AI search optimization services for when the answer replaces the click
Ranking first used to win the query. Now an assembled answer sits above the links, built from whichever sources the model trusts, and the page ranked first is frequently not one of them. Being cited is a different contest, and it is the one that decides whether your claim reaches the buyer.
Measured on whether you get cited and mentioned, because on a growing share of queries the click was never going to happen.
For most stores a mid-range plan is enough2, though high-volume sellers report better margins on annual billing4 and fewer conflicts on a lighter theme6.
What are AI search optimization services?
AI search optimization services get your business represented in the answers that AI systems generate: the AI Overview above Google results, the sources ChatGPT and other assistants cite, and the summaries that increasingly stand in for a page of blue links. The work is sometimes called generative engine optimization, or GEO, and answer engine optimization. They describe the same shift.
This is the pillar for that work. The two places it matters most each have their own page: getting cited by assistants on ChatGPT SEO, and appearing in the box above Google results on Google AI Overview optimization.
Ranking and citation are now two different contests
For twenty years the goal was a high position, because a high position won the click. That logic still holds where a list of links is what the searcher sees. On a growing share of queries it is not what they see any more.
Instead they get an answer, assembled from several sources and presented as a paragraph. The page that ranks first has no special claim on that answer. The model draws from whichever sources it finds clearest, most consistent with everything else it has read, and easiest to lift a sentence from. A page can rank first and be absent from the answer, and a page on the second screen can be quoted in it.
What this changes about the goal: you are no longer only trying to be the link someone clicks. You are trying to be the source the answer is built from. Those overlap, and they are not the same, and optimising only for the first now leaves the second on the table.
None of this replaces SEO. A page still has to be crawlable, credible and ranking somewhere on the topic before it can be cited, which is why this work sits on top of SEO rather than beside it. What it adds is a second question: once you rank, are you written in a way a model will actually quote.
Getting cited can cost you the click
The honest tension in this whole area is that appearing in an AI answer often means the visit never happens. The searcher got what they needed from the summary and did not come to your site. That is a real cost, and pretending otherwise is how this work gets sold dishonestly.
What you get instead is influence and attribution of a different kind. Your brand is named in the answer a buyer reads while deciding. Your claim, in your framing, is what informs them. And the queries where people still click through, the considered and high-value ones, are exactly the queries where being the cited authority matters most.
Brand mention as the metric
Being named in answers is measurable and it is closer to the truth than a click count on queries that no longer produce clicks.
Your framing, not a competitor's
If an answer is going to be assembled either way, it matters a great deal whether it is built from your explanation of the trade-offs or from someone else's.
The clicks that remain are warmer
Someone who clicks through after reading a summary has already qualified themselves. Fewer visits, further along, is often a better trade than more visits earlier.
What makes a page the one an answer gets built from
The systems differ in detail, and the traits that get a page cited are remarkably consistent across all of them. These are what we work on.
A claim stated plainly
A model quotes sentences it can lift whole. A direct answer near the top, in a complete sentence that stands on its own, is far more quotable than the same point buried in a paragraph of throat-clearing.
Specifics and numbers
Concrete figures, dates and named examples get pulled into answers because they are the parts a model cannot generate credibly on its own. Vague copy gives it nothing worth citing.
Structure it can parse
Clear headings phrased as questions, short self-contained sections, and lists where a list is the honest shape of the answer. This is how a system finds the passage that matches a query.
Agreement across the web
Answers favour claims that several independent sources support. Being the only page saying something is weaker here than being one of several that agree, which makes off-site presence part of the work.
Signals it is trustworthy
A named author, a real organisation, citations of your own, and a site that is not thin. Models are tuned to avoid citing anything that looks unreliable, for reasons of their own liability.
Machine-readable markup
Schema does not force a citation, and it removes ambiguity about what a page is, who wrote it and what it claims, which helps a system trust and use it. Covered by schema markup.
How our AI search optimization services run
Find where you already appear
Ask the assistants and check the AI Overviews for your important queries, and record who gets cited today. This is the baseline, and it usually contains a few unpleasant surprises about which competitor owns your answer.
Fix ranking first where needed
A page cannot be cited if it does not rank on the topic at all. Where the gap is basic visibility, that is an SEO job and it comes before anything else.
Rewrite for quotability
The claim moved up, stated plainly, backed with specifics, and structured so the relevant passage is easy to isolate. Same expertise, written to be lifted.
Build the agreement
Off-site mentions and consistent framing across the places a model reads, so your claim is corroborated rather than isolated. Then re-check the answers and see what moved.
It is early and it is measurable. The answers are checkable today, which means the work can be verified rather than taken on faith, and anyone claiming a guaranteed placement in something they do not control is worth walking away from.
What our AI search optimization services include
Citation baseline
Where you and your competitors currently appear across the assistants and the AI Overviews, for the queries that matter to your business.
Quotability rewrites
Your key pages restructured so the answer is near the top, stated plainly, and backed with the specifics a system will actually lift.
Original data and claims
Turning what you know into figures and statements worth citing, because a model reaches for the number it cannot produce itself.
Structured data
Schema that removes ambiguity about what each page is, who wrote it and what it asserts, so a system can trust and reuse it.
