How to measure whether assistants recommend you
The method we use to turn "are we showing up in AI?" from an anxious guess into a number you can track. Run it yourself if you'd rather not hire anyone.
By Reknew Research, Editorial
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Notes from the desk on agentic commerce.
What we learn as we build: what changed in the protocols, what agents actually do with a catalog, and how to get a store ready. Written by the team, published when there is something to say.
Earlier posts
July 28, 2026
Agentic commerce
Agentic commerce is a channel, not a chatbot
The most expensive mistake merchants are making right now is treating agents as a widget to install rather than a distribution channel to win.
8 min read
June 30, 2026
Merchant playbooks
The nine attributes agents ask for that your catalog probably lacks
A practical inventory of the fields that decide whether an assistant can recommend you, derived from the constraints that actually appear in buying questions.
9 min read
June 12, 2026
Protocols
Who owns the customer when an agent places the order?
Consent, identity and attribution are being decided right now in protocol design. Merchants who do not engage will inherit whatever gets chosen for them.
7 min read
May 26, 2026
Merchant playbooks
A 30-day agent readiness plan for Shopify merchants
What can genuinely be done on a mainstream platform without replatforming, in what order, and what the sequencing gets you week by week.
10 min read
May 8, 2026
Agentic commerce
Why late entry costs more than it looks
An argument, not a forecast: why arriving late to a retrieval channel is structurally more expensive than arriving late to a ranked one.
6 min read
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