SEEGEA

Product description prompt: the template that works (GPT-4o & Claude)

The right prompt is the difference between a usable product description and a generic text you have to rewrite entirely. Here is the template our team industrialized for GPT-4o and Claude Sonnet — copy it, or let Seegea run it at scale.

6 min readApril 17, 2026

Most "product description prompts" online produce generic text that sounds like every other product on Amazon. The template below forces a structured, brand-specific, hallucination-free output — testable in 30 seconds, scalable to 10,000 SKUs with Seegea.

The prompt template (copy-paste ready)

You are an e-commerce copywriter for {BRAND}. Brand voice: {TONE}.

Generate a product description from the following attributes:
{ATTRIBUTES_JSON}

Structure:
- 2 benefit-led intro sentences
- 5 to 8 characteristic bullet points
- 1 usage paragraph (2-3 sentences)

Rules:
- Never invent any attribute not provided
- Primary keyword: {MAIN_KEYWORD}
- Total length: 250-400 words
- Output as JSON: {"intro", "bullets", "usage"}

This template enforces the 3 non-negotiable rules: brand context, structured output, no hallucination.

Compatible models

OpenAIAnthropicMistral AI

The 5 variables to customize

{BRAND} and {TONE}

Define your brand name and voice descriptor (e.g., "premium outdoor brand, direct, no fluff"). This single context line changes the entire output register.

{ATTRIBUTES_JSON}

Pass only the factual attributes you actually have: name, category, material, color, size, weight. Never leave fields empty for the model to fill — leave them out of the JSON entirely.

{MAIN_KEYWORD}

The SEO keyword you want in the first 100 words. Keep it to one — the model will naturally include related terms.
ApproachTypical qualityScalableRollback
Manual copywritingHighNo (10 min/product)No
Generic ChatGPT promptLow (generic)No (copy-paste limit)No
This structured prompt (manual)HighNo (API needed for bulk)No
Seegea (prompt embedded)HighYes (500+ in one run)Yes (Ctrl+Z)
If you are testing manually: run the prompt on 5 products across different categories. If output quality is consistent, you are ready to industrialize. Seegea automates exactly this prompt at catalog scale.

Why Seegea uses the same prompt, at scale

Seegea embeds this prompt architecture — with your brand context memorized once — and runs it in batch across your Shopify or PrestaShop catalog. The output appears in the tabular grid for inline review before any publication. Every generated description creates a product version with full rollback.

Created in France between Annecy and Chantilly, Seegea is used by merchants who want the quality of this structured approach without managing prompts, API calls and token budgets themselves.

See the prompt in action on your catalog

30-min Google Meet · live generation from your actual products

See the prompt in action on your catalog
Created in France (Annecy – Chantilly) · Email & Google Meet support

FAQ

Both excel at product copy. GPT-4o is slightly better for structured technical attributes. Claude Sonnet (Anthropic) is slightly better for narrative tone and French/European brand voice. Seegea uses both by default, switching based on content type.

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