Are AI Overviews Already Answering Your Buyers’ Comparison Questions?

What the study actually measured.

Semrush tracked 400 commercial keywords across banking, software and ecommerce using US desktop data from September 2025 through August 2026. Its main metric is the share of tracked keywords showing an AI Overview, not a share of every Google search.

The final figures were 96.12% for best-X-for-Y, 89.04% for reviews, 86.59% for brand comparisons, 82.81% for alternatives and 82.05% for price/cost. These observations describe that panel. They do not establish lost clicks, conversions or the probability that your brand will be named.

Choose a comparison that leads to a real decision.

Take one offer and list the choices a customer must resolve: which option suits their situation, what is included, what costs extra and which evidence matters. Start with questions heard in sales conversations, not variations created only to fill a publishing calendar.

A fictional team comparing booking software might ask about a small hotel, multiple properties and integration requirements. Those are different buying contexts. Save the wording and intended market so a later check has something meaningful to compare against.

Inspect the answer and the pages behind it.

Record the generated summary, date, named options and visible citations. Open the sources and check which passage supports each important claim. A source used for a price does not necessarily support a recommendation about suitability.

Use the visual example below to classify a missing answer. If a comparison depends on a feature you genuinely provide, document its scope. If another supplier serves a different requirement better, do not manufacture a capability to enter that answer.

Improve one useful commercial page.

Choose the existing page that should answer the question. Give it an explicit audience, offer scope, relevant limitations and a next step. Link to evidence a buyer can inspect. Keep comparisons current and identify the basis for any conclusion.

Google’s AI features guidance retains ordinary search foundations. A special label or a long FAQ does not substitute for an accessible, useful page. Publish the answer for the buyer first.

Keep answer observations separate from business outcomes.

Repeat a defined panel of questions over time and preserve unsuccessful checks. Track a mention, linked citation and factual error independently. If the search interface or observation conditions change, note it rather than blending incompatible results.

Website visits and qualified enquiries belong in a separate attribution record. The study gives a reason to investigate a commercial journey; it does not prove a content change will produce revenue. Continue with our attribution method.

Sources and editorial scope

This is Arrow AI editorial guidance. Diagrams and examples illustrate a method, not client results or platform ranking factors. Clear information and source access do not guarantee a recommendation. Platform-specific facts are attributed to the sources below.

• Semrush, October 21, 2026: Commercial modifiers study
• Google Search Central: AI features and your website