AI Search Overviews Double for Commercial Terms

If you rely on Google to bring qualified buyers to your website, take note. A new study published by Semrush on 21 October 2026 shows that Google AI Overviews have nearly doubled across five commercial search modifiers. Commercial modifiers are words like best, cheap, review, or comparison that people type when they are ready to spend money.

For months, Google kept AI-generated summaries mostly limited to informational queries, such as recipes or historical dates. This latest shift confirms that AI search results are now expanding deep into high-intent commercial territory, where businesses make their sales.

Why are AI Overviews showing on commercial queries?

Google wants to answer complex purchase journeys directly on the results page. When a user searches for specific product comparisons or recommendations, AI Overviews now synthesise reviews, product specs, and pricing before the user ever sees a standard organic blue link.

This shift matters because commercial search queries are the lifeblood of most small business marketing budgets. If an AI summary answers the query and cites only two or three top sources, the traditional top organic positions lose significant visibility. Standard search optimisation alone is no longer enough. You need to understand how generative engines pick references, which I explain in my guide to SEO, GEO and AEO differences.

Paid campaigns are affected as well. As screen space shifts toward AI summaries, ad placements move, which directly impacts conversion efficiency across your Google Ads setup.

What it means for you

Do not panic, but do not ignore this shift either. You can take two sensible actions this week:

1. Review your top revenue-driving search terms in Google Search Console. Check manually whether AI Overviews now appear above your listings for those phrases.
2. Ensure your product and service pages directly answer commercial intent with clear specifications, transparent pricing, and structured comparison tables. Generative models favour concise, factual summaries that are easy to cite.