Vehicle comparison studies using Cardog is one of its core functions and involves the following operational processes:
- 1. Enter the exact query: Enter a specific comparison question in the homepage input box, suggesting the format "[year][make][model] vs [competitor] comparison [parameter]", e.g., "Charging speeds of the 2023 Tesla Model 3 vs. the BMW i4"
- 2. Obtaining structured answers: AI returns comparison tables containing data sources, usually covering:
- Comparison of basic parameters (e.g. horsepower, range, etc.)
- Reliability scores (based on third-party data)
- Cost of use analysis
- 3. In-depth follow-up mechanisms: Additional questions can be asked based on the initial results, such as "which model has more space in the back", and the AI will maintain contextual consistency.
Examples of typical application scenarios:
After entering "fuel consumption comparison of mid-size SUVs", the AI will ask for a specific car model or year; if you enter "differences in active safety features between the 2024 Lexus NX and Acura RDX", you will be provided with a list of feature comparisons and a summary of the review. It is recommended that you work with the sample questions provided by the platform for your first experience.
This answer comes from the articleCardog: Vehicle Information Research and Intelligent Analysis of Automotive Market Data》
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