Skip to content
Palan

InsightsAI content

AI content for product pages

AI content for product pages scales specifications, variants and short explanation. It fails when every SKU gets the same poetry.

Unique is not 'creative'. Unique is what makes this product different for this search question.

What goes wrong with AI product copy?

Duplication: a thousand pages with the same adjectives. Hallucination: features that are not in the feed. A tone that sounds like a catalogue, not like an answer.

Palan ties the draft to the product feed and to the search intent per template. Without those two anchors, scale is noise for Google and for the buyer.

How do you scale thousands of pages without the noise?

One template per product type, with required fields from the feed. AI fills them. People review the template, not every SKU by hand — except the questions with the most demand.

Then: internal links to explanation, not twelve synonyms for the same thing. Palan treats product content as a system, not a blog factory.

How do you make AI content for product pages?

You make AI content for product pages by filling drafts from the product feed, in a template per type, with a check on facts and duplication. Palan scales what repeats and keeps people on brand direction and the exceptions. Without the feed as the source, AI is guesswork at scale.

A system, not a pile

  1. 01Cluster products by type and search intent.
  2. 02Build a template with required feed fields.
  3. 03Let AI write drafts inside that template.
  4. 04Sample, and run automatic checks for empty, duplicate and forbidden claims.
  5. 05Edit by hand the pages that carry the largest demand.

Further reading

Frequently asked questions

Can we publish every SKU fully unattended?

Not if you take claims, price rules or brand voice seriously. Palan automates the repetition and keeps a sample plus a block on missing fields. Fully unattended is how duplicates and errors go live.

Does this fix thin content?

Only if the page finishes a question: the difference, the use, the specification that matters. AI that adds 80 words of atmosphere does not make the page thicker in the sense that counts. Palan writes the block that carries the search question.

Does this work for B2B catalogues too?

Yes, often more sharply: configurations, compliance, applications. The feed has to hold those fields. Palan starts with which question the product page must answer, not with a generic shop prompt.

Contact

A project involving strategy, video or AI?

Contact