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DealerScout.ai uses advanced AI to help dealership buyers identify private seller listings on Facebook Marketplace. DealerScout.ai uses AI to classify vehicle sellers on Facebook Marketplace, helping dealership buyers quickly distinguish private sellers from dealers. HOW IT WORKS Stage 1 – Shallow Classification: Instantly scans listing metadata (seller type, image pipeline, title format) to produce an initial classification as you browse. Stage 2 – Deep Classification: When you open a listing, DealerScout.ai analyzes the seller's inventory count, listing description language, and photo characteristics to refine the classification. Stage 3 – Your Verdict: Review the AI analysis and set your own final verdict. Mark listings as Messaged, Not Interested, or Revisit to build your follow-up pipeline. FEATURES - AI-powered seller classification with color-coded badges (Likely Private, Uncertain, Likely Dealer, Dealer) - Vehicle type detection (Car, Truck, Motorcycle, RV, Boat, ATV, Trailer) - Follow-up pipeline tracking (Messaged, Revisit, Not Interested) - Hide Known Dealers toggle to filter out dealer listings from your feed - Hide Other Vehicle Types toggle to focus on cars and trucks only WHO IS THIS FOR DealerScout.ai is built for dealership inventory buyers who source vehicles from Facebook Marketplace. Stop wasting time clicking on dealer listings — focus on real private-party opportunities. PRIVACY DealerScout.ai only activates on Facebook Marketplace pages. No personal data is collected or shared. All classification data is stored locally in your browser. See our full privacy policy at https://dealerscout.ai/privacy.
Apr 7, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.