Agent commerce
A new shopping entry point is taking shape in conversation
A buyer states a need. An agent reads available product data, compares the options, and forms a shortlist. Discovery, selection, and the path to purchase now converge in a single conversational interface.
Agent commerce is a commercial path in which agents take part in product discovery, comparison, selection, and transaction execution.
Shopping now has a conversational entry point
Search and marketplaces remain central. Agents now organize another route into the consideration set.
Search
A buyer enters keywords and continues from a results page.
Marketplaces
A buyer enters a catalog or recommendation feed and browses a broad assortment.
Agent commerce
A buyer states a need. An agent organizes the available information, compares products, and returns a shortlist.
Brand competition now extends from earning the click to making the agent's shortlist.
Platform progress
Agent commerce has entered the infrastructure-building phase
Since September 2025, platforms have introduced product protocols, payment authorization, shopping surfaces, and merchant integrations. The paths are still diverging. The investment is already under way.
September 2025
Google introduced AP2, using signed mandates to define authorization for agent payments.
Google Cloud
September 29, 2025
OpenAI and Stripe introduced the Agentic Commerce Protocol (ACP) and launched Instant Checkout.
OpenAI Developers
January 11, 2026
Google and Shopify introduced Universal Commerce Protocol (UCP) for commerce across agent surfaces.
Google Developers · Shopify
January 2026
Microsoft launched Copilot Checkout, extending commerce into its AI assistant.
GeekWire
March 2026
OpenAI retired the initial Instant Checkout model, kept merchant checkout, and shifted its focus to product discovery.
Retail Dive, quoting OpenAI
May 11, 2026
Qwen and Taobao connected product recommendations, ordering, fulfillment, and after-sales service.
Xinhua News Agency
May 2026
Doubao introduced Help Me Choose, connecting product discovery to Douyin ecommerce.
TMTPost
Protocols are separating by function
ACP, UCP, and AP2 address product exchange, commerce coordination, and payment authorization. Their boundaries are still evolving.
Discovery and checkout are separating
An early checkout model can change while platform investment in product discovery continues.
Product data is the shared foundation
Open protocols and integrated platforms follow different routes. Both depend on accurate, retrievable, and comparable product information.
The result is a shortlist
Search results can continue across pages. An agent response narrows the field before the buyer sees it. A product that misses the shortlist has no route into the next comparison or purchase step.
- AILong-tail discovery
Find me a portable pour-over coffee kit for camping.
AI- Portable Pour-Over Kit V2$49
- Mini Hand Grinder Pro$39
- Folding Drip Kettle$29
Your brand isn’t here. - AIKnown-item price check
Where can I get the best price on an iPhone 15 Pro 256GB, new with warranty?
AI- Apple Storefree next-day$1,099
- Amazon2-day shipping$1,049
- Best Buystore pickup$1,079
Your brand isn’t here. - AIScenario picks
I need a thin-and-light laptop for office work and video calls, under $800, with long battery life.
AI- Lenovo IdeaPad Slim 5$649long battery
- HP Pavilion Aero 13$749ultralight
- ASUS Zenbook 14$699balanced
Your brand isn’t here.
At the new entry point, the first competition is for a place on the shortlist.
From index to action
An answer is the last step, not the first. Product data must first become retrievable, then support candidate selection, comparison, and a working purchase path.
- 1
Index
Web pages, feeds, and catalogs enter the sources available to the agent.
- 2
Candidate set
The agent forms an initial product set from the buyer's requirements.
- 3
Live data
Price, availability, delivery coverage, and purchase URLs remain retrievable.
- 4
Comparison and presentation
Specifications, use cases, reviews, and policies support the selection.
- 5
Action
The buyer continues on the merchant's site, or a supported agent carries the transaction forward.
Transactability
Discovery must connect to a working purchase path
Transactability is a product's ability to move from discovery through comparison and selection to a working purchase path. Missing price, unverifiable availability, incomplete specifications, or an unreachable purchase URL can break that path.
Recommendation opens the path. Transactability keeps it moving.
Why now
The channel is still forming. The operating signals are already here.
- 20%
- AI and agents influenced 20% of purchases worldwide during Cyber Week 2025.
- Salesforce · December 2025
- 75%
- Shopify's Q2 2026 results showed that 75% of AI-attributed purchases occurred in categories outside the platform's top 100.
- Shopify · Q2 2026
- $3–5T
- McKinsey estimates a $3–5 trillion global opportunity for agent commerce by 2030.
- McKinsey · 2025
Agent commerce is still taking shape, while search and marketplaces remain central. Brands now have an additional operating task: make product data retrievable, intelligible, and comparable to agents, then preserve a continuous record from the first run.
Product data foundation
Make the catalog retrievable in a form agents can interpret and compare.
Measurement baseline
Preserve the first run under a consistent method so later results have a valid point of comparison.
Correction record
Carry known issues, corrective action, and retest status into later cycles instead of restarting from zero.
The sooner you enter the new channel, the sooner your advantage starts to build.
Making the shortlist is only the beginning
Build a machine-readable catalog
Keep product identity, specifications, price, availability, use context, and purchase URLs accurate, current, and structured for agent retrieval.
Test continuously and fix at the source
Retest shortlists and purchase paths under the same method. Trace errors and gaps to the catalog, then check them again in a later cycle. The earlier you connect, the longer the record behind every proposed fix.
Getting in decides whether you appear. Continuous optimization decides how far you go.
SoldByAI brings both capabilities into one operating system, from catalog connection and weekly sweeps across the leading AI engines to purchase-path testing and engine-level attribution.
See whether your product data is ready for the new channel
Enter your store URL to see which product identifiers, structured data, and key signals are missing.
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