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SCANNED SEPTEMBER 7, 2026 · ALL REPORTS

Maples Motors Ltd was the answer 1 time out of 12. Someone else took the other 11.

We ran 3 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.

Free to get published. No card, no call.

RECOMMENDED IN ONLY 1 OF 12 ANSWERS
F26/100AI visibility

Your score weighs two things — one is fine, one is not.

69
Site readiness 69/100
AI can mostly read your lot.
8
Presence in AI answers 8/100
It rarely names you.
1 / 12
AI answers that recommend Maples Motors Ltd
146
Vehicle pages on your site

WHAT WE COULD NOT READ

Your pages need JavaScript to show their content.

The HTML returned on the first request carried no readable inventory content.

Roughly 69% of AI crawlers cannot execute JavaScript, so that is the version they read.

We could not tell whether you run more than one location.

Your locations page was not reachable, or not linked where we could find it.

If you do have other stores, engines answering "dealership near me" in those cities have the same problem finding them.

The evidence

What the engines actually answered

YOUR OTTAWA RANKING

33 Ottawa dealerships were named for local buyers. Maples Motors Ltd wasn’t one of them.

We asked ChatGPT and Perplexity the questions Ottawa buyers ask — monthly payments, cash budgets, where to buy — and counted every dealership named, you included, the same way. Across the whole Ottawa area: 0 of 216 answers.

  1. Global Auto Sales6 of 36
  2. Canadian Auto Mall5 of 36
  3. Canada Sagh Auto Sales3 of 36
  4. Janex Auto Sales3 of 36
  5. MyCar Ottawa3 of 36
  6. Maples Motors Ltdyou0 of 36

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

MONTHLY PAYMENTSGemini

“I need a used AWD vehicle for winter in Ottawa, Ontario, Canada. What can I get for CAD $600 a month?”

Bel-Air Toyota and Orr Motors appear. Maples Motors Ltd does not.

“You will need to check local Ottawa dealerships (e.g., Bel-Air Toyota, Orr Motors, MyCar.ca, Clutch) for current availability of these models within your budget.”
Source cited: www.belairtoyota.ca ↗
CASH BUDGETSChatGPT

“I have CAD $20,000 cash to spend on a used car in Ottawa, Ontario, Canada. What should I buy?”

Mini Ottawa appears. Maples Motors Ltd does not.

“Local dealerships such as Orléans Kia and Mini Ottawa offer a range of used vehicles under $20,000.”
Source cited: www.dallasleasereturns.com ↗

A dated sample of saved ChatGPT and Perplexity answers (September 29, 2026), not shopper traffic or a position inside an answer. See the full Ottawa area findings ↗

WHAT WE ASKED

These are the 3 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.

We built them from your own inventory — a car on your lot, your biggest categories, your payments — and anchored them to Ottawa. These are questions you should be showing up for.

The questions
  • “Where can I buy a used 2022 Honda Civic in Ottawa?”
    A CAR ON YOUR LOTthis exact vehicle is in your inventory
  • “used Honda under $30,000 in Ottawa”
    YOUR OWN CATEGORY5 of your vehicles match this question
  • “what car can I get for under $400/month in Ottawa?”
    BUYER RESEARCH10 of your vehicles match this question
WHO THE ENGINES RECOMMENDED INSTEAD

Eight marketplaces and rival dealerships beat you on your own inventory.

All 3 of these questions were about cars sitting on your lot, in Ottawa, the market you serve. You were a correct answer every time, and 11 of 12 went to someone else.

Being linked at the bottom of an answer is not the same as being the answer. Maples Motors Ltd was the recommendation in 1. Eight competitors split the other 11 between them, which is why no single name below looks like it is beating you. Together, they are.

Who the engines pickedAnswers
KO
Kia of OttawaRival dealer
e.g. “what car can I get for under $400/month in Ottawa?”
2
OH
Ottawa HondaRival dealer
e.g. “Where can I buy a used 2022 Honda Civic in Ottawa?”
2
AT
AutoTraderMarketplace
e.g. “used Honda under $30,000 in Ottawa”
1
BH
Barrhaven HondaRival dealer
e.g. “used Honda under $30,000 in Ottawa”
1
CL
ClutchMarketplace
e.g. “what car can I get for under $400/month in Ottawa?”
1
DH
Dow HondaRival dealer
e.g. “used Honda under $30,000 in Ottawa”
1
KT
Kanata ToyotaRival dealer
e.g. “Where can I buy a used 2022 Honda Civic in Ottawa?”
1
MK
Myers Kanata HyundaiRival dealer
e.g. “what car can I get for under $400/month in Ottawa?”
1
Everyone except you11
Maples Motors Ltd (you)1

And the one answer you did win came from Claude, one engine. ChatGPT, Gemini and Perplexity picked you in none of 9.

