TL;DR
Generative Engine Optimization is the practice of getting your brand cited by AI search systems like ChatGPT, Google AI Overviews, Perplexity, Claude, and Grok. The short answer to the longer question is below.
GEO is what well-executed SEO produces. AI systems cite the same brands Google ranks. There is no parallel index.
Google's own May 2026 guidance confirms this. Their official position: optimizing for generative AI search is SEO.
The two behaviors that drive AI citations in our client work are useful content across the full buyer journey and active review acquisition.
Technical signals like schema, FAQ structure, and entity definitions help on the margins. They are production discipline, not the unlock.
If an agency sells GEO as a separate retainer or a premium upsell, ask them what their SEO foundation looks like first.
What generative engine optimization actually is
Generative Engine Optimization, or GEO, is the work of getting your brand named inside the answers AI assistants generate when their users ask buyer-intent questions in your category. The cited brand gets credit, visibility, and often the click.
That definition is roughly what every explainer on this topic says. The deeper question is the one most explainers skip. Do you need a separate program for this, with its own tooling and its own retainer, or is GEO what good SEO already produces?
The honest answer, from inside the work, is that GEO is what good SEO already produces. Liam Lytton, founder of The 66th, has put it like this on client calls: "Most clients come to us asking how to appear in ChatGPT or Google's AI Overview. The honest answer is to fix the fundamentals first. Then make your content extractable."
GEO is what SEO becomes when you do it right
AI search systems do not build their own indexes from scratch. ChatGPT pulls from the Bing index. Google AI Overviews pull from the Google index plus the Knowledge Graph. Perplexity pulls through Exa. Claude pulls through its web search tool. The brands cited in those answers are the brands those indexes already rank.
Google made this position official in May 2026. Their guidance to site owners is direct: the best practices for SEO continue to apply to generative AI features, because those features rely on core Search ranking and quality systems. There is no separate optimization track to chase (Google Search Central, 2026).
We have watched this play out in client data. Hedra, an AI technology company we worked with on a bottom-of-funnel content push, earned 108 new AI citations across the engines we monitor in a single quarter. There was no AI-specific tuning on those pages. The same pages that ranked on Google for face swap AI also got pulled into ChatGPT, Perplexity, Claude, and Google AI Overviews answers when users asked category questions.
Liam said it on a client call last quarter: "GEO does not replace SEO. The foundation is high-quality, well-structured content that search engines already reward. AI citation systems pull from the same pool. If a page is not ranking, it is not getting cited either."
That is the load-bearing claim of this piece. The next two sections explain what makes it work, and where the supporting signals fit.
What we actually see drive AI citations in client work
Across the client book at The 66th, two behaviors correlate with AI citation velocity more than any single technical lever. The pattern shows up consistently enough that we treat it as the headline.
The first behavior is publishing useful content across the full buyer journey. Not only bottom-of-funnel service pages. Educational content at the top, comparison content in the middle, and decision content at the bottom. AI systems pull from every stage because their users ask questions at every stage.
The second behavior is active review acquisition. Google Business Profile reviews, Trustpilot, and whatever category platforms the buyer trusts. Review velocity and sentiment are signals AI systems weigh when they decide which brands to surface.
Liam's framing on this: "The brands we see getting a real surge of ChatGPT referrals do two things differently. They publish useful content across the full funnel, not just bottom-of-funnel money pages, and they actively ask for reviews on Google Business Profile, Trustpilot, and whatever category platforms are relevant to them. Those two behaviors correlate with citation velocity more than any single technical lever."
The proof points line up. AetherHaus, a wellness brand in Vancouver, hit position one on Google for cold plunge Vancouver in three months. AI citations on local cold plunge and sauna prompts followed within weeks. Butcher's Hook, an ecommerce brand, started generating sales attributed to ChatGPT within two weeks of starting a GEO retainer because the SEO foundation was already in place. Tenmar, a construction services brand, ranked number one for AI citations on cost-related queries in their category after a structured content build.
None of those wins came from chunking content for retrievers or hand-writing FAQ schema for AI. They came from publishing content that genuinely served the buyer, on a domain Google already trusted, and from clients who pushed review activity on the platforms their buyers consult. Those are SEO behaviors. The AI citations are the byproduct.
TOF education + MOF comparison + BOF service High 3 to 6 months
Google, Trustpilot, category platforms Medium 4 to 8 weeks
Reddit, YouTube, podcasts, listicles Medium 3 to 6 months
Schema, FAQ blocks, scannable structure Low 2 to 4 weeks
Per Google's May 2026 guidance: skip these None n/a
The supporting work that compounds the signal
Once the foundation is in place, the supporting layer of work matters more. The order is the point. The supporting tactics do not produce citations on their own. They compound the signal a strong foundation already sends.
