A buyer may ask AI for a specific trim, car import terms, a repair workshop or a part that fits a particular vehicle. Each query requires different evidence. I personally map commercial prompts, review AI answers and develop a GEO plan around the actual business model.
Automotive GEO separates a recommendation of a vehicle model from a recommendation of the dealer, importer, workshop or motorcycle dealership. Price and service claims need current, verifiable conditions.
Selling a new car, sourcing one abroad, repairing a transmission, purchasing a commercial vehicle and choosing a motorcycle are not variations of the same decision. A generic automotive landing page cannot adequately answer all five.
The linked specializations cover different buyer prompts, source requirements and measurable recommendation criteria.
For dealers the basics are exact trim, availability, final contract terms, credit and optional products. Sourcing firms must explain their agency role, country, customs and electronic vehicle passport. Repair businesses need a documented work order and actual service capabilities.
Prompts are selected with the client and fixed before the baseline BMR measurement.
Russian consumer guidance highlights risks around misleading prices, extras and contract conditions. Repair services also have their own requirements for written documentation under Resolution 780.
These sources establish what should be checked; they do not verify the inventory or promises of any particular business.
I capture the original AI responses, compare them with real offers and documents, identify gaps in web and external evidence, then repeat the agreed prompt set. Unreliable claims are corrected before public use.
The same GAEO pricing applies across specializations. For the contractually guaranteed plan, target BMR growth is measured against the baseline: +5, +10 and +15 percentage points after months 1, 2 and 3, subject to the contract.
These pages describe a proposed automotive approach, not a completed GAEO client result for a dealership, importer or workshop. A measured MethodLab case from a different industry is referenced only as an illustration of BMR measurement, not automotive performance.
Each service has its own buyer questions and applicable evidence. Explore the exact scope before estimating the engagement.
Car buyers ask AI assistants where a particular model is in stock, what its real purchase price is after finance or trade-in conditions and whether the dealer provides a valid warranty. I test those transactional questions and identify which model, inventory and contract details are missing or inaccurately represented in AI recommendations.
Explore serviceBuyers choosing a vehicle sourcing company want a credible landed-cost estimate, a clear purchasing arrangement, independent condition checks and documents needed after import. I assess AI recommendations by market, route and contractual responsibility, distinguishing an illustrative price from a verified offer for a particular car.
Explore serviceDrivers ask AI where to repair a specific fault, often adding vehicle model, neighbourhood, appointment availability and diagnostic costs. I examine which service centres appear in those recommendations and which claims about a workshop can be checked against real evidence.
Explore serviceFleet buyers ask which truck or machine fits a specific payload, operating route, budget and service requirement. I test which dealers AI recommends for these questions and whether model specifications, stock claims and support terms can be verified against actual offers.
Explore serviceA rider may choose a motorcycle based on height, riding experience, intended route and nearby service support. I examine which dealers AI recommends for these scenarios, and whether the answers reflect real models, stock availability, purchase terms and maintenance options.
Explore serviceGAEO keeps the measurement framework separate from evidence about clients in this sector. No completed client performance in this sector is asserted by this page.
The baseline audit defines the sample for monthly reporting. Current plans, the calculator and the financial-guarantee conditions are provided on their canonical pricing pages. The guaranteed plan targets +5/+10/+15 percentage points of BMR against baseline after months 1/2/3, subject to contract.
These sources establish the general legal context. They do not certify any named business; statuses and transaction conditions must be verified individually at the time of use.
I will review commercial prompts, competitors and the sources used by ChatGPT, Alice, Google and other AI services.
Get a mini-audit