SCANNED OCTOBER 29, 2026 · ALL REPORTS

Wally Edgar Chevrolet was the answer 1 time out of 8. Someone else took the other 7.

We ran 2 real shopper queries across 4 AI engines: ChatGPT, Perplexity, Gemini, Claude. Every question was built from cars on your lot, in the market you serve — you were a correct answer to all of them.

Fix this →See the evidence ↓

Free to get published. No card, no call.

36 Detroit area dealerships were named for local buyers. Wally Edgar Chevrolet wasn’t one of them.

We asked ChatGPT and Perplexity the questions Detroit area buyers ask — monthly payments, cash budgets, where to buy — and counted every dealership named, you included, the same way.

Les Stanford Chevrolet5 of 216
Page Toyota5 of 216
Suburban Toyota of Troy5 of 216
Avis Ford4 of 216
Fox Buick GMC4 of 216
Wally Edgar Chevroletyou0 of 216

Name mentions among the local dealerships we track. The headline also counts answers that linked your site.

MONTHLY PAYMENTSGemini

“What's a good used commuter car in Ann Arbor, Michigan, USA for under $400 a month?”

Sesi Mazda appears. Wally Edgar Chevrolet does not.

“Sesi Mazda in Ann Arbor often has a selection of used vehicles under $25,000.”

Source cited: www.sesimazda.com ↗

CASH BUDGETSGemini

“Which used SUV should I buy for under $25,000 in Ann Arbor, Michigan, USA?”

Sesi Lincoln and Sesi Mazda appear. Wally Edgar Chevrolet does not.

“Sesi Lincoln / Sesi Mazda: Both Sesi Lincoln and Sesi Mazda in Ann Arbor carry used vehicles under $25,000, including SUVs from brands like Buick, Subaru, Honda, and Mazda.”

Source cited: www.sesilincoln.com ↗

A dated sample of saved ChatGPT and Perplexity answers (October 13, 2026), not shopper traffic or a position inside an answer. See the full Detroit area findings ↗

022 questions across 4 enginesThe questions

WHAT WE ASKED

These are the 2 questions we put to all 4 engines.

Word for word, exactly as a shopper would type them. Every finding below comes from the answers to these, nothing else.

Research questions test documented policies before a dealer visit. Optional inventory questions use your scanned stock.

The questions

“Where should I buy a used car in LAKE ORION, MI?”
BEFORE THE DEALER VISITA saved buyer or supporting research question; its wording does not establish your inventory, services or search demand
“What's a good used SUV under $25,000 in LAKE ORION, MI?”
BEFORE THE DEALER VISITA saved buyer or supporting research question; its wording does not establish your inventory, services or search demand

!cars.com took 2 answers of 7Who won

WHO THE ENGINES RECOMMENDED INSTEAD

One marketplace beat you on your own inventory.

All 2 of these questions were about cars sitting on your lot, in LAKE ORION, the market you serve. You were a correct answer every time, and 7 of 8 went to someone else.

Being linked at the bottom of an answer is not the same as being the answer. Wally Edgar Chevrolet was the recommendation in 1. One competitor split the other 7 between them, which is why no single name below looks like it is beating you. Together, they are.

Who the engines pickedAnswersShare of 8

cars.comMarketplace

e.g. “What's a good used SUV under $25,000 in LAKE ORION, MI?”

Everyone except you7

Wally Edgar Chevrolet (you)1

And the one answer you did win came from Perplexity, one engine. ChatGPT, Gemini and Claude picked you in none of 6.

5 further answers went to no single source we could name, so they are not in the bars above.

!26 of 60 citations went to aggregatorsWhere clicks go

WHERE THE CITATIONS SEND SHOPPERS

60 citations across those 8 answers. 2 send the shopper to you.

