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Google's Expandable AI Overviews Changed the SERP: What Agencies Need to Know Now

Google rolled out accordion-style expandable AI Overviews on March 5, 2026. Here is what it means for your content strategy, your client reporting, and your SEO service model.

Google just made AI Overviews interactive. On March 5, 2026, users began seeing expandable, accordion-style dropdowns inside AI Overviews directly on the SERP. Click a section header, and layered detail expands beneath it, all without leaving Google. No new tab. No visit to your site. Just a Google-generated answer that gets deeper on demand.

This is not a minor UI refresh. It is a structural change to how information is delivered inside search results, and it has direct implications for every agency managing content and SEO for clients. If you are still optimizing for the featured snippet and calling that your AEO strategy, you are already a step behind.

Here is what changed, why it matters more than it looks, and what to actually do about it.

What Google’s Accordion AI Overviews Actually Do

Before this update, AI Overviews were a single block of synthesized text sitting above organic results. It answered the query, cited a few sources in small footnote-style links, and that was it. Users either clicked a citation or scrolled down to organic results.

The accordion format layers that experience. Now the initial AI Overview contains expandable sections, each covering a sub-topic or follow-up angle of the query. A search for “how to treat a rotator cuff injury” might surface an AI Overview with three expandable tabs: causes, treatment options, and when to see a doctor. Each tab expands into a full answer, complete with its own citations and context.

The result is a self-contained information ecosystem inside the SERP. Google is no longer just answering your question. It is anticipating your follow-up questions and answering those too, all in the same screen.

For users, this is convenient. For publishers and businesses trying to drive traffic, it changes the math on content visibility significantly.

Layered information panels expanding inside a search results interface with teal accordion sections

Why This Is a Bigger Deal Than a UI Tweak

The accordion format matters because it signals intent: Google wants users to stay on Google longer. The more questions it can answer in one place, the less reason users have to click anywhere else.

This matters at two levels.

At the traffic level: AI Overviews were already suppressing organic click-through rates. Research published in early 2026 showed AI Overviews surging across nine distinct industries, from healthcare to finance to home services. The accordion update accelerates that trend. Where a user might previously have clicked through to your page for follow-up information, they can now expand a tab and get it without leaving.

At the authority level: To appear in accordion AI Overviews, your content needs to be structured and trustworthy enough for Google to pull from at depth, not just at the surface level. A single well-optimized H2 might get you into the original AI Overview summary. But to get cited inside an expanded tab, your content needs enough specificity and structure that Google can pull a targeted sub-answer from it. That is a higher bar.

This changes the definition of “ranking” in 2026. The new question is not whether you appear on page one. It is whether your content is cited at any depth inside the AI Overview, and if so, where.

How AI Overviews Are Taking Over More of the SERP

The accordion update did not happen in isolation. It is part of a pattern. According to Search Engine Journal, Google AI Overviews have been surging across nine industries in recent months, including healthcare, legal services, finance, and local services. The share of queries triggering AI Overviews has grown steadily since late 2025.

What that means practically: more of your clients’ target queries are now producing AI Overviews above organic results, and those AI Overviews are now getting interactive. The visual real estate at the top of the SERP is shrinking for traditional organic results and expanding for Google’s own synthesized content layer.

At the same time, searches that used to produce a clean set of ten blue links now often lead with an AI Overview, then a few sponsored results, then an image pack or map, and then organic results. In competitive verticals, organic result position one might be four or five scroll-steps below the fold on a mobile device. The accordion update adds another layer of expansion to an already stacked SERP.

If you are reporting organic rankings to clients without contextualizing what sits above those rankings, your reporting is telling an incomplete story.

Content strategist reviewing a structured sitemap and content hierarchy on a large monitor with blue teal color scheme

What This Means for Your Content Strategy

This is where the tactical implications start. If Google is now pulling from content at multiple depths of a topic, your content architecture needs to reflect that.

Structure for sub-questions, not just the primary query. Every page should anticipate the two or three most common follow-up questions related to the main topic and answer them within the same page, clearly labeled with H3 headers. This makes it easier for Google to pull sub-answers from specific sections of your content into expanded accordion tabs.

Use explicit section headers. Vague H2s like “More Information” or “Other Considerations” will not perform in AI Overviews. Google needs to parse what each section is about. Headers like “How Long Does Recovery Take After Rotator Cuff Surgery?” or “What Is the Difference Between GEO and SEO?” give the system something unambiguous to latch onto.

Tighten your answer blocks. Each H2 or H3 section should open with a direct, complete answer in the first one to two sentences, followed by supporting detail. This mirrors how AI Overviews pull and display information. If your answer is buried in paragraph three of a section, it is harder to extract.

