The Answer Engine Work Your SEO Retainer Should Already Cover

If someone has quoted you for AEO as a separate line item, SEO vs AEO is really a purchasing question. It has a short answer.

That work is real and worth doing. It is also work your retainer should already be covering, because both run on one search index.

Reading the Generative AI report in Search Console for Shopify stores takes up part of most of my weeks now, and so does pricing the answer-engine quotes clients forward to me. I am John Butterworth, 11+ years in search, and I run the SEO retainers at Mint SEO in Manchester.

This is the reply I usually send back. What differs, what published referral figures say about funding it separately, and which lines to strike off before you sign.

What Separates AEO From SEO For An Ecommerce Store

Search engine optimisation earns a ranking position for a page. AEO earns a citation inside a generated answer. Those outcomes differ, and almost identical inputs produce them.

Read down the middle rows and you see one crawled page feeding both columns, with the same content, internal links and site architecture deciding both outcomes for a store that has done either job properly.

Because that overlap runs so deep, only the bottom two rows change what you would buy.

Where Retrieval Splits AEO From SEO

Retrieval is where the two diverge. Google describes grounding as "a technique (also known as grounding) used to improve the quality" of a generated answer, in its AI features and your website guidance.

A model gets handed material pulled from the index, then writes its answer from what it receives. Nothing in that step gives you a second door to knock on.

Measurement diverges more sharply than the work does. You can screenshot a ranking. A citation happens inside somebody's private chat window, so you only ever see it second-hand, in a report or in what a customer tells you.

The Inputs SEO And AEO Share

Google's position is unambiguous. Its guidance states that "optimizing for generative AI search is optimizing for the search experience". The company is describing one workload with two shop windows.

Danny Sullivan is Google's Search Liaison and writes for Google Search Central, which makes him the closest thing this industry has to an official translator. On a Search Off the Record episode, Search Engine Roundtable reported that Sullivan "feels that AI for SEO or GEO should be under SEO".

Read that as an org chart. One company operates both the index and the answer layer, and it has filed one inside the other, so a supplier selling them as separate disciplines is arguing with the scoreboard.

Search Engine Journal reached the same reading, headlining it as Google calling AEO and GEO still SEO. Between the guidance and the Liaison, the category question is settled and only the buying question is left.

Whether AEO Is Right For You, Or Already Part Of Your SEO

Settle SEO vs AEO with arithmetic before you sign anything, because SEO vs AEO is a spending question long before it is a technical one. Its two halves pull in opposite directions, and a quote will usually show you only one.

How Many Clicks Each Surface Sends

Similarweb tracks a clickstream panel of real browsing sessions, which makes it one of the few places you can watch how often each surface hands a visitor over to a website. Its zero-click analysis found that "AI Mode generates referrals at a rate of just 1.6-2.5% of queries, compared to Google's traditional referral rate of 17-19%".

Call that an eighth of the click volume per query.

Quality runs the other way, which is the half of the arithmetic a pitch deck will show you. Similarweb's separate Gen AI Landscape report, measured on US desktop transactional sites, found that "ChatGPT-referred visitors converted at 7% on transactional sites versus Google's 5%".

Position explains it. People arriving from an assistant have already had their question answered and their shortlist drawn. They meet your site further down the funnel.

Put those two halves together and the spending answer appears. Roughly 1.4 times the conversion rate, on about an eighth of the clicks, leaves near a fifth of the revenue per query. That last figure is what a second retainer would have to be funded from.

There is a second effect to price in here, and it lands on the pages you already rank well for. Ahrefs measured that the presence of an AI Overview in the results correlated with a 34.5% lower average clickthrough rate. The answer box taxes rankings you already hold, and what it sends back is the eighth-of-the-volume channel measured above.

Answer engine work still belongs in the plan. Buy it once, inside the programme you already run.

The Stores That Lose Enquiries First

A genuine exception exists, and it is narrower than the pitch decks suggest. Google reported at I/O that "one year after its debut, AI Mode has surpassed one billion monthly users", so this surface is large enough to matter even at a low referral rate.

Stores feeling it first sell things people ask about in sentences. Where buyers ask an assistant which product suits their situation before opening a search box, you see flat rankings alongside softening enquiries.

Check that before you act on it. Look for branded search rising while non-branded clicks flatten, and ask new customers where they first heard of you.

A marketer running SEO for Florida pool companies described exactly that pattern on r/SEO in July 2026. They then spent $4,200 with an agency selling AEO, and found four months later that the work delivered was "backlinks and meta descriptions" (u/Patricia_Morgana). They read the symptom correctly, then bought ordinary work under a new name.

