Around this time last year, a lot of marketing teams were staring at the same Google Search Console chart. Impressions are steady. Rankings mostly stable. Clicks quietly sliding down. Then Google rolled out AI Overviews more broadly, and suddenly the theory had a name. The search engine was answering the question itself. After working through this shift with B2B SaaS and ecommerce clients over the last 12 months, some clear patterns have emerged about what AI Overviews actually change and what they don’t.
The short version: search isn’t disappearing. But the mechanics of earning traffic are changing faster than most SEO playbooks account for.
The click curve is getting steeper
One of the first things we noticed was how sharply traffic concentrates around the top organic positions when an AI Overview appears.
Before AI Overviews, the distribution of clicks across positions one through five was relatively predictable. Position one might capture 30 to 35 percent of clicks. Position three still received meaningful traffic. By position six you were mostly fighting for scraps.
With AI Overviews present, that curve compresses.
In several B2B software SERPs we analyzed between May 2024 and March 2025, the number one organic result often received 50 percent or more of remaining clicks once the AI block appeared. Positions two through four still mattered, but their share dropped noticeably.
Which means ranking “somewhere on page one” is no longer the goal. If your content cannot realistically compete for the top two spots, it may not generate meaningful traffic at all.
That sounds harsh, but it clarifies priorities. Instead of publishing twenty posts hoping a few rank in the middle of page one, high performing teams now focus on fewer topics where they can credibly win the query.
Informational queries are the most disrupted
The biggest traffic declines we’ve seen are clustered around simple informational searches.
Think queries like:
- “What is revenue attribution?”
- “How does marketing mix modeling work?”
- “Average ecommerce conversion rate”
These are the types of questions AI Overviews can summarize instantly. When the answer is definitional or straightforward, Google can synthesize it without forcing a click.
But the impact is uneven. Not all informational queries are collapsing.
The ones still driving traffic tend to share three characteristics:
- The question requires depth or nuance
- The answer depends on context or examples
- The user likely wants a framework, not a definition
For example, “What is customer acquisition cost?” has become a low click query. But “How to reduce CAC in B2B SaaS” still drives traffic because the user expects tactics and examples.
In other words, AI Overviews replace dictionary content, not strategic content.
Authority signals matter more than ever
Another pattern we’ve seen across AI citations is that domain authority and brand recognition still carry enormous weight.
When Google composes an AI Overview, it rarely pulls from unknown domains. The sources cited most often look familiar:
- HubSpot
- Salesforce
- Shopify
- Gartner
- McKinsey
This doesn’t mean smaller brands cannot appear. We’ve seen niche SaaS companies earn citations when they publish genuinely original analysis.
But the bar is higher. Thin blog posts written to chase keywords rarely surface in AI summaries.
The pages that do get cited usually contain one of three things:
- Proprietary data or benchmarks
- Clear frameworks or models
- Deep explanations written by subject matter experts
Which reinforces a shift that’s been happening for years. SEO content is moving from volume to authority.
Zero click searches are rising, but not everywhere
Yes, zero click searches are increasing. But the impact varies dramatically by query category.
For example, in a cohort of ecommerce related queries we tracked for a retail client, product comparison searches still drove strong traffic. Queries like “best noise canceling headphones for travel” continued to generate clicks because users wanted reviews, images and opinions.
The AI Overview might summarize options, but people still wanted to explore the recommendations.
Contrast that with definitions or quick facts. Those queries are much more likely to end without a click.
A simple mental model helps here:
| Query type | AI Overview impact |
| Definitions | High click loss |
| Strategic advice | Moderate |
| Product research | Low to moderate |
If your SEO strategy relies heavily on basic definitions, traffic will likely decline. If your content helps people make decisions, the impact is smaller.
Content structure now influences AI visibility
One of the more surprising insights from the past year is how often content formatting affects AI citation likelihood.
Pages that appear in AI Overviews tend to be structured clearly for extraction. Google’s models are essentially scanning for digestible answers.
We have seen higher citation frequency when pages include:
- Clear question based subheadings
- Concise answer paragraphs near the top
- Tables summarizing frameworks or comparisons
- Data points supported by sources
For example, a SaaS pricing guide we published for a client in late 2024 started appearing in AI Overviews after we added a simple benchmark table comparing pricing models across competitors.
The information already existed in the article. But the table made it easier for Google’s systems to parse.
This is less about gaming the algorithm and more about making your thinking legible.
Brand search is quietly becoming more valuable
One unexpected outcome of AI Overviews is the growing importance of brand driven search.
When users encounter your company cited in an AI summary, many will search the brand directly rather than click the cited link. In analytics this shows up as an increase in branded search traffic rather than organic clicks from the original query.
We’ve seen this pattern with several clients whose brands appeared repeatedly in AI summaries. Over a six month window, branded searches increased between 18 percent and 32 percent, even while non branded traffic plateaued.
Which means traditional SEO reporting may understate the real impact of visibility in AI answers.
In other words, AI citations function partly like micro brand impressions.
The practical shift in SEO strategy
After a year of watching this unfold across multiple industries, the teams adapting fastest tend to follow a slightly different playbook than the old volume driven SEO model.
Instead of publishing dozens of keyword targeted posts each quarter, they focus on a smaller set of topics where they can provide real depth.
Practically, that means prioritizing:
- Original research and benchmarks
- Detailed frameworks practitioners can apply
- Strong brand positioning in niche topics
- Content written by experts, not anonymous generalists
This approach aligns with something experienced marketers already suspected. Search engines increasingly reward useful thinking, not just optimized text.
AI Overviews simply accelerate that trend.
The bigger picture
The anxiety around AI in search is understandable. Organic traffic has been one of the most predictable acquisition channels for the last decade, and any change to that system feels threatening.
But twelve months in, the evidence suggests something more nuanced.
Search is still a massive discovery channel. People still need to evaluate products, compare strategies and understand complex ideas. What’s changing is how easily Google can answer simple questions.
That forces marketers to do something we should have been doing all along: create content worth leaving the search results to read.
And honestly, that’s probably healthier for the ecosystem.
