 2026. It analyzed more than 600,000 keywords from the Semrush US desktop database between November 2025 and April 2026.

The researchers grouped keywords by industry, search intent, and cost per click (CPC). They then examined how frequently AI Overviews appeared, how often they appeared alongside Google Ads, and how their prevalence varied across the different groups.

The principal findings were:

Metric	Reported result	Interpretation
Commercial-intent AI Overviews	71% increase over six months	AI Overviews appeared more frequently across commercial-intent search results.
Transactional-intent AI Overviews	5% decrease over six months	The trend differed between research-oriented and action-oriented searches.
Finance commercial-intent AI Overviews	Approximately 231% increase	Finance recorded the largest reported increase among the industries studied.
AI Overviews appearing alongside Google Ads	Roughly twice as often as a year earlier	AI-generated summaries and paid ads increasingly appeared on the same results pages.
Jobs and education keyword CPC	$5.02 with AI Overviews vs. $1.51 without	The average CPC differed substantially between these two keyword groups.
Finance keyword CPC	$4.84 with AI Overviews vs. $2.14 without	The study found a similar difference in finance.

Source: Semrush’s commercial search study.

The 71% figure describes relative growth in the prevalence of AI Overviews across commercial-intent search results in the study. It does not mean that 71% of all commercial searches triggered AI Overviews.

Likewise, the 5% decline in transactional-intent coverage is a relative decrease, not a five-percentage-point reduction.

These distinctions matter because growth rates, absolute prevalence, and changes in website traffic are different measurements.

What the Study Tells Us

The research provides evidence that AI Overviews are extending beyond informational searches into queries where users compare products, research services, and evaluate buying options.

It also shows that the trend is not uniform across every industry or search intent.

The study did not establish that AI Overviews caused a specific amount of organic traffic loss, nor did it demonstrate that their presence directly increases advertising costs.

Those questions require separate evidence.

Newer Data: AI Overviews Across Commercial Search Modifiers

Semrush published a second relevant study on October 21, 2026. Rather than analyzing more than 600,000 keywords, this research tracked a fixed panel of 400 US desktop commercial keywords across banking, ecommerce, and software from September 2025 through August 2026.

The researchers grouped the keywords into five commercial search modifiers:

• Alternatives: Searches such as “CRM alternatives.”
• Brand comparisons: Searches such as “HubSpot vs. Salesforce.”
• Best-for searches: Searches such as “best smartwatch for women.”
• Pricing and cost: Searches such as “antivirus software pricing.”
• Reviews: Searches such as “checking account reviews.”

The results showed a substantial increase in AI Overview coverage across all five groups.

Commercial search type	AI Overview coverage in August 2026
Best X for Y	96.12%
Reviews	Approximately 89%
Brand vs. brand	More than 86%
Alternatives	More than 82%
Price and cost	Approximately 82%
All 400 tracked keywords, weighted equally	88%
All tracked keywords, weighted by estimated search volume	97.08%

Source: Semrush’s October 2026 commercial-modifier study.

These figures show that AI Overviews were common across the commercial modifiers Semrush tracked.

However, the sample was limited to 400 US desktop keywords across three industries. The results should not be treated as universal prevalence rates for every commercial search, country, device, or industry.

The 97.08% figure also uses a different calculation from the 88% figure. It weights keywords by estimated search volume, giving more influence to queries with greater estimated demand.

The practical takeaway: SEO teams should check AI Overview presence for their own commercial keywords instead of relying on a single industry-wide percentage.

Commercial Intent vs. Transactional Intent: Why the Difference Matters

Search intent describes what a person wants to accomplish with a search.

Two queries about the same product or service may reflect different stages of the buying process. Someone researching available options may need different information from someone ready to book a service or make a purchase.

Semrush’s research shows why SEO teams should distinguish between these groups.

1. Informational Intent: Learning About a Topic

Informational searches occur when users want an explanation, answer, or general understanding.

Examples include:

• What causes water damage in a house?
• How does CRM software work?
• How long does mold remediation take?
• What causes high electricity bills?

These searches often call for explanations, instructions, definitions, and supporting information.

AI-generated summaries may answer some basic questions without requiring users to visit multiple websites. However, people may still need original research, detailed instructions, professional guidance, or information specific to their circumstances.

SEO recommendation: Publish accurate educational content that answers the main question clearly and provides additional information readers may need.

2. Commercial Intent: Comparing Options

Commercial searches occur when users research possible purchases or evaluate alternatives.

Examples include:

• Best CRM software for small businesses.
• Salesforce vs. HubSpot.
• Best water damage restoration company in Denver.
• Mold remediation companies vs. DIY removal.
• Best HVAC system for a large home.

