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AI visibility for tire shops

Tibly for tire shops.

Tire buyers who used to price-shop across three websites now ask ChatGPT “how much should 4 tires installed cost?” or “Michelin vs Continental for my Camry?” — and get back 2–3 shop 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 shop on the list.

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Why shops switch

The price-shopper now asks one question.

Tires are the most comparison-shopped purchase in the bay. When that comparison happens inside an AI answer instead of across ten tabs, only the 2–3 named shops are in the running.

2–3

Shops 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 tire question, so you know the moment Discount Tire or a competitor takes your spot on “best price on Michelins near me.”

What you get

Built for the questions that fill your bays.

Tire buyers ask AI by brand, by price, by size, and by urgency. Tibly tracks the exact phrasings your next set of four starts with.

Prompts

Track the prompts tire buyers actually type

We monitor the real questions that open a tire purchase: “how much for 4 tires installed,” “best price on Michelin tires near me,” “are cheap tires safe or should I pay more.” You see the answers those prompts produce across every engine — the actual recommendation text a buyer reads before picking a shop.

Competitors

Scored answers: who got named, in what order

Every response is scored — which shops were recommended, in what position, and how each engine described them. You'll know whether ChatGPT calls you “a local shop with fair installed pricing” or sends every tire question to Discount Tire and Costco, and which competitor owns the flat-repair and winter-tire questions in your market.

Sources

See which sources AI trusts for tires

Engines lean on Google reviews, Yelp, Tire Rack's research content, and the big chains' published price pages when they answer tire questions. Tibly shows the exact pages cited in each answer, so you know whether your review profile — or a national chain's pricing page — is what's deciding who gets named in your zip code.

Actions

Drafted fixes for the pages that win

Tibly drafts the content engines actually cite: installed-price pages with real out-the-door numbers by tire size, brand comparison guides (“Michelin vs Continental for a Camry, what we recommend”), and FAQ pages covering rotation, patching, and when two tires are enough. You publish; the engines start quoting you.

Questions we track

Every phrasing of “where should I buy tires?”

Buyers slice the question by brand, price, size, season, and urgency. We track all of it.

  • Price checks: “how much for 4 tires installed,” “cheapest tire shop near me that's good”
  • Brand comparisons: “Michelin vs Continental for a Camry,” “are Kumho tires any good”
  • Size and fitment: “best tires for a RAV4,” “235/45R18 tires near me in stock”
  • Urgent repairs: “flat tire repair near me open now,” “tire shop open Sunday”
  • Seasonal: “best winter tires for <city>,” “when should I switch to all-seasons”
  • Trust checks: “<your shop> reviews,” “<your shop> vs Discount Tire”
  • Your own questions: add anything your customers ask, in plain English
FAQ

What tire shop owners ask us.

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

Do tire buyers really shop through ChatGPT?
Tires are made for it — a research-heavy, price-sensitive purchase where the buyer doesn't know brands or fair prices. They ask “how much should 4 tires installed cost for a Camry?” and “Michelin or Continental?” in one conversation, and the engine answers with specific advice and 2–3 local shops. The buyer arrives already knowing what they want to pay. If you weren't named, you never saw them.
How do we compete with Discount Tire and Costco in AI answers?
The chains win generic questions on brand recognition, but engines answer specific questions specifically — “tire shop open Sunday near me,” “who patches a run-flat,” “235/45R18 in stock today.” Independent shops that publish installed prices, inventory, and hours in plain language win those answers regularly, because the chains' pages are generic. Tibly shows you which questions in your market are winnable right now.
Our installed prices change with the market. Can we still publish pricing?
Yes — engines don't need a fixed price, they need a real range and a shop honest enough to publish one. A page that says “a set of four installed typically runs $600–$900 for a mid-size sedan, here's what's included” beats silence in every answer we track. Ranges with an explanation of what moves the number read as transparency, and transparency is what engines reward in this category.
What content actually gets a tire shop recommended?
In our tracking, engines favor shops whose sites answer the money and fitment questions directly: installed-price pages by tire size with out-the-door numbers, brand comparison guides written for specific vehicles, and FAQ pages on patching versus plugging, rotation intervals, and buying two tires versus four. 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 tire questions across the major AI engines and show you which shops are being recommended today, including whether you appear at all. If you want it monitored continuously, daily tracking starts at $49/month with no contracts — cancel whenever you like. Most shops run the free report first to see the size of the gap.

Be the answer to “how much for 4 tires installed”

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