Present among SUVs, absent among family cars
What to avoid: measuring a single generic question and believing you know your presence. What to do: a panel by vehicle segment and use, repeated over time, with the share of answers in each segment.
Automotive and mobility
The questions people ask before choosing a car.
Before visiting a dealership, many people ask an AI assistant which car suits them. TrustInsider looks at which answers mention your brand and checks range, prices and recalls against your official sources.
First question
“Which hybrid for a family of five?”
A car question almost always starts from a segment and a use: family, city, work, long journeys. A brand can always be named in one segment and never in the one next to it.
Answers by segment draw on car review publishers and comparison sites more than on manufacturers’ websites. That is why the panel is built by vehicle type and use, and the comparison with the group’s other brands is read segment by segment, never as a single total.
Four sample questions by vehicle segment, with the fact the answer uses to choose which models to suggest.
| Category | Typical question | The deciding fact |
|---|---|---|
| Family car | Which hybrid for a family of five with luggage? | Seats, boot space and declared consumption |
| City car | Which electric city car under a certain price? | List price and urban range |
| Work vehicle | Which delivery van needs little charging? | Payload, range and charging times |
| Long journeys | What is the most comfortable electric car on the motorway? | Motorway range and charging network |
Second question
“How many kilometres does it really do on one charge?”
The range in the answer is often that of a previous version, or a figure with no conditions. The person compares models on numbers that are not those of the model on sale.
AI accuracy compares the figure in the answer with the official technical sheet of the model on sale. The most solid correction is a dated technical sheet, readable by a program too, one per version, with the test cycle stated next to the number.
The sample technical sheet of a demo model: the version on sale, the range with the declared test cycle, the previous version’s figure removed and the update date.
/models/electric-crossover · demo brand
- Version
- Model year on sale, large battery
- Range
- The homologated figure, with the test cycle stated
- Previous version’s range
- Removed from the page of the model on sale
- Last update
- The date the sheet was reviewed
Last year’s version’s range
What to avoid: the answer gives the range of a version that is out of production. What to do: dated, structured technical sheets for every version, with the test cycle next to the figure.
Third question
“Has this model had any recalls?”
Questions about recalls are few but they carry weight. If the answer attributes another model’s recall to yours, or presents it as open when it is closed, trust falls for no real reason.
Recalls are checked against public lists and against the manufacturer’s recalls page. A clear page, by model and year, with the status of each campaign, gives the answer a source to pick up; news alerts flag when an article confuses two models.
A sample answer about a model’s recalls: the recall cited concerns another model from the same brand, and is presented as still open.
QuestionHas the demo brand’s electric crossover had any recalls?
AI assistant · sample answer
Yes: a recall for the braking system is still open, according to an article on a car news site.
Error
The recall concerns the same brand’s saloon, not the crossover.
Statement
The campaign is closed: the manufacturer’s recalls page says so.
Source
The cited article confuses the two models in its headline.
Fourth question
“Do the website’s pages answer these questions?”
Before looking for the fault in external sources it is worth looking at your own pages: if technical sheets, prices and recalls are hard to read, the answer takes them from others.
The glimpse shows the site audit indicators on a demo brand: the average content score, the pages read out of those found and the types of issue. For a manufacturer the pages to look at first are the model sheets, the price lists and the recalls page, that is the ones that answer the questions on this page.
Fifth question
“Where can I test-drive it near home?”
The last question leads to the dealership. Here what counts is the brands handled, sales and service opening hours, workshop reviews: local facts the manufacturer does not control on its own.
A dealership can be described with a brand it no longer handles, or with a single set of opening hours when sales and the workshop open at different times. Negative reviews of servicing also weigh on sales, because the answer summarises them together. Network and manufacturer work on the same facts, location by location.
A sample request, “where can I test-drive the electric crossover near home”, and how the manufacturer and a dealership in the network read it.
| For the manufacturer | For the dealership | |
|---|---|---|
| What counts | That the model is suggested in the area of the person asking. | That the location appears among those offering test drives. |
| The decisive source | The official network list on the brand’s website. | The location’s listing with brands and opening hours by department. |
| The typical mistake | A location that has left the network still shown as official. | A single set of opening hours for sales and the workshop, which open at different times. |
Parts and accessories
Parts and accessories: compatibility first
For a spare part there is only one question: will it fit my car? An answer that gets compatibility wrong sends the customer to buy the wrong part or steers them away from the right one.
Compatibility claims are checked against official catalogues, by model, year and engine. Marketplaces and enthusiast forums are frequent and often inaccurate sources; product sheets with readable compatibility codes give the answer a more solid reference.
Four sample steps: the customer asks whether a part is compatible, the assistant reads listings and forums, the manufacturer publishes the codes by model and year, and the next measurement checks the answer.
The customer asks
Whether the brake pads fit their car from a certain year.
The assistant searches
Marketplace listings and forum discussions.
The manufacturer publishes
Compatibility by model, year and engine.
Measured again
The answer gives the right code and the official source.
Frequently asked questions
Questions about AI visibility in the automotive industry
Where assistants get car data from, how brands are compared, what to do about a wrongly attributed recall and whether the platform also works for dealerships.
Where do assistants get a car’s data from?
Mostly from review publishers, comparison sites and marketplace listings, as well as the manufacturer’s website. That is why range and prices need to stay consistent outside your own pages too.
How do you compare your presence with other brands?
Segment by segment: for each group of questions you see the share of answers that name you and who is suggested alongside you, without adding different segments together.
What do you do if the answer attributes the wrong recall?
You publish a clear recalls page by model and year, report the articles that confuse the models and check the answer at the next cycle.
Does the platform also work for dealerships?
Yes: each location has its own local questions, opening hours and reviews, and the network is read location by location.
Related paths
After “Automotive and mobility”, the next step.
Each role uses the platform with a different goal. From here you compare the other solutions, the path from brand to verification and the methodology behind the numbers.
Car dealerships
Car dealerships: the brands you sell, your departments and after-sales service as AI assistants report them, with the sources to check before a visit.
ReadElectric vehicles
Electric vehicles: range, charging and incentives for your models in AI answers, kept apart by version and country, with the sources cited.
Read