These users may be closer to a buying decision than someone conducting general research, but they are not necessarily ready to purchase immediately.

The Semrush studies found that AI Overviews had become common across the commercial search modifiers they tracked, including comparison, review, alternative, and pricing queries.

SEO recommendation: Create content that helps people evaluate options. Useful formats include comparison pages, pricing guides, service evaluations, product reviews, and decision-support articles.

The content should explain meaningful differences between alternatives rather than simply repeat generic benefits.

3. Transactional Intent: Taking Action

Transactional searches indicate that users are more prepared to buy, book, contact a business, or complete another action.

Examples include:

• Buy a water heater online.
• Book an emergency plumber.
• Order replacement HVAC filters.
• Emergency water damage restoration in Denver.
• Get a mold remediation quote.

In Semrush’s November 2025–April 2026 study, transactional-intent AI Overview prevalence decreased by 5%, even as commercial-intent prevalence increased by 71%.

This does not mean transactional searches never trigger AI Overviews. The study found different trends for different intent categories.

SEO recommendation: Keep transactional pages focused on the action the user wants to take. Relevant service details, clear contact information, availability, pricing information where appropriate, and prominent calls to action can help users decide what to do next.

Comparing the Three Search Intent Types

Search intent	User’s goal	Example query	Recommended content
Informational	Understand a topic	What causes water damage?	Educational guides and explanations
Commercial	Compare options	Best water damage restoration company in Denver	Comparison pages and decision-support content
Transactional	Take action	Emergency water damage restoration Denver	Service pages, booking pages, and quote forms

A well-planned content strategy accounts for all three.

A business may need educational content to answer early questions, comparison content to support evaluation, and transactional pages to convert qualified visitors into leads or sales.

Why Are AI Overviews Appearing More Often on Commercial Searches?

Semrush measured an increase in commercial-intent AI Overviews, but its research did not establish one definitive cause.

Several characteristics of commercial searches help explain why AI-generated summaries may be useful during the evaluation stage.

1. Commercial Searches Often Require Comparisons

A user comparing two products may need to consider price, features, quality, compatibility, support, and long-term costs.

A query such as “HubSpot vs. Salesforce” asks for more than a definition. It calls for an evaluation of alternatives.

AI Overviews can summarize information about competing options and present sources for further reading.

For content creators, this creates an opportunity to publish detailed comparisons supported by specific facts.

A useful comparison should explain:

• What each option does.
• Where the options differ.
• Which users each option may suit.
• What limitations or trade-offs buyers should consider.
• Where readers can verify important details.

The objective is to help users make an informed decision, not simply repeat product descriptions.

2. Users Need Information Before They Commit

Commercial research often involves uncertainty.

Someone choosing a financial product, business software platform, or home restoration contractor may need to compare several factors before making a decision.

AI Overviews can summarize some of that information in a single results page.

Semrush found that finance experienced particularly strong growth in commercial-intent AI Overviews during its six-month study. This is a measured industry trend, but it does not prove that longer buying journeys caused the increase.

For SEO teams, the practical lesson is to identify the questions people ask while evaluating options and create content that answers them accurately.

3. Commercial Content Can Address Several Related Questions

Consider someone searching for “best HVAC system for a 2,500-square-foot home.”

The decision may depend on:

• Local climate.
• Insulation and building characteristics.
• Heating and cooling requirements.
• Equipment efficiency.
• Installation costs.
• Long-term operating expenses.

A useful page can explain these factors and help readers understand which variables affect their decision.

The same principle applies to business software, financial services, and home restoration.

Content that provides specific answers and explains relevant trade-offs gives readers more reason to consult the original source.

Which Industries Experienced the Biggest Increase?

Semrush found that commercial AI Overview growth differed across its 10 industry categories.

Finance recorded the largest increase, at approximately 231%. Computers and electronics followed at approximately 108%, while games increased by approximately 77%.

These figures represent changes in AI Overview prevalence within the study’s respective industry keyword groups. They do not indicate the absolute share of every search in each industry that triggered an AI Overview.

Finance: Approximately 231% Growth

Financial decisions can involve complex comparisons, eligibility requirements, fees, interest rates, and long-term consequences.

Businesses publishing financial content should prioritize accuracy, clear explanations, and reliable supporting evidence.

Useful content may include:

• Comparisons of financial products.
• Explanations of fees and eligibility.
• Guides to choosing an appropriate product.
• Current information about rates and terms.
• Clear explanations of limitations and risks.

Financial content requires particular care because inaccurate information can affect consequential decisions.

