The difference between GEO and SEO is where you want to show up. Search engine optimization (SEO) earns your pages a place in search results. Generative engine optimization (GEO) aims to get your brand named, recommended or cited inside the answers that AI tools such as ChatGPT, Gemini, Perplexity and Google's AI Overviews write. Answer engine optimization (AEO) began as the work of becoming the single answer in featured snippets and voice search, and most people now use it for AI answers too.
The honest bottom line: the three share most of their foundations, and Google's own documentation says optimizing for its AI features is "still SEO". The differences are in what you measure and which sources matter. AI answers change between runs, so you track how often you appear across many runs instead of a rank. And pages other people write about you count for more.
I'm Ray, founder of InkieAI, which tracks how AI assistants answer buyer questions. I have a stake in GEO being taken seriously, so I'll be specific about where it's new work and where it's SEO with a new name.
What SEO, AEO and GEO mean
What is SEO?
Search engine optimization (SEO) is the work of making pages that search engines can crawl, index and rank for the searches your buyers make. Success is a high position in the results and the visit that follows. For most teams the engines are Google and Bing.
What is AEO?
Answer engine optimization (AEO) is the work of making your content the answer a system gives back, instead of one link among ten. It started with featured snippets and voice assistants, which show or read out one answer. Today most people who say AEO also mean AI answers, which makes it close to a synonym for GEO.
What is GEO?
Generative engine optimization (GEO) is the work of getting your brand and pages used in answers that a language model writes. It covers three separate outcomes. The answer can name your brand, recommend it for the buyer's need, or cite a page you own as a source.
GEO vs SEO vs AEO compared
The AEO column describes the original meaning, before AI answers. Once AEO includes AI answers, it reads like the GEO column.
| What differs | SEO | AEO | GEO |
|---|---|---|---|
| Where you show up | Ranked links on search results pages | The single answer: featured snippets, People Also Ask, voice replies | Inside AI-written answers in ChatGPT, Gemini, Perplexity, AI Overviews and AI Mode |
| Unit of success | A ranking position, then a click | Being the answer that's shown or read out | Being named, recommended or cited in the answer |
| What you measure | Rank, impressions, clicks, conversions | Which snippets and answer boxes you hold | Share of runs that name, recommend or cite you, per question and engine, and who appears instead |
| How stable results are | Steadier: positions move over days and weeks | One answer at a time, which can switch to a competitor | Varies between runs of the same question; one study put the odds of the same brand list twice at under 1 in 100 |
| Sources that matter most | Your own pages and the links pointing to them | Your own page with a clean, direct answer | Your pages plus third-party ones: reviews, "best" lists, Reddit, YouTube, Wikipedia |
| Main tactics | Technical health, content that matches search intent, links | Short direct answers under question headings | SEO basics, crawler access for each AI engine, accurate mentions on the sources AI cites, tracking many runs |
| Typical tools | Google Search Console, Bing Webmaster Tools, Ahrefs, Semrush | The same SEO tools, which track snippets | AI visibility trackers, Search Console's generative AI report, Bing's AI Performance report, GA4's AI Assistant channel |
| Engines covered | Google, Bing and other search engines | Google, Bing and voice assistants | ChatGPT, Gemini, Perplexity, Claude, Copilot, AI Overviews, AI Mode |
The table makes them look further apart than they are. Most of the GEO column starts with the SEO column.
Where the terms came from
SEO needs no origin story. The newer terms each came from a different moment.
AEO came from featured snippets and voice search
The earliest independent record of "answer engine optimization" I found is a February 2018 Search Engine Watch article by Rebecca Sentance. It covered a Trustpilot webinar with Chee Lo and Jason Barnard about voice search, featured snippets and Google's Knowledge Graph. Barnard says he coined the term in 2017 and that a Trustpilot white paper on it was handed out at BrightonSEO in September 2017. That account is his own.
GEO came from a 2023 research paper
GEO is the only one of these terms with a traceable academic origin. Researchers from Princeton and IIT Delhi, among others, posted "GEO: Generative Engine Optimization" on arXiv on November 16, 2023, and it was published at KDD 2024. They wrote: "we introduce Generative Engine Optimization (GEO), the first novel paradigm to aid content creators in improving their content visibility in generative engine responses." I cover what it actually tested below.
What are LLMO, AIO and AI SEO?
Large language model optimization (LLMO) appears in an October 2023 Search Engine Land column by Olaf Kopp, as "large language model optimization (LLMO) or generative AI optimization (GAIO)". He doesn't claim to have coined it. People who say LLMO tend to include the model's training data, not only what it retrieves.
