AI for product descriptions and translation

Writing good product descriptions is slow. Writing them in four languages is slower. Large language models can now draft descriptions, meta titles and translations in seconds, and used well, they free up hours for photography, sourcing and customer service. Used carelessly, they fill a store with generic text, invented specifications and awkward translations that hurt both trust and search visibility. This guide sets out a workflow that gets the speed without the risks.

What AI does well, and what it does not

It helps to be clear about the strengths and weaknesses before you start.

The most serious risk is invention. A model asked to describe a product it knows little about may produce plausible but wrong details: a material, a certification, a compatibility claim. In e-commerce, a wrong specification leads to returns, complaints and in some categories legal trouble. Your workflow has to make invention unlikely and easy to catch.

Prepare good inputs

The quality of the output depends almost entirely on what you provide. Before generating anything, make sure each product has structured data filled in:

• Product name, brand and category
• Key specifications: dimensions, weight, materials, capacity, compatibility
• Variants: colours, sizes, pack quantities
• Who it is for and the main use cases
• What is in the box
• Care, safety or usage notes from the manufacturer
• Anything that makes your offer different, such as local stock or a longer warranty

Then write a short brand brief once and reuse it for every product: your tone (friendly, technical, premium), words to avoid, how you address the customer, and preferred length. A brief like "Write for hobbyists who know the basics. Be specific, avoid superlatives, use metric units, keep to 120 to 180 words" makes a large difference.

Generate descriptions step by step

A reliable process for each product or batch:

1. Generate from facts only. Instruct the model to use only the information provided and to leave out anything it is unsure about.
2. Ask for a fixed structure: an opening sentence on what the product is and who it is for, two or three benefit paragraphs tied to specific features, then a short specification summary.
3. Generate SEO fields separately: a meta title within about 60 characters and a meta description of roughly 140 to 160 characters, both written for a person reading search results, not stuffed with keywords.
4. Review against the checklist below before saving.
5. Add the human part: a tip from your own experience, a common question you get from customers, or a note on what the product is not suitable for. This is what makes your page different from every other seller of the same item.

The review checklist

• Every number, unit and material matches the specification.
• No claims you cannot support: "best", "certified", "waterproof", "safe for children", health or environmental claims.
• Brand and product names are spelled exactly as the manufacturer spells them.
• No generic filler such as "elevate your experience" or "perfect for everyone".
• The text answers the questions customers actually ask you.
• The description does not contradict your shipping or returns information.

A translation workflow that holds up

AI translation is much better than it was a few years ago, especially for common language pairs, but product content has traps that general text does not.

1. Translate from your best source. Finish and review the original language first. Errors in the source multiply across every translation.
2. Use a glossary. List terms that must stay unchanged (brand names, product line names) and terms with a fixed translation in your market.
3. Translate structured fields too: product names, variant names such as colours, category names, URL slugs, meta titles and image alt text.
4. Localise, do not just translate. Sizes, units, decimal separators and examples should match the target market.
5. Have a fluent speaker review at least your best-selling products, category pages, checkout texts and every legal page. Legal pages should be reviewed by someone qualified, not only translated.
6. Spot-check regularly. When you add products later, review a sample of each batch.

Translated pages also need correct technical setup so search engines show the right version to the right visitor: their own URLs, translated slugs and hreflang. We cover those topics in selling internationally.

AI images and media: use with care

Image generation can produce banners, category headers, lifestyle backgrounds and even logo drafts. It is useful for decorative and marketing imagery. For the product itself, be careful: customers expect the photo to show exactly what they will receive. A generated image that differs from the real product in colour, shape or detail will lead to returns and complaints. A sensible rule is to use real photographs for product images and keep generated images for banners, sliders and editorial content, clearly separate from product listings.

Also check the terms of the AI provider you use regarding commercial use of generated images, and avoid prompts that imitate other brands, artists or trademarks.

Cost, keys and control

AI providers usually charge by usage: the amount of text processed and generated, or the number and size of images. Costs for text are generally modest per product, while image and video generation cost more. To keep spending predictable:

• Use your own API key, so you see usage and billing directly with the provider and can revoke the key at any time.
• Set a daily spending cap so a mistake, such as running a batch on your entire catalogue twice, cannot produce a large bill.
• Generate in batches you can review. Fifty products you check carefully are better than a thousand you never read.
• Store keys securely. API keys are secrets; keep them in encrypted settings, never in theme files or shared documents.
• Limit who can use AI tools with staff roles, so only trained people can run bulk generation.

SEO, AI answers and trust

Search engines care about whether content is helpful, not whether a person or a machine typed it. Pages that are thin, repetitive or inaccurate perform poorly either way. Product pages that rank and get cited in AI-generated answers tend to share the same traits: accurate specifications, clear structure, original detail and structured data that machines can read.

• Use product structured data (JSON-LD) with price, availability, brand and reviews.
• Keep one canonical page per product; use variants instead of near-duplicate pages.
• Add a short FAQ to important products with questions from real customers.
• Write unique text for your best sellers rather than relying on the manufacturer's standard description.
• Consider an llms.txt file that points AI systems to your most useful pages.

Speed matters as well; see store speed and Core Web Vitals.

How the AI tools work in Origela

In Origela, AI tools are part of the admin panel rather than a separate add-on. You can generate product descriptions and SEO fields from the product data you have entered, translate content into your store's languages from a side panel next to each field, and generate images for products, categories, sliders and logos, which are saved to your media library. You connect your own API key from a major AI provider and set a daily spending limit, so you stay in control of both usage and cost. Everything generated is a draft you can edit before publishing.

You can see the full list of AI and SEO features on the features page. If you are working out a budget, our guide to the true cost of running an online store shows where AI usage fits among your other running costs.