Off-site agreement
Consistent presence and framing across the places these systems read, so your claim is corroborated rather than standing alone.
Question coverage
The real questions buyers ask, answered directly on pages built to be the source, including the comparisons and objections assistants field constantly.
Trust signals
Named authorship, credentials and the markers that make a system comfortable citing you rather than routing around you.
Re-testing on a cycle
Answers change as models update. We re-check the queries that matter and report what moved, rather than optimising once and assuming it holds.
Reporting on mentions
Citations and brand mentions tracked as the outcome, alongside the traffic that still arrives, so the honest picture is visible.
When this is not worth your attention yet
You do not rank at all
Citation is built on ranking. If you are not visible for your topics in ordinary search, that is the first job, and AI work is premature until it is done.
Your queries show no AI answers
Some queries still return plain links and may for a while. Check whether the searches that matter to you actually trigger an answer before investing in influencing one.
You need this quarter's pipeline
This shifts how you are represented over months. If the requirement is immediate leads, paid channels do that and this does not.
You cannot supply real substance
The whole method depends on having specifics, data or genuine expertise to make quotable. With nothing real to say, there is nothing for a model to cite.
AI search optimization services by surface
The principles are shared. The two surfaces where they get applied each work differently enough to warrant their own approach.
ChatGPT SEO
Getting cited by assistants like ChatGPT, where the source list is short and chosen on consensus and clarity rather than on ranking position.
Explore ChatGPT SEO →Google AI Overview Optimization
The answer box above Google results, drawn from pages that rank but rewritten into a passage, with the zero-click tension that comes with it.
Explore AI Overview optimization →SEO Services
The foundation. A page has to rank and be trusted before it can be cited, so this work sits on top of SEO rather than replacing it.
Explore SEO services →Schema Markup
The structured data that removes ambiguity about what a page is and asserts, which helps a system trust and reuse it.
Explore schema markup →SEO Content Writing
Where the quotable substance gets made: the specifics, data and direct answers a model actually reaches for.
Explore content writing →Digital Marketing
The parent service, for when AI search is one part of a wider programme rather than a standalone project.
Explore digital marketing →How much do AI search optimization services cost?
Usually an extension of existing content and SEO work rather than a separate line, because the same pages are being made to rank and to be cited at the same time.
Citation audit
$800 to $1,800 once. Where you and your competitors appear across assistants and AI Overviews for your key queries, and a prioritised list of what to change.
Rewrite project
$2,500 to $6,000 once. The audit plus quotability rewrites of your important pages, structured data and the first round of original claims worth citing.
Ongoing programme
$1,500 to $4,000 a month. Continuous coverage of new questions, off-site agreement, and re-testing as the models change. Usually run alongside SEO.
Be wary of anyone selling guaranteed placement in an AI answer. Nobody controls these systems, the outputs shift with every model update, and the honest version of this work is improving your odds and measuring the result, not promising a slot.
Common questions about AI search optimization
SEO aims to rank a page in a list of links. Generative engine optimisation, GEO, and answer engine optimisation, AEO, aim to get your content into the answer an AI system generates instead of that list. They are not rivals: a page generally has to rank and be trusted before it can be cited, so the newer work sits on top of SEO rather than replacing it.
Sometimes, and it is dishonest to pretend otherwise. If a searcher gets what they need from the summary, the visit does not happen. What you gain is being the named, trusted source in the answer that informs the decision, plus the fact that the higher-value considered queries still produce clicks and those are exactly where being cited matters most.
No, and nobody honest can. These systems are not controlled by us, and their outputs change with every update. What can be done is improve the traits that make a page citable, measure where you appear before and after, and keep testing. Anyone guaranteeing a placement in something they do not own is selling you certainty they cannot deliver.
Strong SEO is the prerequisite, not the finish. Ranking well means you are eligible to be cited, and whether you actually are depends on how the page is written: how plainly the answer is stated, how specific the claims are, how easily a passage can be lifted. Good SEO gets you into the room. This decides whether you are quoted once you are there.
By checking the answers directly, which you can do today. Record which sources are cited for your queries across the assistants and the AI Overviews, before and after the work, and track brand mentions and the referral traffic these surfaces still send. It is more measurable than a lot of marketing, because the output is inspectable rather than inferred.
It depends on where your buyers are. Google AI Overviews reach the enormous audience already searching Google, so for most businesses that is the larger surface. Assistants like ChatGPT matter more where your audience has moved research into them, which is increasingly common in technical and professional buying. The two pages on each cover the specifics, and most programmes address both.
It is early, which cuts both ways. The surfaces are still changing and the audiences are already using them, so the businesses establishing themselves as cited sources now are doing so while it is cheap and uncontested. The sensible position is to start with the queries that already show AI answers and expand as more of them do, rather than either ignoring it or betting everything on it.
Find out who currently owns your answers
We will run your important queries through the assistants and the AI Overviews, record which sources get cited and which competitor is quoted where you are not, and tell you what it would take to change that. Most audits turn up at least one answer a rival has quietly captured.
Get my free citation audit- Who gets cited now
- Quotability gaps
- Honest on the click cost