Search structure
Organize categories, local context, metadata, internal links, and schema markup around real shopping tasks.
Let’s talk Case study / Retail + local search
What did Marketing & AI do for Appliance Outlet Texas? Aligned local discovery, product paths, and campaign creative into one customer journey — from Google search or a Meta ad to the right product page to the store visit, all built around visible decisions the operator can inspect.
A privacy-safe look at how local discovery, product paths, and campaign creative can work as one customer journey. The evidence is the visible path and its decisions, not a claim about sales or search performance.
01 / Public-facing example
We show original work only when it is already public and safe to use here.
02 / Starting problem
Shoppers needed a quicker way to understand what was available, where to start, and how to move from a local search or campaign into a useful product path.
03 / Review
These are the questions that shape the work. They are not a disclosure of private findings.
Review the crawl and index path for useful category and location pages.
Map local search intent to the pages a shopper can actually use.
Check the handoff from campaign creative to the next on-site decision.
Inspect mobile readability, tap targets, and call or form paths.
04 / Implemented work
The public reproduction focuses on the decisions a potential client can evaluate.
Organize categories, local context, metadata, internal links, and schema markup around real shopping tasks.
Keep the message and visual cue consistent from the public creative into the landing experience.
Reduce the steps between arrival, product understanding, and a clear next action.
05 / What became clearer
06 / Related services
Privacy-safe summary. No client analytics, customer data, private systems, dates, budgets, testimonials, or performance metrics are disclosed.
Next / Review
Bring the goal, the friction, and any evidence you already have. We will begin by deciding what to check first.