Every source an AI answer cites is a door the shopper can walk through. Here's where each of those 60 doors actually leads:

2land on your site26land on aggregators (AutoTrader, CarGurus…)32land somewhere else (competitors, media)

FOLLOW ONE: A REAL CITATION FROM YOUR ANSWERS

cargurus.com/Cars/s-Used-SUV-Crossover-Under-25000-Detroit-bg7_spt380_L1

Your one car, ringed by competitors on cargurus.com

“Used SUVs / Crossovers for Sale Under $25,000 Near Detroit, MI - CarGurus”: the shopper who clicks this citation lands on cargurus.com's results page: every dealer's vehicles in the region, ranked and monetized by cargurus.com, not Wally Edgar Chevrolet's. The engine did its job; the aggregator took the shopper. (Page above is an illustration; click it to see the real thing.)

THE PART THAT COSTS YOU

Your car is the bait. Their competitors are the catch.

A shopper searched for a vehicle Wally Edgar Chevrolet has. cargurus.com earned the citation with your car, then wrapped it in a page of every rival dealer's inventory, ranked and monetized by cargurus.com. The buyer you attracted is now one scroll from a dozen competitors, on a page that works for cargurus.com and against you.

05Wally Edgar Chevrolet named in 4 of 8 answersThe test

THE TEST EVERY SHOPPER RUNS NOW

We asked ChatGPT what buyers ask every day

“Where should I buy a used car in LAKE ORION, MI?”

CHATGPT · REAL ANSWER

If you're looking to buy a used car in Lake Orion, MI, here are several reputable dealerships in and around your area, based on recent online listings and customer ratings:

• Wally Edgar Chevrolet Inc. (certified franchise)

• Located at 3805 S Lapeer Rd, Lake Orion.

• A CARFAX Top‑Rated Lifetime Dealer with a 4.7 average rating from over 700 verified reviews.([carfax.com](

• Offers a wide range of Chevrolet Certified Pre‑Owned vehicles along with other used makes (e.g., Toyota, Buick), each including a free CARFAX report.([carfax.com](

• Provides full-service support with sales, financing, parts, and service, including certified service experts onsite.(wallyedgar.com)

• Class Auto Exchange Inc. (independent dealership)

• Located at 1031 Elm Ave, Lake Orion.

• Offers a variety of makes such as Chevrolet, Ford, Honda, Dodge, and more, focusing on customer care, vehicle history reports, and assistance with financing.([classautoexchangeinc.com](

…

carfax.comwallyedgar.comclassautoexchangeinc.com ← a competitorskalnekford.com · listing pagevictorymotorssuperstore.comreviews.birdeye.com

ENGINE BY ENGINE

ChatGPT

Cited you, never picked you · 1 of 2

Gemini

Cited you, never picked you · 1 of 2

Perplexity

Recommended you · 1 of 2

Claude

Named you, never linked you · 1 of 2

THE FULL TEST: EVERY QUERY, EVERY ENGINE

BEFORE THE DEALER VISIT · A saved buyer or supporting research question; its wording does not establish your inventory, services or search demand

“Where should I buy a used car in LAKE ORION, MI?”

ChatGPTCited, not pickedGeminiCited, not pickedPerplexityRecommendedClaudeNamed

BEFORE THE DEALER VISIT · A saved buyer or supporting research question; its wording does not establish your inventory, services or search demand

“What's a good used SUV under $25,000 in LAKE ORION, MI?”

ChatGPTAbsentGeminiAbsentPerplexityAbsentClaudeAbsent

Wally Edgar Chevrolet was missing from 4 of 8 answers. Every answer you're not in is a shopper sent somewhere else.

!Answer pages for 1 of 2 questions your stock earnsMissing answers

THE QUESTIONS YOU’RE NOT ANSWERING

Your stock earns 2 research questions. Your site answers 1.

Shoppers put these questions to AI assistants before they know a year, make or model to search for — and each one is a question about LAKE ORION. Engines retrieve pages; a site with no page shaped like the question has nothing to be retrieved for. Every question below is earned by cars we read on your own site, and every “answered” links the page of yours that proves it.

“can I get a car loan with bad credit in LAKE ORION?”no page — needs a credit/financing answer page
“what's my car worth as a trade-in in LAKE ORION?”ANSWERED — YOUR PAGE ↗

The fix

What we would do about it

THE FIX: HOW VIN INDEX WORKS

We make Wally Edgar Chevrolet the answer, and the click lands on you.