Computers and Electronics: Approximately 108% Growth

Technology buyers often compare products based on specifications, compatibility, performance, price, and intended use.

For example, someone choosing a laptop may compare processing power, memory, battery life, display quality, and warranty coverage.

Technology marketers can support those decisions with detailed comparison pages, clear specifications, compatibility information, and documented product testing.

Games: Approximately 77% Growth

Gaming searches can involve hardware, software, subscriptions, accessories, and comparisons between available options.

Useful content may explain system requirements, compatibility, pricing, product editions, and differences between alternatives.

The broader lesson is that content needs vary by industry. SEO teams should use research to identify relevant opportunities rather than assume that every sector behaves the same way.

AI Overviews and Google Ads Are Appearing Together More Often

Semrush reported that AI Overviews and Google Ads appeared together on search results pages roughly twice as often as they had a year earlier. Its research also described an earlier 394% increase in results pages containing both features toward the end of 2025. These figures refer to different comparisons and should not be treated as the same measurement.

This matters because AI-generated summaries and paid advertisements can compete for attention on the same results page.

A user researching a product might see an AI Overview explaining available options, advertisements from businesses offering those products, and conventional organic listings.

However, the coexistence of AI Overviews and ads does not establish that AI Overviews directly cause changes in advertising costs or conversions.

What PPC Teams Should Do

Review search terms by intent. Separate informational, commercial, and transactional queries when evaluating campaign performance.

Monitor actual search results. Check whether AI Overviews appear for important keywords and where paid advertisements appear in relation to them.

Measure conversion quality. Use qualified leads, sales, conversion rates, and revenue alongside impressions and clicks.

Review landing-page relevance. Ensure that advertisements lead to pages that answer the user’s question and support the next action.

Avoid automatic budget changes. AI Overview presence alone is not a sufficient reason to increase or reduce campaign spending.

The appropriate response is to measure how these search-result features relate to your audience and business outcomes.

Why AI Overviews and High-CPC Keywords Need Separate Analysis

Semrush compared AI Overview prevalence across keyword groups with different CPC levels.

The study found that AI Overviews appeared most often in the highest-CPC group in nearly every industry. It also found higher average CPCs for keywords triggering AI Overviews in several industries.

For example:

Industry	Average CPC with AI Overview	Average CPC without AI Overview
Jobs and education	$5.02	$1.51
Finance	$4.84	$2.14

These are averages from Semrush’s dataset, not universal advertising prices.

There were also exceptions. Keywords triggering AI Overviews had lower average CPCs in Internet and telecom, games, hobbies and leisure, food and drink, news, and sports.

Does a Higher CPC Mean AI Overviews Are Taking More Valuable Clicks?

Not necessarily.

The findings show an association between AI Overview presence and CPC patterns in several industries. They do not establish that AI Overviews caused higher CPCs or that advertisers lost a particular number of clicks.

CPC can vary with advertiser competition, keyword intent, industry economics, and the commercial value of a conversion.

For advertisers, the practical takeaway is to monitor AI Overview presence on commercially important keywords while continuing to measure cost per qualified lead, conversion rate, and return on ad spend.

Neither CPC nor AI Overview presence is sufficient to determine a keyword’s profitability.

What Should SEO Professionals Do About Commercial AI Overviews?

The research supports a more specific approach to content planning and performance measurement.

Rather than treating AI Overviews as a separate technical problem, SEO teams should examine how they affect visibility across different stages of the buying process.

1. Audit Commercial Keywords for AI Overview Presence

Start with keywords that have a direct connection to sales, leads, or product selection.

These may include:

• Best product or service searches.
• Brand comparison queries.
• Alternative searches.
• Pricing and cost searches.
• Product review searches.
• Service comparison queries.

Check whether AI Overviews appear for each keyword and record the date, location, device, and search context.

Search results can change over time, so avoid treating a single observation as a permanent classification.

For an initial audit, select 50–100 commercially relevant keywords and group them by intent and business value. This provides a baseline before expanding the analysis.

2. Review the Sources Cited in AI Overviews

When an AI Overview appears, inspect the sources it references.

Ask:

• Is the company’s website cited?
• Which competing businesses or publishers appear?
• Are comparison pages or product reviews cited?
• Does the answer use accurate pricing and service information?
• Are there factual errors or outdated details?
• Which relevant questions remain unanswered?

Record the cited URLs, not just the domain names. Different pages on the same website may serve different purposes.

This process can help identify content gaps and opportunities to improve the information available to users.

However, a citation does not guarantee referral traffic or conversions. Measure those outcomes separately wherever the available analytics allow it.

3. Create Content That Supports Evaluation

Commercial content should help people make informed choices.

