Prepare your brand for
AI-driven commerce.

Simulate how shopping agents discover, evaluate and recommend your products across real purchase journeys — before real agents start spending real customer budgets.

simulation · journey_2247
running · agent #3 / 4
Discover
Filter
Evaluate
4
Recommend
Candidate products ranked · 4 of 18
Your Pro Marathon $240 · 245g · drop 8mm
match · 0.91
Brand A · Strider $210 · 260g · drop 10mm
0.74
Brand B · Endurance $190 · 275g · drop 8mm
0.62
The agentic era of commerce

Customers stop browsing.
Agents start buying.

The shopping journey is being delegated. By 2027, a meaningful share of purchase decisions will involve AI agents acting on behalf of consumers — comparing, filtering, negotiating. The brands they recommend will compound. The ones they skip will fade.

Today · Human-led

Browse. Compare.
Convert.

The customer does the searching, the filtering, the cross-referencing. SEO and paid media buy attention. Conversion happens at the page.

Search Click Compare Cart Pay
2026+ · Agent-led

Brief. Delegate.
Approve.

The customer briefs the agent. Multiple agents discover, evaluate and recommend in parallel. The customer approves a final shortlist. Visibility happens upstream, inside reasoning.

Discovery agent
Critic agent
Eval · 18 items
Recommend · 3
Inside the lab

A simulation environment
for AI commerce.

Agent purchase journeyIntentneedFiltercriteriaCompareoptionsTrustproofPick#1simulates each decision before real shoppers arrive
Purchase journey simulation

Map every decision point an autonomous agent encounters — from intent recognition to final recommendation — across realistic scenarios.

Discover
85
Filter
92
Evaluate
58
Compare
71
Recommd
64
Friction diagnostics

Pinpoint exactly where agents downgrade your product — missing spec, weak reviews, unclear comparison, broken structured data.

Recommendation pathsQuerySchema +claimsRank #1Missingproof+24% recovered paths
Recommendation engine

Test variations of product copy, structured data, pricing and bundling — and watch agent recommendation rates respond in real time.

SCENARIO 3:30 marathon
PERSONA recreational, 32, urban
BUDGET $150–$280
CONSTRAINT delivery in 48h
RUN 240 simulations · 3 agents
Persona × scenario testing

Build libraries of synthetic shoppers — by intent, budget, urgency, brand affinity — and run thousands of journeys overnight.

SCHEMA DIAGNOSTICS
product.weight
product.price
product.useCasemissing
!product.reviewslow sample
brand.sustainability
Structured data audit

Identify exactly which schema, attributes and signals are missing — the inputs agents weight most heavily, and you control most easily.

Recommend rate+38%baselinecopy fixschemabaselineoptimized
Optimization tracking

Run experiments, ship changes, measure agent recommendation lift over time. Make AI commerce a proper performance channel.

Static audits vs. AI reasoning

A dashboard tells you
what already happened.

Traditional commerce analytics describe past behaviour. Commerce Lab runs live simulations against current AI models — so you optimize for the agents customers will actually face.

Static audits

What sold yesterday.

Conversion funnels, attribution tables, SEO rankings. Real data, but historical. They tell you nothing about how an AI agent reasons about your product right now.

analytics · Q1 2026
Sessions142,800
Conversion rate3.2%
AOV$184
Top organic kwrunning shoes
Live AI reasoning

What agents would do tomorrow.

Run thousands of simulated journeys against current AI systems. See the agent's reasoning chain — and the lever you can pull to change the outcome.

live simulation · 14:02
SA Filtering by marathon training, weight < 280g. 4 candidates.
EX Reviewer consensus favors Your Pro Marathon for 500mi+ durability.
RC Recommendation: Your Pro Marathon · 0.91 confidence.

Optimize your catalog
for the AI shelf.

30-minute demo. Tailored to your industry. No commitment required.