How is this different from generic AI text generation?

Brand voice training and structured attribute coverage. Generic generation produces fluent but generic copy; ours grounds every description in your product attributes and writes in a voice trained on your existing best descriptions.

Will the output be SEO-friendly?

Yes. Every description hits the target length, includes the right keywords (extracted from your category structure), and ships with structured data ready for product schema markup.

Do humans review every description?

Yes. The review queue has approve, edit and regenerate actions per item. Your team controls the standard; we tune the prompts based on the rejection patterns they surface.

What about technical products?

Highly technical products (industrial, scientific, regulated) may need human-expert review before approval. We surface the threshold at discovery and route those to an expert queue your team owns.

Can you re-run for a brand voice change?

Yes. Voice retraining is the cheap part of the engagement. Re-generation of the full catalogue runs in days once the new voice is locked.

AI Automation for Ecommerce

AI Product Description Generation

AI product description generation at scale. Brand-voice training, structured catalogue ingestion, human review workflow.

Throughput: 5,000 SKU / 6wk
Voice: Brand-trained
Review: Human queue
Output: Ready to publish

Overview

What it is.

Generating product descriptions at scale for large catalogues. We train the model on your existing brand voice and a sample of your best descriptions, then run the catalogue through with a human review queue. Output is ready-to-publish descriptions with consistent voice, accurate attribute coverage and SEO-friendly structure. Most engagements run 3 to 6 weeks for catalogues up to 5,000 SKUs. Larger catalogues extend the human-review portion of the engagement.

What you get

Deliverables.

Brand voice profile trained on your existing best descriptions
Structured prompt template per product category
Generation pipeline running against your catalogue
Human review queue with approve / edit / regenerate
SEO check (length, keyword presence, schema)
Bulk import back to Magento, Shopify or your platform
Per-category quality reporting

Honest limits

What it isn't.

Catalogue attribute completeness directly affects output quality
Highly technical products may need human-expert review
Description voice may need calibration after first 100 outputs

Not sure if it's a fit? Email us. We'll tell you straight.

How it works

From inquiry to handover.

01
1. Discovery
Audit existing descriptions. Capture brand voice samples. Confirm catalogue size and categories.
02
2. Training
Brand voice profile built. Prompts tuned per category. First 100 outputs reviewed by your team.
03
3. Generation
Catalogue processed in batches. Human review queue active throughout.
04
4. Import + handover
Approved descriptions imported back to your platform. Per-category quality report.

Frequently asked

Questions we get from people about to book.

How is this different from generic AI text generation?: Brand voice training and structured attribute coverage. Generic generation produces fluent but generic copy; ours grounds every description in your product attributes and writes in a voice trained on your existing best descriptions.
Will the output be SEO-friendly?: Yes. Every description hits the target length, includes the right keywords (extracted from your category structure), and ships with structured data ready for product schema markup.
Do humans review every description?: Yes. The review queue has approve, edit and regenerate actions per item. Your team controls the standard; we tune the prompts based on the rejection patterns they surface.
What about technical products?: Highly technical products (industrial, scientific, regulated) may need human-expert review before approval. We surface the threshold at discovery and route those to an expert queue your team owns.
Can you re-run for a brand voice change?: Yes. Voice retraining is the cheap part of the engagement. Re-generation of the full catalogue runs in days once the new voice is locked.

Ready to start?

Tell us about your project.

A member of our team reads every message. Replies within one business day. No sales call required.

See all services

AI Automation for Ecommerce

AI Product Description Generation

AI product description generation at scale. Brand-voice training, structured catalogue ingestion, human review workflow.

Throughput: 5,000 SKU / 6wk
Voice: Brand-trained
Review: Human queue
Output: Ready to publish

Overview

What it is.

What you get

Deliverables.

Brand voice profile trained on your existing best descriptions
Structured prompt template per product category
Generation pipeline running against your catalogue
Human review queue with approve / edit / regenerate
SEO check (length, keyword presence, schema)
Bulk import back to Magento, Shopify or your platform
Per-category quality reporting

Honest limits

What it isn't.

Catalogue attribute completeness directly affects output quality
Highly technical products may need human-expert review
Description voice may need calibration after first 100 outputs

Not sure if it's a fit? Email us. We'll tell you straight.

How it works

From inquiry to handover.

01
1. Discovery
Audit existing descriptions. Capture brand voice samples. Confirm catalogue size and categories.
02
2. Training
Brand voice profile built. Prompts tuned per category. First 100 outputs reviewed by your team.
03
3. Generation
Catalogue processed in batches. Human review queue active throughout.
04
4. Import + handover
Approved descriptions imported back to your platform. Per-category quality report.

Frequently asked

Questions we get from people about to book.

How is this different from generic AI text generation?: Brand voice training and structured attribute coverage. Generic generation produces fluent but generic copy; ours grounds every description in your product attributes and writes in a voice trained on your existing best descriptions.
Will the output be SEO-friendly?: Yes. Every description hits the target length, includes the right keywords (extracted from your category structure), and ships with structured data ready for product schema markup.
Do humans review every description?: Yes. The review queue has approve, edit and regenerate actions per item. Your team controls the standard; we tune the prompts based on the rejection patterns they surface.
What about technical products?: Highly technical products (industrial, scientific, regulated) may need human-expert review before approval. We surface the threshold at discovery and route those to an expert queue your team owns.
Can you re-run for a brand voice change?: Yes. Voice retraining is the cheap part of the engagement. Re-generation of the full catalogue runs in days once the new voice is locked.

Ready to start?

Tell us about your project.

A member of our team reads every message. Replies within one business day. No sales call required.

See all services

AI Product Description Generation

What it is.

Deliverables.

What it isn't.

From inquiry to handover.

1. Discovery

2. Training

3. Generation

4. Import + handover

Questions we get from people about to book.

Tell us about your project.

AI Product Description Generation

What it is.

Deliverables.

What it isn't.

From inquiry to handover.

1. Discovery

2. Training

3. Generation

4. Import + handover

Questions we get from people about to book.

Tell us about your project.