1 further answer went to no single source we could name, so it is not in the bars above.

WHERE THE CITATIONS SEND SHOPPERS

139 citations across those 12 answers. None 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 139 doors actually leads:

27
112
0land on your site27land on aggregators (AutoTrader, CarGurus…)112land somewhere else (competitors, media)
FOLLOW ONE: A REAL CITATION FROM YOUR ANSWERS
autotrader.ca/cars/honda/civic/my_2022/reg_on/cit_ottawa?utm_source=opena
autotrader.ca/cars/honda/civic/my_2022/reg_on/cit_ottawa?utm_source=opena
maplesmotors.ca's car
RIVAL
RIVAL
YOUR CAR
RIVAL
RIVAL
RIVAL
RIVAL
RIVAL
Your one car, ringed by competitors on autotrader.ca

“2022 Honda Civic for Sale in Ottawa, Ontario | AutoTrader.ca”: the shopper who clicks this citation lands on autotrader.ca's results page: every dealer's vehicles in the region, ranked and monetized by autotrader.ca, not Maples Motors Ltd'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 Maples Motors Ltd has. autotrader.ca earned the citation with your car, then wrapped it in a page of every rival dealer's inventory, ranked and monetized by autotrader.ca. The buyer you attracted is now one scroll from a dozen competitors, on a page that works for autotrader.ca and against you.

THE TEST EVERY SHOPPER RUNS NOW

We asked ChatGPT what buyers ask every day

“Where can I buy a used 2022 Honda Civic in Ottawa?”
CHATGPT · REAL ANSWER
Here are several current listings for used 2022 Honda Civics available in or near Ottawa, Ontario. Each listing includes the dealership or seller and key details to help you narrow down your options. These are based on up-to-date listings as of Monday, September 7, 2026.
---
1. Ottawa Honda Pre‑Owned Centre – 2022 Honda Civic LX
• Mileage: 21,588 km
• Price: $24,857 (taxes and licensing fees extra)
• Location: 955 Richmond Rd, Ottawa, ON
• Available directly from the official Ottawa Honda inventory as of today ([ottawahonda.com](
2. Car Request Auto Sales – 2022 Honda Civic Sedan LX
• Mileage: Approximately 62,000 km
…
ottawahonda.com · listing page ← a competitorautotrader.ca · listing pageclutch.ca · listing page
Maples Motors Ltd is not in this answer. You have a 2022 Honda Civic EX on the lot at $21,998, 59,084 km.
ENGINE BY ENGINE
ChatGPT
Never picked you · 0 of 3
Gemini
Never picked you · 0 of 3
Perplexity
Never picked you · 0 of 3
Claude
Recommended you · 1 of 3
THE FULL TEST: EVERY QUERY, EVERY ENGINE
A CAR ON YOUR LOT · this exact vehicle is in your inventory
“Where can I buy a used 2022 Honda Civic in Ottawa?”
ChatGPTAbsentGeminiAbsentPerplexityAbsentClaudeRecommended
YOUR OWN CATEGORY · 5 of your vehicles match this question
“used Honda under $30,000 in Ottawa”
ChatGPTAbsentGeminiAbsentPerplexityAbsentClaudeAbsent
BUYER RESEARCH · 10 of your vehicles match this question
“what car can I get for under $400/month in Ottawa?”
ChatGPTAbsentGeminiAbsentPerplexityAbsentClaudeAbsent
Maples Motors Ltd was missing from 11 of 12 answers. Every answer you're not in is a shopper sent somewhere else.
THE QUESTIONS YOU’RE NOT ANSWERING

Your stock earns 5 research questions. Your site answers 3.

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 Ottawa. 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.

  • “Which used Honda models hold up best? I'm shopping in Ottawa.”ANSWERED — YOUR PAGE ↗
  • “good used cars under $20,000 in Ottawa”no page — needs an under-$20k page
  • “can I get a car loan with bad credit in Ottawa?”no page — needs a credit/financing answer page
  • “what car can I get for under $400/month in Ottawa?”ANSWERED — YOUR PAGE ↗
  • “what's my car worth as a trade-in in Ottawa?”ANSWERED — YOUR PAGE ↗

These 5 are the tip: counted across every category, budget band and payment combination your feed actually covers, your stock qualifies you for 33 distinct research questions — a computed count of pages your inventory could back, not an estimate.

