google’s making another big move on chat commerce
they launched 3 new ad formats in ai mode and search
1. conversational discovery ads: embedded inside ai mode’s responses
2. highlighted answers: appear inside ai mode’s recommendation lists.
3. ai-powered shopping ads: similar to shopping ads, but with ai-generated explanations for why a product fits what the shopper is looking for.
all of these follow the same formula:
> someone searches a specific query like “best office chairs for lower back pain if you sit on a computer all day”
> google generates a response like usual
> ads show up with messaging tailored to that search
they also rolled out a new feature to see how your products are being discovered on ai mode, ai overviews, search, gemini.
> how you stack up against similar brands
> how you perform at each stage of the shopping journey (discovery, evaluation, purchase)
> the searches people use to find products like yours
> the product attributes people are looking for (color, style, material, etc)
you can run ads in these placements through:
- ai max for search
- ai max for shopping
- performance max
honestly, i’m pretty excited about this update
we've had some great success with ai max
it’s helped our clients profit from searches that traditional campaigns often miss. allowed us to scale spend much further than before.
from what i’ve seen, conversational searches often carry high buying intent.
when a user searches something like:
“find me a good running shoe for flat feet under $150, something with solid grip for rainy days”
they know exactly what they want and they just need the right product put in front of them.
and now google is opening up more ways to monetize that traffic outside of traditional search and shopping ads.
it’s still an underserved traffic source with a lot of room to grow.
definitely worth spending some time figuring out how your products can show up in those placements
google quietly added something to merchant center and almost no brand is going to touch it for months
it's called conversational attributes
(they didn’t even mention this on the google marketing live)
here's what they are and why you should care:
for years a good feed meant a clean title, the right category, a GTIN, decent images
that was enough to win shopping
it isn't anymore
people aren't typing "mens hiking boots" into search anymore. they're typing "best waterproof hiking boots for wide feet with good ankle support for muddy trails under $150"
ai mode, gemini, ai overviews, the agentic commerce stuff google is building
all of it needs structured data to confidently match, compare and recommend your product
if your feed doesn't hand it that data, the ai guesses or skips you
conversational attributes are how you feed the machine directly
the main ones live right now:
- question_and_answer: pre-answered buyer questions, up to 30 per product
- document_link: pdf manuals/spec sheets google can pull faqs from
- related_product: tag accessories, substitutes, often-bought-with items
- item_group_title variant_option: much cleaner variant grouping
- popularity_rank: a 0-100 score based on your actual internal sales data
a few things that make this a real opportunity for yous:
1. they're optional and don't affect approval
zero risk. you're not fixing a disapproval. and most brands ignore anything that isn't actively on fire, so there's going to be a gap in who will actually set these up
2. it powers every shopping surface
free listings, standard shopping, all of it improves. but the biggest lift is in ai max for shopping (the new beta) and pmax
those campaigns are built to use this kind of semantic depth. ai max literally extracts features like "waterproof" and "wide fit" from your feed to match long-tail intent. richer feed means better material for it to work with. google's early data on ai max is around 5% conversions at similar cpa
3. early movers get share of voice on ai surfaces
ai surfaces are brand new real placements. the brands enriching their feeds now become the ones the ai trusts and recommends, while everyone else still treats merchant center like a dumb ad data dump
how to actually do this:
if you've got a small catalog, supplemental feeds are the easy route. you add the conversational attributes there and leave your primary feed alone. or you handle it through your feed management tool
but if you want to do this at scale, build it into your shopify or store backend so every product going forward naturally carries this data. set it up once, it flows through your feed automatically. and if it's living in your backend, there's a good chance google picks it up from your website directly too (this will likely boost your organic ai ranking too).
prioritize bestsellers and your most question-heavy products first. electronics, apparel and footwear with variants, anything with sizing or compatibility questions
starting with bestsellers does something else for you too. popularity_rank is a 0-100 score showing how well a product sells against the rest of your catalog, and google uses it to push your strongest products on ai surfaces. when you focus your enrichment on bestsellers, you're not spreading effort thin, you're stacking the richest data on the exact products google is most likely to surface anyway
for question_and_answer, use real buyer questions. specs, compatibility, usage, sizing. don't just copy your description or highlights, that's wasted space
for related_product, use the relationship types (accessory, substitute, often_bought_with) and reference by internal id or GTIN
if you want to be first, you can start adding these manually today. but the smarter move is setting it up in your store backend now so it scales without you having to touch it again
treat this as ongoing feed enrichment, not a box you tick once
you're building an ai-readable product knowledge base, and that compounds
the window is open right now. it won't stay that way