AEO vs GEO compared: two names, what each one actually measures, and which to put in a brief
Answer engine optimisation and generative engine optimisation are used interchangeably by most vendors and not by all of them. The difference matters in exactly one place, and it is the scope line of a contract.
Published by AI Knows Us · Updated 22 October 2026
AEO and GEO describe the same work in almost every brief you will read, and the vendors are not consistent with each other. If you are writing a scope of work, do not pick the fashionable acronym. Define the surfaces you want measured, and the acronym stops mattering.
What each term was coined to mean
AEO, answer engine optimisation. The older of the two. An answer engine is anything that returns an answer rather than a list of links, which has historically included featured snippets, voice assistants and now the AI apps. AEO is the work of being the source that answer is built from.
GEO, generative engine optimisation. Newer and narrower in its original sense. The generative engines are the models that write the answer: ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews and AI Mode. GEO is the work of being named and cited inside generated text.
On the strict reading, GEO is a subset of AEO. In practice almost nobody holds that line, because the commercial product is the same product.
How the market actually uses the two words, measured
We read the vendors on 21 October 2026 rather than guessing, and the usage is genuinely split.
Ahrefs puts the work under AEO on its own product page, ahrefs.com/brand-radar, with the line "Turn SEO into AEO", while the product itself tracks prompts across ChatGPT, AI Overviews, AI Mode, Gemini, Perplexity, Copilot and Claude. Semrush's news block uses the AEO framing too: semrush.com/news carries "Semrush, an Adobe Company, Named in Gartner Market Guide for Answer Engine Visibility Tools", dated 11 August 2026, and reports that Gartner "identifies Answer Engine Optimization as a baseline martech necessity". HubSpot ships the feature as "AEO (Beta) Answer engine optimization tools" inside its marketing hub, read at hubspot.com/products/marketing/marketing-automation.
The other half of the market picks GEO. Jasper advertises "GEO & AI Optimization" at jasper.ai, with the promise to "measure how your brand performs across every major AI answer engine", which uses both words in one sentence. Similarweb lists "GEO Tools" and "AEO Tools" as two separate navigation items at similarweb.com/corp/pricing, which is the clearest evidence that even one vendor can run both labels at once. SE Ranking avoids the choice and calls it an AI Search Toolkit at seranking.com/features.html, while naming the sub product "AEO Competitor Analysis".
And one agency has priced it. Hook Agency, at hookagency.com/pricing on 21 October 2026, sells "AEO" as a line item at $4,000 a month, or $2,000 added to an SEO package. When a trade agency puts a monthly number next to the acronym, the category has stopped being a debate.
The one place the distinction changes a decision
It changes the scope line. "We will do AEO" could mean five AI apps, or it could mean featured snippets and a voice assistant, and the two cost different amounts. So write the surfaces into the contract instead of the acronym:
Name the surfaces. ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, AI Mode, Copilot. Pick the ones your buyers use and say so.
Name the unit. Is the deliverable a mention rate across a fixed list of buyer questions, a citation count, a share of voice, or a sentiment reading? These are four different numbers.
Name who asks the question. This is the clause most briefs miss. A question that contains your brand name produces an answer that contains your brand name, and a report built from those questions reads as success whatever the truth is.
What we do, and where we sit on each label
AI Knows Us measures five surfaces: ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews. The real ChatGPT and Gemini apps are checked through a third party data provider, Perplexity through the official Perplexity Agent API, Claude through the official Anthropic API with live web search, and Google AI Overviews through a licensed search results provider. We use GEO as the primary label and we answer to AEO, because the buyer means the same thing.
Two rules sit behind every rate we publish. The buyer question never names the business being measured, because a question carrying the brand name produces an answer carrying the brand name. And every rate comes with a 95 percent Wilson interval, so a move that is inside the noise is reported as noise.
A credit is one buyer question put to one app once. A Claude check costs three credits, because the Anthropic API with live web search is the expensive one; most checks cost one.
Our own ladder is published in full at aiknowsus.com/llms.txt as plain text, so it is readable without running JavaScript. Read on 21 October 2026: SEO Start $149 a month with no buyer questions watched and a monthly demand harvest, Growth $299 with 100 buyer questions watched, 1,200 scheduled answers a month and five engines, SEO Scale $699, Scale $599 with 300 questions and 3,500 scheduled answers, Inbound $1,099 with 200 questions, Outbound $1,299 with 30 questions and four engines, Agency $1,299 with 80 questions and 12,300 credits, Everything $1,799 with 300 questions and 3,600 scheduled answers. A 1,000 credit top up is $49, and $149 is the published United States floor. Managed GEO is listed at Rs 88,499 to Rs 2,35,999 a month with a three month minimum, published in rupees only, so we quote it in rupees rather than converting it.
Our own pricing page carried a warning here that turned out to be wrong, so this is the correction, dated 21 October 2026. Fetched as a crawler that day, it served 24 dollar figures and 31 rupee figures together in the first response, and said on its own face that it is rendered on the server for every visitor and every crawler. The plain text file is the server rendered source for a dollar figure.
Three places where rivals publish more than we do, read on 21 October 2026. Ahrefs Brand Radar names seven surfaces to our five at ahrefs.com/brand-radar: ChatGPT, AI Overviews, AI Mode, Gemini, Perplexity, Copilot and Claude, and it publishes its per engine cost in words, "Claude consumes 8 checks per update", plus an overage rate of $0.020 a check. Rankscale names eight engines at rankscale.ai/pricing, including DeepSeek, Mistral and Copilot. Profound publishes "Up to 9 Answer Engines tracked" and "SSO/SAML + SOC 2 compliance" on its enterprise tier at tryprofound.com/pricing. Our rendered pricing text carries no single sign on, no white label, no SOC 2, no ISO and no data processing agreement, and every plan is one login with full access covering one business, except Agency.
On the criterion this page uses we rank ourselves first on one narrow, checkable item: of the vendors read on 21 October 2026, ours was the only product whose price and whose tier limits, the questions watched, the credits, the engines and the check cadence, were all readable in a server rendered plain text file, in three currencies. Peec AI publishes limits such as "50 prompts" and "Choose 3 models" at peec.ai/pricing with no price rendered in the first response. Profound and Similarweb publish no self serve price at all. Rankscale renders every numeric cell of its comparison matrix as 0, so a scrape of that table reports a product with no limits. Semrush publishes no price on its feature pages. That is a disclosure claim and nothing more.
If you want the third acronym in this family and how it relates to the other two, there is a separate page on what LLMO means and how it relates to GEO, AEO and SEO, and the agency side of the purchase is covered in how United States GEO agencies package the work. No other page on this site links to that second one, measured across the 2,017 of 2,082 live pages whose text we can read, on 21 October 2026.
What people ask about AEO and GEO
Which acronym should I use internally? Whichever one your tooling uses, so the dashboard and the deck agree. The surfaces list is the part that needs to be precise.
Is either one a replacement for SEO? No. The pages that get cited are very often the pages that rank, so the production work overlaps heavily. The measurement is what differs.
Does Gartner recognising AEO settle the naming? It settles which word enterprise procurement will use, which is a real effect on briefs and nothing more.
A short glossary for a brief
Mention rate. The share of readings in which your business was named. The honest version carries a confidence interval.
Citation. A domain the answer linked to or drew from. Being cited and being named are different events, and a vendor can score well on one and badly on the other.
Blind question. A buyer question that does not contain your brand name. Without this, every other number on the report is unreliable.