The fix

What we would do about it

THE FIX: HOW VIN INDEX WORKS

We make Maples Motors Ltd 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:

maplesmotors.vinindex.ai/answers
maplesmotors.vinindex.ai/answers
VIN INDEX ANSWER · maplesmotors.vinindex.ai
“Where can I buy a used 2022 Honda Civic in Ottawa?”

Maples Motors Ltd has matching vehicles near Ottawa, including a 2022 Honda Civic, each on its own page built for AI to read, quote, and route the shopper to you.

2022 Honda Civic
On your VIN Index page
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 Maples Motors Ltd 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 3 live queries on Maples Motors Ltd 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 Ottawa”, “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

WHY THIS HAPPENS

What shoppers see vs. what AI can read

Vehicle page as shoppers see it
SHOPPERS SEE THIS
<!DOCTYPE html>
<html lang="en-US">
<head>
	<meta charset="UTF-8" />
<meta http-equiv="X-UA-Compatible" content="IE=edge">
	<link rel="pingback" href="https://www.maplesmotors.ca/xmlrpc.php" />

	<script type="text/javascript">
		document.documentElement.className = 'js';
	</script>
	
	<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin /><style id="et-builder-googlefonts-cached-inline">/* Original: https://fonts.googleapis.com/css?family=Montserrat:100,200,300,regular,500,600,700,800,900,100italic,200italic,300italic,italic,500italic,600italic,700italic,800italic,900italic&#038;subset=latin,latin-ext&#038;display=swap *//* User Agent: Mozilla/5.0 (Unknown; Linux x86_64) Appl
AI READS THIS
STEP BY STEP

3 things standing between your inventory and AI answers

1Agentic capabilityAT RISK

There is no endpoint an assistant can query. An agent that wants to search your stock, pull a VIN, or check availability has no machine interface to call, only a webpage built for human eyes.

2Page renderingNEEDS WORK

Your inventory browse pages are JavaScript-rendered: a crawler that lands on your listings gets 16,384 characters of HTML with zero vehicles in it, so it cannot discover cars by browsing. But your individual vehicle pages return static HTML with structured data, 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.

3llms.txt / sitemap / discoveryNEEDS WORK

Your sitemap lists 146 vehicle pages, so AI crawlers can enumerate your inventory. Adding llms.txt and an agent-discovery file is the cheap, forward-looking next step.

WHAT AN ASSISTANT CAN DO TODAY VS ON VIN INDEX
What an assistant can doYour siteVIN 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 capability marked ✓ in its column automatically. A — means the capability is not externally detectable, we could not verify it from outside your site.
DON'T TAKE OUR WORD FOR IT
C
AI Readiness: C · 69/100
Your site grades C. AI engines cited you in 0 of 12 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.

Agentic capability

Can AI do anything with your inventory?

Failing

There is no endpoint an assistant can query. An agent that wants to search your stock, pull a VIN, or check availability has no machine interface to call, only a webpage built for human eyes.

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
None 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
None detected
ChatGPT Shopping feed
Not externally detectable
Copilot / UCP feed
Not externally detectable

Page rendering

Can AI read your vehicle pages?

Needs work

Your inventory browse pages are JavaScript-rendered: a crawler that lands on your listings gets 16,384 characters of HTML with zero vehicles in it, so it cannot discover cars by browsing. But your individual vehicle pages return static HTML with structured data, 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.

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
16,384 chars of HTML
Vehicles readable in that HTML
None
Bing's search crawler (bingbot)
Probe refused — inconclusive: this crawler is verified by IP, and refusing look-alikes is standard anti-spoofing
Individual vehicle page
Static HTML + schema

llms.txt / sitemap / discovery

Can AI discover you the modern way?

Needs work

Your sitemap lists 146 vehicle pages, so AI crawlers can enumerate your inventory. Adding llms.txt and an agent-discovery file is the cheap, forward-looking next step.

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
Not 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
146 VDP URLs

Structured data

Can AI trust your vehicle facts?

Passing

Validated Vehicle data is present, with price and currency. Engines can trust and cite your listings.

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)
Found
Offer / price
Found
AutoDealer / Organization
Not found
Valid JSON-LD blocks
2

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

Content quality

Is your vehicle text worth citing?

Passing

Most listings are marked SOLD, making inventory data stale and unreliable for current citation purposes; excessive repetition of navigation menus clutters the visible text.

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
72 / 100
Example improvement
Focus display on active inventory only; for each vehicle, provide consistent fact patterns like: '2022 Honda Civic EX (VIN: 2HGFE2F33NH127774) with 59,084 km, White exterior, Black interior, CVT transmission, priced at $21,998, financed from $172.83 bi-weekly' as shown in several listings, this is citation-ready and specific.

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