Noor Duct Cleaning: A proof-led AC duct-cleaning platform for a Sharjah business serving Sharjah, Ajman and Dubai.

The challenge

Duct cleaning is a trust-sensitive purchase: customers cannot see inside their own ducts, and the market is crowded with vague pricing. The site needed to make the work visible and the cost clear before someone commits to a booking.

The business, Noor Duct Cleaning (licensed as Noor Al Fareej A/C Units Fix. Cont), needed to be found for duct-cleaning searches across three emirates and many neighbourhoods, then turn that visibility into WhatsApp enquiries and bookings.

What we built

Buyers cannot verify duct condition, so trust is the barrier. We built the site around visible proof: camera-inspection evidence, before-and-after comparisons and a digital service-history record, so the result is documented rather than claimed.

Vague pricing causes drop-off. We built a transparent, room-by-room pricing calculator so a visitor sees an indicative price before enquiring.

Ranking across Sharjah, Ajman and Dubai needs focused pages. We generated per-emirate and per-neighbourhood pages from a single content model, each matching a specific local search rather than one generic page.

Cold visitors need a low-commitment first step. We added a free 60-second self-assessment that gives a result and hands off to WhatsApp or a booking request.

Features we added

• Free 60-second air-quality self-assessment with an instant result
• Instant room-by-room pricing calculator
• Camera-inspection proof and interactive before/after comparisons
• Digital service-history record for repeat customers
• Per-emirate and per-neighbourhood local pages generated from one content model
• Membership and recurring air-care plans
• Arabic content shell alongside the English site
• WhatsApp-first booking with form validation

Pages and content structure

How the website works

A visitor arrives on a service or local area page, checks the transparent pricing or runs the free self-assessment, reviews the before-and-after and camera-inspection proof, then books online or continues the conversation on WhatsApp.

Technology and implementation

Responsive development

The site is mobile-first, with touch-friendly before/after sliders and thumb-reachable WhatsApp and call actions. Responsive images are served in AVIF and WebP across device sizes so mobile visitors load appropriately scaled artwork.

SEO and performance foundations

The build generates a sitemap, robots rules, per-page metadata and JSON-LD from the content model, enforces a single canonical host (www to apex), and consolidates a duplicate-URL pattern. The licensed legal entity is surfaced for search and business-profile consistency. These are crawlability and structure foundations, not a ranking claim.

What was delivered

• A config-driven Next.js platform covering Sharjah, Ajman and Dubai
• Programmatic service, emirate and neighbourhood pages from one data model
• Proof tools: self-assessment, camera-inspection evidence, before/after and service history
• Transparent pricing calculator and membership plans
• Programmatic sitemap, robots, metadata and structured data

Delivered outcome

A launched, maintainable platform where adding a service or area in the content model generates its page, navigation, sitemap entry and structured data automatically.

A single, proof-led enquiry journey from local search through to a WhatsApp conversation or booking request.

Delivery outcomes describe what was built and shipped. Traffic, ranking and sales outcomes require separate evidence and are not claimed here.