Google's Conversational Attributes, Explained — and How to Get AI-Ready Product Data Fast
Conversational attributes are a new set of optional product-data fields in Google Merchant Center that help AI systems understand the nuances of your products — so your items can surface in conversational, AI-driven shopping experiences like Gemini and AI Mode in Search. Google announced them at Google Marketing Live 2026 in May, and they're now rolling out globally.
If you sell products and want AI agents to recommend them, Google's move is a clear signal: a standard product feed alone is no longer enough.
Key takeaways
- What changed: Google added six optional "conversational attributes" to Merchant Center so AI can understand product nuances for conversational shopping surfaces like Gemini and AI Mode.
- Why it matters: it's proof that good product data is now the differentiator — AI agents can only recommend what they can understand, and three of the six fields (Q&A, related products, document links) are net-new because standard feeds were never built to carry that kind of information.
- What to do: Channel3 generates AI-ready conversational attributes like Q&A and writes them into your Merchant Center automatically, as a supplemental feed — no manual work, and nothing your shoppers see changes.
Why aren't standard product feeds enough for AI shopping?
Traditional product feeds were built for keyword matching, not conversation. A shopper types "running shoes," and the system matches that phrase to a product title. That works for short queries — but it isn't how people shop through AI.
In AI Mode and assistants like Gemini, shoppers ask longer, more specific questions full of constraints and intent: "a neutral running shoe with extra cushion for a heavy runner under $150." A title and a one-line description can't answer that. Google itself frames the shift plainly: with experiences like AI Mode, people now search with far more detail and nuance, and your feed has to carry the structured detail needed to answer them. Your product data is becoming the knowledge base AI uses to answer questions, suggest alternatives, and compare variants.
The six conversational attributes
These six optional fields complement your existing feed — they don't replace it — and Google confirms that adding them won't affect the approval status of your existing products. You can submit them through a supplemental feed or the Merchant API. Supplemental feeds shape how AI understands your products without changing anything your shoppers see on your existing listings.
| Attribute | What it does | Example |
|---|---|---|
| Question and answer | FAQ-style pairs answering common product questions. Google highlights this as one of the highest-impact fields. | "Is this jacket waterproof?" → "Yes, rated to 10,000mm." |
| Document link | URLs to product-related PDFs. | User manual, datasheet, care guide, ingredient list |
| Related product | Complementary or related items. | Lens that pairs with a camera body |
| Item group title | The product family name, distinct from the SKU-level title. | "Pixel 9" (family) vs. "Pixel 9 Pro 512GB Moonstone" (SKU) |
| Variant option | Variant-level detail. | Size, color, material |
| Popularity rank | How popular an item is relative to others in your catalog. | Best-seller ranking within a category |
Most product data isn't ready for AI shopping
The most telling fact: three of Google's six conversational attributes — question & answer, related products, and document links — don't exist in standard product feeds at all. That isn't an oversight. It's why Google had to add them as net-new fields; the feed format was never built to carry that kind of information.
That's the gap conversational attributes are meant to close — and closing it by hand, across a catalog of any size, is unsustainable.
This is bigger than Google
It's tempting to treat this as one more Google checkbox. It isn't. Google is simply the first major platform to formalize what AI shopping everywhere now demands: rich, structured, machine-readable product data that AI systems can actually understand. With AI-driven discovery growing fast and AI answers increasingly appearing above traditional results, the brands that adapt their product data now are the ones agents will recommend.
Optimizing only for Google's specific field names is whack-a-mole — the next platform wants its own schema for the same data. OpenAI's Agentic Commerce Protocol, for instance, covers much of the same ground — FAQs, related and substitute products, popularity — just in its own format. The durable move is to get your product data into an AI-ready state once, in a form that travels across every AI platform, and keep it current as those platforms evolve.
How Channel3 makes your product data AI-ready
Doing this by hand — writing Q&A pairs, mapping product families, and keeping it all current across thousands or millions of SKUs — is a significant, ongoing project most teams can't staff. This is exactly what Channel3 is built for. Connect your Google Merchant Center in one click — a standard OAuth flow, like signing into Gmail or YouTube — and Channel3 automatically generates and writes AI-ready conversational attributes, like Google's new Q&A fields, straight into your account as a supplemental feed. Most teams are set up in under 10 minutes, with no technical work.
Crucially, it's purely additive. Channel3 can't overwrite your price, availability, or existing listing — nothing your shoppers see changes. It only adds the structured detail AI agents need to understand your products, which makes them more likely to surface in AI shopping experiences like Gemini.
Here's a quick demo:
Instead of maintaining conversational attributes SKU by SKU, you connect once and Channel3 keeps the supplemental data flowing — and keeps it optimized as platforms like Google add new requirements.
The takeaway
Conversational attributes are a preview of where product discovery is heading: away from keyword feeds and toward structured data that AI can actually understand. You can chase each platform's fields by hand, or get your catalog AI-ready once and surface everywhere.
Get AI-ready product data for your brand →
FAQ
Are conversational attributes required?
No. They're optional and supplement your existing Merchant Center feed. Adding them doesn't affect the approval status of your current products.
Which AI surfaces use them?
Google uses this data to better match products to conversational queries across its AI-driven surfaces, including Gemini and AI Mode in Search. And it's not just Google — OpenAI's Agentic Commerce Protocol asks for closely matching data for ChatGPT, so the same structured detail pays off across AI platforms.
How do I submit conversational attributes?
Through a supplemental feed or the Merchant API — or automatically: connect your Google Merchant Center to Channel3 and it writes them in for you as supplemental data, without altering your existing listings.
Do conversational attributes replace my product titles and descriptions?
No. They're additive metadata that sit alongside your core feed. If you already cover something in your description or product detail fields, you don't need to duplicate it.