AI DiscoveryShoppers are asking AI what to buy. Make your products worth quoting
AI assistants recommend the products whose data answers the shopper’s question. Renable writes that data from the facts already in your catalog: readable titles, product highlights, use-case tags and review excerpts. It ships in your Google Merchant feed.
TR300-M-BLU GTX2 285G EU42-47 WIDE
Upper 3L GTX membrane 20k/20k. Outsole Vibram Megagrip 5mm lugs. Drop 6mm, stack 28/22. Weight 285g (EU42). Last: wide. Colour BLU. Origin VN. HS 6404.11…
Answer-ready- Waterproof membrane, rated 20k/20k, keeps feet dry in rain and snow
- Deep 5 mm lugs for grip on wet rock and mud
- Light at 285 g, with a wide last for wider feet
“Still dry inside after a river crossing.”
— Sofia
The shift, as of mid-2026
Search is turning into an answer — and the answer names products
People increasingly ask an AI assistant like ChatGPT or Google AI Shopping to recommend a product instead of scrolling ten blue links. The AI reads structured product data and names the ones that fit. The figures below are about the outside world, as of mid-2026, not Renable results.
Tens of billions
Product listings in Google’s Shopping Graph — the data behind AI Overviews, AI Mode, and Gemini shopping — refreshed continuously.
Answers, then your store
ChatGPT assembles shopping answers from merchant feeds and public product pages, then links the shopper out to the store — so your product data is what it has to work with.
One catalog
Microsoft Copilot reads Microsoft’s product catalog, and Microsoft Merchant Center accepts Google-formatted feeds — so one clean catalog reaches more AI surfaces.
The thing that decides whether an assistant can recommend you isn’t a new channel — it’s whether your product data answers the question. That part you control.
How AI shopping answers choose products
An assistant doesn’t match keywords — it reads product data and recommends what answers the question. A feed with a title, a price, and a thin description has nothing to quote, so it never makes the shortlist.
A shopper asks
“a waterproof trail shoe for winter?”
The assistant reads product data
highlights, reviews, Q&A, use-case tags, specs
It recommends what answers
the product whose data fits the question
“What’s a good waterproof trail shoe for winter?”
For winter trails, look for a waterproof membrane and deep lugs. One that fits: the Trail Runner 300 — its membrane keeps feet dry down to freezing and the lugs grip wet rock. Reviewers note it runs half a size small.
Trail Runner 300
Waterproof · wet-grip lugs · wide fit
“Still dry inside after a river crossing.” — Sofia
Illustration of how an assistant assembles an answer from product data. Renable can’t put you in the answer — no one can — but a catalog that answers the question is the one thing that makes it possible.
The content AI assistants actually quote
Renable writes the fields an assistant can lift straight into a recommendation, product by product. All of it comes from the facts already in your catalog and your reviews. Nothing is invented.
Readable titles and descriptions
Product highlights
Use-case tags
Review excerpts
Structured product details
Buyer-intent Q&A
Every piece is written from your product data and lands in your normal content review. Approve a piece and it is locked, so later runs never overwrite what you signed off.
The free AI-readiness audit
Find out where your catalog stands — in minutes
Connect a feed and ask Aimée. She reads your products and shows you two things. Which quotable content is missing, and which fields each AI channel wants that your feed does not fill yet.
Aimée
Aimée, how AI-ready is my catalog?
I read all 214 products. 3 of your top 10 sellers have no answer to the questions shoppers ask most — “is it waterproof?”, “does it fit wide feet?” — and your feed is missing two fields Google’s AI surfaces read.
AI-readiness audit — coverage by content type
I can draft the missing highlights and use-case tags now, 214 credits, and you review everything. For the Q&A, tell me what you know about those three sellers and I will write the entries and carry them into the feed.
Go ahead.
AI channel readiness · 214 products
Google AI surfaces
Highlights & details present
Microsoft Copilot
Checked against Microsoft’s own spec
Buyer-intent Q&A
3 top sellers have no answers yet
Review-backed answers
Trustpilot connected — quotes scored
ChatGPT export
OpenAI approves who may deliver a feed
See your gaps before you write a word
The audit is free and read-only — connect a feed and Aimée shows you exactly where your catalog falls short. Free for 30 days, on the 500-feed-item plan.
Answers backed by your customers, not just your spec sheet
A real customer quote answers the question better than a spec
Shoppers ask an assistant things a spec sheet cannot settle. Is it actually good for winter? Does it hold up? Renable answers with proof. It connects Trustpilot, Bazaarvoice, Yotpo and TestFreaks, and Aimée lifts the line worth quoting from each product’s reviews.
That line ships in your feed as a review excerpt, and it is the evidence in front of you when you answer buyer questions. Every quote is word for word from the review and attributed by first name. No other platform pairs native review connections with AI-discovery content.
From your reviews
Third winter in these and they keep earning it. Still dry inside after a river crossing, and they came up true to size.
