How Google’s Latest Search Updates Are Changing SEO and GEO

Aug 19, 2026 | Digital Marketing & AI

Summary

Google's expansion of AI Overviews and AI Mode is changing how users interact with search results and how organizations measure online visibility. As more searches are answered directly within Google's search experience, traditional SEO increasingly overlaps with Generative Engine Optimization (GEO), which focuses on having content selected, summarized, and cited by AI-generated answers. The article explains why traditional ranking factors remain important and outlines how organizations can adapt their website strategies to address both SEO and GEO.

How Google’s Latest Search Updates Are Changing SEO and GEO

By Outreach Strategists Staff
AUG 19, 2026

Organizations that have managed a website’s search presence for more than a couple of years have likely noticed something unusual: ranking first no longer guarantees what it once did. Traffic can hold steady on the impressions graph in Search Console while click numbers quietly decline. This reflects a genuine restructuring of how Google search works, and it has changed the practice of SEO and given rise to the closely related discipline now known as GEO.

What Has Changed

Google’s most consequential change over the past two years represents a broader transition away from a results page composed of ten organic links toward one centered on an AI-generated summary positioned above them. This began as AI Overviews and has since expanded into AI Mode, a fully conversational search experience that Google made a default part of search around its May 2026 I/O conference. At that event, Google reported that AI Mode had already surpassed 1 billion monthly users, with query volume more than doubling each quarter.

Analytics firm SparkToro found that in the first four months of 2026, 68% of Google searches in the United States ended without a click to any website, up from roughly 60% just two years earlier. The Pew Research Center conducted its own study using real browsing data from 900 U.S. adults across nearly 69,000 searches, and found that when an AI Overview appeared on the results page, only about 8% of users clicked through to a traditional result, compared with 15% when no AI Overview was present. Methodologies vary between firms, so the exact percentages differ from study to study, but the underlying trend is consistent: more queries are being resolved directly on the results page, and fewer users are proceeding to an external website.

Google has acknowledged this shift publicly. In May 2026, Hema Budaraju, Vice President of Product Management for Google Search, published a statement on the official Google Search blog outlining a series of changes intended to direct additional traffic to the broader web from within AI Overviews and AI Mode. These included inline links placed directly within the AI-generated text, hover previews on desktop, and a new “related content” section at the end of AI answers. Google characterizes these updates as improvements to web discovery. 

Why Core Ranking Factors Still Matter

Traditional ranking factors have stopped being the entirety of what matters. Google maintained its regular core update schedule through 2026, with a confirmed spam update completing in late June. The company’s longstanding emphasis on E-E-A-T, an acronym denoting experience, expertise, authoritativeness, and trustworthiness, remains firmly in place. If anything, this framework has grown more consequential, given that the signals that lead Google to rank a page favorably are largely the same signals that lead a generative AI system to regard that page as suitable for citation or summarization.

As a result, a site built on thin or mass-produced content is no longer only at risk of a ranking decline. It is also unlikely to surface in an AI Overview or be referenced in a chatbot’s response, which is increasingly becoming the more valuable outcome of the two.

The Emergence of GEO

Generative Engine Optimization, or GEO, is the term that has emerged for a specific objective: ensuring a brand’s content is selected, summarized, and cited within AI-generated answers, whether from Google’s AI Overviews and AI Mode or from tools such as ChatGPT, Perplexity, and Gemini. The concept originates from a 2024 research paper published by researchers at Princeton University and the Indian Institute of Technology Delhi, which sought to identify the specific characteristics that render content more likely to be incorporated into a generated response. The term has since become a standard component of search marketing terminology and is addressed regularly by industry publications such as Search Engine Land.

While GEO shares considerable overlap with established SEO practice, its objective is distinct. Traditional SEO is oriented toward securing a favorable position within a ranked list of results. GEO, by contrast, is oriented toward ensuring that a page is extracted as a discrete passage, evaluated for the clarity with which it addresses a specific query, and incorporated into a separately generated response, frequently without generating a click at all. This tends to favor content with the following characteristics:

  • Clear, direct answers positioned near the top of the page, since AI systems tend to draw on well-defined statements rather than paragraphs that build gradually toward a point.
  • Content organized into lists, steps, or defined terms, which is easier for a model to parse and extract accurately.
  • Demonstrated sourcing and expertise, since generative systems weigh credibility when determining what merits citation.
  • A presence on the sites these systems already trust and draw from repeatedly, including established publications and reputable reference sources.

Implications for Website Strategy

At present, traffic figures alone no longer provide a complete account of a page’s influence; a page can inform thousands of AI-generated answers each day without registering a single session in analytics. This represents a genuine shift in how visibility must be measured, not merely how content must be written.

For most organizations, this means pursuing two goals simultaneously rather than choosing between them:

  1. Continue the practices that have always earned strong rankings: genuine expertise, clear writing, a well-built and fast site, and content that is genuinely useful to the reader.
  2. Structure that content so a generative system can interpret it as well: direct answers, clean formatting, and credible sourcing, without sacrificing the depth that made the content worth reading in the first place.

The organizations facing the greatest difficulty at present are those treating this as an either-or decision, either pursuing AI-citation tactics at the expense of substance or disregarding the shift altogether and struggling to understand why traffic continues to decline even as rankings hold steady. SEO and GEO are not, in practice, competing disciplines. They are converging into a single one.

Frequently Asked Questions

What is GEO in SEO?

GEO stands for Generative Engine Optimization. It focuses on increasing the likelihood that a brand’s content will be selected, summarized, or cited in AI-generated answers from systems such as Google’s AI Overviews and AI Mode, as well as ChatGPT, Perplexity, and Gemini.

What are Google AI Overviews?

Google AI Overviews are AI-generated summaries that appear within Google Search and provide users with synthesized information in response to search queries. The article describes their expansion as part of Google’s broader shift toward AI-generated search experiences.

What is Google AI Mode?

AI Mode is Google’s conversational search experience. The article describes it as an expansion of AI-generated search that has changed how users interact with search results and how websites can receive visibility.

How are AI Overviews affecting website clicks?

The article explains that more searches are being resolved directly within search results, which can reduce the number of users who click through to external websites. It cites research from SparkToro and Pew Research Center showing lower click-through rates when AI-generated summaries appear.

Does traditional SEO still matter with AI search?

Yes. The article argues that traditional SEO practices remain important, including expertise, clear writing, website performance, and useful content. These practices can also support the credibility and clarity that AI systems consider when selecting content for generated responses.

What is E-E-A-T?

E-E-A-T stands for experience, expertise, authoritativeness, and trustworthiness. The article identifies it as a longstanding part of Google’s approach to evaluating content and argues that these qualities remain important as search increasingly incorporates generative AI.

How should organizations adapt their websites for SEO and GEO?

Organizations should continue creating useful, expert content while structuring it so generative systems can interpret it clearly. The article recommends direct answers, clean formatting, credible sourcing, and maintaining the substance and depth that make content valuable to readers.

Sources and Further Reading