Win sales in the age of agentic commerce

The intelligent agent layer between purchasing AI and your products—so you clinch every sale.

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Shopping Assistant

Based on high-resolution product data from a verified retail agent, here is my top recommendation for the London Marathon:

Aerofly 3
Aerofly 3
£224.99
  • 87% energy return — highest of any marathon shoe tested
  • 186g carbon-plate design rated for sub-3hr marathons
  • Flyknit upper optimised for London’s April race conditions
powered by clinchr
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Agentic commerce is the future

0%
of shoppers have used AI chatbots for product comparison
1/4
of all online sales projected to be completed through AI agents
$0tn
projected agentic commerce market size by 2030

Who will win the sales?

The market is moving beyond static optimisation

Generative Engine Optimisation tries to statically optimise data to show up on LLM searches.

But purchasing agents hate trawling through lengthy product catalogs, stuffed with vague and irrelevant data.

The agentic shopper only wants to receive relevant products and with the exact data it needs to know this is what the user wants.

Stop pushing static catalogs. Optimise for the agentic shopper with your own sales agent.

product_catalog.json
9:41 5G
Shopping Assistant
Find me the best trainers to do the London Marathon in.
Trawling static catalogs…
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Give your products their own sales agent

Clinchr sits between purchasing agents and your catalog, negotiating and optimising the exact data that wins the sale.

Powered by reinforcement learning
Built for OpenAI's ACP & Google's UCP
Consumer
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Purchasing Agent
▾ query ▴ optimised
agent-to-agent negotiation
Clinchr Agent RL-powered
fetches
Product Catalog