For a software company, this might mean publishing a feature comparison, pricing breakdown, or guide to choosing a product for a particular business size.

For a restoration company, it might mean explaining the difference between water damage mitigation and full restoration, describing factors that affect project costs, or outlining what a professional inspection involves.

Useful commercial content often includes:

• Specific criteria for comparing options.
• Accurate prices or clearly explained cost factors.
• Product or service limitations.
• Relevant examples.
• Supporting evidence.
• Answers to common buyer questions.
• Clear next steps.

Avoid publishing comparison pages that repeat the same generic benefits for every product or service. Readers need meaningful differences to make a decision.

4. Strengthen Pages That Serve High-Value Queries

Review existing service, product, comparison, and pricing pages before creating new content.

Check whether each page answers the questions associated with its target search intent.

For example, a service page may need to explain the scope of work, service area, process, pricing factors, and circumstances in which a customer should seek professional help.

A comparison page may need clear evaluation criteria and an explanation of the limitations of each option.

Use descriptive headings, accurate language, logical internal links, and accessible page content.

Structured data can help search engines interpret supported information about a page, but it does not guarantee inclusion in an AI Overview. The same applies to adding FAQ sections or changing content formatting.

5. Track Organic Visibility and Business Outcomes Separately

AI Overview presence is a search-result observation, not a direct measure of business performance.

A useful reporting framework separates three groups of metrics.

Measurement area	Metrics	Purpose
Search visibility	Keyword rankings, AI Overview presence, cited URLs, brand mentions	Understand where the business appears in search results and AI-generated answers.
Website performance	Organic clicks, impressions, CTR, landing-page engagement	Measure search visibility and website behavior.
Business outcomes	Qualified leads, sales, conversion rate, revenue	Determine whether search activity contributes to business results.

Google Search Console can help monitor organic impressions, clicks, CTR, and average position. GA4 can help evaluate website engagement and conversions when tracking is configured correctly.

For AI Overview citations and brand mentions, maintain a separate observation log or use a suitable monitoring tool.

Do not assume every AI-generated answer can be tracked as a distinct traffic source in standard analytics. Attribution depends on how the visit is recorded and what the available reporting tools expose.

6. Measure Changes Over Time

A single snapshot can be misleading.

Repeat keyword checks on a consistent schedule, using the same market and device settings where possible.

Compare AI Overview prevalence with changes in organic clicks, CTR, rankings, and conversions.

When evaluating a traffic decline, also check for changes in rankings, search demand, seasonality, competing SERP features, and website performance.

This makes it easier to distinguish a possible AI Overview effect from other causes.

A Practical Example: Applying the Research to a Local Service Business

Consider a water damage restoration company serving Denver, Colorado.

The business wants to attract customers who need help after a burst pipe, flooding, or another water-related incident.

Instead of treating every water damage keyword equally, the SEO team could divide its keywords into three groups.

Search intent	Example keyword	Content type	Primary objective
Informational	What causes water damage in a house?	Educational blog	Answer questions and introduce the service.
Commercial	Best water damage restoration company in Denver	Comparison or decision-support content	Help users evaluate providers.
Transactional	Emergency water damage restoration Denver	Dedicated service page	Generate qualified calls and inquiries.

The team could check which searches trigger AI Overviews and whether the company or relevant third-party sources are cited.

For commercial queries, the business might publish content explaining how to compare restoration providers, what the cleanup process involves, which factors affect project costs, and what qualifications customers should look for.

For transactional queries, the service page should make the next step clear. Relevant details might include emergency availability, the service area, the restoration process, and contact information.

The team should also keep business information accurate across its website and Google Business Profile.

These actions do not guarantee AI Overview visibility. They help the business provide useful information for different search intents while maintaining a clear path from search to inquiry.

Performance should be measured through actual calls, qualified leads, conversions, and revenue—not AI Overview presence alone.

What These Studies Do Not Tell Us

The Semrush findings provide useful evidence of changing search-result patterns, but several limitations matter when applying the results to a specific website.

The Studies Focused on US Desktop Searches

Both studies used Semrush’s US desktop database. The 600,000+ keyword study covered 10 industries, while the October study focused on 400 commercial keywords across banking, ecommerce, and software.

Search results can differ by country, location, device, and time. A business targeting Canadian customers or users searching on mobile devices should not assume that the same AI Overview prevalence applies to its audience.

Growth Does Not Equal Total Prevalence

A 71% increase describes a relative change in the study’s commercial-intent AI Overview measure.

It does not mean that AI Overviews appeared on 71% of commercial searches. Relative growth and absolute prevalence are different measurements.

Similarly, a 5% decline in transactional AI Overviews does not establish that transactional searches rarely trigger AI Overviews.

