Agentic commerceGet recommended by ChatGPT, Perplexity, and AI search.
Shoppers increasingly ask an AI assistant for the right product instead of scrolling search results. Those assistants only recommend businesses they can read. Here is what they need on your site, Shopify or not, and how to give it to them.
Any website: add your URL at signup. Shopify stores: install from the App Store. Every paid plan starts with a 14-day trial.
What assistants read
Three things decide whether an assistant can recommend you
An AI assistant does not browse your theme. It reads the structured data, discovery files, and plain copy underneath it. Get those three right and you become recommendable.
What assistants read
Structured product data
Schema.org JSON-LD that states your product names, prices, availability, variants, and ratings in a format an assistant can read without guessing. Read the product schema guide.
A path for agents
An llms.txt directory
A plain-text map at your domain root that points agents to your key pages and policies, the way a sitemap guides search crawlers. What llms.txt is, and whether you need one.
Language a machine can parse
Clear, parseable copy
Product descriptions and policies written so an assistant can extract the answer to a shopper's question directly from your own words. Write product descriptions AI can parse.
How AgentReady helps
Everything an assistant needs, published and kept current
Publish the structured data
AgentReady emits Schema.org JSON-LD across your products, collections, blog, and policy pages, so assistants read accurate details instead of scraping guesses.
Open a path for agents
It generates and maintains an llms.txt directory and a crawlable structure so AI agents can find your most important pages quickly.
Audit and keep it accurate
A readiness score flags gaps, and the markup regenerates whenever your products change, so your store stays readable as it evolves.
See who is reading
Track hits from GPTBot, ClaudeBot, PerplexityBot, and others to see which assistants visit your store and which pages they pull from.
Learn the details
Everything we have written on AI-driven discovery
AI shopping assistants, answered
- How do AI shopping assistants choose which products to recommend?
- They read the structured, machine-readable parts of a store: Schema.org markup, clean product copy, policies, and discovery files like llms.txt. The clearer and more complete that data is, the more confidently an assistant can match a product to a shopper's question and recommend it.
- Do I need to be in a special feed to show up in ChatGPT or Perplexity?
- Not for most discovery. These assistants read the public web, so the priority is making your existing pages easy to parse: accurate Schema.org markup, an llms.txt directory, and product details written in plain language. AgentReady also publishes an optional product feed for agentic checkout on its top plan.
- What is llms.txt and why does it matter here?
- llms.txt is a plain-text directory at the root of your domain that points AI agents to your most important pages and policies. It is to AI agents what a sitemap is to search crawlers. AgentReady generates and maintains one for your store.
- Will this help with Google's AI overviews too?
- Yes. The same structured data and clean content that help ChatGPT and Perplexity also feed Google's AI overviews and traditional rich results. You are making your store readable to machines in general, not optimizing for a single assistant.
- How do I know it is working?
- AgentReady includes a readiness audit and score, and tracks hits from AI crawlers like GPTBot, ClaudeBot, and PerplexityBot so you can see which assistants are reading your store and which pages they pull.
Make your site easy for AI assistants to read
AgentReady publishes the structured data, llms.txt directory, and audit that AI shopping assistants rely on, whether as a Shopify app or monitoring for any other site. Start free; every paid plan starts with a 14-day trial.