The search boxKEYWORD FLOW
- 01A buyer types a query.
- 02The search box matches keywords.
- 03The buyer clicks a result.
- 04The buyer reads and decides.
AI Shopping
AI Shopping Is Here. Your Listings Weren't Written for It.
Google AI Mode, ChatGPT, Perplexity, and Alexa for Shopping, formerly Rufus, now recommend products by reading your content. Your content was written to rank in a search box. AI does not use a search box.
Google, OpenAI, and Perplexity are building the agents. DecodeIQ makes your content readable to them.
The Shift
Your listing used to be a keyword target. Now it is the document an AI reads.
The AI agentAI FLOW
- 01A buyer asks an AI agent.
- 02The agent reads your content.
- 03The agent checks it against buyer criteria.
- 04The agent recommends you, or stays silent.
One flow rewards a keyword match. The other rewards content that answers in buyer language.
How Agents Decide
How AI shopping agents choose what to recommend
01
They read everything.
Your listing is one input. Agents also read your reviews, your Q&A, your product pages, your blog posts, and your buying guides. They build a picture of your product from all of it, not from your title and keywords alone.
02
They match buyer questions against your content.
The buyer asks in buyer language. Will this fit a small kitchen. Is it quiet enough for a nursery. Your content answers in seller language, or it does not answer at all. When the match fails, it fails silently.
03
They quote content that answers.
An agent recommends the product whose content answers the question in the buyer’s own words. No quotable answer, no recommendation. Ranking meant being found. Recommendation means being chosen.
The Buyer Voice Gap
AI thinks in buyer language. Your content is written in seller language.
AI systems learned to shop by reading buyer conversations. Reddit threads, YouTube reviews, forum posts, product reviews. They evaluate products the way buyers do, with buyer criteria, not spec sheets.
Your content describes the product. Materials, dimensions, features. That is seller language. It is accurate, and it is not how buyers ask.
The distance between how AI reads and how your content is written is the Buyer Voice Gap. It is the difference between recommended and invisible. It is the same gap a Voice Map measures.
AI-referred shoppers convert 42% better than other traffic. About 34% of product content is invisible to AI search.
Adobe, cited in our flagship report
What DecodeIQ Does
Scan the conversations. Generate the content AI can quote.
Step01
Scan.
A Category Scan researches what buyers say across 20+ networks. Reddit, YouTube, Amazon reviews, forums, review sites. Not what sellers assume buyers care about.
Step02
Read the intelligence.
The scan produces a Voice Map. Buying criteria, objections, comparison anchors, use cases, outcomes, and the exact phrases buyers use when they decide.
Step03
Generate.
Voice-matched content for each platform, written from that Voice Map. The same validated buyer language, shaped for where you sell.
Powered by an autonomous research pipeline that scans 20+ buyer networks.
One Scan, Every Channel
One scan. Three traffic channels.
Buyer language does not only help AI recommend you. The same intelligence works everywhere your words appear.
Paid traffic converts better.
The visitor you paid for reads a page written in their language. The message matches the click.
Organic traffic compounds.
Blog posts and buying guides that answer real buyer questions earn search traffic over time.
AI recommendation is the third channel.
The same content agents read and quote when a buyer asks them what to buy.
Same Voice Map. Every channel.
Get Started
Your buyers already explained what would make them buy. In public. In writing.
Scan your category and use their words.