Estimated reading time: 5 minutes

The shift we’ve all been waiting for

For months, marketers have been asking the same question: Will AI Overviews replace SEO? Now we have clearer data to work with. A recent study by Authoritas, highlighted by Search Engine Journal, shows that 54% of Google’s AI Overview citations overlap with traditional organic search results.

That’s a big number. And it doesn’t just affect rankings, it reshapes how healthcare organizations, manufacturers, higher ed institutions, and B2B companies need to think about their digital presence.

The real question isn’t “AI vs SEO.” It’s: how do you build strategies that work in a landscape where AI and organic search increasingly overlap?

Related: GEO vs AEO vs SEO: What’s Actually Working in AI Search Right Now

What “overlap” actually means

In practical terms, overlap measures how often the websites cited in an AI Overview are the same ones showing up on page one of Google.

• Overall average: 54% overlap between AI and organic results
• Healthcare: highest overlap, at 75.3%
• Education: mid-range overlap
• E-commerce: lowest, at just 16.7%

(Source: Search Engine Journal reporting on Authoritas study, Sept. 2025)

This tells us two things right away:

1. AI Overviews don’t pull from a completely separate index. Traditional SEO signals still carry weight.
2. Industry matters, and the way you optimize for AI search depends on the vertical you’re in.

Related: Google Says You Don’t Need AEO or GEO. What it Means for Marketers.

Why vertical differences matter

In healthcare, three out of four AI Overview citations already match organic results. That’s good news for providers and healthcare systems investing in SEO. High overlap means the content you optimize for traditional search is likely to surface in AI as well.

In e-commerce, the picture is completely different. With only 16.7% overlap, AI Overviews are pulling heavily from alternative sources (product feeds, structured data, and contextual knowledge graphs). For B2B companies with complex product catalogs, this means AI Overviews may cite competitors, marketplaces, or third-party sites before your own.

For education and higher ed, overlap sits somewhere in the middle. Colleges and universities that publish authoritative, structured content (admissions FAQs, program details, research) may find their pages included, but visibility depends heavily on how well content aligns with AI’s question-answer format.

And for manufacturing and B2B, the challenge is balancing depth and clarity. AI tends to prioritize clear, structured answers. Dense spec sheets or jargon-heavy whitepapers often get overlooked unless supported by explanatory content designed for broader context.

Related: What Are Zero-Click Results and What Can You Do About Them?

What this means for SEO in 2025

The overlap data doesn’t mean SEO is becoming less relevant. In fact, it shows the opposite: strong SEO is still the foundation of AI visibility. But the way you approach SEO has to evolve.

Key implications:

• Dual-purpose optimization is essential. Your content should serve both human readers and AI systems scanning for concise, authoritative answers.
• Overlap doesn’t guarantee traffic. Just because your site appears in both AI and organic results doesn’t mean users will click through. You need to win attention with clarity, authority, and differentiated value.
• Vertical benchmarks matter. Monitor how much overlap your industry sees. If you’re in healthcare, SEO best practices may carry you further. If you’re in e-commerce, you’ll need more structured and product-driven tactics.

Related: Navigating AI-Generated Snippets: How to Keep Control of Your Brand Voice

So, what do we do with this information?

Tactical roadmap for complex industries

Here’s how to put this research into practice across complex industries:

1. Audit your overlap potential

• Search your top 20 queries.
• Compare AI Overview citations with your organic rankings.
• Identify gaps where AI Overviews cite competitors or third-party sites.

2. Create dual-purpose content

• Healthcare: FAQs, patient education, symptom explainers written in plain language.
• B2B/manufacturing: Pages that break down technical processes in ways AI can understand (step-by-step guides, glossary-style explanations, and structured Q&A).
• Higher ed: Admissions checklists, program comparisons, and quick facts that map to common queries.

3. Optimize for precision
AI Overviews reward clarity. Use direct, evidence-backed statements.

• Include key stats, definitions, and context right at the top of the page.
• Structure content with H2/H3 headings that echo natural language questions.

Related: What Makes a Page AI-Optimized in 2025? A Tactical Breakdown

4. Make overlap a KPI
Even if you can’t control Google’s algorithms, tracking how often your pages appear in both organic and AI is a strong measure of visibility strength.

5. Keep testing and pivoting
Google is still experimenting. Today’s 54% may look very different six months from now. The safest play is an agile SEO strategy that treats AI visibility as an extension, not a replacement, of organic search.

Related: Practical SEO Workflow for B2B and Regulated Industries

Caveats worth keeping in mind

• Overlap doesn’t equal dominance. Even if you’re cited in both AI and organic, a competitor might capture clicks with a more engaging snippet or a better contextual fit.
• Traffic patterns are shifting. Often, an AI Overview can satisfy a query without the user ever clicking through. Expect some “zero-click” behavior and measure brand visibility alongside traffic.
• This is a moving target. Google continues to refine AI Overviews. Benchmarks like 54% are useful snapshots, but the trendline matters more than the one-time number.

Related: How to Win Brand Visibility in AI Search: GEO and Beyond

The bottom line

The “AI vs SEO” debate is already outdated. The real story is convergence. With more than half of AI Overview citations overlapping with organic results, classic SEO signals remain central to visibility, but the content format and delivery have to evolve.

For healthcare, higher ed, manufacturing, and B2B companies, the best path forward is a hybrid model:

• Continue investing in traditional SEO fundamentals.
• Layer in AI-aligned content that answers questions directly and cleanly.
• Monitor your overlap rate by vertical to guide future strategy.

Google’s experiment isn’t finished, but one thing is clear: the organizations winning in 2025 won’t be debating AI or SEO. They’ll be mastering both.