Query fanout for ecommerce categories: map questions, facets and pages
Use fanout questions as a starting point for a page map. Categories support selection, guides support decisions, product pages retain variant facts and filters narrow the list. Our worked example maps eight editorial questions and identifies evidence gaps and unresolved URL decisions.
Use this for assortments with properties readers need to understand. The exercise is a fictional storage-box shop, not a customer or ranking study.
Start with a specific research questionChoose one short topic. Keep native API observations and modelled ideas distinct in the resulting brief.Open the free fanout toolAssign eight questions by task rather than wording
Our fictional shop sells storage boxes. Its existing /storage-boxes category should explain selection. The CSV contains eight original editorial questions with reader task, page role, fictional target, facet, required source, evidence state and URL decision. Those target paths belong to the exercise; they are not shop pages on ai-fanout.com.
Available boxes belong on the category page. Choosing a box for a narrow shelf requires a size decision and goes to a buying guide. Volume and colour support filtering. An exact model dimension belongs in product-variant facts. A second question about the same fit decision is merged into the first.
These questions are neither measured search volumes nor recorded provider output. They illustrate an editorial assignment you must review against your own inventory, assortment and demand evidence. reason explains why a filter gets no automatic landing page and a wording variant gets no second guide.
For the next step, use the completed clustering exercise.
A manufacturer dimension does not settle a fit question
For one bounded real source, we reviewed IKEA Germany's SAMLA page for article 801.029.76 on 10 October 2026. It states 39 × 28 × 28 cm and 22 litres. The worksheet retains that manufacturer fact with URL and date. We did not measure the box or transfer those dimensions to every 22-litre product.
For the next step, use the claim/source audit.
That does not establish whether a particular object fits inside. Interior dimensions, usable opening and possibly a physical fit test are still missing. Nor does a general box price replace variant review. The exercise leaves these questions open rather than deriving a complete buying answer from one manufacturer fact.
For lids and stacking, the map requests conditions for the exact selected product. The reviewed IKEA page describes a separately available lid; that does not establish the contents of every other variant in the fictional assortment. A particular load capacity or safe combination needs appropriate manufacturer evidence. Retain model, variant and supported claim together.
Review filter URLs deliberately and maintain the buying guide
Volume and colour are useful filters. They do not imply an indexable page for every combination. Google's documentation warns about large facet URL spaces causing unnecessary crawling. First decide which filter destinations should serve a distinct search need and which are only interface controls.
The map assigns no_automatic_page to the volume/colour combination. This is a planning decision, not finished robots configuration. Google's guide discusses controlling unnecessary filter URLs and returning genuine 404 responses for empty or invalid combinations. Canonical alone does not establish that unnecessary crawling is prevented. Verify the implementation in the actual shop platform.
The size guide gets its own assignment only if supported data help with a decision distinct from category selection. Link to relevant categories and product facts; the category can reference it where sizing matters. Remove invented measurements and update variant evidence when the assortment changes.
For the next step, use the editable page brief.
After publishing, review URL behaviour, internal reachability and demand separately. An editorial map is not proof of indexing or rankings. Retain rejected questions and merges with their reasons so the next assortment change does not recreate competing pages.
For the next step, use the Search Console demand review.
Common questions
These short answers cover recurring questions from tool use and source review. They are not claimed search-volume data.
- Should every filter combination be indexable?
- A destination needs a useful distinct search task. A useful filtering control alone does not justify a new search landing page.
- Are the storage-box questions real search data?
- They are original editorial teaching questions. Only the specifically identified manufacturer fact has external evidence; demand, fit and customer impact were not measured.
Sources used
These sources support the functions and limits described here. They do not prove claims beyond that scope.
- Original product brief and shop question-to-page mapOpen source
Fictional two-person software buyer and storage-box assortment. Actual primary facts stay dated and bounded; tasks, paths and page assignments are editorial. No product hands-on test, cost winner, customer results or demand evidence.
- Google: managing faceted navigation URLsOpen source
Facet URL crawling considerations and empty/invalid combinations. Our map is editorial planning, not tested configuration of a customer store.
- IKEA Germany SAMLA 801.029.76 manufacturer factsOpen source
Named product dimensions 39×28×28 cm and capacity 22 litres; separately available lid. No own measurement, interior fit or general assortment claim.