01Retail + local search
A clearer path from local search to the right appliance.
A privacy-safe look at how local discovery, product paths, and campaign creative can work as one customer journey.
Open the case study
Let’s talk Case studies / Privacy-safe work
What kinds of case studies has Marketing & AI published? Privacy-safe reconstructions of local-service websites, ecommerce paths, campaign creative, and engineering content workflows — each one focused on visible decisions and defensible evidence, not private outcome numbers.
These case studies show the problem, key choices, and public work. Read them as evidence of approach and decision quality, not as outcome claims; we leave out private data, internal systems, and claims we cannot prove.
01 / Selected work
Each card shows how we approached the work. It does not promise rankings, leads, revenue, or placement.
01Retail + local search
A privacy-safe look at how local discovery, product paths, and campaign creative can work as one customer journey.
Open the case study
02Local service + web experience
A privacy-safe look at a local-service website shaped around simple service choices and a short booking path.
Open the case study
03Engineering + content workflow
A privacy-safe view of a technical content workflow. It shows no client data, private dashboard, or result claims.
Open the case study02 / Disclosure boundary
Shown: public creative, page choices, workflow ideas, and broad context. The useful proof is what can be inspected on the page; it does not establish rankings, leads, revenue, or placement.
Not shown: analytics, raw reviews, customer data, budgets, private systems, passwords, or performance claims.
Next / Review
Bring the goal, the friction, and any evidence you already have. We will begin by deciding what to check first.