The shift happened faster than anyone expected
Google launched AI Overviews (formerly SGE) in May 2024. By early 2025 they appeared on roughly 30% of searches. By mid-2025: over 50%. By early 2026, AI-generated answers appear at the top of more than half of all Google searches - above the organic results that agencies have spent years optimizing.
The effect on organic traffic has been severe. Studies from multiple SEO research firms have shown click-through rates dropping 55–65% for queries where an AI Overview appears. Google gives the user a complete answer; the user doesn't need to click anywhere.
This isn't a temporary experiment. It's the new structure of Google search. And if you're running SEO for clients and not addressing it directly, you're going to have a very uncomfortable conversation about why organic traffic is declining even as rankings stay the same.
The SEO agency problem
A client ranks #1 for their main keyword. They've ranked #1 for two years. Traffic dropped 40% in the last six months. Their rankings haven't moved. AI Overviews appeared for that query, and now most users never scroll past the generated answer. The agency that can't explain this will lose the client.
Understanding how AI Overviews work
Google's AI Overviews pull from multiple sources to generate a direct answer. Unlike a featured snippet (which attributes a single source prominently), AI Overviews synthesize from several sources and may or may not link to them. The sources cited in AI Overviews are not necessarily the top organic results.
For your clients, this means there are now two parallel competitions happening on Google:
- Traditional SEO competition - ranking in positions 1–10 in organic results below the AI answer
- AI Overview visibility - whether the brand is cited, mentioned, or the source for the AI answer at the top of the page
Most agencies are exclusively focused on the first competition. The second one - which appears above everything else on the page - is largely untracked.
The categories most affected
AI Overviews appear most heavily on informational and commercial investigation queries - the research phase of the buying process. Specific categories hit hardest include:
Home services
"best plumber in [city]"
Healthcare / medical
"symptoms of X", "best specialist for Y"
Financial services
"best mortgage rates", "how to refinance"
SaaS / software
"best [tool type] for [use case]"
Legal services
"do I need a lawyer for X"
Education
"how to learn X", "best course for Y"
If your clients operate in any of these categories, they're almost certainly losing clicks to AI Overviews on at least some of their target keywords.
What determines whether a brand appears in AI Overviews?
Google's AI Overview sources tend to favor:
- High E-E-A-T signals - expertise, experience, authoritativeness, and trustworthiness. Author credentials, publication track record, external references to the brand or author.
- Strong topical coverage - content that comprehensively addresses the topic, not just a keyword-stuffed page targeting one phrase.
- Third-party citation - being mentioned by authoritative sites in your category signals that you're a legitimate answer to the question.
- Structured data and entity clarity - Schema markup, clear entity definitions, and consistent brand information across the web.
- Current content - AI Overviews tend to pull from recently updated, relevant pages. Old, thin pages rarely appear as sources.
Notice that this list overlaps almost entirely with what determines ChatGPT and Perplexity visibility. The underlying signals - authority, citation, topical expertise, entity clarity - are consistent across AI systems. This is why agencies that focus on AI visibility generally see improvements across multiple AI platforms, not just one.
The strategic response for agencies
There are three responses agencies are taking to the AI Overview impact on client traffic:
1. Track and report AI visibility as a new KPI
The first step is measuring it. If a client's organic traffic dropped, the question is: did AI Overviews appear for their target queries, and does the client appear in those overviews? Without this data, you can't explain the traffic change or justify the work to recover it. Tools like ArtificialPulse track AI visibility across Google AIO, ChatGPT, and Perplexity daily - so you have the data before clients ask.
2. Build authority content that AI systems cite
The agencies winning in AI-driven search are creating "answer-worthy" content - comprehensive guides, credentialed expert perspectives, and content that directly addresses the questions AI users ask. The goal isn't just to rank; it's to be the source AI systems pull from when answering those questions.
3. Diversify client traffic channels
The agencies with the most resilient client portfolios are reducing over-dependence on Google organic for any single client. Email, YouTube, podcast presence, community building - channels where AI Overviews can't intercept the click. This isn't a reason to abandon SEO, but it's a reason to expand the scope of what "visibility" means.
The reporting opportunity
Here's the practical upside: AI visibility is a new metric that clients don't yet fully understand, which means it's an opportunity for agencies to position themselves as experts. The agency that shows up to a client meeting with a report showing AI visibility trend data, competitor comparisons, and specific optimization recommendations will look more sophisticated than any other agency in the room.
Monthly AI visibility reporting - showing Google AIO presence alongside ChatGPT and Perplexity visibility - is currently a $300–800/month add-on service at forward-thinking agencies. The data is there. The question is whether your agency is capturing it.
Track AI Overview visibility across all your clients
ArtificialPulse monitors ChatGPT, Perplexity, and Google AI Overviews daily. Generates white-label reports with your agency branding.