London Auto Index / Research desk
Understand the change.
Examine the evidence.
Automotive intelligence for the questions London buyers and dealerships face next. Explore our published work on ownership, dealer information and AI-assisted discovery.

Published work
Research you can read and question.
Start with the question that matters to you. Each article explains its scope and the evidence behind its conclusions.
Do used EVs leave dealer forecourts faster?
UK selling-speed evidence and the distinction between an advert disappearing and a confirmed sale.
Read the stock-monitor article ↗AI discoveryA citation is not always a brand mention.
A measurement protocol for separating source links, named businesses and recommendation signals.
Explore the protocol ↗Buyer journeysWhere does a London buyer go after asking AI?
A founding brief on buyer consideration, an illustrative dealer journey and proposed measurement.
Read the buyer brief ↗Research status
Clear about what is published.
Clear about what is still developing.
Automotive AI Visibility Index
Edition 1 remains in validation. Final rankings are not published here. The Index page explains the research scope, illustrative report preview and evidence requirements.
View Index status →Automotive Research Cohort
A defined set of businesses for comparative research. Inclusion does not establish certification, endorsement, membership or a commercial partnership.
Explore the research cohort →Find your next answer
One research hub. Different decisions.
Choose with London context.
Explore vehicle suitability, charging, parking and the ownership questions behind a shortlist.
Explore buyer intelligence →Dealer informationLook beyond the showroom.
Consult the directory’s stated sources, locations and verification dates before contacting a dealer.
Explore the dealer directory →For dealershipsUnderstand your AI discovery presence.
Review the scope of LAI’s commercial assessments of mentions, citations and information gaps.
Explore assessment services →Accountable research
Useful evidence stands up to questions.
Commercial assessments cannot buy placement or scoring in the public Index. Web-search observations, illustrative examples and captured AI answers should remain distinguishable.