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gitogi
AI for product descriptions

Turn product specifications into product descriptions

How we turn catalogue data into content

The problems to solve

Your catalogue grows, but descriptions fall behind

Rewriting every draft wipes out the savings

Product data changes, but descriptions stay the same

What we build

Descriptions based on approved data

Review before publication

Updates linked to your ERP

Italian and English from the same data

What we do not do

We are not a content agency

No publication without human approval

We do not produce pages just to rank

The work your team still needs to do

Reading and approving the content

Filling the gaps in the data

Setting the tone and the boundaries

How to assess whether the project pays off

  • How many product pages are incomplete or have not been updated for more than a year?
  • How long does it currently take to write or update a product description, from request to publication?
  • On average, how many corrections does a draft need before it is approved?
  • How long does it take for a change in your ERP data to reach the published product description?
  • How many hours a month does your team spend approving descriptions and filling gaps in the source data?

Facts and sources

Google Search Central — Google Search and AI-generated contentconsulted on 2026-09-20
Commissione europea — AI Act, articolo 50consulted on 2026-09-20

Questions we often hear

Does Google penalise AI-generated product descriptions?
Do you have to disclose that descriptions are AI-generated?
Can the AI invent product features?
Why choose a software project over an off-the-shelf tool?
Can it connect to Odoo and an online shop?
Who owns the content?
How much review work is left?

Send us ten product records