Learn / Strategy
What agentic commerce does to paid search
When a shopper delegates a purchase to an assistant, the comparison can happen without a search result page ever being rendered, which is a context your bidding cannot enter. The practical implication is not to cut budget on a forecast, it is that the feed quality you already maintain for shopping ads is doing double duty, and that measuring the shift is more useful than predicting it.
When a shopper delegates a purchase to an assistant, the comparison can happen without a search result page being rendered at all. That is a context your bidding cannot enter, and it is the structural change worth understanding.
What actually changes
Not demand, and not immediately volume. What changes is where a subset of comparisons happen. A shopper who would have run three searches, opened five tabs and compared prices now asks once and receives a recommendation.
Every one of those searches was an auction you could enter. The recommendation is not.
Do not restructure on a projection
The honest position is that nobody can tell you the size of this for your store, and the loss is inherently hard to see, because it consists of searches that did not happen.
Third party aggregates exist and describe populations you are not a sample of. Digital Commerce 360 reported on 19 August 2026, citing Adobe Analytics, that AI-referral traffic to US retail sites was up 62 percent year over year in July 2026, converted 60 percent higher than non-AI traffic, and produced 53 percent more revenue per visit. A growth rate travels between stores better than a share does, and neither is your number. Ottom publishes no traffic estimate of its own.
The overlap that is already paid for
If you run shopping ads you already maintain a product feed, and the properties that make it perform there are the same ones that decide agent comparisons: complete coverage, current prices, identifiers, accurate availability.
Two things usually need checking before it serves both purposes: advertising feeds are often deliberately partial, and they refresh on a cadence set for ad platforms. See Shopify product feeds for AI agents.
What to do now
- Instrument assistant referred traffic so you can see the shift when it happens rather than inferring it later.
- Fix feed coverage and freshness, which pays in both channels immediately.
- Watch your own branded search volume, which is where a change in how people find you tends to show first.
Questions
Should I cut paid search budget?
Not on a forecast. Cut on measurement, and note that the measurement is hard because the traffic you are losing to this channel is traffic that never arrives. Watch your own numbers rather than acting on an industry projection.
Does my shopping feed help in both places?
Yes, and that is the most useful thing here. The completeness, freshness and identifier coverage that make a shopping feed perform are the same properties that decide agent comparisons.
Can I advertise inside assistants?
That varies by platform and changes. Read current vendor documentation rather than an article, and be cautious about restructuring a budget around a surface whose rules are still moving.