Answer: Answer engine optimization means getting your business named when a customer asks ChatGPT who to use. The old job was winning a click from Google's links; this one is being the answer. Google says there is nothing new to build for its AI answers (Source: Google Search documentation, 2026). Ask ChatGPT who to hire in your trade and town.
The name is new. The job underneath it is the old one: be the business that gets found. What changed is where the finding happens, and how little of it a person ever sees. Every number below comes from a named study with its date on it. The section on what carries over is the part an owner can act on.
What does answer engine optimization actually mean?
It means working to get your business named inside the answer an AI chat app gives, instead of in a list of links. Someone asks ChatGPT for a plumber in Leeds. It writes back a few sentences naming two or three firms. The whole job is to be one of those names.
The phrase gets written several ways, and the people selling it rarely agree on one. The thing being described is always the same: a person asks, an AI app answers, and a handful of businesses get named while everyone else does not. No new jargon changes that.
How is it different from SEO?
SEO is the old work of getting your website into Google's list of links, so people click through to you. This new work goes after the answer at the top instead, where there may be no click at all. That is the whole difference, and it is a big one.
The gap shows up in the numbers. In the first four months of 2026, 68.01% of Google searches in the US ended without a single click on anything (Source: SparkToro, 2026). When Google puts an AI answer at the top, that drop is sharper still: people who saw one clicked a normal search result in 8% of visits, against 15% for people who did not. That reading came from 900 US adults who let a research team record 68,879 of their searches (Source: Pew Research Center, 2025).
Read those two numbers together and the point is plain. Winning the link matters less when fewer people ever press it. Being named in the answer is the part that still reaches a buyer.
Do people ask an AI chat app the way they type into Google?
No, and the gap is wide. ChatGPT answers in one of two ways. It can look things up on the web as it goes, or answer from what it already learned. Semrush, a search data company, read 80 million lines of records kept by people who agreed to share what they typed and visited, in the second half of 2024. Questions asked without the web lookup ran 23 words long. With the lookup on, they ran 4.2 words, about the length of a typed Google search (Source: Semrush, 2025).
So the words people use are longer, and more like speech. That is why question research for AI answers starts from whole questions a customer would say out loud, not from two word search terms.
There is a second finding in the same panel that matters more than it looks. By February 2026, ChatGPT was switching its web search on for only 34.5% of questions, down from 46% in late 2024. For the rest, the answer came from what the model had already learned, with no fresh look at anybody's website. That reading came from more than a billion lines of US browsing records collected between October 2024 and February 2026 (Source: Semrush, 2026). Being known on the wider web, not just tidy on your own site, is doing a lot of the work.
Can you track a position in an AI answer the way you track a Google ranking?
No. There is no steady place in an AI answer to track, the way a website has a place in Google's list. About 600 ordinary people volunteered for a study. They put 12 questions to ChatGPT, Claude, and Google's AI answers in search, and copied back every reply. That came to 2,961 separate asks. In any two answers to the same question, the chance of the same list of brands was under 1 in 100 (Source: SparkToro, 2026).
Getting the same names back in the same order was rarer still, closer to 1 in 1,000. The person who ran that study put it bluntly: any tool that gives a "ranking position in AI" is "full of baloney". He did accept that counting how often a brand comes up, across many questions run many times, is a fair measure.
That is the honest shape of the job, then. Not a rank. A count of how often a business gets named across a fixed list of buyer questions, with the date beside it, because the answer moves from one ask to the next.
What carries over from SEO, and what does not?
Most of it carries over, and Google names the work. Its page for business owners says the ordinary search habits still count. Put the words a customer needs on the page as text. Keep your Google Business Profile up to date. Let people reach your pages through links on your own site (Source: Google Search documentation, 2026). Nothing on that list is new.
The same page kills the idea that something new has to be bolted on. "There are no additional requirements" for appearing in its AI answers, it says, and no special work of that kind is necessary. It also says you do not need to create new machine readable files, AI text files, or markup, which are all labels for code written for computers rather than for people (Source: Google Search documentation, 2026).
What does appear to move the needle is wording. One team ran 252,000 head to head trials across six AI models, showing each model two pages that differed in exactly one way. The page that matched the words in the question won most often, and showing a price or a recent date helped consistently. Changes to formatting alone did almost nothing (Source: Vishwakarma, Kumar, and Jamidar, 2026). Both pages in that test were already in front of the model, so it tells you which page an answer leans on, not how a page gets picked up in the first place.
What can nobody promise you?
A spot in the answer, or a position inside it. There is no form to fill in and no fee that buys a place. Google's own page for business owners with a website says there are no extra requirements to meet (Source: Google Search documentation, 2026). Anyone selling a promised place in an AI answer is selling smoke.
A single check proves little either. The same question returned the same list of brands under 1 in 100 times in the study above, so one answer on one day is not evidence about your business, in either direction. Anything honest in this field is a count over many asks, with the date on it.
Where does that leave a business owner?
The name is noise. The question underneath it is real: when a customer asks an AI app who to use, does your business get named. That is the thing AI Says Who measures. We ask the questions your customers really use, several times each, on the four biggest AI chat apps, ChatGPT, Perplexity, Gemini, and Claude, and we count how often your business comes up. The question list and the date sit beside the count. Gemini is asked with no live web search, so it shows what it already knows about your business rather than what it could look up today, and it never shows a link. The first check is free, and the button below starts it.
Free. No card, no call.