Aggregators win those queries because they publish thousands of structured, machine-readable pages. So do we, for your inventory. Here's the same question the aggregator just took from you, answered by a page you own:

wallyedgar.vinindex.ai/answers

VIN INDEX ANSWER · wallyedgar.vinindex.ai

“Where should I buy a used car in LAKE ORION, MI?”

Wally Edgar Chevrolet has matching vehicles near LAKE ORION, each on its own page built for AI to read, quote, and route the shopper to you.

Your matching vehicle

A near LAKE ORION match

YOUR LOT

The rest of your matching inventory

Every unit its own citable page

YOUR LOT

Every row is yours

PREVIEW: BUILT FROM YOUR REAL INVENTORY ONCE YOUR FEED IS CONNECTED

THE SYSTEM BEHIND IT

Not a one-time cleanup, but a system that keeps Wally Edgar Chevrolet in the answers as your inventory, and the questions shoppers ask, keep changing.

TRACKwhat shoppers ask

OPTIMIZEevery VIN

BUILDthe answer pages

DISTRIBUTEfeeds + agent tools

MEASUREwho got cited

…and repeat.

1We track the real questions, and who gets named

You just saw the first turn: we ran 2 live queries on Wally Edgar Chevrolet across the AI engines and watched whether you were named. Every gap becomes the next page we build: track, build, measure, build more, a loop that compounds your coverage.

CHATGPT · AI MODE · PERPLEXITY · GEMINI

2A page for every question they ask

For every question shoppers actually ask (“best used truck under $40k in LAKE ORION”, “AWD SUV for winter”, “SUV that seats seven”, “financing with bad credit”), we build the page that answers it, stocked with your matching vehicles, real payment math, and eligibility rules. The generic searches no single listing can answer, answered by a page you own.

A PAGE PER SHOPPER QUESTION

3Every VIN published, not a sample

Your whole feed is rebuilt for AI: a fast page per vehicle that a crawler reads without running a line of JavaScript, carrying the full specs, market position, financing scenarios and an answer-first summary an engine can quote, refreshed within an hour of every inventory change.

EVERY VIN · ~1H FRESH

4We hand AI assistants a direct line to your inventory

Beyond pages, your live inventory is something AI assistants and shopping agents can query directly. When one goes looking for matching cars it checks your stock in real time and routes the shopper straight back to you, current and attributed to you.

A LIVE LINE TO YOUR STOCK

5We publish where shoppers already are

Syndication feeds push your vehicles into the ChatGPT, Microsoft Copilot and Google shopping tools on a rolling refresh, so you show up inside the assistants shoppers already use, not only when they happen to land on your site.

SYNDICATED · CHATGPT · COPILOT · GOOGLE

6Your lead, and the proof it's working

The shopper routes to your page and the lead lands in your inbox or CRM, never brokered, never shared with another dealer. And you get first-party proof: which engines named you, which agents pulled your inventory, which pages earned the visit.

FIRST-PARTY ATTRIBUTION

Fix this →Free to start, no card. You pick your plan at the last step.

Under the hood

Why it happens, and how to check us

07The HTML an AI crawler actually receives from youWhat AI sees

WHY THIS HAPPENS

What shoppers see vs. what AI can read

SHOPPERS SEE THIS

<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8" />
<title>New Chevrolet Inventory | Auto Dealership in Lake Orion, MI</title>
<link rel="next" href="//www.wallyedgar.com/searchnew.aspx?pt=2" >
<link rel="preload" href="/resources/vhcliaa/pages/searchResultsPage/searchResultsPageWasabiBundle.min.js?v=3.98.0+20261027.3.764147dc42597eb2dce3ce89111db6514adfe020" as="script">
<link rel="preload" fetchpriority="high" as="image" href="/resources/vhcliaa/components/spaCosmos/skeletonLoaders/vehicle-card-skeleton-grid.svg" type="image/svg+xml">
<link rel="preload" fetchpriority="high" as="image" href="/resources/vhcliaa/components/spaCosmos/skeletonLoaders/vehicle-card-skeleton-list.svg

AI READS THIS

!5 of 6 checks need workSite checks

STEP BY STEP

4 things standing between your inventory and AI answers

1Structured dataAT RISK

No Vehicle structured data was found in the HTML returned to the crawler. Engines can read prices on screen, but have nothing machine-readable to trust or cite.

