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What is generative engine optimization?
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A stylized art deco image featuring a classic steam engine with interlocking gears and glowing lines of data. The steam engine, symbolizing the foundational power of industrial innovation, is integrated with modern, abstract elements like radiant light streams and data flows. This represents the evolution from traditional engines to advanced generative AI, highlighting the continuous thread of progress.

What is generative engine optimization?

By Jacob Andra / Published August 15, 2024 
Last Updated: August 15, 2024

Generative engine optimization (GEO) is a type of search engine optimization (SEO) that aims to make a website (or other asset) show up in generative AI search results. Essentially, it’s SEO for a new, upcoming type of search.

Main takeaways
Generative AI will change the search experience.
Brands will want to appear in generative search results.
New search will layer gen AI onto the internet’s existing information retrieval architecture.
Many of the “old” SEO strategies and tactics will still apply.
New strategies and tactics will be needed.
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What is generative search?

On July 25, 2024, OpenAI announced the upcoming release of a search engine driven by generative AI. Called “SearchGPT,” it’s “designed to combine the strength of…AI models with information from the web to give you fast and timely answers with clear and relevant sources.”

Before this announcement, I was predicting the rise of generative search engines. Well, here we are.

Think of generative search like taking a wrapper of gen AI and layering it over pre-existing information retrieval systems that have been developed over the past two decades. In other words, it’s regular search—with generative AI added in.

Here’s how we can expect gen AI to be different from pre-AI search—after the kinks have been worked out.

  • More personalization: generative AI will aim to understand personal context and search intent better than “old search” and match results accordingly.
  • More curation: instead of showing a massive wall of search results, we predict generative search engines to show fewer results that are customized to the searcher.
  • Natural language queries: keywords are out and conversation is in. Users will ask questions in conversational language—alternating between spoken and typed queries—rather than entering specific keywords.
  • Dynamic interaction: generative search engines will ask follow-up questions to clarify user intent, or to provide more specific information.
  • Synthesized answers: instead of merely linking to sources, generative search will deliver coherent, summarized answers drawn from multiple sources.
  • Multi-modal search: generative AI will understand and process queries that combine text, images, audio, or video. Users will query via voice search, via a combination of typed query and image (“Where was this picture taken?”), or other modalities.
  • Task assistance: beyond providing information, generative search may help users complete tasks directly within the search interface as agentic AI becomes more mainstream.
  • Contextual understanding: generative search will have a better grasp of nuanced queries, including context, intent, and even emotional undertones.
  • Source transparency: generative search will prioritize clear attribution and linking to sources used in generating answers.
  • Handling ambiguity: generative search will have the ability to recognize and clarify vague or ambiguous queries, potentially offering multiple interpretations.
  • Continuous learning: generative search will dynamically adapt to user behavior and preferences over time.

These goals may not all be realized initially, but they represent the future of search.

How can I optimize my website for generative engines?

Art deco aesthetic, flowing geometric lines resembling waves, combined with subtle gears and data lines integrated into the design. The image represents the continuous, fluid process of website optimization for generative engines. The design is minimal and clean, with a strong emphasis on the elegant, futuristic, and organized structure typical of the art deco style.

We’re in the very early stages of generative search, so forecasting the most successful tactics is little more than fortune-telling. But here’s what we do know: generative search products won’t reinvent information retrieval as we know it. Many of the tried-and-true SEO best practices will still apply. Relevant backlinks, great website content that satisfies your customers, and brand signals should drive results. Beyond that, it’s hard to say.

Talbot West will be testing generative search and reporting on our findings.

Need help with GEO?

Even though we don’t have concrete answers on generative engine optimization—no one does as of August 2024—we can still guide you to have the right foundation. Whether you want to spin up your own AI-driven content ops or invest in branding strategies that stand the test of time, we’ll show you how to position your brand to be on the right side of technological change.

As the founder of a successful SEO agency that’s driven millions in revenue for its clients, I know a thing or two about SEO. Pair that with my in-the-trenches understanding of artificial intelligence, and I’m as well-positioned as anyone to guide GEO initiatives.

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GEO FAQ

In May 2023, Google introduced its experimental “Search Generative Experience” (SGE) to select users. In May 2024, the feature, now dubbed “AI Overviews,” became available to the general public.

In some ways, Overviews heralds the new generation of search on the horizon, but in other ways, it’s part of the old guard.

Overviews is a bolted-on feature to Google’s search engine results page (SERP), which hasn’t changed substantially since its inception. The new generation of search will bring a results page more like a sleek, custom website that caters to the user, with integrated point of sale and all relevant information available via interactive features such as dropdowns, menus, and follow-up prompts. We won’t be clicking through website after website to find what we’re looking for; this curated results page will dynamically aggregate everything we need in response to our ongoing queries.

The implications will be huge. But we’ll cover those in a future article.

Google will need to innovate fast to remain dominant. Will the behemoth be able to fundamentally reimagine the search experience through the lens of AI? Or will they keep bolting AI onto their legacy product?

Even if they do a hard pivot and are willing to strip their search product to the bone and rebuild it, there’s no guarantee they will stay at the top of the heap.

About the author

Jacob Andra is the founder of Talbot West and a co-founder of The Institute for Cognitive Hive AI, a not-for-profit organization dedicated to promoting Cognitive Hive AI (CHAI) as a superior architecture to monolithic AI models. Jacob serves on the board of 47G, a Utah-based public-private aerospace and defense consortium. He spends his time pushing the limits of what AI can accomplish, especially in high-stakes use cases. Jacob also writes and publishes extensively on the intersection of AI, enterprise, economics, and policy, covering topics such as explainability, responsible AI, gray zone warfare, and more.
Jacob Andra

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