Shopify product descriptions with AI

Why this is the highest-leverage Shopify AI workflow

Most Shopify stores carry 60-80% of their catalog with thin, recycled or empty product descriptions. The reason is always the same: writing them is boring, time-consuming and the per-SKU revenue impact is small — until you sum it up across the catalog and three years of organic search.

AI flips the math. You write one good prompt, structure your data once, and unlock the rest of your catalog over a single sprint.

The end-to-end workflow

1. Export from Shopify

Use Matrixify (the Shopify app formerly known as Excelify) to export your products. You want columns:

• Handle
• Title
• Body (HTML) (current description, even if empty)
• Product Category / Type / Tags
• 2-3 metafield columns with the most important specs

Save as Google Sheet or local CSV.

2. Build your tone-prompt block

Pick 5 of your best existing product descriptions. Run them through this analyzer:

Below are 5 product descriptions that represent our brand voice well.
Analyze them and give me:

1. Tone of voice in 3 keywords
2. 5 sentence patterns (length, structure, rhythm)
3. 10 specific words or phrases that are typical
4. 5 words/phrases consistently avoided

Output format: a 6-8 line "brand-voice prompt block" I can reuse
in future generation prompts.

Descriptions:
{paste 5}

Save the output. This block is the most important asset of the workflow.

3. Build the per-product prompt template

Write a Shopify product description.

Brand voice:
{paste brand-voice block from step 2}

Product: {title}
Category: {category}
Top 3 specs: {specs}
Target customer: {customer description}
Focus keyword: {keyword}

Requirements:
- 100-130 words
- First sentence hooks on use or feeling, not specs
- Middle: 3 short benefit bullets
- Closing: soft CTA, no exclamation marks
- Naturally weave focus keyword + 1 synonym
- Avoid: "premium", "high-quality", "unique"

Output the description only, no preamble.

4. Test on 10 products

Run 10 SKUs from different categories. Read all 10. If 7+ are publish-ready, scale. If less, sharpen the prompt.

This is the most important step: never scale without a clean small-batch test.

5. Scale (two paths)

Path A — manual ChatGPT/Claude (up to ~200 products):

Prompt:

Below is a 25-product table. For each, generate a description following
the template. Return a TABLE with columns Handle + description.

Brand voice: {block}
Template: {requirements}

Products:
Handle | Title | Type | Specs | Customer | Keyword
...

Repeat in batches of 25. Paste back into your sheet.

Path B — Make or n8n (200+ products):

Trigger: new row in Sheet → OpenAI API call with template → write back to Sheet.

Run-time: 45-90 minutes for 500 products.

6. Review (always)

Even with a perfect prompt, AI sneaks in fabrications and repeats. Two options:

• Full review — 60s/SKU × 500 = 8 hours. Only if you have a team.
• Sample review — read 50 (10%). If 47+ are clean, ship. Otherwise diagnose pattern, update prompt, regenerate.

7. Re-import via Matrixify

Export updated CSV. Matrixify import maps Handle → Body (HTML). Watch the dry-run, then commit.

Your store now has descriptions for all of those SKUs. Go drink coffee.

Common pitfalls

• Letting AI invent specs. Always feed specs as input. Never let AI “estimate” sizing or material.
• One tone for everything. A premium watch needs different writing from a kids’ toy. Build a tone block per category if catalog is mixed.
• Repeated openings. AI loves “In a world where…” Add prompt variation cues (“start with a question” / “start with an observation”) to break it.
• Skipping review. AI + human always beats AI alone. The review step is non-negotiable.
• Forgetting metafields. If you have specs in metafields, include them in the export — much richer descriptions come from richer input.

What this looks like in practice

Input row:

Handle: ceramic-mug-matte-black · Title: Matte Black Ceramic Mug 350ml · Type: Drinkware · Specs: 350ml, handmade, matte black glaze, dishwasher-safe · Customer: Minimalist 30+ coffee enthusiasts · Keyword: matte black ceramic mug

Output (representative):

This matte black ceramic mug feels like a morning ritual. Handmade, 350ml, and just heavy enough to make your first sip feel deliberate.

• 350ml capacity — the sweet spot between espresso and a proper filter pour
• Matte glaze that shrugs off fingerprints
• Dishwasher-safe, but you’ll want to rinse this one by hand

A matte black ceramic mug for slower mornings, not packed schedules.

No “premium.” No “unique.” Just a voice and a CTA.

How to start

Pick one collection with 20 products. Run the workflow end-to-end. Measure: time on page, conversion, search impressions on those product URLs in the next 30 days. If two of those three move up, scale to the next collection.

Want us to ship the first batch with you? Book a free Shopify AI audit — we will walk through your Matrixify export and demo prompt iterations live.