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AI Product Descriptions – Automated Content Generation for E-commerce

AI product description generation in your brand voice: 100+ SKUs per day, SEO-optimised, multilingual. From raw supplier data to ready content in your store.

Key takeaways

AI product description generation in your brand voice: 100+ SKUs per day, SEO-optimised, multilingual. From raw supplier data to ready content in your store.

  • ›100+ unique product descriptions per day
  • ›Brand voice maintained across every SKU
  • ›SEO-optimised descriptions with natural keyword phrases

Price: from €500 setup + €0.50 / SKU

SERVICE DETAILS

I build an automated AI product description pipeline: from raw supplier data (CSV with attributes, images) to ready content in your Shopify or WooCommerce store. The system uses GPT-4o or Claude 3.5 with a precision system prompt calibrated on your tone of voice guide and sample descriptions. Output: 100+ SKUs per day, each with a unique short description (150 characters) and long description (300-600 words), optimised for product search phrases. I support multilingual output (EN, DE, FR, PL) and direct import to Shopify API or WooCommerce REST API.

› INVESTMENT:

from €500 setup + €0.50 / SKU
const module = new ExecutionProtocol();

// Initializing ai-product-descriptions...
› Loading dependencies... OK
› Establishing connection... OK
› Ready for deployment... AWAITING_COMMAND

Key Benefits

100+ unique product descriptions per day — eliminates catalogue backlogs and allows adding new suppliers without increasing copywriting costs.

Brand voice maintained across every SKU — the prompt system is calibrated on your best existing descriptions, not generic.

SEO-optimised descriptions with natural keyword phrases — every description contains product phrases identified in Ahrefs for your category.

Native multilingual output: EN, DE, FR, PL in a single run — direct import to Shopify or WooCommerce without manual copying.

Cost scales with volume, not linearly — at 10,000 SKUs the cost per description is cents, not euros.

The Process

1

Catalogue analysis and tone calibration

I analyse your best existing product descriptions, identify tone of voice and brand vocabulary. I build the system prompt and calibrate the model on 20-30 examples from your catalogue.

2

Pipeline and data integration

I configure the product data import pipeline (CSV, XML, Shopify API, BaseLinker API) and build a processing script that normalises input data before sending to the AI model.

3

Pilot generation and refinement

I generate 50-100 pilot descriptions for your team's review. Based on feedback I adjust the system prompt and parameters until description quality meets expectations.

4

Full production and auto-import

I launch full production and configure auto-import to your store (Shopify API or WooCommerce REST API). I deliver a dashboard with metrics: descriptions generated, API costs, errors.

AI generation vs copywriter vs manual / none

CriterionAI generationCopywriterManual / none
Throughput100+ SKUs per dayA handful per dayBacklog grows
Cost per descriptionCents at volumeHigh per pieceHidden staff time
Brand voice consistencyCalibrated across every SKUVaries by writerInconsistent
SEO optimizationBuilt into the promptDepends on writer skillOften skipped
Multilingual outputEN, DE, FR, PL in one runPer-language costRarely done
Store importAuto-import via APIManual copy-pasteManual
Best forLarge or fast-growing cataloguesFlagship hero productsTiny catalogues

Frequently Asked Questions

Will AI-generated descriptions be flagged as duplicate content by Google?

No — each description is generated with a unique combination of product attributes and instructions to use synonyms and varied sentence structures. The script also checks for uniqueness before import. For large catalogues I also recommend canonical tags for product variants.

How does quality control work?

For the first 2 weeks your team reviews a random 5% sample of descriptions. After system calibration — weekly sampling. I set up flagging for descriptions with a low confidence score for manual review.

Does the system handle products with multiple variants (colours, sizes)?

Yes — the system generates one base description for the main product and short unique paragraphs for each variant. For fashion catalogues with thousands of variants this is a key feature.

What is the cost for a catalogue of 10,000 SKUs?

Setup €500 (one-time) + €0.50 x 10,000 = €5,000 for the first full catalogue generation. Subsequent updates (new products, rewriting old descriptions) — only per-SKU costs, no repeat setup fee.

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BIAŁYSTOK, PL
+48 732 022 086pawel.wiszniewski95@gmail.com