AI Overviews do not appear at the same rate across all query types or industries. This heatmap from Adthena shows how AI Overview trigger rates vary across five verticals and ten query lengths, and the patterns reveal exactly where AI-generated responses are replacing the traditional click. Optimizing for those query types without accounting for AI Overview frequency means missing the placement that is most actively displacing organic clicks in your category.

Essential Statistics

• Finance queries with nine words trigger AI Overviews at a 78.8 percent rate, the highest sustained rate for that vertical across the query length range shown.
• Retail queries with nine and ten words both trigger AI Overviews at 84.2 percent, the highest rate in the dataset across all verticals and query lengths.
• Health queries show a more consistent AI Overview rate across query lengths, ranging from 35.6 percent at one word to 62.0 percent at ten words, with less dramatic scaling than Finance or Retail.
• Auto queries peak at 47.8 percent for eight-word queries before dropping back to 20.0 percent at ten words, showing a non-linear pattern distinct from other verticals.
• Travel has the lowest and most consistent AI Overview trigger rates across all query lengths, ranging from 5.0 percent at one word to a maximum of 27.7 percent at eight words.
• Across all verticals, AI Overview trigger rates generally increase with query length, with the steepest gains appearing in Finance and Retail for queries of seven words or more.

Key Takeaways

• Finance and Retail are the two verticals where long-tail query optimization for AI Overviews is most urgent. At 78.8 percent and 84.2 percent trigger rates respectively for longer queries, the majority of buyer searches in these verticals on complex queries now produce AI-generated responses rather than traditional organic results.
• Health shows a moderate and consistent pattern that warrants sustained AI Overview optimization across all query lengths rather than concentration at the long-tail end. The relatively stable rate from short to long queries means Health brands cannot defer AI Overview strategy until query length increases.
• Travel’s low trigger rates across all query lengths indicate that AI Overviews are less disruptive to organic click behavior in that vertical at present. Travel brands face less urgency around AI Overview optimization compared to Finance, Retail, and Health.
• Auto’s non-linear pattern, peaking at eight words and dropping at ten, suggests that very specific auto queries may revert to traditional search results, possibly because AI models treat highly specific vehicle or trim-level queries differently than general category queries.
• The guidance to optimize for five-plus-word intent queries is specifically validated by Finance and Retail data, where the steepest AI Overview rate increases occur at five words and above in both verticals.

Actionable Insights

• If you are in Finance or Retail, audit your keyword portfolio immediately for queries of seven words or more and identify which already trigger AI Overviews. At trigger rates above 70 percent for those query lengths, the majority of your long-tail search volume is now being intercepted by AI-generated responses.
• Build a content strategy specifically targeting five-plus-word queries in your vertical using the trigger rate data as a prioritization guide. Finance and Retail brands should concentrate new content development on query structures that match the seven-to-ten-word range.
• Use the Health vertical’s consistent trigger rates as an argument for immediate, broad AI Overview optimization rather than phased implementation. Because Health trigger rates are meaningful at every query length rather than concentrating at long-tail, Health brands that defer AI Overview strategy until they address long-tail queries will miss significant AI Overview exposure in the shorter query ranges.
• For Auto brands, focus AI Overview optimization on the six-to-eight-word query range where trigger rates peak at 24.7 to 35.5 percent, and de-prioritize the one-to-two-word and ten-word extremes where rates drop significantly. The non-linear pattern in Auto means a narrower query length focus produces more AI Overview coverage per unit of optimization effort than a broad approach.
• Present this heatmap data to leadership as evidence that AI Overview optimization is not optional in Finance and Retail specifically. Any SEO strategy that does not account for AI Overview presence is optimizing for a minority of the actual search experience your buyers are having.

“Finance queries at 78.8 percent AI Overview trigger rates and Retail at 84.2 percent for longer queries means those verticals have crossed a threshold. The majority of long-tail searches in those categories now produce an AI-generated response before the user ever sees a traditional result. For Finance and Retail brands, AI Overview optimization is an active gap in current search coverage.” – Neil Patel