Google AI Overviews now trigger on nearly half of all tracked queries across nine industries, reaching 83% in healthcare alone. For brands that have spent years building organic rankings, this creates a visibility gap that position alone cannot fill.

New research across Google AI Overviews, ChatGPT citation behaviour, and platform search activity shows that the search landscape has split into three distinct discovery systems, each selecting content differently. Rankings still matter, but they are no longer the complete picture.

AIO Is Expanding Fast, and Organic Results Are Moving Down the Page

BrightEdge’s twelve-month analysis tracked AI Overviews coverage from February 2025 to February 2026 and found it grew by 58% year-on-year. The industry-level growth shows how quickly this has shifted:

  • Healthcare: 88% of queries now trigger AIO
  • Education: up from 18% to 83%
  • B2B technology: up from 36% to 82%
  • Restaurants: up from 10% to 78%

When AIO appears, it occupies a significant portion of the screen. The average AI Overview exceeds 1,200 pixels in height, while a standard desktop screen measures roughly 900 pixels. The first organic result now sits below the fold on most screens whenever AIO fires.

The more significant finding is what AIO actually cites. Only 17% of sources referenced in AI Overviews also appear in the organic top 10. Ranking number one does not automatically result in AIO inclusion, and pages outside the top 10 are regularly being surfaced.

AIO draws from the broader indexed ecosystem using a mechanism called FastSearch, which triggers multiple queries from a single conversational search and pulls the top results from each. Organic SEO and AIO visibility are related, but they operate differently.

 

Want to go deeper? Read our full breakdown of how Google is reshaping the user journey:

Google’s AI-Driven Search Overhaul: How to Stay Visible

 

ChatGPT Citations: A Concentrated Pool With a Clear Way In

Citation patterns inside large language models are highly concentrated. According to Kevin Indig’s study across roughly 1.2 million ChatGPT responses, approximately 30 domains capture 67% of all citations within a given topic. The top 10 domains alone account for 46% of citations in product comparison queries.

ChatGPT also retrieves considerably more pages than it cites. Research by AirOps found that it retrieved approximately six times as many pages as it ultimately referenced, and 85% of retrieved pages were never cited in a final answer. Being indexed is not enough. Being selected is what counts.

A few patterns stand out from the data:

  • Pages ranking number one in Google were cited 3.5 times more often than pages ranked beyond the top 20, confirming organic authority still plays a role
  • A third of all citations came from fan-out queries, which are secondary searches triggered by a single conversational question, 95% of which carry zero traditional search volume
  • Longer, more comprehensive pages earned significantly more citations, with the strongest performance appearing between 5,000 and 10,000 characters

ChatGPT rewards topical breadth and depth over single-keyword optimisation. Brands that build comprehensive, well-structured content across a topic will be cited more consistently than those optimising isolated pages. 

 

Want to go deeper? Read how earned media and publisher authority influence AI citations:

AI Media Partnerships: How to Win Brand Visibility in GenAI Answers

 

Social Search: A Discovery Channel Already Bigger Than AI

While most of the industry conversation has focused on AI, SparkToro and Datos research across 41 major platforms puts the current scale in perspective. Social platforms account for roughly 5.5% of all search activity. AI tools account for approximately 3.2%.

Platform Category Estimated Share of Searches
Google ~73.7%
Commerce platforms (Amazon, Walmart, eBay) ~10%
Social platforms (TikTok, YouTube, Reddit, Pinterest) ~5.5%
AI tools (ChatGPT, Claude, Perplexity etc.) ~3.2%

Social search also feeds the other two systems directly. Google now surfaces TikTok videos, YouTube Shorts, Reddit threads, and Instagram posts inside its search results. Its partnership with Reddit has specifically increased the presence of community discussions across the SERP. AI Overviews regularly reference Reddit threads and YouTube content, and platforms including Reddit and YouTube are frequently cited in ChatGPT and other LLM responses.

A single piece of content created for social discovery can generate visibility across social search, traditional Google results, and AI-generated answers. That reach across multiple surfaces is difficult to achieve through website content alone.

How to Build Presence Across All Three Systems

The brands holding visibility as search fragments are not necessarily doing more work. They are directing existing efforts toward content that is built to be selected across all three systems, not just ranked in one.

1. Build Content for Topical Depth, Not Keyword Isolation

AI systems reward breadth and structure. The Indig study found that topical coverage consistently outperforms isolated keyword pages in AI citation environments. Publish content that covers a topic from multiple angles, using definition blocks, comparison tables, step-by-step guides, and FAQ sections. Pages between 5,000 and 10,000 characters showed the strongest citation lift in most verticals. This approach also strengthens AIO inclusion, as AIO draws from a broader content ecosystem rather than just top-ranking pages.

2. Earn Authority in the Platforms AI Systems Trust

Where you appear off-site now matters as much as your own content. Vertical specialists, community platforms such as Reddit, and established media outlets carry significant citation weight in both AIO and LLMs. A focused earned media strategy targeting the platforms your audience relies on for research is now a core component of SEO strategy.

3. Treat Social as a Search Environment

TikTok, YouTube, Reddit, and Pinterest are search platforms with genuine user intent. The SparkToro research found that social search currently accounts for more activity than AI tools. Content created for these platforms surfaces in Google results, informs AI answers, and captures direct platform searches. Structuring social content with discovery in mind creates assets that extend reach across all three systems.

4. Update What You Measure

Clicks are no longer the full picture. As we covered in AI Search Breaks Last-Touch Attribution, AI Overviews, social search, and LLM citations all influence buying decisions before a click occurs. Impressions, brand mentions, citation presence, and first-touch data now sit alongside traffic as legitimate performance signals.

Why We Care

Organic rankings remain the foundation. Organic authority influences AIO inclusion, and pages that rank well are cited in ChatGPT at higher rates than those that do not. That investment is not wasted.

What has changed is that rankings alone are no longer sufficient to confirm a brand is visible. AI Overviews push organic results below the fold on nearly half of all queries. ChatGPT citations are concentrated among a relatively small number of authoritative domains. Social platforms represent 5.5% of all search activity and that content feeds back into Google results and AI answers directly.

The opportunity is in extending what is already working. The structured content, authority signals, and trusted external presence that support strong organic rankings are the same foundations that improve AIO inclusion, increase ChatGPT citation rates, and compound across social search. Presence across all three systems is not a separate strategy. It is where the current one reaches next.

 

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