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AI visibility for dealerships

Tibly for car dealerships.

Buyers who used to start on Google or Autotrader now ask ChatGPT “best used car dealer near me” or “is $28,500 a fair price for a 2022 RAV4?” — and get back 2–3 dealership names. Tibly runs those questions across every major AI engine daily, shows you who gets recommended and why, and drafts the content that puts your store on the list.

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Why dealers switch

The shopping list got shorter, and AI writes it.

A buyer used to visit five lots. Now they ask one question, get two or three dealer names, and show up already decided. If your store isn't named, that up never walks in.

2–3

Dealers a typical AI answer names. Everyone else is invisible.

8 engines

ChatGPT, Gemini, AI Overviews, Perplexity, and more. Each keeps its own list.

Daily

Reruns of every buyer question, so you know the moment the store across town takes your spot on “dealer with no-haggle pricing near me.”

What you get

Built for the questions that fill your lot with buyers.

Car shoppers ask AI about price fairness, trade-in value, financing, and which dealer to trust. Tibly tracks the exact phrasings your next sale starts with.

Prompts

Track the prompts buyers actually type

We monitor the real questions that open a dealership search: “best used car dealer near me,” “is this a fair price for a 2022 RAV4,” “which dealer gives the best trade-in value.” You see the answers those prompts produce across every engine — the actual recommendation text a buyer reads before choosing a lot.

Competitors

Scored answers: who got named, in what order

Every response is scored — which dealerships were recommended, in what position, and how each engine described them. You'll know whether ChatGPT calls you “a transparent dealer with strong service reviews” or steers buyers to the franchise store across town, and who owns the used-truck questions in your market.

Sources

See which sources AI trusts for dealers

Engines lean on Google reviews, DealerRater, Cars.com, CarGurus ratings, and Edmunds dealer pages when they pick names. Tibly shows the exact pages cited in each answer, so you know whether your 900 Google reviews or a three-year-old DealerRater complaint is deciding who gets the recommendation.

Actions

Drafted fixes for the pages that win

Tibly drafts the content engines actually cite: transparent pricing pages that explain your fees up front, trade-in guides (“what we pay and how we calculate it”), model-specific inventory pages, and financing FAQs for credit-worried buyers. You publish; the engines start quoting you.

Questions we track

Every phrasing of “which dealer should I buy from?”

Buyers slice the question by model, budget, trade-in, credit, and trust. We track all of it.

  • Dealer picks: “best used car dealer near me,” “most trustworthy Toyota dealer in <city>”
  • Price checks: “is $28,500 a fair price for a 2022 RAV4,” “which dealers have no-haggle pricing”
  • Trade-in questions: “which dealer gives the best trade-in value,” “should I sell to CarMax or trade in”
  • Financing: “dealer that works with bad credit near me,” “best dealer for first-time buyers”
  • Model shopping: “where to buy a used F-150 near me,” “certified pre-owned Honda dealer in <city>”
  • Trust checks: “<your dealership> reviews,” “<your dealership> vs <competitor>”
  • Your own questions: add anything your customers ask, in plain English
FAQ

What dealers ask us.

Straight answers — the same kind we want AI engines giving about your store.

Do car buyers really use ChatGPT to pick a dealership?
Yes, and the pattern is telling: buyers use AI for the questions they don't trust a salesperson to answer — “is this price fair,” “what's my trade really worth,” “which dealer won't play games.” The engine answers with two or three dealer names and a reason for each. The buyer walks in having already chosen. If your store isn't in that answer, you never got a chance to make your pitch.
We spend heavily on Cars.com and Autotrader. Doesn't that cover this?
Listing marketplaces put your inventory in front of shoppers who browse them. AI engines are a different front door: they compose a recommendation from Google reviews, DealerRater, CarGurus ratings, and dealer websites, and they name specific stores. Your marketplace spend doesn't influence what ChatGPT says when someone asks “most trustworthy dealer near me.” Tibly shows you what each engine says today and which sources drive it.
How is this different from our reputation management tool?
Reputation tools help you collect and respond to reviews. Tibly measures the output: what AI engines actually recommend when buyers ask real questions in your market — who gets named, in what order, described how, and citing which sources. Reviews are one input among several. Dealers with great review scores still lose AI recommendations to competitors whose websites answer pricing and trade-in questions more directly.
What content actually gets a dealership recommended?
In our tracking, engines favor dealers who publish what buyers are afraid to ask: transparent fee breakdowns, trade-in valuation guides that explain the math, certified pre-owned pages that spell out what inspection actually covers, and financing FAQs for credit-worried shoppers. Tibly identifies which of these your market is missing and drafts them for you, structured the way engines quote them.
What does it cost to get started?
Start with the free report: we run your market's buyer questions across the major AI engines and show you which dealerships are being recommended today, including whether your store appears at all. If you want it monitored continuously, daily tracking starts at $49/month with no contracts — cancel whenever you like. Most dealers run the free report first to see the size of the gap.

Be the answer to “best used car dealer near me”

Run the free report to see who AI recommends in your market, then track it daily from $49/month. No contracts.