For two years the advice was simple: rank on page 1, earn the click. AI Overviews complicated that. Now a large share of informational searches show an AI-generated answer above the traditional results, and it changes the math on what a ranking is worth. This is what actually shifted for SaaS sites, and what to do about it.
What AI Overviews changed, specifically
An AI Overview is the generated summary Google places at the top of some results, pulling from several sources and citing them. When one appears, the classic blue links get pushed down, and the searcher often gets their answer without clicking anything.
Two measurable effects follow:
Top-position click-through rates have compressed. Industry CTR trackers have reported first-position clicks declining on queries where AI Overviews appear, because the Overview absorbs clicks that used to go to the #1 result. The traffic value of ranking #1 for a purely informational query is lower than it was.
Citations became a second prize. Being cited inside an AI Overview is now its own form of visibility, separate from ranking #1. A page cited in the Overview gets brand exposure and sometimes a click, even if it isn't the top blue link.
The key qualifier: this mostly hits informational queries — "what is," "how does," "why." Commercial and transactional queries ("best invoicing software," "time tracker for freelancers," "X vs Y") show AI Overviews far less often, because Google knows the searcher wants to compare and choose, not read a summary.
Why this is less scary for SaaS than for publishers
If your business is ad-supported content, AI Overviews are an existential threat, they answer the question your traffic was built on. For a SaaS product, the picture is different, and mostly better than the headlines suggest.
Your highest-value keywords were never the pure informational ones. The queries that bring signups are commercial and product-adjacent: someone comparing tools, looking for a solution to a specific job, or searching a feature by name. Those are exactly the queries where AI Overviews appear least and where a ranked, clickable result still wins.
So the searches most affected — "what is keyword difficulty," "how does SEO work" — were already your lowest-converting traffic. The searches that matter to a SaaS funnel are largely intact.
What still works (and matters more now)
Commercial-intent content. Comparison pages, "best tools for X," alternatives pages, and feature-specific landing pages. These convert, and they're the least exposed to AI Overviews. If you were going to invest anywhere, invest here — it's the safest ground in an AI-search world.
Page 2 quick wins. Nothing about AI Overviews changes the value of moving a commercial keyword from position 12 to position 5. If anything the relative gap between page 1 and page 2 has widened, because the space above the blue links is more crowded — being on page 2 is further from a click than ever. The tactics in our guide to moving page 2 keywords to page 1 apply unchanged.
Topical authority. Google draws AI Overview citations disproportionately from sites it already treats as authoritative on a topic, which is exactly what a well-built topic cluster produces. Clusters were a good idea before; they're now also your best route to being cited in Overviews, not just ranked below them.
How to get cited in an AI Overview
You can't game your way into an Overview, but the pages that get pulled into them share traits you can build for:
- A clear, direct answer near the top. The same clean, extractable 40–60 word answer that used to win featured snippets is what AI Overviews tend to quote. Answer the question first, elaborate after.
- Structured, scannable content. Headings that map to sub-questions, short definitional passages, and simple comparison tables give the model clean material to cite.
- Genuine topical depth. A single thin page rarely gets cited. A cluster of interlinked pages on the topic signals the authority Google's Overview leans on.
- Specificity and freshness. Concrete numbers, current dates, and named examples get cited over vague, generic prose, the same qualities that make content good for humans.
None of this is a new discipline. It's the same fundamentals, now with citation as an additional payoff alongside ranking. For the engine-by-engine version — how ChatGPT and Perplexity differ from Overviews — see how to get cited in ChatGPT and Perplexity, and our broader take on GEO vs SEO.
What to stop doing
Don't chase pure informational keywords for traffic. A "what is X" article targeting a high-volume informational term is the most AI-Overview-exposed content you can write, and it was already your weakest converter. Write those only as cluster support for a commercial hub, not as standalone traffic plays.
Don't panic-optimize for the Overview at the expense of the click. The Overview is volatile and Google controls it entirely. A clickable #3 ranking on a commercial query is worth more than a citation on an informational one. Optimize for the searches that bring customers first; treat citations as a bonus.
The honest summary
AI Overviews lowered the value of informational traffic and raised the importance of two things SaaS SEO already favored: commercial-intent content and topical authority. The keywords that were your lowest converters got hit hardest; the ones that drive signups are largely untouched.
It also means the underlying data on click-through rates is shifting — older CTR benchmarks were measured before Overviews compressed the top of the page, so read any pre-2025 study as a floor on the page-1-vs-page-2 gap, not a fixed number. We keep that in mind in our own breakdown of the quick-wins data.
The move isn't to fear AI search. It's to double down on the commercial, product-adjacent keywords that were always the point, the gaps where someone searching has a real reason to use your product. That's the content AI Overviews touch least and the traffic that actually converts.