What sellers writeSPEC SHEET
“Vegan, cruelty-free formula with 2% niacinamide and hyaluronic acid. Dermatologist tested.”
Format: Product-centricOrigin: Datasheet
For Shopify Stores
You pay for every click. Your product page loses most of them.
DecodeIQ scans real buyer conversations across Reddit, YouTube, and review sites. Then it writes your product pages, blog posts, and buying guides in your buyers' language, not your brand deck's.
One scan powers your product pages, your blog, and your FAQ.
The Gap
The gap your analytics can't explain
What buyers sayBUYER VOICE
“I need to know if this breaks me out before my sister's wedding. Not the ingredient list. Will it break me out.”
Your page answers questions from your brand guidelines. Buyers arrive with different questions. That gap is what a Voice Map measures.
Where Stores Lose
01
Paid clicks that bounce.
Your ads work. Your page gets 8 seconds. If those 8 seconds read like a spec sheet, the ad spend converted a visit, not a customer.
02
A blog that sounds like every other store.
Generic AI content answers no one's real question. Buyer-language content answers the exact questions buyers ask each other on Reddit before they ever reach your site.
03
Objections you never hear.
Amazon sellers get a review firehose. You don't. Your buyers' doubts live in forum threads and YouTube comments you have never read. Your page cannot answer a concern you cannot see.
How It Works for Shopify
Step01
Scan.
A Category Scan researches how buyers discuss your category on Reddit, YouTube, reviews, and forums. A Product Scan researches your specific product.
Step02
Read the intelligence.
Buying criteria, objections, comparison anchors, and the phrases buyers actually use.
Step03
Generate.
Product pages written in buyer language. Blog posts and buying guides that answer the questions buyers ask. FAQ sections built from real pre-purchase objections.
The measurable loop
- 01
Map
Scan buyer conversations for the questions, criteria, and objections that drive the category.
- 02
Baseline
Note which products AI names now, before you change anything.
- 03
Apply
Publish buyer-matched product pages, guides, and posts AI can crawl.
- 04
Re-measure
Ask the same questions again after publishing to see what moved.
A Shopify store page can be crawled, so this loop tests external AI directly. Check crawlability first, since a theme or robots rule can still block it.
Selling elsewhere too? See this loop for Amazon sellers or Etsy sellers.
One Scan, Every Format
Content That Compounds
One scan supports every content type. The product page answers the click. The blog and buying guides bring the next thousand clicks. All written from the same validated buyer language, so your store speaks with one voice.
The Second Tool
This is not another copywriting tool. It is the meaning layer of your stack.
Google AI Mode, ChatGPT, and Perplexity now recommend products by summarizing what they read. Adobe reported in April 2026 that AI-referred retail traffic converted 42 percent better than non-AI traffic. That is a market observation about a channel, not a DecodeIQ result.
Your product feed decides whether AI can find you. Your language is one of the inputs these systems synthesize from. They cite pages, guides, and FAQs that answer real buyer questions in real buyer language. That is what a scan extracts and what your generated content contains. DecodeIQ measures recommendation evidence. Your store analytics measure conversion.
Your keyword tool wins today's search box. DecodeIQ writes the content AI systems quote. You need both. Only one of them is in your stack right now.
See how AI shopping agents read and recommend products on the AI Shopping page.
Proof
See real Voice Maps and generated content on the Examples page. See what sellers did with them in Case Studies.
Jasper and Copy.ai generate from your brand guidelines and product specs. DecodeIQ generates from your buyers’ conversations. Different input. Different output.
CompareGet Started
Your buyers already explained what would make them buy. In public. In writing.
Scan your category and read it.