The Studies Did Not Establish Traffic Loss

The research measured AI Overview presence and its relationship with other SERP features and keyword characteristics.

It did not establish how many clicks individual websites lost because of AI Overviews or whether any specific company experienced a decline in sales.

To investigate those questions, businesses need their own search and conversion data, supplemented by carefully designed comparisons where possible.

CPC Is Not Proof of Profitability

Higher average CPCs indicate that advertisers may compete more heavily for some keywords. They do not prove that those keywords produce more profitable customers or that AI Overview presence causes advertising costs to rise.

Advertisers should assess conversion quality and business outcomes alongside keyword costs.

The Results May Change

AI Overview coverage changes over time, and the studies describe defined periods. Their statistics should be treated as observations of an evolving search environment, not permanent forecasts.

Businesses should monitor their own target keywords rather than relying exclusively on broad industry averages.

Frequently Asked Questions

What percentage of commercial searches trigger Google AI Overviews?

In its July 2026 study, Semrush reported a 71% increase in commercial-intent AI Overviews over six months. This was relative growth, not the percentage of all commercial searches triggering an AI Overview.

In a separate October 2026 study, AI Overviews appeared on 88% of 400 tracked US desktop commercial keywords in August 2026, up from 45.75% in September 2025. When weighted by estimated search volume, coverage reached 97.08%. These results come from different samples and should not be combined into a single prevalence estimate.

Why are AI Overviews appearing more often for commercial keywords?

Commercial searches often involve comparing products, evaluating services, reviewing alternatives, or understanding prices. These are tasks for which an AI-generated summary may help users organize information before making a decision.

However, the studies measured search-result patterns and did not establish one definitive cause for the increase.

Are AI Overviews replacing organic search results?

AI Overviews can change the layout of a results page and provide answers before conventional organic listings. However, their presence does not mean organic results have disappeared or that users no longer visit websites.

Businesses should measure rankings, clicks, conversions, and AI Overview visibility separately to understand what is happening to their own search performance.

Do AI Overviews appear more often for commercial or transactional searches?

In Semrush’s November 2025–April 2026 study, AI Overviews appeared more often for commercial-intent keywords than for transactional-intent keywords across the industries analyzed. Commercial-intent prevalence increased by 71%, while transactional-intent prevalence decreased by 5% during the period.

These findings describe the study’s keyword dataset, not every search in every market.

How can a website improve its chances of being cited in an AI Overview?

There is no guaranteed method for earning an AI Overview citation.

Businesses can improve their underlying search presence by publishing accurate, useful content, answering relevant questions, explaining products and services clearly, maintaining accessible webpages, and supporting factual claims with reliable evidence.

They should also examine the sources Google cites for important queries and monitor changes over time. These practices can support search visibility, but none guarantees inclusion in an AI Overview.

Should businesses stop targeting keywords that trigger AI Overviews?

No. AI Overview presence alone is not a sufficient reason to abandon a keyword.

A commercially relevant query may still generate qualified visits, leads, or sales. Evaluate its search intent, business value, organic performance, and conversion potential before changing your strategy.

How can SEO teams measure the impact of AI Overviews?

Track AI Overview presence and citations for a defined set of keywords. Then compare those observations with organic clicks, impressions, CTR, rankings, and conversions over time.

Google Search Console and GA4 can help measure website performance, while a separate SERP observation log or AI visibility monitoring tool can track citations and brand mentions.

Use consistent measurement conditions and investigate other possible causes before attributing a traffic change to AI Overviews.

Final Thoughts

Semrush’s analysis of more than 600,000 keywords shows that AI Overviews became more common across commercial-intent search results between November 2025 and April 2026. Its separate October 2026 research found that AI Overviews were also common across the commercial search modifiers it tracked.

For SEO professionals, the findings reinforce the need to look beyond keyword rankings alone. Understanding search intent, monitoring AI-generated answers, and measuring business outcomes are useful parts of a modern search strategy.

The practical response is to review how people research, compare, and choose products or services. Build content that answers those questions accurately, make important business information easy to understand, and track whether search activity produces meaningful results.

AI Overview visibility is worth measuring, but it should support, not replace, sound SEO fundamentals and business-focused performance reporting.

Sources and Further Reading

1. Semrush — AI Overviews Are Expanding Across Commercial Intent Search.
2. Semrush — AI Overviews Have Nearly Doubled Across Five Commercial Search.
3. Semrush — Semrush AI Overviews Study: What 2025 SEO Data Tells Us About Google’s Search Shift.
4. Google — AI in Search: Driving More Queries and Higher Quality Clicks.