Embracing Generative Engine Optimization: A New Era for Marketers

Generative Engine Optimization GEO AI SEO Chatbot Optimization AI Search
Abhimanyu Singh
Abhimanyu Singh

Engineering Manager

 
November 13, 2025 2 min read
Embracing Generative Engine Optimization: A New Era for Marketers

TL;DR

Generative Engine Optimization (GEO) is the evolution of SEO, adapting to AI chatbots and large language models for product discovery. Expect significant traffic increases from AI search this holiday season. Chatbots prefer structured, granular content like FAQs over lengthy blogs, and brands are optimizing their information to appear in AI responses, driving significant market growth.

Rise of Generative Engine Optimization (GEO)

The shift from traditional search engine optimization (SEO) to generative engine optimization (GEO) is driven by the increasing use of large language models for product discovery. This holiday season, more consumers are expected to use chatbots for finding gifts and deals. According to an Adobe report, retailers could experience up to a 520% increase in traffic from chatbots and AI search engines compared to 2024.

GEO: The Next Phase of SEO

GEO is considered the next evolution of SEO. The primary goal remains the same: to anticipate user questions and ensure content appears in the responses. However, chatbots are surfacing different information compared to traditional search engines.

Changing Correlation Between Search Engines and AI Tools

Imri Marcus, CEO of Brandlight, notes a decline in the correlation between top Google links and sources cited by AI tools. The overlap has decreased from approximately 70% to below 20%.

Content Preferences of Chatbots

Chatbots favor information presented in simple, structured formats, such as bulleted lists and FAQ pages, unlike search engines that often prioritize lengthy blog posts. According to Marcus, "An FAQ can answer a hundred different questions instead of one article that just says how great your entire brand is."

Importance of Granular Information

Specific user queries to chatbots necessitate the publication of extremely detailed information. For example, users are more likely to ask about the driving range of specific car models like the Chevy Silverado or Chevy Blazer rather than asking "Is General Motors a good company?", according to Marcus.

Industry Adoption and Strategies

Companies like LG, Estée Lauder, and Aetna are refining their marketing strategies based on these insights. Brian Franz, from Estée Lauder Companies, emphasizes the importance of ensuring product information and authoritative sources are optimized for AI models, stating, "We want to make sure the product information, the authoritative sources that we use, are all the things that are feeding the model."

Focus on Consumer Awareness

Brands are primarily focused on enhancing consumer awareness through chatbot mentions, rather than immediate sales conversions. The goal is to ensure their products appear when users ask relevant questions, such as "What should I put on my skin after a sunburn?".

AI-Optimized Content Creation

Companies are leveraging AI to create AI-optimized content. Marcus notes that AI engines are indeed being trained on AI-generated content.

Market Growth

The GEO market is projected to be worth nearly $850 million this year.

Abhimanyu Singh
Abhimanyu Singh

Engineering Manager

 

Engineering Manager driving innovation in AI-powered SEO automation. Leads the development of systems that automatically build and maintain scalable SEO portals from Google Search Console data. Oversees the design and delivery of automation pipelines that replace traditional $360K/year content teams—aligning engineering execution with business outcomes.

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