TL;DR: A done-for-you AEO service means an agency does the citation claiming, the content and the measurement, and you approve rather than execute. It suits businesses with no marketing hire and no appetite to become an expert in something that did not exist three years ago.
It is a phrase people search for constantly and almost nobody defines. Here is a plain account of what it includes, what it does not, what it costs, and how to tell a real one from a content retainer with new vocabulary on the front.
What is actually in it
Three pieces of work, in roughly this order of value.
1. Citation and listing work
Claiming, completing and correcting the sources answer engines read in your category.
This is the least interesting part of the job and usually the part that moves the number, because it is the evidence a model uses to decide a business is real. We hold citation-source data across 27 industries, and the sources that carry weight are different in every one. Healthcare runs on insurer directories and licensing bodies. Legal runs on a handful of long-established directories. Home services runs on review aggregates.
Most businesses are missing from several of these and have incorrect details on several more.
2. Content built to be quoted
Not content built to rank.
A page that gets quoted contains a passage that answers one question cleanly enough to lift out of the page and drop into an answer. That is a different shape from a page optimized for a keyword, and most existing site content is the second shape.
The practical difference: a keyword page circles a topic for 2,000 words. A quotable page answers the question in the first two sentences under a heading that matches how someone asked it, then supports it.
3. Measurement, per prompt
The specific questions your buyers ask, run against the answer engines, tracked over time.
Not a traffic chart. Traffic is a poor proxy here because AI search frequently produces no click at all. Someone hears your name, remembers it, and arrives a week later through a direct search.
The part most people underestimate
We measured 608 AI answers to real buying questions across five engines, then traced every one back to the sources cited to produce it.
“We've always grown through referrals - builders who know us pass our name on. That works, but it only reaches people who already know someone in the industry. Within a couple of weeks of the content going live, we had someone contact us directly through the website. That's a channel we didn't have before - and the enquiries have kept coming.
The most-cited source in the whole category is a community site, ahead of every vendor's own website including the vendors who get named most.
That reshapes what "done for you" should mean. A service that only publishes on your domain is doing the half of the work that is easiest to scope and invoice. The half that decides the answer happens on sources you do not own, and it is the part you are least able to do yourself.
Ask which sources outside your website they will work on, and in what order. A specific answer naming registers, directories and communities in your category means they have done this. A generic answer about "authority building" means you are buying a content retainer.
What is not in it, whatever anyone implies
Nobody can make an assistant recommend you. There is no submission, no ranking factor to tune, no relationship with OpenAI that helps.
What an agency can do is change what the models read, then measure whether the answers change. Any service that describes it differently is describing something that does not exist.
It also does not include getting mentioned by other people, at least not directly. That is earned. An agency can create the reason for it, through original data, a genuinely useful resource, or an outreach program, but cannot manufacture it.
Who it suits
Businesses with nobody to own it. This is the main case. AI search work is not difficult so much as fiddly and continuous, and the failure mode for a small business is not doing it badly, it is starting and then stopping in week three because something urgent happened.
Businesses where buyers research before they buy. Professional services, considered B2B purchases, anything with a shortlist.
Businesses that have already tried a tool. Plenty of people buy monitoring, learn they are invisible, and discover that knowing was never the hard part.
Businesses that need to move quickly. Because the citation work is front-loaded, the early weeks are where most of the movement happens.
What it costs
Very few agencies publish, which makes this hard to research honestly.
What is documented: independent sources place First Page Sage in the $8,000 to $20,000+ per month range as of 2026, and iPullRank does not publish pricing at all, with Clutch listing a minimum project size of $50,000+. Published figures elsewhere in the category are often inconsistent between an agency's own pages, so confirm any number directly rather than trusting a comparison article, including this one.
Below the enterprise tier, most done-for-you work for small and mid-sized businesses sits between $2,000 and $8,000 a month. There is also a real one-off tier, a fixed-scope audit or sprint, that tells you where you stand without an ongoing commitment. If you are unsure whether any of this is worth it, that is the sensible first purchase.
What it looks like when it works
PROCERT is a building certification firm in New South Wales that had grown entirely on referrals. Referrals work, but they only reach people who already know someone in the industry. Within a couple of weeks of the content going live, someone who had never met them inquired directly through the website, and the inquiries kept coming.
Fur Magic's customers were asking ChatGPT and Gemini for recommendations in their exact category, and Fur Magic was not in the conversation. Three weeks later they were the most-cited brand in the space.
Both are published with the starting number, the end number and the period: PROCERT and Fur Magic.
The four questions worth asking any provider
- Show me a prompt-level report from a real client. Not a traffic chart. Redacted is fine.
- Do you separate being cited as a source from being named as a recommendation? They have different causes and need close to opposite work.
- Which citation sources matter in my category, and why those? The answer should be specific and slightly surprising.
- How will you show me movement in month one? A baseline in week one, then weekly deltas, means you are never guessing.
A first ninety days, itemised
What done-for-you actually looks like week by week, from a real engagement shape.
Weeks one and two. Twenty buyer questions agreed with the client, baseline measured across five engines logged out, source audit produced. Output: a list of eleven sources their category runs on, seven of which they are absent from or wrong on.
Weeks three to six. All eleven claimed, completed or corrected. This is the least interesting two-week period of the engagement and usually the one that moves the number first, because the models re-read those sources frequently.
Weeks six to ten. Four pages published, one per high-value question, each answering in the first two sentences. Two external pitches sent.
Weeks ten to thirteen. Two more pages, one external placement live, first re-measurement against baseline shared in the portal.
What the client did. Approved a question list, answered four subject-matter questions, approved six pages. About ninety minutes in total across the quarter.
That last line is the actual product. If it is not true of the arrangement you are buying, it is not done-for-you.
See where you stand first
We will run your real buying questions across all five engines and show you which name you, which name a competitor, and which sources decided it. That is the diagnosis, before any conversation about a retainer.
See which questions name you
A free AI visibility audit on your own buying questions, across all five answer engines.
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Ashur Homa
Built and scaled a digital brand to $100M+ in sales with zero ad spend. Has helped businesses generate millions through AI go-to-market strategy. Leads growth at Omni Eclipse.
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