Product discovery is moving from search engines to AI interfaces. Before a customer Googles anything, they’re asking ChatGPT, Claude, Perplexity and Gemini what to buy — and most brands are completely invisible inside those conversations.
“I design revenue systems that capture demand wherever it emerges — from AI discovery to repeat purchase.”
For a decade, the buying journey began with a Google search. That’s changing faster than most teams realise — and by the time a customer lands on your product page, the decision has usually already been narrowed.
The shortlist is formed somewhere you can’t see, can’t measure, and probably aren’t tracking. If you’re not present there, you’re invisible.
Most teams operate as if it had three. The gap between what they optimise and what actually drives revenue is where the opportunity sits.
“Most businesses only optimise layers 2 and 3. The biggest shift of the decade is that Layer 1 now exists — and it influences everything.”
Most of my engagements focus on one pillar and then expand. The point of the system is that each layer makes the others more profitable.
How your brand shows up when buyers ask an AI what to use, what to buy, or who to trust.
Product pages and checkout flows that convert the traffic you already paid for.
Triggered messaging and retention architecture that compounds over time.
A selection of outcomes from recent engagements across ecommerce, B2B and publishing.
A payment experience with measurable drop-off at the final step, resistant to obvious fixes.
A continuous A/B programme combining behavioural analytics and qualitative insight to identify and remove friction across the checkout journey.
An early-stage DTC sustainability brand with no email channel and heavy reliance on paid acquisition.
End-to-end lifecycle programme from scratch — campaigns, flows, acquisition forms and retention architecture — scaled into a high-performing owned channel.
A property-marketing team bottlenecked by slow, technical email production, limiting campaign velocity.
A bespoke templating engine that halved build time and let non-technical staff launch polished campaigns independently.
A seven-figure ecommerce brand losing revenue across checkout and lifecycle — invisible inside AI search queries for their own category.
A full AI-visibility and funnel audit, a 90-day prioritised roadmap, and implementation of the top three revenue fixes in quarter one.
No 90-page decks. No three-month discovery phases. Three steps, designed to turn into action.
I map the full funnel — AI visibility, search presence, conversion points, lifecycle flows and revenue leaks — and benchmark it against what’s achievable.
A prioritised plan. What to fix first, what to build next, what to leave alone. The output is decisions, not deliverables.
Hands-on execution across AI visibility, CRO and lifecycle. I either build it with your team or run it alongside them — but it gets shipped.
I take on a small number of engagements at any one time. If the fit is right, I’ll reply within two business days with a next step. If it isn’t, I’ll tell you that too — and point you somewhere useful.
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AI is changing how customers decide — quietly, quickly, and mostly out of view. Most teams aren’t ready. The brands that move now, before invisibility becomes expensive, will own their category. If you’d like to be one of them, let’s start with a conversation.
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