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Writing Product Content with AI
How to use AI to produce product descriptions, titles, and meta copy that actually sounds like you, and how to handle the brand voice problem.
Last updated 2026-02-24
Summary
AI-written product content sounds generic unless you give it your brand voice first. A short brief or a structured voice guide fixes this. Show more
- Write one good description from a spec sheet, then have AI adapt it for your product page, marketplace, email, and meta tags.
- Always verify specs, check compliance claims, and read it aloud before publishing. AI drafts well but can't fact-check itself.
Product content is one of the highest-volume, highest-repetition writing jobs in ecommerce. You need descriptions for hundreds or thousands of products, often across multiple channels, each with slightly different requirements. AI handles this kind of work well, if you set it up correctly.
The brand voice problem (and how to solve it)
The most common complaint about AI-written product content is that it sounds generic. “Premium,” “top-notch,” “exceptional quality.” These phrases appear everywhere because that’s what AI defaults to when it doesn’t know better.
The fix is giving the AI your brand voice before you ask it to write anything. This isn’t complicated, but it does require a little work upfront.
Option 1: Write a voice brief. Describe your tone in 2–3 sentences. Include what your brand sounds like and what it doesn’t. Even a rough brief is better than nothing.
“Direct and functional, never aspirational. We describe products by what they do, not how they make you feel. Avoid adjectives like premium, luxury, or exceptional. Be specific: fabric weight over ‘soft,’ exact dimensions over ‘compact.’”
Option 2: Use the Document Brand Voice skill. Paste 5–10 samples of content you’re happy with (existing product descriptions, email copy, anything that represents your voice) and let the skill extract a structured voice guide from them. This usually produces a more complete and reusable document than writing one yourself.
Once you have a voice guide, paste it at the start of every content session. The AI will calibrate to it rather than defaulting to generic.
A worked example: product description from spec
Here’s how a session might go for a new product description.
You provide:
[Paste your voice guide]
Write a 100-word product page description for this jacket: - Shell: 3-layer GORE-TEX, 20,000mm waterproof rating - Weight: 312g (size M) - Packable: stuffs into its own chest pocket - Zipper pockets: 2 exterior, 1 interior - Fit: athletic, slightly shorter hem - Colors: slate, black, moss - Price: $248
AI returns a draft. You review it.
You respond:
“Good structure. The second sentence is too listy. Rewrite it as flowing copy. Move the weight earlier, it’s a key selling point for our customer. Cut ‘designed for’ in the first line.”
AI revises. Usually the second draft is close to usable.
This whole exchange takes a few minutes. Writing from scratch or hunting for the right words takes much longer.
Adapting for different channels
The same product often needs different copy depending on where it appears:
| Channel | Length | Emphasis |
|---|---|---|
| Product page | 100–150 words | Benefits + specs |
| Marketplace (Amazon) | 5 bullets + description | Features + keywords |
| Email/promotional | 30–50 words | Single hook |
| Meta description | 150–160 characters | Click-worthy summary |
Rather than writing four separate briefs, write one good product description and ask AI to adapt it:
“Using this description as the source, write: (1) five Amazon-style feature bullets, (2) a 40-word promotional email teaser, (3) a meta description under 155 characters.”
One input, four outputs. Review and adjust each one.
SEO titles and meta descriptions at scale
For catalog-level SEO content, AI can generate meta titles and descriptions for dozens of products at once if you provide the product data in a structured format.
Paste a table of product names, categories, and key features, and ask:
“For each product in this list, write an SEO meta title (under 60 characters) and meta description (under 155 characters). Focus on the primary search intent for each category. Format the output as a table with columns: Product, Meta Title, Meta Description.”
This works reliably for straightforward catalog items. Products with more nuanced positioning, where knowing how they compete matters, benefit from individual attention.
What to review before publishing
AI product content needs a human check before it goes live:
- Verify all specs. AI can’t know your actual product specs. It only knows what you told it. Make sure measurements, materials, and features are accurate.
- Check compliance claims. Anything that makes a specific performance or safety claim needs verification.
- Read it aloud. If it sounds stiff or unnatural, revise it. AI can still produce awkward constructions even with good guidance.
- Confirm brand alignment. Even with a voice guide, the AI will occasionally slip into patterns that don’t fit. Catch them before publishing.
Relevant skills
The Product Content category has skills built specifically for these jobs: product descriptions, Amazon listings, SEO meta copy, and more. Each skill includes the interaction flow and output format. If you’re doing this work regularly, a skill will save you setup time on every session.