Google AI Overviews Shows on 88% of Buying Searches: What to Know for AEO

You’ve probably noticed that Google now shows an AI Overview on 88% of the searches people run right before they buy. In September 2025, that number was under half, according to Semrush data. So if your pricing page, comparison page, or review roundup used to win that click, an AI answer now sits on top of it. This answer decides which brands the buyer hears about first.

After I read the Semrush study on commercial modifiers, my take is blunt. On a buying search, the brand the AI Overview cites gets the first shot at the sale, and ranking number one below it matters less every month.

Below, I’ll walk through what the data actually says, why it changes how you should judge SEO, and the five-step plan my team uses to get cited on money keywords.

TL;DR

• AI Overviews now cover most buying searches. Semrush tracked 400 US commercial keywords and found AI Overviews on 88% of them in August 2026, up from 45.75% in September 2025.
• Clicks drop when a summary appears. Pew Research found people clicked a regular result on 8% of visits with an AI summary and 15% without one.
• Citations are the new top spot. On pricing, comparison, alternative, and review searches, the cited brands shape the shortlist before anyone scrolls.
• You can plan for this. Pick 20 money keywords, see who gets cited, publish quotable pages, and track citations next to clicks.

What Are Google AI Overviews on Buying Searches?

Google AI Overviews are the AI-generated summaries Google places above the regular results for many searches. Each one answers the query in a few short paragraphs and links to a handful of sources, which Google describes in its guide to AI features and your website.

A buying search is a query with a decision baked in. Think “hubspot vs salesforce,” “best CRM for small teams,” “project management software pricing,” or “[brand] alternatives.” People type these when they already have a budget and want to narrow the list.

Until recently, AI Overviews mostly showed up on informational questions. That’s why plenty of marketing leaders treated them as a top-of-funnel problem. The new data says the summaries have moved straight into the part of the funnel where revenue gets decided, which is why I wanted to write about it right away.

Before we get to the plan, it helps to see exactly how fast the shift happened.

AI Overview Statistics for Commercial Searches

Semrush built a fixed panel of 400 commercial keywords across banking, software, and ecommerce, then checked every month from September 2025 through August 2026 whether each one triggered an AI Overview. Coverage went from 45.75% to 88%. Weighted by search volume, it hit 97.08%, which means the keywords without a summary carry very little of the demand.

The jump wasn’t even across search types. Here’s the before and after for each modifier group in the study:

• Reviews went from 30% to 89%, the largest jump in the panel.
• Best X for Y went from 43% to 96%, the highest coverage of any group.
• Price and cost went from 44% to 82%.
• Alternatives went from 48% to 83%.
• Brand vs brand went from 63% to 87%.

Two caveats matter. The study covers US desktop results only, and it measures whether a summary appeared, with no click or conversion data. That’s where a second study comes in.

Why AI Overviews Change Who Gets the Click

Pew Research tracked the browsing of 900 US adults in March 2025. When a Google results page had an AI summary, people clicked a traditional result on 8% of visits. Without one, they clicked on 15%. They also clicked a link inside the summary itself on just 1% of visits.

Put those two studies together and the math gets uncomfortable fast. Nearly every buying search now carries a summary, and summaries cut the clicks to regular results roughly in half. For a CMO who owns pipeline from search, that’s a direct hit to the channel’s output, even if rankings look stable in your reports.

Here’s how I read it. The summary is now the first sales conversation for your category, and the sources it cites are the brands in the room. If you aren’t one of them, you’re competing for a much smaller pool of clicks from people who scrolled past the answer.

So what do you actually do about it? This is the plan I’d run.

How to Get Cited in AI Overviews for Money Keywords

This plan is built for commercial queries specifically. If you want the broader playbook, my team’s Google AI Overviews optimization guide covers the fundamentals, and the AI Overview query capture playbook helps you decide which prompts deserve an owned page.

Step 1: Pull Your 20 Money Keywords

Start with the 20 searches closest to revenue in your category. These are usually pricing, comparison, alternatives, “best for” queries, and reviews for your product and your top competitors. Pull them from paid search terms, sales call notes, and Search Console, then rank them by deal value instead of raw volume.

Speed it up with AI: Export your Search Console queries and paid search terms to CSV, then paste them into Claude or ChatGPT with a batch of sales call notes. Ask it to tag each query as pricing, comparison, alternatives, “best for,” or review, and to flag any that name your product or a competitor. You still rank the final 20 by deal value, ideally with someone from sales in the room.

Step 2: See Which Ones Trigger an AI Overview and Who Gets Cited

Check each keyword for a summary and write down every cited source. You’ll usually find a mix of competitors, review sites, Reddit threads, and YouTube videos. That list is your real competitive set for the buying search, and it often looks very different from the brands you track in a standard rank report.

Speed it up with AI: Many rank trackers now flag which keywords show an AI Overview, so export that report instead of searching one by one. Paste the cited URLs into Claude or ChatGPT and ask it to group each source by type (competitor, review site, Reddit, or YouTube) and count how often each domain appears. Spot-check a few keywords live, since summaries change from one search to the next.

