London Heathrow Cars — Case Study | ItWorks
✈️ Case Study Airport Transfers Embedded AI Consultancy SEO · Booking · WhatsApp AI

London Heathrow Cars: Rebuilding after Covid, with the boring fixes first.

ItWorks Team·Updated 19 Jul 2026·First international client engagement Live
How to read this page

Live, ongoing engagement — every figure is labelled either verified & shipped or a target we’re tracking toward. We don’t blur the two.

The Business

London Heathrow Cars is a private hire and airport transfer operator with over 20 years of history serving Heathrow and Greater London. Covid collapsed UK air passenger numbers by over 80% in 2020 — for a business entirely dependent on flights, that meant an 18-month effective shutdown. LHC survived. By 2026 the challenge had changed: recovery isn’t growth, and the private hire market had moved on — aggregator apps had share, customer expectations had shifted, and LHC’s digital presence hadn’t kept pace with the quality of its actual service.

“We went from a stable, growing operation to effectively zero revenue in a matter of weeks. No flights. No bookings. No income.”

What We Actually Did First

We didn’t open with a chatbot pitch. The first weeks were spent on the unglamorous parts of the funnel — because a beautiful AI system sitting on top of a broken booking form doesn’t generate revenue, it just automates the leak.

04 JUL 2026

Cordic booking-logic audit

Reviewed how the booking platform’s pricing and payment logic actually behaves before building anything on top.

06 JUL 2026

GSC verified, 90-day SEO strategy shipped, live fixes published same day

Home & About titles, meta descriptions and a missing H1 bug fixed and published to production — not just documented. Baseline: 520 clicks · 104K impressions · pos 20.5 · 0.5% CTR

10 JUL 2026

Oversized address dropdown — reported 13:37, fixed & live same day

Root cause traced to unstyled heading tags in the booking script inheriting site-wide font sizes. Fixed inside the site-wide component so it can’t silently break again. Four customer-facing defects resolved this week alone.

14 JUL 2026

AI chatbot decision brief delivered

Built and demoed a working AI concierge with one-tap WhatsApp handover before asking LHC to spend a penny on it.

From the engagement — actual deliverables, as sent to the client
LHC Weekly Update deck
Weekly client update — 18 Jun 2026
LHC SEO Optimisation Report
SEO optimisation report — shipped & live
Findings report — Google Ads error diagnosis
Root-cause findings — Google Ads 404s

The Chatbot: Built to Launch Free, Upgrade Only When It Earns It

Rather than recommend a subscription chat platform, we built LHC’s website assistant in-house. It launches at £0/month — no platform fees, our own code, hosted through their existing Webflow setup — using guided quick-reply buttons and a one-tap “Chat on WhatsApp” handover that pre-fills the conversation topic so customers never repeat themselves.

ItWorks build
£0 → £1015/mo

Free to launch and run. The only future cost is optional: switching on the Claude AI engine once usage data shows it’s worth it. No contract, cancel anytime, no per-seat fees. LHC owns the code, the data, and the customer relationship.

Rental platforms (Tidio, Crisp, Chatwoot)
£45–75+/mo

Rising with volume or seats. Free tiers cap at ~50 conversations. Conversations and customer data live inside a vendor’s platform, not the client’s.

LHC
Concierge · WhatsApp
● online
Ask a question or pick below 👇
💷 Get a quote
🕒 Track my ride
Quote please, LHR → SW1
£58 · Exec Estate. Book?
✓ Continue on WhatsApp

The decision framework we gave LHC’s leadership was explicit: launch free, measure every conversation and every WhatsApp handover in GA4 for 2–4 weeks, then decide with data whether the ~£10–15/month AI upgrade is justified. At LHC’s average fare of £45–60, a single extra booking covers three to four months of that cost.

Where Things Stand — Verified vs. Targets

✓ Verified & Shipped
  • GSC baseline captured — 520 clicks / 104K impressions / pos 20.5 / 0.5% CTR over the prior 3 months
  • 4 customer-facing bugs fixed live — including same-day fix to the booking funnel’s address field
  • Working AI chatbot demo — WhatsApp handover, guided FAQ flows, ready to deploy at £0/month
  • 90-day SEO strategy + Phase 1 audit — three-phase roadmap targeting position 8–10 by day 90
◌ Targets We’re Tracking Toward
  • 100% enquiry capture rate — target, currently measured via GA4 handover tracking
  • <2 min AI first-response time — target for the AI-upgraded chatbot, once live
  • 3× repeat booking rate — 6-month target, tied to retention automation still in build
  • 4.8+ Google review score — target for the reputation & review automation workstream

SEO: What’s Measured So Far

Metric Baseline Month 1 target Month 3 target
Clicks/month ~173 650 1,500+
Impressions 104K / 3mo 120K 200K+
Average position 20.5 18 8–10
CTR 0.5% 0.7% 1.5–2%

Baseline and targets from Google Search Console + the 90-Day SEO Strategy. Google typically takes 2–4 weeks to re-crawl and reflect on-page changes, so Month 1 figures aren’t in yet — this table will update as real data lands.

Why This Engagement Matters to Us

LHC is our first international client, and the first place we’ve run this exact playbook end-to-end: audit and fix revenue leakage before anything else, prove the cheapest working version of a system before recommending the expensive one, and never publish a number we can’t point to a source for. The private hire and airport transfer sector is underserved by technology — most operators are still running on manual processes and spreadsheets. LHC has the reputation and the fleet; what it needed was the operational infrastructure to scale, and that’s what we’re building, one shipped fix at a time.

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