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With AI source text optimization, you can generate missing content or improve existing content using AI before translating the product.

Important: this feature works with the source texts (e.g., in Czech). Unlike AI translation improvement, which improves the quality of translated texts, AI source text optimization improves the original — which then translates better into all languages.

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Why we approach product texts differently today 🔍

Product descriptions are no longer “just text” for customers on the product page.

They are becoming a key input for AI systems — search engines, shopping assistants, and recommendation algorithms.

These systems:

• summarize store content,
• answer customer questions,
• and decide which products are shown or recommended.

They work differently than humans.

AI doesn’t look for marketing phrases — it needs clear, structured, unambiguous facts, especially:

• what the product is,
• who it is for (target use case),
• when it makes sense to recommend it,
• and when it doesn’t (limitations, compatibility, unsuitable scenarios).

If this information is missing or unclear, AI can’t interpret it correctly — which can lead to:

• lower product visibility,
• less relevant recommendations,
• weaker answers from AI assistants.

What AI source text optimization can do