Google's AI Overviews have gone from an experimental feature to a default part of the results page for a large share of informational searches. For publishers and SEOs watching their analytics, the question isn't whether AI Overviews affect traffic. It's which pages are affected, and by how much.

The pattern that's emerging

AI Overviews tend to appear most on queries that have a clean, factual answer: definitions, "how many/how much" questions, simple comparisons, and step-based how-to queries. These are exactly the query types where a searcher previously had to click through to get the answer, and now often doesn't need to.

Queries that stay largely unaffected share a different profile: anything transactional ("buy," "price," "near me"), anything requiring judgment or personal context, and anything where the searcher is comparing options rather than looking for a single fact. Google's own guidance has consistently said AI Overviews are meant to handle queries with a factual answer, not replace the exploratory or transactional search experience, and the traffic data lines up with that.

What this means by content type

Reference and definition content ("what is X") is seeing the sharpest click-through declines. If the entire value of a page is a single fact or definition, an AI Overview can often satisfy that need completely.

Comparison and "best X" content is more mixed. AI Overviews will summarize options, but users comparing products or services still tend to click through to verify details, read reviews, or check current pricing, which AI summaries are often deliberately vague about.

Long-form guides and tutorials are holding up comparatively well. An AI Overview can summarize the steps, but a searcher actually trying to complete a multi-step process still needs the full page, especially when troubleshooting or edge cases come up.

News and timely content sees less AI Overview coverage in general, since Google treats freshness and source diversity differently for time-sensitive queries.

What publishers are doing about it

The sites adapting fastest are shifting investment away from pure reference content and toward formats an AI summary can't fully replace: original research, tool comparisons with hands-on testing, and content that requires ongoing interaction (calculators, templates, communities). A few publishers have also started restructuring reference content specifically to answer the immediate question fast, then use the reduced click-through as a qualification filter. The remaining clicks are more likely to be users who need real depth, not just the headline fact.

The uncomfortable part

There's no SEO tactic that reverses this shift for genuinely single-fact queries. If the honest, complete answer to a search fits in two sentences, an AI summary is going to keep winning that exchange more often than not. The realistic response isn't chasing a workaround. It's auditing your content mix and putting the deeper investment into the page types AI Overviews consistently don't replace.