Step 3: Publish Pages the AI Can Quote

AI summaries lean on pages with clear, specific answers. For buying searches, that means honest comparison pages, transparent pricing pages, and real review content with named sources. Each page should answer the query in the first few sentences and back it up with numbers a summary can lift. My team covers the structure in 13 ways to rank in AI Overviews.

Pro-Tip
Write one plain sentence near the top of each comparison page that states who each option is best for. Summaries love a clean “best for” line, and buyers do too.

That single line often does more for citations than another thousand words of feature copy.

Speed it up with AI: Give Claude or ChatGPT the query, your real pricing and product facts, and the pages cited in Step 2. Ask for a two-sentence direct answer, a “best for” line, and a list of questions the cited pages cover that yours skip. Treat the output as a first draft. Someone on your team should verify every number and claim before anything goes live.

Step 4: Earn Mentions Off Your Own Site

Summaries cite third-party sources constantly, so your own pages are only half the job. Reviews, community threads, partner pages, and press mentions all feed the same answers. My team treats this as digital PR for AI citations, with a target list built from the sources found in Step 2.

Speed it up with AI: Feed the Step 2 source list to an AI assistant and have it sort each site into an outreach type, like a review profile to claim, a partner page to request, or a journalist to pitch. It can also write a first-pass pitch for each one. Keep the sending and any community replies in human hands, since those relationships are the whole point.

Step 5: Track Citations Next to Clicks

Add a citation column to your SEO report for the 20 money keywords. Each month, record whether you’re cited, who else is cited, and what clicks and conversions came in. An AI visibility audit is a good way to set the baseline before you start publishing.

Speed it up with AI: Set up a short Python script with the Search Console API to pull monthly clicks for your 20 money keywords into the same sheet as your citation column. Rerun the Step 2 check on a schedule, then ask Claude to summarize what changed, like citations won, citations lost, and new sources showing up. You still decide what the shifts mean and where the team focuses next.

Once those five steps are running, the next question is how to judge whether the work is paying off.

What to Measure When AI Overviews Cover Your Category

Traffic alone will undersell this work. When a summary answers the query, some buyers never click, yet they still remember the brands it named. That’s why I push teams to track three numbers side by side for each money keyword.

The first is citation share, meaning how often your brand appears in the summary across your 20 keywords. The second is click-through rate from Search Console, which tells you how much traffic still flows below the summary. The third is pipeline from search, measured in your CRM, so the conversation stays tied to revenue.

What You Should Do
Put citation share, click-through rate, and search-sourced pipeline on one slide for your 20 money keywords, and review it monthly with whoever owns the SEO budget.

This view also helps when results look mixed. If citations rise while clicks dip, you’re likely winning the summary and losing some low-intent visits, which is usually a fine trade.

It also helps to know which pages are most exposed, so you can fix those first.

Which Pages Are Most at Risk From AI Overviews

Based on the Semrush numbers, review and “best for” content took the biggest hit. Those pages used to collect easy clicks from buyers comparing options, and now a summary often lists the options for them. If your site leans on roundup posts, those are the first pages to refresh with sharper, more quotable answers.

Pricing and alternatives pages saw lower coverage, though still above 80%. These pages carry high intent, so even a small loss of clicks costs real money. A clear pricing table, a short “who this is for” line, and an honest comparison to the top alternative give a summary something concrete to cite.

Brand vs brand searches had the highest starting coverage, which suggests Google has trusted summaries here the longest. If a competitor comparison drives deals for you, check the summary today and see whose framing it uses. Google’s links in AI Mode got bigger recently, which makes those cited slots worth even more.

Turn AI Overviews Into a Pipeline Advantage

AI Overviews on buying searches are here to stay, and the brands that adapt early will own the first impression in their category. Start with your 20 money keywords, find out who gets cited, and publish pages a summary would be proud to quote.

If you’d like help building this into your search program, my team at Single Grain runs AEO services and SEO services built around citations and pipeline. Reach out to Single Grain and we’ll look at your money keywords together.

Frequently Asked Questions About Google AI Overviews on Buying Searches

• How often do Google AI Overviews appear on commercial searches?

  In the Semrush panel of 400 US commercial keywords, AI Overviews appeared on 88% of them in August 2026, up from 45.75% in September 2025. Weighted by search volume, coverage reached 97.08%.

• Do AI Overviews reduce clicks to websites?

  Pew Research found people clicked a traditional search result on 8% of visits when an AI summary appeared, compared with 15% when it didn’t. Clicks on links inside the summary happened on just 1% of visits.

• Which buying searches show AI Overviews most often?

  In the Semrush study, best X for Y searches reached 96% coverage, followed by reviews at 89%, brand vs brand at 87%, alternatives at 83%, and price or cost searches at 82%.

• How do I get my brand cited in AI Overviews?

  Start with your 20 money keywords, record who gets cited today, and publish clear comparison, pricing, and review pages a summary can quote. My team’s AIO optimization guide covers the page structure.

• Should I still care about rankings if AI Overviews answer the query?

  Yes. Rankings still drive the clicks below the summary, and Google often cites pages it already trusts. Track rankings, citation share, and search-sourced pipeline together.

If you were unable to find the answer you’ve been looking for, do not hesitate to get in touch and ask us directly.