Tiger Tracks · Eye of the Tiger · Search & GEO · October 2026

Half of consumers now intentionally use AI-powered search engines, and McKinsey estimates that $750 billion in US revenue will flow through AI-powered search by 2028 [1]. The same research warns that brands unprepared for the shift could see traffic from traditional search fall by 20% to 50% as decisions move onto AI surfaces before anyone clicks [1].

Search has moved from keyword queries and lists of links to conversations that end in a synthesized answer. Traditional SEO focuses on ranking pages in search engine results pages (SERPs). AI engines now respond directly, drawing on many sources at once. This article explains what GEO is, how it relates to SEO and what marketers should do about it as of October 2026.

1. Answer Engines Are Reshaping Discovery

Users increasingly ask a question and read an answer instead of scanning ten blue links. Google says both AI Overviews and AI Mode may use a "query fan-out" technique, issuing multiple related searches across subtopics and data sources to build a response [3]. The effect on clicks is measurable. In a Pew Research Center study of US adults' Google searches in March 2025, users who saw an AI summary clicked a traditional search result in 8% of visits, compared with 15% when no summary appeared, and clicked a link inside the summary itself in just 1% of visits [4].

Where Classic SEO Loses Ground

• Users can get a quick answer without browsing pages
• AI aggregates and summarizes content from multiple sources
• Search surfaces now compete on the quality of the answer, not only the order of the links

Tactics built purely around keyword placement and link volume lose value in this environment, because the answer, not the ranking, is what most users see first.

2. GEO Optimizes for Inclusion in Generated Answers

GEO targets the AI systems that compose conversational answers rather than only the algorithms that rank pages. The term was formalized in academic research presented at KDD 2024, which found that GEO methods could boost a source's visibility by up to 40% in generative engine responses, with effectiveness varying by domain [5].

Key Differences Between SEO and GEO

Visibility in AI answers depends heavily on sources a brand does not own. McKinsey found that a brand's own websites typically make up only 5% to 10% of the sources AI search references [1]. At the same time, SEO remains the entry point: seoClarity found that 97% of AI Overviews cited at least one source from the top 20 organic results in an analysis of 432,000 keywords, last updated October 2025 [6].

GEO Focus Areas

• Structured, factual content
• Clear, concise answers to common questions
• Consistent brand and product information across your site and trusted third-party sources

3. GEO Builds on SEO Rather Than Replacing It

Google states that there are no additional requirements or special optimizations needed to appear in AI Overviews or AI Mode; a page must be indexed and eligible to be shown in Search with a snippet [3]. Combined with the strong overlap between AI Overview citations and top organic results [6], the practical conclusion is that GEO extends SEO rather than replacing it.

The volume story has also turned out differently than forecast. In February 2024, Gartner predicted that by 2026 traditional search engine volume would drop 25% as users shifted to AI chatbots and other virtual agents [7]. Google's own reporting does not show that decline on its platform: in July 2026, the company said AI Mode, like AI Overviews, is driving an incremental increase in Search queries overall, and that it has brought AI Overviews and AI Mode together into one Search experience [8]. What has fallen is the share of searches that end in a click to a website [4]. SparkToro's analysis of Similarweb data found that 68% of US Google searches ended without a click from January to April 2026, up from about 60% in 2024 [9].

Practical Steps to Adapt

• Audit content for AI-readiness and clarity
• Use natural language and a conversational tone
• Provide verifiable facts and cite sources
• Keep technical SEO foundations sound so pages remain indexed and eligible for snippets [3]
• Track AI visibility directly; McKinsey found only 16% of brands systematically track AI search performance [1]

The Cost of Ignoring GEO

• Reduced organic traffic from informational queries
• Loss of brand presence in AI answers
• Missed engagement opportunities at the research stage

4. Three Futures for Search and GEO

The hybrid future is the most likely because Google, the largest search surface, has merged its AI features into Search while still sending traffic to websites and stating that standard SEO eligibility rules apply [3][8]. The wild card is a policy or legal shift, such as new rules on how AI systems may use publisher content, which could change which sources appear in answers almost overnight. The strategic implication holds in every scenario: brands that keep strong SEO foundations and build a credible presence across third-party sources are prepared for whichever future arrives.

The first-order effect of generative search is fewer clicks per search [4]. The second-order effect is a measurement gap: when influence happens inside an answer, last-click reporting under-credits the content that shaped the decision, which is why so few brands track AI visibility today [1]. The third-order effect is a budget shift toward content quality, digital PR, reviews and structured data, because those inputs determine whether a brand is cited at all.

Preparing for Ongoing Evolution

• Monitor AI search changes continuously
• Invest in AI visibility tracking and analytics
• Collaborate across SEO, content, PR and analytics teams

Conclusion

GEO is not a rebrand of SEO, and it is not a replacement for it. It is the next layer of the same discipline: be indexable, be accurate, be cited by sources the AI trusts, and measure visibility where users now make decisions. Tools can track citations and draft content at scale, but deciding what a brand should be known for, and proving it with evidence, remains human work. That is the Human-Led, AI-Augmented approach that wins in generative search.

References

1. McKinsey & Company, Silliman, E., Boudet, J., and Robinson, K. (October 16, 2025). New front door to the internet: Winning in the age of AI search. https://www.mckinsey.com/capabilities/growth-marketing-and-sales/our-insights/new-front-door-to-the-internet-winning-in-the-age-of-ai-search
2. Google, Pichai, S. (May 19, 2026). Google I/O 2026: Sundar Pichai's opening keynote. https://blog.google/innovation-and-ai/sundar-pichai-io-2026/
3. Google Search Central. (Last updated December 10, 2025). AI features and your website. https://developers.google.com/search/docs/appearance/ai-features
4. Pew Research Center, Chapekis, A., and Lieb, A. (July 22, 2025). Google users are less likely to click on links when an AI summary appears in the results. https://www.pewresearch.org/short-reads/2025/07/22/google-users-are-less-likely-to-click-on-links-when-an-ai-summary-appears-in-the-results/
5. Aggarwal, P., Murahari, V., Rajpurohit, T., Kalyan, A., Narasimhan, K., and Deshpande, A. (June 28, 2024). GEO: Generative Engine Optimization. KDD 2024. https://arxiv.org/abs/2311.09735
6. seoClarity, Traphagen, M. (Last updated October 23, 2025). Impact of Google's AI Overviews: SEO Research Study. https://www.seoclarity.net/research/ai-overviews-impact
7. Gartner. (February 19, 2024). Gartner Predicts Search Engine Volume Will Drop 25% by 2026, Due to AI Chatbots and Other Virtual Agents. https://www.gartner.com/en/newsroom/press-releases/2024-02-19-gartner-predicts-search-engine-volume-will-drop-25-percent-by-2026-due-to-ai-chatbots-and-other-virtual-agents
8. Google, Pichai, S. (July 22, 2026). Q2 2026 earnings call: Remarks from our CEO. https://blog.google/company-news/inside-google/message-ceo/alphabet-earnings-q2-2026/
9. Search Engine Land, Goodwin, D. (June 9, 2026). Google zero-click searches reach 68% in early 2026: Study. https://searchengineland.com/google-zero-click-searches-2026-study-479717
10. Google, Reid, E. (May 19, 2026). A new era for AI Search. https://blog.google/products-and-platforms/products/search/search-io-2026/

Published by Tiger Tracks. Eye of the Tiger Intelligence Series.