Car-buyer question set
Agree the markets, models and buying questions to test, including EV choice, finance and servicing.
Sophus3 tests the questions car buyers ask AI assistants, such as which electric car to buy or how finance options compare. We report which brands and models appear, whether the answers are accurate and which websites are cited, so you can prioritise improvements to your online content.
Brand mention rate in sampled responses · %
Ownership questions have the weakest coverage. Inspect the answers and cited sources.
Illustrative interface and fictional data, not a production screenshot or client result. Select a scenario to explore the measures.
| Measure | A | B |
|---|---|---|
| Choosing an EV | 24 | 38 |
| Finance options | 52 | 57 |
| Ownership & servicing | 18 | 29 |
All three values here are fictional brand mention rates in sampled responses. A real study must specify its prompts, markets, models and dates. These are not the published March 2026 benchmark-gap figures shown elsewhere.
How Sophus3 approaches measurement →Sophus3 analysis shows that a major brand can lead in one AI topic and materially underperform in another. The useful question is therefore not “how visible are we?” but “where are we losing visibility, to whom, and what should we change?”
In a March 2026 Sophus3 article, one major European automotive brand appeared in more than 40% of relevant finance responses, yet was 43% behind best-in-class for EVs and 56% behind for aftersales.
More than 40% brand mention rate in relevant AI responses in the Sophus3 analysis.
43% behind the best-in-class brand in the Sophus3 analysis.
56% behind the best-in-class brand in the Sophus3 analysis.
Compare AI recommendations with the models people research on automotive websites. This helps your team see where buyers find your brand and where better information could help them consider your cars.
Repeat a defined set of car-buying questions across AI assistants and markets.
Compare your brand with the automotive category and named competitors.
Check for missing models, incorrect specifications and sources that favour competing brands.
Give your team a list of vehicle and buying information to improve, then check whether the answers change.
Agree the markets, models and buying questions to test, including EV choice, finance and servicing.
See which brands appear, how your models are described and which sources the answers cite.
Get a prioritised list of gaps and inaccuracies to address, then repeat the analysis to monitor changes.
What we measure, what your team receives and how the findings can improve automotive marketing.
It describes whether and how your car brand and models appear when people ask AI assistants buying and ownership questions. Sophus3 tests an agreed set of questions and compares brand mentions, answer accuracy and cited sources across markets and competitors.
An analysis can examine brand and model mentions, position within answers, cited sources, topic coverage, competitor presence and differences between markets or AI systems. Repeated measurement can show where visibility is strengthening, weakening or shifting to another source.
Start by checking where answers omit your models or give incorrect information. We identify gaps in vehicle specifications, buying advice and other relevant content, and review the sources AI assistants cite. Your team can then prioritise improvements and repeat the study to see whether the answers change.
No. Search-engine optimisation helps people find your website in search results; AI visibility concerns how your brand appears in generated answers. Accessible, accurate website content can support both, but AI systems may combine several sources and give different answers to similar questions.
Tell us whether you need competitor benchmarks, campaign measurement, better website tracking or support for a new-market launch.