Review management is the highest-yield supporting layer. Liam frames reviews as an SEO channel: "We treat review management as an SEO channel. Sentiment signals are part of how AI systems characterise a brand. A business with strong review velocity, response patterns, and consistent language across platforms looks different to an AI model than one that doesn't."
Structured content discipline comes next. Claim-evidence-source patterns, scannable headings, self-contained FAQ answers, and entity definitions front-loaded into the first paragraph of every page. These are the patterns AI systems extract from cleanly. Most strong content already follows them because they are also what human readers prefer. Google has explicitly said that mechanical content rewrites for AI are not required (Google Search Central, 2026).
Off-site presence carries the rest. Citable mentions on third-party platforms, podcast and YouTube appearances, Reddit threads where the brand is genuinely discussed, and listicles on industry sites. AI systems treat these as corroboration. A brand that only its own website calls a category leader gets filtered out. A brand that twelve independent sources mention gets surfaced.
For the tactical playbook on how to execute the supporting work, our guide on how to optimize content for AI search engines walks through schema, machine readability, and structured extraction. For the AI-platform mechanics specifically, our piece on how to get cited by ChatGPT covers the robots, schema, and off-site signal stack.
What this means if you are evaluating a GEO agency
The GEO category has produced a wave of agencies and tools positioning AI search as a separate discipline that requires its own retainer or its own software. Some of that work is real. Most of it is SEO repackaged with new vocabulary.
When you talk to a prospective vendor, ask one direct question. What does your SEO foundation look like before the AI work begins? If the answer is thin, or if AI optimization is positioned as a way around SEO rather than on top of it, that is a flag. The brands getting cited in AI answers right now are the brands winning in organic search. Skipping the foundation does not work.
The position at The 66th is bundled, not upsold. Every SEO retainer includes the GEO work because the two are the same engine. We do not sell AI search optimization as a separate service. Reviews, content depth, entity clarity, and citation tracking sit inside the standard scope. Hedra paid for content. AetherHaus paid for local SEO. Both got AI citations as part of the result, not as a line item.
If you want the long-form positioning on how we approach this, our generative engine optimization agency page lays out the framework. The dedicated AI search optimization hub shows what we monitor across each engine, with sibling pages for ChatGPT, Google AI Overviews, and the rest of the major platforms.
Frequently Asked Questions
Is GEO the same as SEO?
GEO is the AI citation outcome that disciplined SEO produces. The work is overlapping enough that we treat them as the same engine in client retainers. Google's May 2026 official guidance confirms this framing.
Do I need a separate GEO agency or service?
No, in most cases. AI citations follow the same SEO foundation that earns Google rankings. If your SEO foundation is solid, GEO is bundled into the existing work. If your SEO foundation is thin, a separate GEO retainer will not fix it.
What is the difference between GEO and AEO?
Both terms describe the same body of work. Google's May 2026 guidance explicitly groups AEO, GEO, and similar acronyms together and tells site owners to ignore the distinction. The underlying signals are the SEO fundamentals.
Which AI engines does GEO cover?
The platforms we track and monitor are ChatGPT, Perplexity, Google AI Overviews, Claude, Gemini, Copilot, and Grok. Each weighs source signals slightly differently. The SEO foundation is shared across all of them, which is why one engagement covers the full set.
How do I know if my brand is getting cited in AI answers?
Run buyer-intent prompts in each engine monthly and record which sources get named. Check referral traffic in GA4 for chatgpt.com, perplexity.ai, claude.ai, and gemini.google.com sessions. For a tactical setup, our piece on finding AI search queries in Google Search Console walks through the GSC view that surfaces query data.
Will GEO replace traditional SEO?
No. AI search adds a citation layer on top of the existing search experience. The same content, authority, and review signals that earn Google rankings also earn AI citations. Teams that treat SEO as obsolete will not win AI search either.
Key Takeaways
GEO is the AI citation outcome that disciplined SEO produces. There is no parallel index and no separate optimization track.
Google's May 2026 guidance officially confirms that optimizing for generative AI search is SEO.
Two behaviors drive AI citation velocity in our client data: full-funnel useful content and active review acquisition.
Technical signals like schema, FAQ structure, and entity definitions support the foundation. They are not the headline.
If you are evaluating a GEO vendor, the question to ask is what their SEO foundation looks like before the AI work begins.