Service
Search results increasingly answer the question instead of listing links. This is the work of making sure the answer is drawn from information about your business that is accurate, reachable and yours.
A growing share of questions get answered on the results page, and a business can be part of that answer or absent from it.
Somebody types a question, and instead of ten links they get a written answer with a handful of sources beside it. Google calls these AI Overviews and AI Mode. Assistants like ChatGPT do something similar when they reach the web. In each case a summary is assembled from pages the system was able to reach and understand, and a few of those pages get named.
For a small business, the practical consequence is simple to state and uncomfortable to sit with. If the assembled answer never draws on anything about you, you are not in the running for that question, no matter how good your website looks to a visitor who has already found it. And you may not notice, because nothing breaks. The page still loads. The traffic just quietly does not arrive.
This is a real shift and it is also less mysterious than it is usually made to sound. The material these systems summarise is retrieved from the same search index that produces the ordinary results underneath. That single fact decides most of what follows on this page.
Most people have never heard the term, so it is worth defining before it is used again.
Generative engine optimization, usually shortened to GEO, is the work of making a business's information easy for an answer-writing system to find, read, and correctly attribute. You will also see it called answer engine optimization, AI search optimization, or LLM optimization. The labels are not settled and nobody should read much into which one a provider prefers.
In practice it covers five things. Making the pages that hold your facts publicly reachable, so they are not locked behind a script or a form. Writing those facts as plain text that says who is responsible for them. Keeping the same facts consistent everywhere the business appears. Describing the business in structured data that matches what a visitor can see. And watching what the answer engines say about you over time.
There is no file you can upload and no markup you can add that makes a system cite you, and Google says so directly: no special schema and no new machine-readable format is required for its AI features.
Partly, and the qualified answer is the useful one.
It overlaps heavily. Google's own guidance for its AI features is that the established fundamentals still apply, so a site that is unreachable, thin, or inconsistent will fail at both jobs for the same reasons.
What differs is the question being asked. Ordinary search optimization asks whether your page can win a place in a list. This asks whether the facts about your business are good enough to be used inside somebody else's sentence, and whether the business is described consistently enough for a system to be confident it is the same business each time. That changes the emphasis: fewer pages built around a phrase, more attention to whether the underlying facts are complete, current and attributable.
In practice this work is bought alongside search work. On a site being rebuilt anyway it is mostly a matter of doing the build properly, and it does not need a separate line item.
Four stages, and the first one exists because you cannot improve what you have not measured.
A baseline, taken before anything changes: a fixed set of questions a customer might actually ask, run against the answer surfaces that matter, with the responses and the sources they named written down and dated. Without this there is nothing to compare against later, and the whole category becomes unfalsifiable. Usually one to two weeks.
Anything a customer needs to know that is only available inside an image, a slideshow, a script that runs after the page loads, or a document behind a form is invisible to a system that reads text. This stage moves those facts into plain page text and makes sure the pages holding them can actually be reached. It is the same technical work good search practice asks for, which is why the two are usually bought together.
One version of the business name, the services, the areas covered and the contact route, matching across the site, the structured data and the Google Business Profile. Structured data is used only where it describes something a visitor can see on the page. Markup describing something invisible is against policy and puts the site at risk.
The same questions, the same surfaces, compared against the dated baseline, with a log of every change made in between. This is the part that separates work from assertion. Google began rolling out generative performance reporting in Search Console during 2026, and where a site has access to it that becomes another input, but the manual baseline is what you can rely on regardless. Ongoing, reviewed monthly.
Documents and accounts in your name, and a record you could hand to somebody else.
The questions asked, the answers received, and the sources named, recorded before any change was made.
Every claim the business makes about itself, in one place, checked against what is actually true and current.
Facts moved out of images and scripts into readable text, on pages that can be reached.
What was altered and when, so a later shift in the answers can be lined up against something real.
They apply to anybody doing it.
A citation from an assistant is not something anybody can guarantee. Google is explicit that meeting every requirement does not guarantee that a page is crawled, stored or served, and the set of links shown alongside a generated answer varies by question and can change without notice.
A mention is also not a sale, and the two get conflated constantly. A mention, a link, a click, an engaged visit, an enquiry and a paying customer are six different events. They are counted separately here for the same reason a careful business counts quotes separately from jobs.
Finally, measurement in this area is partial. Reporting is uneven, sampling is limited, and results move for reasons outside anybody's control. What you get is a documented baseline, a list of the changes made, and a reading of what moved afterwards, with the parts that cannot be attributed left unattributed.
The first of these usually accounts for most of the difference.
These cost nothing and take an afternoon.
Ask an assistant the question a customer would ask, not the one you would ask. Something like who does this kind of work near this town. Not your own business name. Then read which businesses it names and where it says it got them. Your name may not appear. That is information about where you stand.
Then ask it directly about your business by name and read the answer carefully for things that are wrong. Outdated hours, a service you stopped offering, a town you no longer cover, a description that belongs to a different company with a similar name. Errors like these are usually traceable to something still published somewhere, and they are the most fixable problem on this page.
Look at your own site the way a text-reading system does. Turn off images in your browser, or simply read the page ignoring everything that is a picture. If the services, the areas covered, or the reasons to choose you disappear when the pictures do, then those facts are not really published.
Finally, write down five questions you would want to be part of the answer to, and keep them. That list is your baseline, and having it dated and written is most of what separates this work from an opinion about it.
The work is the same anywhere, and these are the areas covered locally.
The work of making a business's information easy for an answer-writing system to reach, read and attribute correctly. It covers readable facts, consistent business details, structured data that matches the visible page, and a measured baseline of what the answer engines currently say.
It overlaps heavily and Google says the same fundamentals apply. The difference is emphasis: search work asks whether a page can win a place in a list, this asks whether your facts are good enough to be used inside somebody else's answer and consistent enough to be recognised as one business.
No. Meeting every published requirement does not guarantee that a page is crawled, stored or served, and the sources shown beside a generated answer vary by question. What you get is the work and a dated record of what changed.
No. Google states that no special schema and no new machine-readable file is required for its AI features. Accurate structured data helps a system understand a page and is useful for that, but only where it describes something a visitor can see.
Often not. If the facts are readable and the site can be reached, this is largely checking, correcting and recording. A rebuild is warranted only when the important information is trapped in images or scripts, and that is a conclusion from looking.
Against a dated baseline of specific questions, re-run and compared, with a log of the changes made in between. Mentions, clicks, enquiries and sales are counted separately, and anything that cannot be attributed to the work is reported as unattributed.
Send the address of your site and the one question you would most want to be part of the answer to. The first useful thing is usually a baseline: what the assistants currently say, where they say they got it, and which of it is wrong.
