SearchMyRide Automotive Intelligence
SearchMyRide Automotive Intelligence Methodology
How SearchMyRide collects, qualifies, aggregates and publishes privacy-safe automotive market intelligence.
What the data shows
Search events are aggregated from SearchMyRide buyer-intent evidence. Personal contact information is not exposed in public reports.
Inventory prices are advertised asking prices, not confirmed transaction prices. Sold-event timing is used only where SearchMyRide has a recorded marketplace status event.
Monthly archive URLs are immutable evidence windows once the month closes. Current live pages continue to update as new evidence arrives.
AI-generated interpretation, when explicitly enabled, receives only already-validated aggregate facts and may not invent statistics or causal explanations.
Publication gates
| Dataset type | Indexing threshold | Protection |
|---|---|---|
| National buyer-demand datasets | At least 100 qualifying searches and 50 unique journeys | Low samples remain noindex or unavailable |
| Model buyer-demand datasets | At least 30 qualifying searches and 15 unique journeys | Prevents thin make/model pages |
| Model inventory datasets | At least 5 live listings | Uses SearchMyRide indexed live inventory |
| Sold/velocity datasets | At least 5 recorded sold events | Avoids unstable time-on-market claims |
| Historical inventory datasets | At least 7 daily SearchMyRide snapshots | History compounds prospectively and is not fabricated |