AIO has no clear origin, and in SEO trade press it more often means AI Overviews, so I avoid it. "AI SEO" is a catch-all. A Google ads executive wrote that "good SEO is good GEO" and listed "AI SEO, or whatever" among the other names.
My view: these labels describe the same work with different emphasis. Use whichever word your clients use.
What Google says about GEO and AEO
Google has been unusually direct. Its guide to optimizing for generative AI features, last updated July 10, 2026, says: "From Google Search's perspective, optimizing for generative AI search is optimizing for the search experience, and thus still SEO." It describes AI Overviews and AI Mode as "rooted in our core Search ranking and quality systems".
The AI features page adds: "There are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary." To appear as a supporting link, "a page must be indexed and eligible to be shown in Google Search with a snippet." Since August 31, 2026 there is one more condition: the site must be included under the Search generative AI control in Search Console. Included is the default, so this only matters if someone switched it off.
The optimization guide also says you don't need llms.txt or special markup, because "Google Search itself doesn't use them". Nor do you need to chunk content, rewrite pages for AI or seek "inauthentic 'mentions'". It warns: "Be wary of third-party tools that promise ranking success or claim to use 'internal' Google metrics. No third-party tool has access to our internal ranking or AI systems." That applies to my product as much as anyone's.
Google's staff say the same in public. At WordCamp US in August 2025, Danny Sullivan said "Good SEO is good GEO, or AEO, AIO, LLM SEO, or LMNOPO," according to the transcript in Search Engine Land. On cutting pages into bite-sized chunks for language models, he said in January 2026: "We don't want you to do that. We really don't." Gary Illyes reportedly told a Google event in July 2025, "You don't need GEO, LLMO or anything else," though that quote comes from an attendee, via Search Engine Roundtable, not a transcript.
Google's statements cover Google only
None of this speaks for ChatGPT or Perplexity. OpenAI's help article says ChatGPT rewrites a question into searches it sends to third-party providers, and the web search provider it links to is Microsoft. ChatGPT also has its own crawler, and OpenAI says sites that block OAI-SearchBot "will not be shown in ChatGPT search answers". Perplexity searches the web in real time with its own crawler. Neither company publishes ranking factors. OpenAI's page says only that ChatGPT looks for "relevant, reliable information" and that "Placement is not guaranteed."
So "GEO is just SEO" is true for AI Overviews and AI Mode by Google's own account. For the other engines it's mostly true, with two additions: each has its own access switches, and they appear to lean harder on what other sites say about you.
Even inside Google, being cited isn't the same as ranking. Ahrefs, which sells SEO tools, found in March 2026 that 37.1% of URLs cited in AI Overviews ranked in the organic top 10 for the same keyword, and 36.7% ranked outside the top 100. Its July 2025 study had found 76.1%, but Ahrefs changed its parsing method in between, so don't read the drop as a trend.
Where GEO really differs from SEO
The difference matters because buyers now ask AI. OpenAI says more than 1.2 billion people use ChatGPT each week. Pew found that 42% of US adults use AI chatbots to search for information. Here is what works differently once a model writes the answer.
You measure a rate across many runs, not a rank
Ask ChatGPT the same question twice and you may get two different lists. In a January 2026 study by SparkToro and Gumshoe.ai, 600 volunteers ran 12 prompts 2,961 times on ChatGPT, Claude and Google's AI. The chance of getting the same brand list twice in 100 runs was under 1 in 100, and about 1 in 1,000 for the same order. Presence was steadier: Bose, Sony, Sennheiser and Apple each appeared in 55 to 77% of 994 headphone answers.
Rand Fishkin's conclusion was that visibility percentage across many runs is "a reasonable metric", and "any tool that gives a 'ranking position in AI' is full of baloney." Gumshoe sells AI tracking, though the raw data is public.
Envoyra, another vendor in this market, asked 170 questions a week per assistant for four weeks in September and October 2026. Only 144 of 680 question and assistant pairs returned the same brand list all four weeks. An independent preprint by Sielinski found that "many apparent differences between domains fall within the noise floor."
So the number that means something in GEO is a share. Of 20 runs of "best CRM for a small agency" in ChatGPT, how many named you? One screenshot proves very little.
Third-party pages carry more weight for buying questions
In AI answers to buying questions, the answer often draws on what others wrote about you. A University of Toronto preprint from September 2025 found that for questions about well-known brands, 93.5% of the links ChatGPT cited were earned media and 6.5% were the brands' own pages. The authors contrast this with "Google's more balanced mix".