2Agentic capabilityAT RISK

An assistant can read some of your data, but most actions a buyer asks for, like financing scenarios or a structured lead, have no machine interface to call.

3Content qualityAT RISK

This is navigation/template boilerplate with no actual vehicle inventory data. No specific year, make, model, trim, mileage, price, VIN, or features are visible, only menu items, disclaimers, and generic copy about the Chevy lineup.

4Page renderingNEEDS WORK

Your inventory browse pages are JavaScript-rendered: a crawler that lands on your listings gets 594,013 characters of HTML with zero vehicles in it, so it cannot discover cars by browsing. But your individual vehicle pages return static HTML, so an AI that reaches them (through your sitemap or a link) can still read each car. The gap is discovery, not the detail pages: give the crawlers a sitemap of your vehicle URLs and you close it.

09What an assistant can do today, and on VIN IndexToday vs VIN Index

WHAT AN ASSISTANT CAN DO TODAY VS ON VIN INDEX

What an assistant can do	Your site	VIN Index
Found
Search your inventory by criteria
Get a single vehicle by VIN
Real-time availability
Convert
Financing scenarios
Trade-in appraisal
Structured lead with attribution
Be discovered
Zero-setup discovery files
ChatGPT Shopping feed	—
Copilot / UCP feed	—

VIN Index adds every missing capability automatically. A — means the capability is not externally detectable, we could not verify it from outside your site.

10Every number here, checkable yourselfReceipts

DON'T TAKE OUR WORD FOR IT

AI Readiness: D · 41/100

Your site grades D. AI engines cited you in 2 of 8 answers.

Paste the prompt into ChatGPT, Claude, or Gemini and it will independently check the findings above against your live site.

For your website person

The six checks behind the grade, with the evidence for each. Hand this to whoever manages your website. Every finding is a provable fact about what an AI crawler received.

Structured data

Can AI trust your vehicle facts?

Failing

No Vehicle structured data was found in the HTML returned to the crawler. Engines can read prices on screen, but have nothing machine-readable to trust or cite.

The fixVIN Index does this

VIN Index states your price, mileage and VIN on every listing in the form engines can trust and quote back.

See the detail

What we checked

Whether your pages carry machine-readable structured data (schema.org Vehicle and Offer) an engine can quote with confidence.

How we tested

We parse a real vehicle detail page for JSON-LD Vehicle/Offer markup, including price and currency.

What it means

Without structured data an engine can read your prose but can’t reliably extract price, mileage, or specs, so it hedges or skips you.

Vehicle (schema.org): Not found
Offer / price: Not found
AutoDealer / Organization: Found
Valid JSON-LD blocks: 3

Agentic capability

Can AI do anything with your inventory?

Failing

An assistant can read some of your data, but most actions a buyer asks for, like financing scenarios or a structured lead, have no machine interface to call.

The fixVIN Index does this

VIN Index gives assistants a direct line to your stock, so one can search your inventory, pull a specific car and start a lead, not just read a page.

See the detail

What we checked

Whether an assistant has a machine interface to act, search your stock, pull a VIN, request financing, or submit a lead.

How we tested

We look for an agent endpoint (MCP / WebMCP) or structured action declarations exposed by your site.

What it means

Without one, an assistant can describe your cars but can’t do anything, so every buyer action dead-ends at a human form.

Search your inventory by criteria: Detected
Get a single vehicle by VIN: None detected
Real-time availability: None detected
Financing scenarios: None detected
Trade-in appraisal: None detected
Structured lead with attribution: None detected
Zero-setup discovery files: Detected
ChatGPT Shopping feed: Not externally detectable
Copilot / UCP feed: Not externally detectable

Content quality

Is your vehicle text worth citing?

