Accurate product info: cards are written from the brand's own data

2026-10-18

Shoppers trust what they read on the card: "is it leather, what is inside, is it warm enough for winter?" must be answered correctly there. Commbot builds the card text from the information on the brand's own page and checks every AI-written text against it; claims without evidence never reach the card.

AI writes fluent text but sometimes adds features the product does not have: it may call a padded jacket "for winter" or a faux-leather boot "genuine leather". Shoppers trust the claim and buy; when the product turns out different, they return it or ask questions. In Commbot the source of card information is the brand itself: the AI only puts that information into Russian, and a check done in code rejects any claim that is not in the source.

Claims in an AI-written text checked against the card's own information
Every claim in the text is compared with the card's own information: what is in the composition stays; claims without evidence, such as winter, a temperature or goose down, are rejected and the text is rewritten.

How it works

  1. The brand's own information is used: the product description and the part-by-part composition (outer, lining, sole, insole and so on) are read from the brand's page and become the basis of the card text.
  2. No machine translation: the brand's Turkish description is given to the AI as is, and the AI writes the Russian text; word-by-word translation can distort the meaning and give shoppers wrong information.
  3. Claims without evidence are rejected (since October 19): if the text claims winter or frost, a temperature, goose down, genuine leather, natural fur, wool, cashmere, silk, cotton, linen or waterproofing, the card's own information is checked for it; if it is not there, the text is rejected and rewritten. "Winter" passes only if the card's season is winter; a temperature is never written.
  4. Three checks: every new description passes code rules, this claim check and a second AI review before it goes to Ozon. Hashtags carrying an unproven claim are dropped too.
  5. The fallback text is factual too: if the AI text does not pass the checks, a product with composition data gets a short, exact text made of the product name and its part-by-part composition.
  6. No Russian name, no upload (since October 15): if the translation service is temporarily unavailable, the card is not sent to Ozon with a Turkish name; the product stays a draft and is retried on the next run, so your daily card quota is not wasted.
3 checksbefore every new description goes to Ozon
14claim types checked in code (winter, temperature, down, leather, wool…)
Russiana card without a Russian name is not sent
A card with a Turkish name stops at the gate and waits as a draft; with a Russian name it goes to Ozon
If the Russian name cannot be produced, the card waits as a draft and is retried; once the Russian name is ready, it goes to Ozon.

What it affects

Since October 19: the claim check covers descriptions, hashtags and description changes made with Commbot AI. In stores managed with full automation, existing card texts were scanned once and only the unproven sentences and hashtags were removed.

Tips for better results

See Commbot on your own store In a demo call we review your store together; you decide whether to turn automation on after seeing the numbers.

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