Page type follows intent. In a March 2026 study by Wix and Peec AI, both vendors, listicles made up 21.9% of more than a million citations overall and 40.86% for commercial prompts. Ahrefs found that YouTube mentions had the strongest correlation with brand mentions in AI answers, about 0.737. These are correlations. None of them shows that one more list placement will get you recommended.
You answer to several engines, not one
SEO for most teams means Google. GEO means at least five products with different retrieval, plus Claude and Copilot if your buyers use them. Each cites a different mix. In Profound's data, Wikipedia was 7.8% of ChatGPT's citations, while Reddit was 6.6% of Perplexity's. The mix also shifts fast: Semrush saw ChatGPT cite Reddit in close to 60% of responses in early August 2025 and about 10% by mid-September.
Access differs too. Blocking OAI-SearchBot keeps you out of ChatGPT search answers and leaves Google untouched. Google's Search Console switch does nothing for ChatGPT. And since ChatGPT draws on a Microsoft search provider, being indexed in Bing deserves a check.
Named, recommended and cited are different results
A ranking is one number. An AI answer can do three separate things for you: name your brand in a list of options, recommend you as the right choice for the buyer's situation, or cite a page you own as a source. These don't travel together. In an Ahrefs experiment across 9,886 answers, 43% of the answers that cited Ahrefs' own conference pages never mentioned the conference.
Track all three separately. A brand that's cited often but rarely recommended has a different problem from one that's recommended but never cited. I show how to turn those counts into shares in AI share of voice.
Clicks tell you less
SEO grew up on traffic. In AI answers, few people click. Pew measured that people clicked a link inside Google's AI summary on 1% of visits. Search Console's Generative AI performance report counts impressions in AI Overviews and AI Mode, with no click metric. GA4's AI Assistant channel counts visits from AI services, but visits that arrive without a referrer still land in Direct, so treat it as a floor.
What the GEO paper actually showed
Almost every GEO pitch quotes the paper's "up to 40%" visibility gain. It's worth knowing what that number measured.
What it tested
The authors built a set of 10,000 queries across 25 domains. For each query, gpt-3.5-turbo wrote an answer from the top 5 Google results. The authors rewrote one of those sources with each of nine methods, such as adding quotes, adding statistics or keyword stuffing, and measured how much of the answer drew on it. The scores were a position-weighted word count and a "subjective impression" judged by a language model. Neither score is "cited or not", traffic or sales.
On the test set, the unedited source scored 19.3 on the word-count measure. Quotation Addition scored 27.2, Statistics Addition 25.2 and Cite Sources 24.6. Keyword stuffing scored 17.7, below doing nothing. The authors describe the best methods as a 30 to 40% relative improvement.
Where the big gains came from
The prompts are in the project's public code. Statistics Addition tells GPT-3.5 to "Add positive, compelling statistics (even if hypothetical)". Quotation Addition says "Add more quotes in the source, even though fake and artificial." Cite Sources says "You may invent these sources but ensure they sound plausible".
So the headline result is that a 2023 summarizer gave more of its answer to text that looked evidence-heavy, even when the evidence was made up. It doesn't show that real statistics earn citations in the live ChatGPT. It gives no cover for adding numbers you can't source.
The effect depended on rank
Table 2 of the paper is the part most summaries skip. For sources ranked fifth in Google, Cite Sources raised visibility by 115.1%. For sources ranked first, the same method lowered it by 30.3%, and Quotation Addition and Statistics Addition lowered it by 22.9% and 20.6%. The authors' caption reads: "GEO is especially helpful for lower ranked websites."
Retrieval was also fixed to Google's top 5, so the study measured what the model did with sources it already had, not whether a page gets found. No live ChatGPT or Google AI feature was tested, and the Perplexity test used uploaded files rather than live search.
What this means for you: add real, sourced numbers and quotes from named people because readers trust them. Don't expect a 40% lift from doing it.
So what should a small team do?
Start with the work that serves Google and AI answers at once, then add the GEO-specific parts. My step-by-step guide to getting cited and recommended by ChatGPT goes deeper on each.
First, the work that helps in both
Make sure every engine can reach you. Check robots.txt and your CDN or firewall for Googlebot, Bingbot, OAI-SearchBot and PerplexityBot. GPTBot is OpenAI's training crawler and doesn't decide ChatGPT search. On Cloudflare, use "Disallow AI Training" if you want to refuse training: since September 15, 2026 its "Block" settings also cover Googlebot, Bingbot and Applebot, so they impact "search as well as training". The guide to AI crawlers and robots.txt has the tokens and example files.
Write the pages your buyers' questions need. That usually means pricing, comparisons with named competitors, alternatives, and who the product is for and not for. Put the answer in the first lines. In Kevin Indig's analysis of vendor data, 44.2% of ChatGPT citations came from the first 30% of a page, against 30% if spread evenly.
