The Person Behind London Auto Index
Hassan
Mehmood
Founder of London Auto Index
Generative Engine Optimisation × Automotive Intelligence × AI Discovery
Hassan Mehmood is the founder of London Auto Index and a specialist in Generative Engine Optimisation, applying emerging AI-search intelligence to how vehicles, dealerships and automotive businesses are discovered across London.
The person behind London Auto Index.
Hassan Mehmood is the founder of London Auto Index (LAI), a London-based automotive intelligence platform studying how people discover, evaluate and choose vehicles, dealerships and automotive businesses in an increasingly AI-mediated search environment.
His background moves through digital marketing, SEO and local search, into broader digital growth, and more recently into Generative Engine Optimisation (GEO) as AI-powered search has emerged — the progression the timeline below sets out in full.
When a customer asks ChatGPT, Google, Perplexity or another AI system what car, dealership or automotive service they should consider, which businesses are actually being discovered, recommended and cited — and why?
From Search Marketing to Automotive Intelligence
Digital Marketing
Building experience across digital marketing and online customer acquisition.
SEO & Local Search
Working with search visibility, local discovery, websites, content and digital performance.
Digital Growth
Combining search, content, paid media and customer journeys.
Generative Search
The search landscape begins shifting from traditional search results toward AI-generated answers and recommendations.
Automotive Intelligence
Applying this expertise specifically to vehicles, dealerships, automotive markets and AI-mediated discovery.
London Auto Index
Building an independent London-focused automotive intelligence platform.
Generative Engine Optimisation
Hassan specialises in Generative Engine Optimisation (GEO) — the emerging discipline focused on helping brands, organisations and entities become more understandable, discoverable, attributable, citable and recommendable within AI-mediated search environments.
This includes environments such as ChatGPT, Google AI Overviews, Gemini, Perplexity, Claude and voice assistants. GEO does not guarantee inclusion in any AI-generated answer; it improves the conditions under which accurate, well-structured information can be found, trusted and cited.
Search is changing.
Consumers increasingly ask AI systems questions rather than simply entering keywords into a search engine. Automotive purchasing involves hundreds of these questions, asked constantly, across every stage of research and ownership.
“Does a business rank?”
“Does the business appear in the answer?”
Search is changing. Discovery is changing with it.
Traditional search rewarded pages that ranked. Generative search increasingly rewards information that AI systems can understand, trust, retrieve, synthesise and cite.
Traditional Search
Generative Discovery
Automotive discovery is particularly complex.
Automotive buyers research brands, models, dealerships, locations, prices, specifications, reviews, alternatives, financing, ownership considerations and vehicle suitability — often within a single conversation. AI systems increasingly have to connect all of these entities together to answer well.
Why GEO Matters to Automotive
Historically, Businesses Competed For
Google Rankings → Maps → Directories → Advertising
The Emerging Environment Increasingly Includes
AI Recommendations → Comparisons → Citations → Conversational Discovery
Why I Built London Auto Index
The automotive industry already contains enormous amounts of information. The problem is that the information is fragmented.
Manufacturer websites, dealer websites, marketplaces, reviews, publications, directories, consumer questions and AI systems each hold a piece of the picture — but none of them, on their own, tell the full story of how London’s automotive market actually works.
London Auto Index is not simply another automotive directory. It is designed as an intelligence layer for understanding London’s automotive ecosystem — combining structured automotive data, buyer intelligence, dealer intelligence, vehicle intelligence, search intelligence and generative search visibility.
— Hassan Mehmood
From GEO expertise to automotive intelligence.
Vehicle Intelligence
Understanding vehicles, specifications, market positioning, pricing and buyer relevance.
Dealer Intelligence
Understanding dealerships, brands, locations, inventory and market positioning.
Buyer Intelligence
Understanding the questions, needs and decision journeys of automotive consumers.
AI Visibility Intelligence
Understanding how automotive businesses and entities appear across generative search environments.
LAI is not simply about where cars are listed.
It is about how London’s automotive market is understood, discovered and represented.
An automotive knowledge graph, not a listings page
London Auto Index connects the entities that make up London’s automotive market into a single intelligence layer.
The AI-Mediated Car Buyer
A consumer may increasingly begin their automotive journey with an AI assistant rather than a search engine.
Traditional Path
Emerging Path
“I’m looking for a comfortable luxury SUV under £80,000, suitable for London, economical enough for regular commuting and available from a reputable dealer.”
A single conversational query interpreting budget, body type, use case, running cost and dealer trust simultaneously.Generative Search Intelligence
A framework for understanding visibility in AI-generated search.
Hassan developed the Generative Search Intelligence (GSI) methodology to evaluate the signals that influence how entities are understood and represented within generative search environments. It is designed to assess how clearly an entity can be understood and supported across the information ecosystem — not to guarantee any visibility outcome.
Factual Precision
Is the information accurate?
Structural Clarity
Can AI systems easily understand and extract it?
Topical Authority
Does the entity demonstrate genuine expertise?
Content Freshness
Is the information current?
Cross-Site Corroboration
Do independent sources reinforce the same facts?
How it all connects
Built around London.
London contains one of the UK’s most complex automotive ecosystems — luxury markets, franchised dealer networks, independent specialists, supercar businesses, leasing, used vehicles and automotive services, all operating side by side.
The automotive questions asked in Kensington & Chelsea can be very different from those asked in Redbridge, Croydon, Barnet or Bromley.
Research before opinion.
London Auto Index aims to distinguish structured research from unsupported opinion — producing automotive intelligence that is transparent, evidence-led and open about its own limitations.
GEO and SEO
Traditional SEO
“Can the search engine rank this page?”
GEO
“Can an AI system understand, trust, retrieve and cite this information?”
Automotive businesses increasingly need both.
What I Study
AI Search
How generative AI systems interpret questions and construct answers.
Automotive Entities
How vehicles, brands and dealers are represented as connected data.
Dealerships
How franchised groups, independents and specialists are discovered.
Vehicles
How specifications, pricing and positioning inform buyer decisions.
Buyer Journeys
How consumers move from question to shortlist to purchase.
Local Discovery
How location and borough-level context shape automotive search.
Voice Search
How conversational, spoken queries differ from typed search.
Generative Recommendations
How and why AI systems recommend one business over another.
“Search is no longer only about being found. It is increasingly about being understood.”
Looking Ahead
The next automotive search experience
Automotive discovery may increasingly involve search, voice, AI assistants, in-car systems, recommendations and conversational buying journeys, layered on top of one another rather than replacing each other outright.
A buyer may ask for a recommendation.
They may ask for a comparison.
They may ask which vehicle suits their lifestyle.
They may ask which dealership they should trust.
London Auto Index is studying this transition — not claiming to have already solved it.
This is a forward-looking view of how automotive search may develop, not a claim about outcomes London Auto Index has already achieved.
Hassan Mehmood
Founder — London Auto Index
Generative Engine Optimisation × Automotive Intelligence
London, United Kingdom