Is this your dealership?

We ran this scan from public pages on your website. You can take it over and fix what it found, or ask us to remove it.

AI READINESS REPORTDixie MitsubishiAUGUST 4, 2026Fix this, get listed freeFix this→

SCANNED AUGUST 4, 2026 · ALL REPORTS

AI CRAWLERS REFUSED AT THE DOOR

D48/100AI readiness

Dixie Mitsubishi turns away the crawlers that feed AI answers.

We reached your site fine. OAI-SearchBot, Googlebot, bingbot, ChatGPT-User, Claude-User, PerplexityBot were refused at the network layer — and those are the crawlers the assistants read from, so they fall back to third-party listings instead of your own pages.

Fix this →See the evidence ↓

Free to get published. No card, no call.

dixiemitsubishi.ca

WHAT AI READS INSTEAD

<!doctype html>
<html  lang="en">
    <head>
        <meta charset="utf-8">
        <meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1">
        <meta name="SKYPE_TOOLBAR" content="SKYPE_TOOLBAR_PARSER_COMPATIBLE" >
        
        
        
        
        
















    
    
    

<title>Dixie Mitsubishi | Mitsubishi Dealership in Mississauga</title>
<meta name="description" content="At Dixie Mit
// no llms.txt
// no price, no vin

213 vehicle pages AI can't parse

WHAT AI READS INSTEAD

<!doctype html>
<html  lang="en">
    <head>
        <meta charset="utf-8">
        <meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1">
        <meta name="SKYPE_TOOLBAR" content="SKYPE_TOOLBAR_PARSER_COMPATIBLE" >
        
        
        
        
        
















    
    
    

<title>Dixie Mitsubishi | Mitsubishi Dealership in Mississauga</title>
<meta name="description" content="At Dixie Mit
// no llms.txt
// no price, no vin

0 / 8

AI crawlers your site lets in

213

Vehicle pages invisible to AI crawlers

THE TEST EVERY SHOPPER RUNS NOW

The live engine test hasn’t been run yet

Everything above is the technical scan of your own site. The live engine test — putting real shopper questions to ChatGPT, Perplexity, Gemini and Google’s AI Mode and recording which dealerships they name — hasn’t been run for you yet. Ask us and we’ll run it.

THE FIX: HOW VIN INDEX WORKS

We make Dixie Mitsubishi 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:

dixiemitsubishi.vinindex.ai/answers

VIN INDEX ANSWER · dixiemitsubishi.vinindex.ai

“Best used cars near Mississauga from a local dealership”

Dixie Mitsubishi has matching vehicles near Mississauga, including a 2026 Mitsubishi eclipse cross-es-s-awc, each on its own page built for AI to read, quote, and route the shopper to you.

2026 Mitsubishi eclipse cross-es-s-awc

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 Dixie Mitsubishi 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.

1Every VIN optimized, not a sample

Your whole feed is rebuilt for AI: a fast, server-rendered page per vehicle with full Vehicle schema, a plain-text twin crawlers can read, structured specs, market position, financing scenarios, and an answer-first summary engines can quote, refreshed within an hour of every inventory change.

EVERY VIN · ~1H FRESH

2The facet factory

For every question shoppers actually ask (“best used truck under $40k near Mississauga”, “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 win, you win.

A PAGE PER SHOPPER QUESTION

3We track the real queries: demand builds the pages

You just saw the first turn: we ran 0 live queries on Dixie Mitsubishi 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

4We hand AI agents a direct line to your inventory

Beyond pages, your live inventory is exposed as a tool AI assistants and shopping agents can call directly. When one goes looking for matching cars, it queries your stock in real time and routes the shopper straight back to you, structured, current, and attributed to you.

MCP + WEBMCP AGENT ENDPOINT

5We publish where shoppers already are

Syndication feeds push your vehicles into ChatGPT, Microsoft Copilot and Google's shopping surfaces on a rolling refresh, so you show up inside the tools 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 surface and the lead lands in your inbox or CRM, never brokered, never shared with another dealer. And you get first-party proof: which engines cited you, which agents pulled your inventory, which pages earned the visit.