Update older high-traffic content. If you have pages ranking in position one to five on high-volume queries, those are the pages most likely to be considered for AI Overview inclusion. Audit their structure against the principles above. A structural update to an existing page is faster and often more effective than publishing new content.

Publish FAQ sections. FAQ schema and structured FAQ content continue to be among the most reliable signals for AI Overview citation. If your content does not have a FAQ section, add one. Make the questions specific and the answers direct.

These are not new concepts. What is new is that the accordion format makes depth of coverage directly visible in the SERP, not just coverage of the main query. Content that goes three questions deep on a topic is now more valuable than it was six months ago.

If you want a structured way to evaluate how well your content is positioned for AI search, the AI Search Optimizer at Emarketed will show you where your pages stand and what needs updating.

How Agencies Should Respond Right Now

The accordion update is an operational signal as much as a content signal. Here is what to do at the agency level:

Update your AEO service definition. If you are selling AEO or AI search optimization to clients, your deliverables should now include content structured for multi-depth AI Overview citation, not just for the primary answer layer. This is a new dimension of the service that justifies its own reporting metric.

Revise your organic reporting. If you are tracking keyword rankings and traffic, start layering in AI Overview presence. Tools like SE Ranking and Semrush have begun tracking AI Overview visibility separately. Add that to your client dashboards. Clients need to understand that ranking position five on a query where they are cited in the AI Overview is often better than ranking position one on a query where an AI Overview absorbs all the clicks.

Audit top-priority client pages for structure. Take the ten to twenty highest-traffic pages for each client and run them through the structure checklist above. Prioritize pages targeting queries where AI Overviews are already appearing. These are the pages with the most to gain from structural updates.

Build content depth into your editorial calendar. Surface-level posts that answer one question and move on are losing value faster than ever. The editorial work that pays off now is the kind that builds topic authority across multiple related questions, the kind of content structure that earns multiple AI Overview citations from a single strong page.

Our AEO service page covers the full framework we use to optimize client content for AI search, including how we approach structure, authority, and citation visibility across Google AI Overviews, Perplexity, and ChatGPT.

For a deeper look at how zero-click search affects your traffic model across all AI platforms, not just Google, the post Zero-Click Search Is Everywhere Now covers the full landscape and what to do about it.

Agency team reviewing a digital analytics dashboard with bar charts and colored panels in a bright office setting

FAQ: Google Accordion AI Overviews

What is the accordion format in Google AI Overviews? It is an interactive, expandable dropdown structure within AI Overviews that lets users click to reveal additional layered information without leaving Google. Each expandable tab covers a sub-topic or follow-up angle related to the main query.

Will this hurt my organic traffic? It is likely to suppress click-through rates on queries where AI Overviews appear, especially informational queries where users can get what they need without clicking. The degree of impact depends on the query type and your current AI Overview visibility.

Can I get my content cited inside the accordion tabs? Yes. Google pulls content for AI Overview accordion tabs from pages it considers authoritative and well-structured on a specific sub-topic. Pages with clear H3 structure, direct answer blocks, and good topical depth are more likely to be cited.

Does this affect all industries equally? No. AI Overviews are more prevalent on informational and research-driven queries. Industries like healthcare, finance, legal, and local services see higher AI Overview rates. E-commerce and transactional queries are less affected, though that is changing.

How do I know if my pages are being cited in AI Overviews? Manual checking is the most reliable method right now, searching your target queries and noting whether your content appears. Some SEO tools are adding AI Overview tracking to their rank-monitoring features. Google Search Console does not yet show AI Overview impression data separately from standard organic.

What is the difference between AEO and traditional SEO in light of this update? Traditional SEO targets rankings in the ten blue links. AEO (answer engine optimization) targets visibility inside AI-generated answer surfaces, including AI Overviews, ChatGPT, and Perplexity. The accordion update makes AEO structure more important because Google is now pulling content at multiple depth levels, not just one.

What Comes Next

The accordion AI Overview is one feature, but it is part of a consistent direction: Google making its own answer layer more robust, more interactive, and more capable of keeping users inside Google longer.

The question for agencies is not whether this trend continues. It will. The question is how quickly your service model and your content structure adapt to the reality that search is now a multi-layer answer ecosystem, not a list of links.

Agencies that reframe their value proposition around citation and authority in AI systems, rather than rankings in a link list, are building the right foundation for the next two to three years of search. That means structured content, topical depth, and the ability to report on visibility metrics that go beyond position tracking.

If your clients are not asking you about AI Overviews yet, they will be soon. Getting ahead of the question is the job.

About the Author

Matt Ramage

Matt Ramage

Founder of Emarketed with over 25 years of digital marketing experience. Matt has helped hundreds of small businesses grow their online presence, from local startups to national brands. He's passionate about making enterprise-level marketing strategies accessible to businesses of all sizes.