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Category SEO across multiple brands: what it is and what it delivers

Category copy that matches what is in the collection today, in every language you sell in. What category SEO across multiple brands actually involves, what your team does, and what it delivers.

Max de SmitBy Max de Smit
seoproduct-dataautomationdata-qualitysmb-retail

A store with eighty brands has hundreds of landing pages. Every brand page, every category and every combination of the two.

Category SEO is the work of giving those pages copy that matches what is actually in them today. Here is what that involves and what it delivers.

What it is

Each category page gets three things: an SEO title, a meta description and the copy on the page itself. Per language.

Not once, but again when the collection changes. The copy is an output of your catalog rather than a separate document sitting next to it and quietly going out of date.

Where the copy comes from

Three sources, and all three are needed.

The editorial brief per category: the angle, the brands that belong in it, the questions customers ask. Your own SEO agency can deliver it as a spreadsheet and it is imported as is.

The catalog facts: which products, brands and subcategories are actually in it right now.

Your store's format document: structure, length, linking rules and banned words, with its own version per language.

How you run it with AI in Automated Commerce

The agent does not write in isolation from your store. It receives the brief, the catalog facts and the format as input, and returns a proposal per category and per language.

  1. Import the briefs. Your SEO agency's sheet is turned into one brief per category inside the system.
  2. Set the format. Structure, length, linking rules and banned words, with its own version per language.
  3. Pick the categories and the languages and start the run. Up to five languages per run.
  4. The agent writes, and checks every text against the format's checklist before staging it.
  5. You approve on the board. Only then does the copy reach the collection and move on to Shopify.

What the AI does not do here matters just as much: it invents no brands, no categories and no product attributes. If a fact is not in your catalog or in the brief, it does not appear in the copy.

What comes out per category

Copy with a fixed structure, written per language rather than translated afterwards. That keeps one market's house terms out of another market's pages.

Every brand and every neighbouring category the copy names is linked to a collection that actually exists. A category you do not carry is never named.

At the bottom sit the questions from the brief, answered on the page itself.

What it delivers

For whoever owns the store, it comes down to five things.

  • Category copy that matches what is in the collection today, including after a season change.
  • Internal links between your brand and category pages without anyone placing them by hand.
  • The same structure and tone in every language you sell in.
  • Customer questions answered on the category page instead of in the chat.
  • At PL Line, a 60% reduction in content creation costs.

What it asks of your team

One brief per category and one review round. That is the whole ask.

Everything lands as a draft on a board. You review it per category and approve. Nothing reaches your store without approval. Your SEO agency can hold the same rights and review directly in the platform.

Feedback is applied as a rule in the format document rather than a one-off correction. That makes the second round shorter than the first, and the third shorter than the second.

What it looks like in practice

PL Line, a multi-brand store in Maastricht, carries 82 brands across 259 collections. The briefs came from their own SEO agency, the copy was written per category in four languages, and the agency approved it in the platform.

After the first round the agency sent notes: opening sentences read too much alike and named categories were not linked. Those became rules, and the whole set was written again. The same pattern runs at POSA Studio and NoLabel.

Count it on your own store. How many category texts were written before the last collection change? And how many name a brand without linking to it?

Frequently asked questions

Start from an editorial brief per category: the angle, the brands it covers and the questions customers ask. Combine that with live catalog facts so the copy matches what is in the category today. One house format then governs structure, linking and banned words.
Manually a writer produces roughly fifty category texts a week, per language. Working from briefs and catalog data, a full set generates per category and per language in one run and stages for review. Your time goes into the brief and the review, not the typing.
They work when each text is grounded in real catalog facts and links to collections that exist. Thin or repetitive category copy hurts rankings, which is why the format bans reused opening sentences and requires every named brand or subcategory to link somewhere real.
One content format document per store defines structure, linking rules and banned words, with a separate version per language. Each category is written per language rather than translated afterwards, so one market's house terms do not leak into another market's copy.
Yes, and the agency gets more leverage. They write the brief per category and review the output, and their feedback is applied as a rule in the format instead of a one-off edit. At PL Line the agency works directly in the platform with approval rights.
ChatGPT writes one text with no view of your catalog. Here the writer is connected to your collections, so it knows which brands sit in a category today, links only to collections that exist, and stages everything for approval before anything reaches your store.

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Category SEO across multiple brands: what it is and what it delivers - Automated Commerce