Start with the catalogue problem
Use the form for audits, taxonomy reviews, product page readiness work, and comparison-set questions. A useful enquiry names the product range, the visibility problem, and where the language currently feels unstable. The strongest starting point is usually a small cluster of product names, collection URLs, claims, or AI summaries that show the catalogue problem in the open.
Frequent questions
How do you usually work?
I start with the product catalogue and the public pages that support it. I look at naming, category structure, claims, proof, comparisons, and the places where the same product gets described in different ways. From there I give a practical map of what needs tightening.
Which topics do you take on?
I usually work on generative engine visibility audits, product taxonomy, category-language restructuring, AI answer readiness for product and collection pages, and trust-signal mapping. I am best suited to e-commerce and DTC brands with enough catalogue depth for language problems to compound.
How quickly do you reply?
I usually reply within a few working days. If the enquiry is a fit, I will ask for catalogue access, priority product ranges, and any examples of AI answers or search results that concern you.
What format do consultations take?
I work in focused projects rather than open-ended calls. A project may include a catalogue review, page-level notes, category language recommendations, comparison-set mapping, and a written findings document. Calls are used to sharpen the brief and walk through decisions.
What does a typical project cost?
Most projects start around $2,800, with deeper catalogue and taxonomy work reaching about $12,000. I price around the size of the range, the number of page types, and how much evidence needs checking.
What tasks do you not take on?
I do not write fake reviews, stuff pages with phrases, manufacture third-party proof, or diagnose a brand from one screenshot of an AI answer. I also do not take projects where the site itself will not support the claims it wants machines to repeat.
Give the machine fewer chances to misread the shelf.
If the product language is scattered, the answer will be too.
Contact Rowan