Aimée extracts the quotable line — 88% confidence
Is it good for winter?
Yes — the waterproof membrane keeps feet dry down to freezing. And a customer backs it up:
“Still dry inside after a river crossing.”
— Sofia
Google first: it ships in the Google feed Renable builds for you
The enriched content rides real Google Merchant fields: product highlights, product details, richer descriptions. Nothing new to set up and nothing extra to maintain. If Renable builds your Google feed, AI discovery is a switch, not a project.
Those fields feed Google’s Shopping Graph — the product data behind Google Shopping, AI Overviews, AI Mode, and Gemini’s shopping answers. Better fields in, stronger candidate out.
Your Renable-built Google Merchant feed
- g:product_highlight Written by the AI-discovery pass
- Lugs that grip wet rock and mud
- g:product_detail
- Terrain: wet rock, mud, hard-packed trail
- g:question_and_answer Written by Aimée from your facts
- Good for winter running? — Yes, dry to freezing, with grip for wet trails.
- g:description
- Built for long runs in bad weather, with a membrane that keeps feet dry down to freezing…
Real Merchant Center fields — the same feed that supplies Google’s Shopping Graph, AI Overviews, and Gemini shopping.
Is my feed ready for Google’s AI? Tick the box and see
On your Google channel, add AI discovery to what the feed is used for. The Fields tab then lists the fields Google’s AI surfaces read, marked recommended, with how many of your products already carry each one. Anything Google requires that some products lack lands on your dashboard as a warning, with Aimée one click away.
Set where this feed is used. We’ll check your products against each destination’s requirements.
Recommended by Google (AI discovery)
Recommended by Google (AI discovery)
Recommended by Google (AI discovery)
Not in this feed yet
The same check runs for every destination a feed is used for: Meta, Google, TikTok, Microsoft, Snapchat, Pinterest, ChatGPT, Perplexity, Reddit, Criteo, Prisjakt and PriceRunner, each with its own required and recommended fields.
Every AI surface, and how Renable gets you ready
Four AI shopping surfaces read a product feed today. Here is how Renable reaches each one, and what the network itself decides.
Google — AI Overviews, AI Mode, Gemini
Rides the Google Merchant feed Renable builds for you. The enriched fields are already in it.
Microsoft Copilot & Bing
A prebuilt Microsoft channel with its own checks for where Microsoft differs from Google: availability spelling, image formats, the 30-day feed expiry. Renable for Microsoft
ChatGPT shopping
A channel that builds your catalog in OpenAI’s feed format and delivers it over SFTP. Being listed is OpenAI’s call. Its merchant program is approval-based and US-first as of mid-2026. ChatGPT’s answers also lean on Google Shopping listings, so your Google feed works there too.
Perplexity shopping
A channel that ships your catalog in the format Perplexity reads, at a hosted URL or pushed to the SFTP credentials Perplexity issues at onboarding. Its merchant program is free and application-based, US-focused as of mid-2026. Perplexity carries no advertising, so its shopping results are organic.
Any surface that reads a product feed
Build a custom feed with any field set, as XML, CSV, TSV, JSON or JSON Lines, delivered at a hosted URL or pushed over SFTP. For any destination not on the list.
Nobody can promise you a spot. So we make your data undeniable
Google, OpenAI, and Perplexity decide what surfaces in an answer — and any tool that guarantees you placement is selling something it can’t deliver. What you control is your data. Renable’s job is to make it the strongest candidate it can be, ship it in the right fields for every channel, and show you exactly where it still falls short.
Review at your pace — and what you approve stays put
AI discovery at catalog scale is a volume problem: hundreds of products, several pieces of content each. So generated content goes into your feed as soon as it’s written — review is an editorial pass, not a gate, and a routine highlight never waits in a queue for a human to release it.
Structural changes are gated the other way: the enrichment configuration and the per-channel field mapping are drafts until you publish them, versioned and undoable. So content flows by exception, and configuration stays under your hand.
Approving a piece locks it, so later runs never overwrite what you signed off — the one thing you can’t undo by accident. Running an agency? The same review surface widens per client: approve a single piece, a whole product at once, or everything you’ve selected.
Trail Runner 300
Highlight · “Grips wet rock and mud”
Alpine Coat
Highlight · “Bone dry in wet snow”
Summit Blazer
Use cases · “Commuting”, “Light rain”
Generated content is in your feed straight away — approving a piece locks it so later runs never overwrite it. The configuration behind it stays a draft until you publish.
Frequently asked questions
What is AEO / GEO, and do I need it?
Will this get my products into AI answers?
Do I need a new feed or integration for Google?
Can I export a feed to ChatGPT?
What about Perplexity?
What about schema markup and crawlability on my own site?
Who approves what gets published?
What does it cost?
Find out how AI-ready your catalog is
Connect a feed and ask Aimée. The audit shows you the gaps; the fix loop closes them — with your approval on every piece. Free for 30 days.