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Product Agents

Be the product
the AI agent picks.

AI shopping agents no longer just cite: they compare, decide and place orders for the user. Citely simulates these agents on your queries and checks that your products are understandable, comparable and actionable — so you stay in the shortlist.

app.citely.app/agents/simulation

Agent simulation

done · 1.8 s Re-run
Buyer task
“Find a reliable espresso machine, under €500, in stock, with comparable specs.”
Searching candidates — 6 products
Budget < €500 and in stock — 3 kept
Comparing specs, reviews & structured data
CandidatePriceStockDataVerdict
Lina Espresso Machineyou€489complete92 · Kept
Borealis Brewmaster€470complete87 · 2nd
Maven Espresso€480incomplete64 · Dropped
Agent decision
Recommended: Lina Espresso Machine (€489) — within budget, in stock, complete specs and readable data. One-click purchase available.

Trusted by Shopify brands

NorthpeakHEARTH & COVeridianbriar.SaisonMERIDIAN
The shift

Buying changes hands.

Yesterday, AI cited and the human decided. Tomorrow, an agent compares and buys for them. Being cited is no longer enough — you have to be selectable.

Classic journey
01AI cites a few products
02The user clicks and compares
03They buy it themselves
Agentic journey
01The agent gets a buying task
02It evaluates and compares products
03It recommends or buys for the user
Evaluation

How an agent scores you.

An agent doesn't read your page: it evaluates criteria. Citely computes your agent score per product and shows, criterion by criterion, what gets you into — or out of — the shortlist.

  • An agent score per product
  • The detail of criteria met
agent score · Lina Espresso Machine
92/ 100Selectable
Price within budget€489
Real-time availabilityin stock
Complete specifications7/7
Actionable dataschema ✓
Actionable data

What an agent must read to act.

To decide, an agent needs readable data: current price, stock, identifiers (GTIN), brand, specs. Citely exposes it as Schema.org, in a form an agent can read and compare.

  • Real-time price & stock
  • GTIN, brand, specs structured
agent card · Lina Espresso Machineactionable
Price€489.00real time
AvailabilityIn stock · 24 units
GTIN3401579000128
BrandAtlas
Specs7/7 — material, pressure…
What an agent checks

Six selection criteria.

The signals an agent must read and compare to keep you in its buying decision.

Real-time price

An up-to-date price, consistent and comparable right now.

Availability

In stock or not: an agent won't buy the unavailable.

Specifications

The characteristics that allow objective comparison.

Identifiers

GTIN, SKU and real brand — to recognize the product unambiguously.

Category

The product type, to match the buyer's query.

Actionable data

All of it in a structured format an agent can use.

Simulations

Your wins — and losses — against agents.

Across a panel of buying queries, see what the agent chooses, whether you're kept, and why.

app.citely.app/agents

Simulations

12 queries · kept in 8 New simulation
Buying queryAgent's choiceYouReason
“reliable espresso machine < €500”Lina Espresso Machinekeptbudget + complete data
“women's marathon running shoes”Runner Pro 2keptspecs & reviews match
“vitamin C serum sensitive skin”Hearth Glow Serumdroppedmissing attributes
“quiet sit-stand desk”Desk Lift Prokeptspecs & stock fit
“ANC earbuds 30h battery”Borealis Airdroppedno structured data
5 of 12 simulations · kept in 8PreviousNext
Simulation

Test before the real agents.

Run any buying query and see, in seconds, whether an agent would keep you — and what to fix to get there. Without waiting to lose sales.

  • Any buying query
  • Verdict and points to fix
simulator
“waterproof hiking backpack 40 L under €150”
Verdict
You'd be kept — 2nd of 5. The agent validates price and stock; the “waterproofing” attribute is missing to rank 1st.
How it works

Connected, simulated, fixed.

From the Shopify connection to a catalog ready for agents.

1

Connect Shopify

Citely reads your catalog, prices, stock and specs.

2

Simulate agents

On your buying queries, we replay an agent's decision and score your products.

3

Fix the gaps

Missing data, specs, terms: we tell you what to complete to stay selectable.

What changes

See what gets you dropped, before the agent does.

Citely replays an agent's decision on your buying queries and points out what drops you from the shortlist — missing attributes, specs, data — so you fix it before it costs sales.

Simulationbefore the real agentstest any query
Agent scoreper productcriterion by criterion
Real timeprice, stock, specsthe data an agent acts on

Frequently asked questions

An AI that acts for the user: instead of just citing products, it gets a task (“find me X under €Y”), compares the options, and recommends — or even orders — on their behalf. ChatGPT, Perplexity and others are already rolling out this kind of shopping feature.

We replay a buying query the way an agent would: searching candidates, filtering on budget and stock, comparing specs and structured data, then deciding. You see the verdict and the reasoning, product by product.

Most often: missing data (attributes, specs), price or stock not readable in real time, or missing identifiers (GTIN, brand). The simulation pinpoints exactly what's blocking.

No. Citely doesn't transact. We make your products understandable and actionable for agents, and show you where you stand — the decision remains the agent's and the buyer's.

No. Being understandable, comparable and actionable is the necessary condition to enter an agent's shortlist — but the final choice depends on the offer, the price and the user's criteria.

Stay in the agents' shortlist.

Connect Shopify and run your first agent simulation from the first crawl.

being actionable helps an agent keep you — it is not a guarantee of being chosen