Failing

The fixVIN Index does this

VIN Index gives each listing the condition detail and market context an assistant can lift straight into an answer.

See the detail

What we checked

Whether your visible vehicle descriptions are fact-dense and self-contained enough for an engine to quote.

How we tested

We score the visible inventory text for specific, complete, citable detail, real specs and no mid-sentence truncation.

What it means

Thin or truncated descriptions give an engine nothing quotable, so it summarizes a competitor’s listing instead of yours.

Citation-readiness score: 2 / 100
Example improvement: Display actual vehicle cards with concrete details like: '2024 Chevrolet Silverado 1500 LTZ | 1,245 miles | $42,995 | VIN: 1GCUY...'. Remove template text and show real inventory facts that can be cited.

Page rendering

Can AI read your vehicle pages?

Needs work

The fixVIN Index does this

VIN Index republishes every car as a page a crawler reads start to finish, without running a line of JavaScript.

See the detail

What we checked

Whether your vehicles are present in the raw HTML an AI crawler receives, and whether the named AI crawlers are allowed in.

How we tested

We fetch your page with no JavaScript (the way ChatGPT’s and Claude’s crawlers read), count the readable vehicles, and probe whether each engine’s crawler gets through.

What it means

If your cars only appear after JavaScript runs, most AI crawlers see an empty page and have nothing to cite when a buyer asks.

Bytes returned to a no-JS crawler fetch: 594,013 chars of HTML
Vehicles readable in that HTML: Yes
Individual vehicle page: Static HTML

llms.txt / sitemap / discovery

Can AI discover you the modern way?

Needs work

Your sitemap lists 65 vehicle pages, which is how crawlers find your whole lot, and some discovery files are present. The remaining conventions are emerging with no measured citation lift yet, so this is a forward-looking signal.

The fixVIN Index does this

VIN Index hands agents a map straight to every vehicle you have, so they find the whole lot rather than whatever they stumble onto.

See the detail

What we checked

Whether you publish the discovery files agents look for, llms.txt, an agent card, and a sitemap that actually lists your vehicle pages.

How we tested

We fetch /llms.txt and agent-discovery files, and walk your sitemap to see whether it enumerates individual VDP URLs.

What it means

These conventions are emerging with no proven citation lift yet, but a sitemap that lists every VDP is how index crawlers find your whole lot.

/llms.txt: Found
/.well-known/mcp.json: Not found
/.well-known/agent-card.json: Not found
/.well-known/ucp: Not found
<link rel="mcp-server">: Not found
<link rel="agent-card">: Not found
Sitemap lists vehicle pages: 65 VDP URLs

Robots / crawler access

Is AI even allowed in?

Passing

Your robots.txt allows the AI crawlers that matter. Nothing here is turning assistants away.

See the detail

What we checked

Whether your robots.txt permits the crawlers that feed AI search (and doesn’t quietly wall them out).

How we tested

We read your robots.txt and check the rules that apply to AI and search engine user-agents.

What it means

A disallow here removes you from the indexes AI assistants pull from, no matter how good the rest of your site is.

ChatGPT's training crawler (GPTBot): Allowed
ChatGPT's search crawler (OAI-SearchBot): Allowed
ChatGPT's live fetcher (ChatGPT-User): Allowed
Claude's training crawler (ClaudeBot): Allowed
Claude's search crawler (Claude-SearchBot): Allowed
Perplexity's search crawler (PerplexityBot): Allowed
Gemini's training crawler (Google-Extended): Allowed
Google's search crawler (Googlebot): Allowed

Per-engine crawler probe (each bot’s real user-agent)

Search index crawlers

Build the indexes ChatGPT, Gemini and Copilot answer from. A block here is the serious one: it keeps you out of AI search.

ChatGPTGoogleBingPerplexity

On-demand fetchers

Fetch your page when a shopper asks an assistant to “check this dealer.” A block breaks that.

ChatGPTClaude

Training crawlers

Crawl to train models. Blocking these only opts you out of free training; you stay citeable in search.

ChatGPTClaude

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