Agentic Commerce
Checkout and agent handoff
The job here is specific: make the journey from an assistant to a completed purchase on your own site as short as it can be.
What does checkout and agent handoff mean here?
Make the journey from an assistant to a completed purchase on your own site as short as it can be. In practice that means landing behaviour for agent referrals, which arrive with the research already done and should not be shown a research page, and then the harder half: checkout friction review specifically for this traffic, which abandons differently from search traffic.
Why this work exists
Nothing about this is difficult. It is just rarely anybody’s job, so it waits.
Agentic Commerce is the wider programme; this is the piece that gets scoped first more often than any other.
The nearest piece of work to it is keeping checkout on your own site where the data and the relationship stay. Where that is already handled, this moves faster than the estimate; where it is not, the two get done together or neither of them holds.
What good looks like
The useful version ends with a decision somebody can act on this month, not a report somebody files.
The gap between that and where most accounts start is why this is scoped as checkout and agent handoff rather than as a line inside something larger. Surfacing the review themes a model summarises instead of the star average is the usual second step once it is in place.
When this is the right work
Start here if you recognise any of these:
- Agent traffic lands on a category page and leaves
- Price or availability differs between what the assistant said and what the page shows
- Checkout for this traffic abandons at a different step than the site average
If none of those is true, something else is probably the constraint, and the Agentic Commerce overview maps the alternatives. The usual neighbours are answering the comparison question in a field rather than in a paragraph and monitoring parity continuously, because that is where the trust breaks.
What the work covers
Concretely, this covers:
- Landing behaviour for agent referrals, which arrive with the research already done and should not be shown a research page, handled before the parts that depend on it rather than alongside them.
- Checkout friction review specifically for this traffic, which abandons differently from search traffic, which is where most of the time goes and almost none of the budget.
- Deep linking from assistant answers to the exact variant rather than to a category, scoped against what the business can actually act on rather than what is possible.
- Stock and price parity between what the agent read and what the shopper sees, which is where trust breaks. Usually scoped at half the size it turns out to be.
How it runs
Three passes, each ending in something the client can check.
Handing it over
Whatever is left running ends up with a named owner and a schedule, or it stops happening within two months.
Agreeing the measure
The number this will be judged on is fixed before the work starts. Agreeing it afterwards is how both sides end up disappointed.
Finding the constraint
Most of the available gain sits in one or two places. The first job is working out which, rather than improving everything by a little.
What each part runs into
What gets in the way, part by part:
- Landing behaviour for agent referrals, which arrive with the research already done and should not be shown a research page, harder in Delhi NCR because of a measurement baseline that was never taken
- Checkout friction review specifically for this traffic, which abandons differently from search traffic – in Bengaluru, complicated by the fact that a language mix the content has to match rather than assume
- Deep linking from assistant answers to the exact variant rather than to a category, which in Surat runs into an enquiry path that runs through a messaging app rather than a form
- Stock and price parity between what the agent read and what the shopper sees, which is where trust breaks: the Sharjah version of this has to deal with a catchment smaller than the ambition on the website
The common failure
Sending every agent referral to the homepage. The buyer was ready, and the homepage asks them to start again.
The damage is less in the wasted work than in the conclusion it leads to.
How it is measured
Completion rate from agent referral, and parity error count between the feed and the live page. Reported monthly against a baseline taken before anything changed.
One number, agreed, beats four that each tell a slightly different story.
What you end up with
Stripped of the method, what remains is a handoff map from answer to purchase, the deep links, and a parity check that runs continuously.
Versioned, so the next pass starts from this one rather than from scratch.
How it differs by sector
What this becomes in practice depends on who it is for:
- B2B services: the thing that changes the scope here is that a buying committee, a long cycle, and attribution that has to survive both.
- For Ecommerce and retail, margin per order decides everything, and the product feed is usually the weakest asset. and that shapes how far this can go.
- Home and trade services brings its own limit: emergency intent, service-area geography, and a phone that has to be answered.
The industry pages carry the rest of that detail. B2B services and Ecommerce and retail are the two where this piece of work most often decides the outcome.
Common questions
Should checkout happen inside the assistant?
The market moved away from it during 2026 after in-chat completion rates disappointed. Discovery in the assistant and purchase on your own site is the pattern that stuck.
What breaks most often?
Price and stock parity. The agent read the feed, the page says something else, and the shopper stops trusting both. Start at Canonical URL if nothing has been built yet, Checkout optimisation if something has and it is not working.
How long does this take?
The diagnostic part is usually two to three weeks. What follows depends on what the diagnosis finds, and we scope the second phase after the first rather than quoting both upfront. Both AI Platform Optimization for Finance and fintech and Analytics and Measurement for Finance and fintech assume this page, so they are the natural next two.
How much of our time does this take?
A few hours in the first fortnight, mostly answering questions about history that cannot be reconstructed from the data. After that, a monthly review. Technical SEO in Austin goes through this properly, and Website Design and Development in Austin shows where it stops working.
What do we actually get at the end?
A handoff map from answer to purchase, the deep links, and a parity check that runs continuously. Documented, so it survives whoever was in the room, and specific enough to act on without a follow-up conversation. The specifics live in Search campaign management. Shopping campaign management is the context that makes them make sense.
Ask about checkout and agent handoff
Give us the site and one question. If the honest answer is that you do not need this, we will say so.
Get a scoped answer rather than a proposal
One call, no sequence of follow-up emails afterwards. If the timing is wrong we will leave you to it.