What Changes In The Work, And What Google Says Does Not

Google's guidance amounts to a short list of what to change and a longer list of what to leave alone.

On the change side there are three: first-hand product detail, the spread of questions a page answers, and how ready your feed is for a buying agent.

Of the three that move, agentic readiness is the newest. Google's guidance notes that "Protocols like Universal Commerce Protocol (UCP) are emerging that will allow Search agents to do more", and for a store that means keeping prices, stock and delivery terms machine-readable and current so an agent can transact against them. That lands on your product feed.

First-Hand Detail Stops Being Optional

Here is the largest lever, and it is a content one. Google's guidance singles out material where "a first-hand review provides a unique perspective based on personal experience". It says content repeating what is already widely published "typically adds little unique insight for readers".

For a store that means testing your own products and writing down what you found. Sizing that runs small. Fabric that creased after a wash.

Detail like that resists reconstruction from every other page in the category, and a model assembling an answer reaches for exactly that kind of specific, first-hand line when it needs one.

Writing For A Fan-Out Of Related Queries

Google defines a query fan-out as "a set of concurrent, related queries generated by the model". One question from a shopper becomes several searches, and your page gets judged against all of them.

Coverage is the practical change here. A product page also answering the fitting question, the returns question and the comparison question gets pulled into more of those concurrent queries.

We treat it as a keyword mapping job, giving each neighbouring question to the page that should own it.

Whether To Publish An llms.txt File

Ahrefs went and measured it. Its llms.txt study analysed 137,000 domains and found that "97% of those files received zero traffic in May 2026. Nothing fetched them at all."

That measurement matches what Google says from the other side of the fence. Its guidance states plainly that "You don't need to create new machine readable files".

Where a quote lists llms.txt as a deliverable, that line buys a file nothing requests.

The reason is mundane. Crawlers were never built to look for it, so publishing one adds a document to your server that no retrieval system has any instruction to fetch.

Schema And Chunking For AI Answers

No AI schema exists to add. Google's guidance is explicit that "Structured data isn't required for generative AI search, and there's no special schema.org markup you need to add".

Chunking gets ruled out in the same document, which says "There's no requirement to break your content into tiny pieces for AI to better understand it". Keep the structured data earning your rich results, because that still works.

On buying mentions, this guidance warns that "seeking inauthentic 'mentions' across the web isn't as helpful as it might seem". Genuine editorial coverage you earn still counts.

Reading Whether AI Answers Mention You

Reporting has to change even though the work barely does. Skip the reporting change and you will apply everything above, open your usual dashboard, and conclude it failed.

The Reports That Show AI Citations

Start with a report you already own. Google's guidance points site owners to the "Generative AI performance report in Search Console", which shows impressions and clicks from its generative surfaces.

You will find it inside Google Search Console, reported directly with no inference about what happens inside the model.

Treat third-party AI visibility trackers as sampling, because sampling is what they do. This guidance is blunt about the alternative claim, stating that "No third-party tool has access to our internal ranking or AI systems".

Why Your Analytics Under-counts AI Referrals

Most of the payoff never becomes a session. Pew Research found that users meeting an AI summary clicked a traditional result in 8% of visits, so a majority of those answers end without a click going anywhere.

So you stop counting visits and start counting recommendations.

In the reporting I write for Shopify clients, the answer-engine line is judged on branded demand, assisted revenue and what new customers say when we ask them. Its own session count would always read as a failure.

Small does not mean worthless. Ahrefs found its own AI referrals tiny but potent, with 0.5% of visitors driving 12.1% of signups.

A referral line that small looks like failure on a traffic target and like a win on a revenue one. Pick the revenue one. We apply the same lens when mapping an ecommerce funnel to the step losing a sale.

Where Mint SEO Fits If You Want This Done Once, Properly

We run answer engine optimisation as one discipline inside the ecommerce SEO retainer, never as a second invoice. Agent readiness sits alongside it, under agentic commerce.

Retrieval work, first-hand content and reporting get planned together, so nobody is paid twice for one crawl.

That is the whole argument for buying it once. One index feeds both surfaces, so whoever improves your ecommerce landing page for a ranking also improves its odds of being cited. Across the accounts we run, that work has delivered 47,910 organic clicks, up 312%.

Wider context sits in how we approach ecommerce SEO strategy. Eleven published ecommerce migrations showed what really happens to organic traffic during a move.

Platform choice shifts your odds too, which we set out in the best shot at ranking.

If you are holding a quote and cannot tell which lines are real work, that is what a consultation is for, and settling SEO vs AEO for your own store takes about half an hour. Book a free 30-minute call with me and we will go through that quote line by line.