Write one good page per real question, not one per phrasing. Google's guide asks for "non-commodity content" with a "unique point of view", and treats mass-produced pages made "to manipulate rankings or generative AI responses" as scaled content abuse.
Use real evidence and date it honestly. Update a page when the facts change, not to refresh the date. A peer-reviewed 2025 study found that a fake "Published on" date alone moved passages up when language models reranked them. That's a manipulation, not a tactic.
Then, the work that's specific to AI answers
Pick 20 to 30 buyer questions and measure them across runs. Ask each question several times in each engine you care about, in a clean session, since OpenAI says ChatGPT may use saved memories when it rewrites your question. Record whether each answer names, recommends or cites you, and which competitors and URLs appear instead. Repeat on a schedule and watch the share, not single answers.
Work on the sources AI already cites. Your tracking will show the third-party pages that keep appearing: review sites, comparison articles, Reddit threads, YouTube videos, Wikipedia. Ask publishers to fix outdated facts, ask customers for reviews where reviews get cited, and answer in communities under your own name. Google's guide says chasing inauthentic mentions "isn't as helpful as it might seem".
Count AI traffic, knowing it's a floor. Alongside GA4 and Search Console, Bing's AI Performance report counts citations in Copilot and Bing's AI summaries.
What I'd skip
Skip llms.txt as a lever. Google Search ignores it, and Ahrefs found that 97% of 137,000 sites' files got no requests in May 2026. Skip chunking pages and invented statistics for the reasons above. I'd also skip "best" lists that rank yourself first. Lists draw citations in vendor data, but a citation doesn't guarantee a mention, let alone a recommendation.
Do you need a separate GEO agency or tool?
Probably not a separate agency. If someone on your team or your SEO agency does solid SEO, they already cover most of GEO. The new parts are measurement across engines and runs, and outreach to the third-party sites AI cites, which is closer to PR than to SEO.
A tool earns its place once manual tracking stops being practical: twenty questions, five engines and three runs each is 300 answers per check. If you hire an agency, ask how many runs per question they use, which engines they cover, and whether they report named, recommended and cited separately. Walk away from anyone who promises a position in ChatGPT.
The comparison of AI visibility tools lays out the options. InkieAI is one of them, and I make it. It checks ChatGPT, Gemini, Perplexity, Google AI Overviews and AI Mode for the buyer questions you choose, records whether each answer names, recommends or cites you, and turns the gaps into fixes: new content, edits to existing pages, website changes and outside sources to approach. It's new, run by one founder in Stockholm, and doesn't track Claude or Copilot. You can check what ChatGPT and the other four say about you with a free report on five questions.
Frequently asked questions
What does GEO stand for in AI search optimization?
GEO stands for generative engine optimization: the work of getting your brand named, recommended or cited in answers written by AI tools such as ChatGPT, Gemini, Perplexity and Google's AI Overviews. The term comes from a November 2023 research paper. In older marketing usage, "geo" means geographic targeting, which is unrelated.
Is AEO the same as GEO?
Mostly, today. AEO began around 2017 and 2018 as optimization for featured snippets and voice assistants, where one answer is shown or read out. GEO was coined in 2023 for AI-written answers. Most people now use both words for the same work.
Is GEO replacing SEO?
No. GEO builds on SEO. Google says optimizing for AI Overviews and AI Mode "is still SEO", and ChatGPT and Perplexity also find pages through search providers and their own crawlers. What GEO adds is measurement across many runs and engines, and more attention to third-party sources.
Is SEO dead now with AI?
No, it's changing. Google says AI Overviews have over 2.5 billion monthly users, and those answers are built on Google's search index. What changed in 2025 and 2026 is the click: Pew found people clicked a traditional result on 8% of Google visits with an AI summary, against 15% without. Ranking still matters, and being named in the answer matters more than it did.
Do I need a GEO agency?
Most small teams don't. With SEO basics in place, the new work is tracking AI answers across engines and earning accurate mentions on the sites those answers cite, which SEO or PR people can learn. Be wary of anyone who promises a position in ChatGPT, because nobody controls those answers.
Your next step
Take five questions your buyers ask before they choose, such as "best [your category] for [your customer]" or "[competitor] alternatives", and see what the AI engines say today. Note who gets named, who gets recommended and which pages get cited. That tells you whether your gap is SEO, crawler access or third-party sources. If you'd rather not do it by hand, the free InkieAI report runs five questions across ChatGPT, Gemini, Perplexity, AI Overviews and AI Mode, with no card needed.