Semrush Reports Broader AI Overview Coverage for Commercial Searches

AI Overviews appeared for 88% of the commercial keywords tracked in a Semrush study, compared with 46% in the earlier measurement. The study examined searches using five commercial modifiers, including terms related to reviews, pricing and comparisons.

The change amounts to an increase of 42 percentage points across the tracked keywords. The two figures describe the presence of AI Overviews in that set; they do not indicate how often individual users saw an overview or interacted with one. They also should not be treated as a measure of all commercial searches.

Semrush’s study focuses on modifiers: words added to a search that help specify what the person wants to find. A review-related search, for example, has a different emphasis from a pricing or comparison search. Looking at these terms separately can help marketers organize their search analysis around the information a prospective buyer is seeking.

The summary identifies reviews, pricing and comparisons among the areas examined, but does not provide a separate coverage figure for each. The overall increase therefore should not be assumed to apply equally to every modifier or keyword. The summary also does not specify the other two modifiers, the size of the keyword set or the measurement period.

For marketing teams, the reported change is a reason to examine search results alongside existing keyword reports. A review could group relevant queries by modifier and record whether an AI Overview appears for each one. Comparing those observations with the pages a business maintains for reviews, pricing and comparisons can provide a clearer view of where further investigation is needed.

What this means for marketers

Check the commercial searches most relevant to your business rather than applying the study’s aggregate figure to every query. Document the results by search term and modifier, and revisit them over time. Use that review to assess whether your existing content addresses the questions associated with each type of search, while keeping the study’s limited published detail in mind.