Local search
2026
MASAL Koltuk Yıkama
A local search architecture for MASAL, an on-site upholstery cleaner in Malatya: thirty-two routes covering services, prices, districts, job records, and guides, all feeding one quote flow.
Selected screens from the project
Page families and search coverage
- 01Five page families, each answering a different search intent: services, prices, districts, job records, and guides.
- 02District pages for Battalgazi, Yeşilyurt, and individual neighborhoods, each carrying its own coverage list and booking note.
- 03A structured data graph carrying LocalBusiness, Service, BreadcrumbList, and CollectionPage schemas.
- 04Job records compared through a before/after slider, with method, timing, and drying notes beside each one.
- 05Thirteen guide articles on drying time, fabric type, stain chemistry, and how to choose a cleaner.
- 06A 2026 price list written out line by line, with the discounted web rate shown separately.
From search to booking
- 01A visitor searches for their district or the piece they need cleaned and lands on that exact page.
- 02They read the price off the list and watch the same job finish in the before/after records.
- 03They send a photo over WhatsApp, and the quote is settled in a single message.
The site opens on the questions people actually type, not only on the brand name. Every route meets its own visitor, and all of them lead to the same one-step quote.
Technology
HTML · CSS · JavaScript · JSON-LD
Similar project
A page for every question asked in your service area
Once your services, prices, and coverage areas are settled, we can build the search architecture and the quote flow together.
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