Marketing: AEO and GEO

Hulii

AEO and GEO for a market where the questions are asked in Norwegian

8collections restructured with redirects, keeping their search equity.
3schema types across the storefront: Product, FAQ, BlogPosting
llms.txtpublished so model readers can parse the store

The problem

Answer engines have far less Norwegian-language material to draw on than English. That is a disadvantage for the market and an opportunity for whoever publishes the clearest answer first.

What we built

  1. Question-led content in Norwegian, structured so each answer stands alone and can be quoted without its page.
  2. Product, FAQ and BlogPosting structured data across the storefront, plus an AboutPage-marked brand hub so the engines have something authoritative to resolve the retailer against.
  3. An llms.txt file describing the store for model readers.
  4. Eight collections restructured with 301 redirects, so the category layer matches how people actually search without losing the equity of the old URLs.
  5. A homepage FAQ block and footer trust signals, both machine readable rather than decorative.
  6. Storefront performance work, measured before and after on the same method.

Where the automation sits, and where it does not

The storefront is synced with the warehouse platform rather than maintained by hand, so stock and pricing stay true without a person in the loop. The writing is not automated: in a language with thin coverage, the differentiator is that a human who knows the category wrote the answer.

What we would not claim

No traffic, ranking or revenue figures. Those are the client's to release, not ours. The performance measurements were taken in a lab, not from field data, so we describe them as a lab result or not at all.

Work delivered July and August 2026, published with the client's sign-off.

Your turn

We set the baseline before the work starts.

That is the part that makes a number mean something a year later.