Answer engine optimisation for Shopify, without the acronym soup
AEO, GEO, LLM SEO and llms.txt arrived at once and mostly describe the same ambition with different letters. Here is what each one means and, more usefully, which of them changes anything for a Shopify merchant.
In short
- AEO, GEO and LLM SEO largely describe the same ambition with different letters.
- llms.txt is worth having and is not how Shopify products reach assistants; Shopify Catalog is.
- For a store the order is inclusion, complete product data, accurate availability, published policies.
The terms
Answer engine optimisation is making content usable by systems that answer rather than list. Generative engine optimisation is the same idea aimed at generated answers. LLM SEO is the same again. The distinctions are mostly marketing.
Where llms.txt fits
llms.txt is a proposed file describing your site for language models. It is worth having and it is not the mechanism by which Shopify products reach assistants. That mechanism is Shopify Catalog, which is populated from your product records regardless of any file you publish.
What actually moves the needle
For a Shopify store, in order: being included in the feed, having complete product data, having accurate availability, and having published policies. Everything else is downstream of those.
A test for any tool in this category
Given how much of this vocabulary is marketing, a filter is useful. Ask what a tool measures, and whether the measurement would survive being run twice on an unchanged catalog. Anything scored by a language model will drift between runs, which means its trend line is describing its own variance.
Ask, too, what it claims to know that nobody can know. There is no published ranking inside ChatGPT to read, so a position number is an inference presented as a measurement. The defensible version is how often you were named across a fixed set of questions. That is what Endcap reports, and it is deliberately less impressive than a rank.
What the acronym obscures for a store
Most AEO writing is aimed at publishers, where the unit is an article and the goal is to be quoted. A store is not in that position. Your unit is a product record in a feed with pass-or-fail requirements, and being quoted is not the outcome; being recommended and then bought is.
That difference changes the advice materially. Structuring content into question-and-answer blocks, the standard AEO recommendation, does very little for a product excluded from Shopify Catalog for having no price. The publisher playbook was not written with your failure mode in mind, and applying it wholesale means doing work that cannot reach the thing that is actually wrong.
Common questions
Is llms.txt required?
No. It is a proposed convention for describing a site to language models and it is not the route by which Shopify products reach assistants. Publish one if you like, but do not expect it to change product visibility.
Is AEO different from GEO?
Not meaningfully, and the distinctions are mostly marketing. Translate any advice in this vocabulary back into a mechanism before acting on it; if it does not survive the translation it was not advice.
Does this replace SEO?
No, it sits alongside it. The failure modes are different, which is the whole point of separating them.
Check your own store
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