Services
Agentic Commerce
An agent can find your store. Only a human can fall in love with it. We make sure both happen.
AI shopping agents are already browsing, comparing, and recommending stores on behalf of real buyers. If your store isn't built to be discovered, understood, and trusted by both humans and their AIs, you're invisible to half the market.
Most stores aren't ready. Not because the technology is hard, but because nobody has looked.
Is your store Agentic Legible?
Agentic Legible: A store that AI agents can discover, interpret, and act on - without human intervention.
We audit your store against the full agentic readiness stack - structured data, AI crawler access, emerging commerce protocols, and the content signals that tell agents what you sell, who you sell it to, and why you're trustworthy.
What comes back is a clear picture of where you stand and exactly what to fix first.
For brands that want to go further, we move into implementation: writing agentic content, preparing product pages, and working with your vendors to make the changes stick.
Two Ways To Work Together:
Agentic Readiness Audit
- Full audit across structured data, crawler access, protocols, and content signals
- Scored findings with clear prioritization
- Practical recommendations your team can implement immediately
Ongoing Agentic Implementation
- Agentic content writing
- Product page preparation for AI discovery
- Coordination with your vendors on implementation
How it works
- Assess whether your store is Agentic Legible: whether AI agents can discover, interpret, and act on it without human intervention. The readiness work looks at how agents encounter and understand your store, while keeping the buying experience for real people in view. Discovery and understanding are both part of the picture.
- Audit the store across the agentic readiness stack. This includes structured data, AI crawler access, emerging commerce protocols, and content signals. These are considered together to give a picture of readiness, rather than looking only at one technical element or assuming the store is already prepared for AI shopping agents.
- Review whether the content signals tell agents what you sell, who you sell it to, and why you are trustworthy. Those signals are part of how the store is understood. The audit considers them alongside crawler access, protocols, and structured data in the full readiness stack.
- Return scored findings with clear prioritization and practical recommendations. The audit shows where your store stands and exactly what to fix first. Your team receives recommendations it can implement, connecting the readiness findings with a clear order of attention rather than an unstructured collection of issues.
- For brands that want to go further, move into ongoing agentic implementation. This includes writing agentic content, preparing product pages for AI discovery, and coordinating with your vendors on implementation. Audit and implementation are two ways to work together, with the latter putting changes into practice alongside the vendors.
Who it's for
- eCommerce brands that want to understand whether AI agents can discover, interpret, and act on their store without human intervention.
- Teams seeking an audit that considers structured data, AI crawler access, emerging commerce protocols, and content signals together.
- Businesses that need scored findings, clear priorities, and practical recommendations showing where they stand and what to fix first.
- Brands ready to go beyond an audit through agentic content writing, product page preparation for AI discovery, and vendor coordination.
They came. They saw.
They converted.
