Find out if AI recommends
your products
More and more shoppers ask ChatGPT, Gemini and Perplexity what to buy. ReadymadeForAI measures when your store shows up in the answers, finds the catalog issues that keep it out, helps you fix them and checks whether the fix worked.
How it works
One complete loop: measure, diagnose, fix, verify
We don't stop at monitoring. Every issue we find becomes a concrete fix, and every fix gets measured again.
Question
«What's the best waterproof hiking backpack under $150?»
- OpenAIMentions you
- GoogleMentions 2 competitors
- AnthropicMentions you
- PerplexityMentions 2 competitors
Present in 2 answers out of 4: the diagnosis starts from the two where you are missing.
What we find
The issues that keep a catalog out of AI answers
Examples of the problems ReadymadeForAI detects and helps you solve, product by product.
Missing from category searches
Your brand gets mentioned, but when a shopper asks for "the best hiking backpack", only competitors show up.
Missing attributes
Material, size, compatibility or recommended age left empty: AI can't match the product to the question.
Unclear titles
Internal codes, generic words or the store name instead of the manufacturer: the title doesn't say what the product is.
Missing or wrong GTINs
Without a correct code the product is hard to recognize and compare, and Google Merchant Center may limit it.
Products limited in Merchant Center
Google Merchant Center warnings and disapprovals, read product by product, with the cause and the fix.
Unindexed pages
Product pages Google has not indexed or with incomplete structured data, detected through Search Console.
On-site searches with no results
Shoppers search your site for products you carry, using different words: we find those searches and suggest synonyms.
Fixes that don't work
A change that doesn't improve visibility is flagged as ineffective, not counted as a success.
Beyond copywriting
What a generic LLM doesn't see
Asking an assistant to rewrite a product page is easy. The hard part is knowing what not to touch, what not to invent and where to fix so the change counts.
Invented GTINs
A generic LLM
Ask it and it finds or writes a plausible GTIN. But a wrong code links the product to another item: worse than a missing one.
ReadymadeForAI
Doesn't invent codes and doesn't publish codes that fail validation.
The wrong brand
A generic LLM
The catalog's brand field often holds the store or distributor name, and it copies that into the title.
ReadymadeForAI
Recognizes whether that name is the retailer or the manufacturer, and uses the right one.
Lost model codes and sizes
A generic LLM
To make the title read better it drops model codes, sizes and compatibility: the very words shoppers type when they know what they want.
ReadymadeForAI
Keeps the data that identifies the product while improving the rest of the text.
Attributes that don't apply
A generic LLM
It fills every field you ask for, even the material of a shampoo or the power source of a product that uses none.
ReadymadeForAI
Fills an attribute only when it makes sense for that product type.
Duplicate titles
A generic LLM
It sees two identical titles and rewrites them differently, hiding the problem.
ReadymadeForAI
Tells the same item listed twice apart from variants with the wrong title, and proposes the right fix for each case.
The channel that actually counts
A generic LLM
It fixes the page you give it, without knowing which source Google Merchant Center and other channels read.
ReadymadeForAI
Knows which source feeds each channel and points to where the fix must happen to actually reach it.
Why ReadymadeForAI
Measured numbers, verified fixes
Monitoring tools tell you where you stand. We tell you why, and help you change it.
- Real measurement, not estimates
- Real questions, asked to models from OpenAI, Google, Anthropic and Perplexity with web search. Results split by brand, category and location.
- From diagnosis to action
- Every issue comes with a proposed fix, a preview and an estimated cost. Nothing changes in your store without your approval.
- Honest results
- We measure again after every fix and separate what worked from what had no effect.
- The data you already have
- Google Analytics, Search Console and Merchant Center in one view, with the traffic and orders that come from AI assistants.
- Shopify and WooCommerce
- Connect your store and the catalog stays in sync. In several languages, if you sell in several markets.
- Ready for AI agents
- Product feeds, structured data and an MCP server expose your catalog to the assistants and agents that query it.
What you see
Numbers that explain what is happening
Three ReadymadeForAI views, with sample data: where you show up, what worked, what reaches your store.
Visibility by question type
Illustrative exampleHow many AI answers mention the store, split by type of search.
- Brand questions72%
- Location questions44%
- Category questions18%
Verified fixes
Illustrative exampleVisibility on the related questions, week by week.
- Titles and attributes fixed: visibility growing
- Descriptions rewritten: no effect, flagged
From answer to order
Illustrative exampleTraffic and orders from AI assistants over 30 days.
- Visits from AI assistants1,240
- Product pages viewed610
- Attributed orders18
Orders by assistant
- ChatGPT 11
- Perplexity 4
- Gemini 3
For e-commerce agencies
One method for every store you manage
If you run e-commerce for your clients, ReadymadeForAI gives you an objective measurement to show them and a product-by-product work plan.
Let's talk- Each store has its own measurement, issues and fixes.
- Catalog, visibility and performance reports to share with your client.
- Fixes stay under your control: nothing goes live without approval.
Coming soon: multi-client access, to manage every store from a single account.
Coming soon
What we're building
Work in progress, not available yet.
Towards agentic commerce
Coming soonDredd, the agent that works on your catalog
Dredd checks your catalog and visibility every day: it finds the issues, prepares the fix and, within the limits you set, applies it and measures again. Monitoring tools show you a problem; Dredd takes it on.
Together with the AI agent purchase protocols, your store is ready on two fronts: the agents that search for and buy products, and an agent that keeps the catalog in shape.
You decide how much autonomy it gets
- Off
No action.
- Observe
Flags issues without touching anything.
- Propose
Prepares fixes and waits for your approval.
- Safe auto
Applies only low-risk fixes on its own, and verifies them.
- Coming soon
Multi-client access
For agencies: all your clients' stores from one account, each with its own separate data.
- Coming soon
ChatGPT Ads
Ads in ChatGPT connected to your optimized catalog. Paid and organic traffic stay separate, because ads don't change AI answers.
- Coming soon
WhatsApp commerce
Shoppers ask on WhatsApp and get the right products from your catalog.
- Coming soon
Agentic Commerce Protocol
Integration with the open standard by OpenAI and Stripe for purchases started by AI agents.
- Coming soon
Commerce agents on Claude
A catalog ready for shopping agents built on Claude, which hand the cart over to your store checkout.
How visible is your catalog in AI answers?
Tell us about your store, or the ones you manage: we'll show you how ReadymadeForAI works on a case like yours.
Contact usAccess by invitation.