Generative Engine Optimization, or GEO, entered the marketing vocabulary in late 2023, when a group of researchers published a paper formally naming the practice of optimizing content so AI tools like ChatGPT and Google’s AI Overviews cite it in their answers. The concept itself grew out of work that started earlier, once ChatGPT’s November 2022 launch made it clear that people were starting to ask AI chatbots the questions they used to type into Google. At Peak Marketing, we track this shift closely because it changes how content needs to be written, structured, and verified to earn a place inside an AI-generated answer.
The Spark: ChatGPT’s Launch in November 2022
Before there was a name for GEO, there was a problem. When OpenAI released ChatGPT to the public, millions of people discovered they could get a direct answer to a question instead of scrolling through ten blue links. Marketers noticed the shift almost immediately. Traffic patterns started changing in ways that traditional keyword tracking couldn’t explain. Some publishers saw referral clicks drop even as brand mentions inside AI answers went up. That gap between visibility and traffic is what eventually pushed researchers and marketers to ask a new question: how do you get cited by a system that summarizes information instead of linking to it?
2023: The Term Gets Coined
The actual phrase “Generative Engine Optimization” comes from an academic paper released in November 2023 by researchers affiliated with Princeton, Georgia Tech, the Allen Institute for AI, and IIT Delhi. Their study, titled “GEO: Generative Engine Optimization,” tested which content techniques increased the odds of being cited by generative search tools. They found that adding statistics, citing sources, and using clear, quotable phrasing improved visibility inside AI-generated responses by a measurable margin. This paper is often cited as the formal starting point of GEO as a discipline, even though marketers had already been experimenting with similar tactics under other names.
Around the same time, Google was rolling out its own experiment. The Search Generative Experience, announced in May 2023, gave a preview of what AI-assisted search results would look like at scale. It wasn’t public for everyone yet, but it signaled where search was headed, and agencies that paid attention started adjusting their content strategy before the rest of the industry caught on.
The Overlap With AEO
Answer Engine Optimization, or AEO, actually predates GEO by a few years. AEO grew out of the voice search era, when brands optimized content to get pulled into Google’s featured snippets and to answer questions asked through Alexa or Siri. The goals of AEO and GEO overlap heavily: both reward clear, direct answers early in a piece of content, both favor structured formatting, and both depend on content that can be lifted out of context and still make sense. The difference is mostly about which system is doing the answering. AEO was built around search engines answering questions directly on the results page. GEO is about large language models synthesizing an answer from multiple sources and deciding which ones to mention.
2024: GEO Goes Mainstream
If 2023 was when GEO got its name, 2024 was when it became something every content team had to think about. Google began rolling out AI Overviews broadly in May 2024, putting AI-generated summaries at the top of a large share of search results. Perplexity’s user base grew fast enough that publishers started tracking its referral traffic the same way they tracked Google’s. ChatGPT added browsing and search features that let it pull live information from the web instead of relying only on its training data. Each of these moves gave content creators a stronger reason to write in a way that AI systems could parse, quote, and attribute correctly.
This is also the point where SEO agencies started building GEO into their standard service offerings rather than treating it as a side experiment. At Peak Marketing, this meant adjusting our content briefs to require direct-answer openings, question-based subheadings, and source attribution for any data point, changes that help human readers just as much as they help an AI model deciding what to cite.
2025 and Beyond: GEO as Standard Practice
By 2025, GEO had shifted from a novel concept to a baseline expectation. Brand visibility inside AI answers became something clients asked about directly, the same way they used to ask about ranking position. The tactics have kept evolving. Structured data, clear author attribution, and content that reads well when quoted out of context all carry more weight now than they did when the term was first coined. What hasn’t changed is the underlying idea from that 2023 paper: content earns citations by being specific, well-sourced, and easy to lift.
What This Means for Your Content Strategy
Knowing when GEO started matters less than understanding why it started. The timeline shows a pattern: a new way of finding information emerges, users adopt it faster than the industry expects, and content strategy has to catch up. That pattern isn’t finished playing out. Voice assistants, AI browsing agents, and whatever comes after generative search will likely trigger the same cycle again.
For businesses trying to keep pace, the practical move is to build content that holds up under both traditional SEO and AI-driven citation, rather than picking one over the other. That means direct answers early, credible sourcing, and formatting that both a human reader and a language model can follow without friction. Peak Marketing has been adapting client content strategies to this shift since AI Overviews first rolled out, and the agencies that started early are the ones with the most data on what actually earns a citation today.
