Agentic Commerce Readiness

An audit of how well AI shopping assistants and agents can find, read and buy from a site. It checks product data, structured markup, policies and checkout readiness, then flags what stops an agent recommending or completing a purchase.

Analysis of organic search performance and the surrounding results landscape. The queries that bring visitors in and the ones that should but don't, rankings and click-through against the pages that hold them, and the content competitors use to win the intents that matter. Pairs the site's search data with the language customers actually type. Branded query volume belongs here too, since demand for the brand by name, tracked over time, is one of the few behavioural reads on brand awareness.

AI agents attempt tasks on a prototype or live site, sometimes acting as personas, and report where they got stuck, what broke and what confused them. It works like an automated expert pass rather than a usability study with real people.

Usually 30 minute - 1 hour sessions run on a one-to-one basis either in person or remotely on Zoom, Teams, etc. Customers are recruited via email database and should ideally be incentivized for their time, e.g. a discount code or gift card.

Analysis of website analytics data to determine overall performance, performance by segment, e.g. device, channel, user type, analysis of on-site behaviour or digging into the impact a specific element or piece of functionality has on performance and user experience.