There’s a lot of confusion about what people mean when they say “GEO.” Some agencies are using it interchangeably with SEO. Others use it to describe one specific tactic, getting cited in AI Overviews, or showing up in ChatGPT, or improving structured data. Some have dropped the term entirely in favor of “AEO” (Answer Engine Optimization) or “AIO” (AI Optimization). None of these definitions are quite right, and the lack of precision matters more than it sounds like it should.
This shift in how information is accessed is already well underway. According to HubSpot, 74% of consumers believe AI-led search will result in a better user experience than traditional search results.
This piece is going to do something simple. It’s going to define what Generative Engine Optimization actually is, distinguish it from what it isn’t, and make the case for why the term matters even though it’s still being argued about.
I want to put a stake in the ground because the people doing this work, the agencies, the in-house marketing teams, the consultants, are going to spend the next two years arguing over the same things. And while they argue, the discipline is going to move whether anyone settles on a name or not.
The definition of GEO
Generative Engine Optimization (GEO) is the discipline of getting your brand cited inside the answers generated by large language models like ChatGPT, Claude, Perplexity, Google’s AI Overviews, Microsoft Copilot, and the AI tools that haven’t been built yet.
That’s it. Everything else is implementation detail.
The “citation” part is what distinguishes GEO from SEO. SEO is about getting a click, making someone go from a search engine to your website. GEO is about getting cited inside an answer, regardless of whether the click ever happens. When a buyer asks ChatGPT to recommend the best vendor in your category, GEO is the work that determines whether ChatGPT names you. The user might never visit your site. The citation itself is the win.
That’s a meaningful conceptual shift, and it’s why “rebranded SEO” doesn’t work as a description of what GEO is. The objective function is different. SEO optimizes for clicks. GEO optimizes for being included in synthesis. This is critical because Gartner predicts that by 2026, traditional search engine volume will drop by 25% due to the rise of AI chatbots and other virtual agents.
What GEO is not
To understand GEO, we have to define its boundaries. It is not:
- Just optimizing your website for AI crawlers: That is only one part of the equation.
- The same thing as schema markup: While schema helps, it is not the whole strategy.
- Appearing in featured snippets on Google: That is a specific tactic often called AEO.
- “AI search” as a single channel: GEO cuts across multiple platforms with different retrieval behaviors.
- Standard content marketing: While there is overlap, the goals are distinct
You’ve probably seen the term “AEO” (Answer Engine Optimization) used as either a synonym or an alternative for GEO. There’s a real reason to argue about this and I want to address it directly.
AEO, as the term is typically used, refers specifically to the work of becoming the direct answer in a tool’s answer interface, featured snippets in Google, the response box in voice assistants, the synthesized answer in an AI tool. The “engine” part of “Answer Engine” refers to the answering system.
GEO is broader. It includes the work AEO describes, but it also includes everything that influences which sources a generative engine pulls from when constructing its answer. That includes the off-site work (community platforms, peer-review sites, video content, analyst relations, third-party citations) that AEO as typically defined doesn’t cover.
I argue for GEO as the umbrella term for two reasons.
- “Generative engine” is more accurate: The system is generating an answer, not just retrieving one.
- Scope of work: AEO tends to push practitioners toward on-page optimization. GEO implies the full breadth of modern digital marketing trends required to move citations.
I’ll grant this: if you prefer AEO and you’re using it broadly to include all the off-site work, we’re describing the same thing with different acronyms. The work matters more than the label. But when we name a discipline, the name implies what the work includes. GEO implies more of the work than AEO does. That’s why I use it.
What the work actually looks like
If GEO is the discipline, what does executing on it actually involve? Six broad categories, none of which fits inside a traditional SEO scope.
- Owned content and website structure. This is where GEO overlaps with SEO most cleanly. Clear definitions in the first 100 words of a page, structured headings that mirror real user questions, schema markup, FAQ blocks formatted for direct LLM lift, fresh data with verifiable sources. Most of this is good content practice anyway. GEO just raises the stakes on doing it well, because LLMs evaluate sources at a structural level that Google’s keyword-era algorithms didn’t.
- Community platforms. Reddit, Quora, industry-specific forums, Slack and Discord communities where the work is allowed. LLMs cite Reddit heavily, disproportionately so for B2B categories. Companies that have built genuine community presence get cited; companies that haven’t show up only in their own marketing materials, which LLMs weight less.
- Video. YouTube specifically, but increasingly TikTok and LinkedIn-native video too. LLMs are pulling video into their answers more often, and the descriptions, chapter markers, and transcripts of those videos are read for citation context. Most B2B companies have no video strategy. That’s a near-term opportunity.
- Peer-review sites. G2, TrustRadius, Capterra, industry-specific review platforms. The conversation has shifted from “get 5-star reviews” to “what messaging is in the reviews and what does it reinforce.” LLMs read review content to understand category positioning. Your differentiation language has to be visible in the reviews, not just in your sales deck.
- LinkedIn. Company-page Pulse posts more than individual posts, based on what we see in citation data. Long-form analysis from the company page builds citation surface in a way individual personal-account posts mostly don’t.
- Analyst relations and third-party validation. Gartner, Forrester, IDC mentions; industry research; first-party data that other writers cite. The compounding effect: your name appearing in trusted third-party sources, is one of the strongest GEO signals there is.
That’s six surfaces of work that no single existing marketing role typically covers. Which raises the question of who at your company should own all of it, which is a question I’ll come back to in a separate piece on what we’ve been seeing in our buyer-research work.
A note on the signal-level question
A lot of GEO content right now tries to tell you exactly what signals drive AI citations. structured data weights X, Reddit weights Y, peer-review weights Z. Be skeptical of those rankings. The honest version is that the signals that matter depend significantly on who your buyer is, what stage of the buying process they’re in, which AI tool they’re using, and what month it is. The signal-level work is real, but the universal-ranking version of it is almost always wrong. I’ll say more about this in a separate piece on what we actually know and don’t know about LLM signals.
Why this matters now
Two years from now, the citation patterns that LLMs use to recommend vendors in your category are going to be largely set. Once a model has learned to associate “best [your category] vendor” with three specific brand names, through a long training cycle plus reinforced retrieval, displacing one of those three will be meaningfully harder than getting there first was.
The companies establishing themselves in those citation sets right now will pay less to defend that position than late entrants will pay to enter it. That asymmetry is real, and it’s compounding quietly while most marketing teams are still debating whether the discipline is worth the term.
GEO is the term. The work it describes is real. And the window to do it before your category has already been decided is open right now.
If you want to see how GEO is actually being adopted across B2B organizations right now, read the 2026 State of GEO in B2B Marketing report.
Frequently Asked Questions
Is GEO replacing SEO?
No. SEO still handles the intent of users looking for specific websites or transactions. GEO addresses the intent of users looking for synthesized answers and recommendations within AI interfaces.
How do I track GEO performance?
Tracking involves monitoring “share of citation” within major LLMs like ChatGPT and Perplexity, rather than just traditional keyword rankings or organic traffic.
Does my website structure still matter for GEO?
Yes. Clear headings, FAQ blocks, and verifiable data remain foundational for helping LLMs retrieve and cite your content accurately.
Get Your Free GEO Audit
If you want to know how your brand currently shows up in ChatGPT, Perplexity, and Google’s AI Overviews compared to your competitors, GNW Consulting offers a free competitive GEO audit. You receive a customized report in 5-7 days showing where you’re invisible, why, and a prioritized roadmap of quick wins.
