Das Taxis Scotland SEO Case Study

Das Taxis is a private-hire and taxi service operating in Dunfermline and Dalgety Bay, in Fife, Scotland. When the project landed at Khan IT, the business had almost no organic search presence — no SEO-friendly website, no keyword targeting, no local-SEO foundation, thin content, and effectively no backlinks. For a local service business, that is close to being invisible at the exact moment a customer is searching "taxi near me".

I am Shoaib Santo, and I ran this engagement as Project Manager at Khan IT, with CEO Md Faruk Khan leading strategy. Because there was no usable foundation to optimize, this was a build-from-scratch project — which, counterintuitively, is often cleaner than untangling a legacy site. Over seven months we took Das Taxis to 893 monthly visitors, 636 ranking keywords, and 137 referring domains, with genuine visibility inside AI search engines on top of classic Google rankings.

The Starting Point: Invisible Locally

A local taxi firm lives or dies by the local pack and "near me" intent. Das Taxis had neither the technical foundation nor the local signals to compete:

The Strategy: Build It Right, Then Earn Local Authority

I broke the work into four phases, run partly in parallel so the site could start indexing while content and links were still in production.

Phase 1: Build the Site with SEO Baked In

Rather than retrofit SEO, we built it in from the first line. That meant a mobile-first, Core-Web-Vitals-conscious build with structured data from day one — LocalBusiness, TaxiService, FAQPage, and BreadcrumbList schema. Getting schema right at build time is exactly the kind of structured-data work that also drives answer-engine visibility, which paid off later in the AI-search results.

Phase 2: Keyword Research & Content Strategy

We mapped the real local demand: "taxi dunfermline", "taxi near me", Dalgety Bay variants, and long-tail intent queries like "how much would a taxi cost for 20 miles uk". Each query was assigned a clear destination on the site so nothing competed with itself.

Phase 3: On-Page & Location Pages

We wrote dedicated location pages, service pages, and FAQ sections — the content depth that both Google and AI engines need to understand what the business does and where it operates.

Phase 4: Local SEO & Authority

This is where a local campaign is won. We optimized the Google Business Profile, enforced NAP consistency across directories, and built a backlink profile that reached 137 referring domains, supported by a steady cadence of monthly reviews. The local-authority playbook here is the same one I detail in my GMB and Maps guide.

The Results (July 2025 - February 2026, 7 Months)

Figures are from Google Search Console and Semrush.

AI-Search Visibility

What makes this project a 2026 case study rather than a 2019 one is the AI-search layer. By building citable, well-structured content, Das Taxis earned real visibility inside answer engines:

That AI footprint is not an accident — it is the direct result of the schema and content-structure decisions made in Phase 1, the same principles behind Generative Engine Optimization.

What Made the Difference

Key Takeaways for Local Service Businesses

If you run a local service business with a weak or non-existent site, you do not need to outspend national competitors — you need to be the cleanest, best-structured, most locally trusted result in your town. Get the foundation, the location pages, the GBP, and the reviews right, and both Google and AI engines will favour you.

Curious whether the same approach fits your business? Contact me, or read the Mir Cement case study for how this plays out for a larger brand.