About London Auto Index

The Most Important Channel in Automotive Retail Is the One Nobody Can See.

London Auto Index was built to change that — measuring how AI assistants recommend cars and dealers across the capital, and helping London’s automotive retailers win the recommendations that now decide who gets the customer.

Why We Exist

A Purchase Worth Thousands, Decided in a Conversation You Were Never Part Of

Every day across London, buyers open ChatGPT, Gemini or Perplexity and ask the questions that used to belong to Google — and to your showroom floor. Which ULEZ-compliant SUV suits a family in Barnet. Whether PCP or leasing makes sense for a Croydon commute. Which EV specialist near Romford can actually be trusted.

The AI answers. It names brands. It names dealers. And the businesses it names win customers the others never knew existed.

Your analytics can’t see it. Your agency doesn’t measure it. But it is already deciding who your next customer buys from.

Traditional marketing gave dealers dashboards for every channel — search rankings, ad spend, social reach. The AI recommendation layer has none. No rankings to check. No console to log into. Just answers, delivered privately, at the exact moment of decision.

London Auto Index exists to make that invisible layer measurable. We run thousands of real London buyer prompts through the major AI engines, record exactly who gets recommended and why, and turn that evidence into strategy. We chose London deliberately: the densest, most complex, most valuable automotive market in Britain — where ULEZ, congestion charging, EV adoption and kerbside charging make buyer questions harder, and AI guidance more influential, than anywhere else in the country.

The Founder’s Vision

“Every Era of Commerce Had Its Organising Layer. This One Belongs to Intelligence.”

Hassan’s conviction is simple: Google organised websites, Amazon organised products — and the next decade will be organised by AI-driven decisions. In automotive, the businesses that thrive won’t be the ones with the biggest ad budgets. They’ll be the ones AI engines understand, trust and recommend.

London Auto Index is the first proof of that vision, and the operational launchpad for something larger. As part of Automotive Intelligence Group™, the mission extends beyond one city: to build the intelligence layer for the global automotive industry — spanning dealer intelligence, consumer decision platforms, and the APIs that will power automotive recommendations everywhere.

But infrastructure is earned, not announced. It starts here, in London, with rigorous measurement, published methodology, and results dealers can verify for themselves.

How We Earn Trust

Three Principles We Won’t Trade

Independence

No business can pay for placement in the Index or our published benchmarks. Commercial clients receive private analysis; public research remains impartial. The moment rankings are for sale, they’re worthless — to you and to us.

Evidence

Every claim we make traces to recorded prompt data, a documented methodology, or a primary source you can check. We publish how we measure, because intelligence you can’t verify isn’t intelligence.

Candour

No firm can guarantee what an AI engine will say. Anyone who promises otherwise is selling you fiction. What we guarantee is rigorous measurement, honest findings — including the uncomfortable ones — and a roadmap built on observable patterns.

The Window

AI Recommendation Patterns Are Forming Right Now. They Will Be Far Harder to Change Later.

AI engines build their picture of your market from the signals available today — and early patterns compound. The dealers being recommended now are accumulating the citations, mentions and trust that make them the default answer tomorrow.

Every quarter of inaction widens the gap. In two years, London’s AI recommendation landscape will have settled — and the businesses on the outside will be paying dearly to break in.

Edition 1 of the London AI Visibility Report is in production · Audit capacity is limited to a small number of engagements per quarter

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