FIRST-PARTY ATTRIBUTION

Fix this →or see what the paid tiers add →

WHY THIS HAPPENS

What shoppers see vs. what AI can read

SHOPPERS SEE THIS

<!doctype html>
<html  lang="en">
    <head>
        <meta charset="utf-8">
        <meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1">
        <meta name="SKYPE_TOOLBAR" content="SKYPE_TOOLBAR_PARSER_COMPATIBLE" >
        
        
        
        
        
















    
    
    

<title>Dixie Mitsubishi | Mitsubishi Dealership in Mississauga</title>
<meta name="description" content="At Dixie Mitsubishi, check out our new and used Mitsubishi vehicles today. We are your number one dealership for Mitsubishi service in Mississauga as well."><meta name="viewport" content="width=device-width, initial-scale=1.0">
        
        

        







    <!-- Google Site -->

AI READS THIS

STEP BY STEP

4 things standing between your inventory and AI answers

1Page renderingAT RISK

Our request read your inventory fine, but your site refuses OAI-SearchBot, Googlebot, bingbot, ChatGPT-User, Claude-User, PerplexityBot — the crawlers that build the indexes AI search answers from — even though your robots.txt invites them in. An assistant can still surface your cars through third-party listings like AutoTrader, but it can't read or cite your own pages directly, which is where the lead lives. This is almost always a WAF or bot-management rule (Cloudflare and similar) overriding your robots.txt; allowlist these crawler user-agents to fix it.

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

No specific vehicle listings with facts (year, make, model, trim, mileage, price, VIN) are visible in this text, only generic dealership pages and navigation menus

4llms.txt / sitemap / discoveryNEEDS WORK

Your sitemap lists 213 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 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.

DON'T TAKE OUR WORD FOR IT

AI Readiness: D · 48/100

Your site grades D. AI engines cited you in 0 of 0 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.

Page rendering

Can AI read your vehicle pages?

Failing

The fixVIN Index does this

VIN Index republishes every car as static, server-rendered HTML, so a crawler reads your whole lot 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 GPTBot and ClaudeBot read), count the readable vehicles, and probe whether specific AI crawler user-agents get 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.

PerplexityBot request: Refused at the network layer
Claude-User request: Refused at the network layer
ChatGPT-User request: Refused at the network layer
bingbot request: Refused at the network layer
Googlebot request: Refused at the network layer
OAI-SearchBot request: Refused at the network layer
Bytes returned to a no-JS crawler fetch: 278,840 chars of HTML
Vehicles readable in that HTML: None

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 exposes an agent endpoint and a live feed, so an assistant can search your stock, pull a VIN, 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: 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

Content quality

Is your vehicle text worth citing?

Failing

No specific vehicle listings with facts (year, make, model, trim, mileage, price, VIN) are visible in this text, only generic dealership pages and navigation menus

The fixVIN Index does this

VIN Index enriches each listing with a factual condition narrative and market context an assistant can lift verbatim 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: 15 / 100
Example improvement: Include actual vehicle inventory with specific details such as '2024 Mitsubishi Outlander PHEV, 15,000 km, $42,995, VIN: JA4...' to make the content citation-ready for AI systems

llms.txt / sitemap / discovery

Can AI discover you the modern way?

Needs work

Your sitemap lists 213 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 publishes llms.txt, a sitemap, and IndexNow pings, giving agents a machine-readable map straight to every VIN.

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: 213 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: Found
Valid JSON-LD blocks: 3

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.

GPTBot: Allowed
OAI-SearchBot: Allowed
ChatGPT-User: Allowed
ClaudeBot: Allowed
Claude-SearchBot: Allowed
PerplexityBot: Allowed
Google-Extended: Allowed
Googlebot: Allowed

Per-crawler probe (real user-agents)

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.

OAI-SearchBotGooglebotbingbotPerplexityBot

On-demand fetchers

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

ChatGPT-UserClaude-User

Training crawlers

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

GPTBotClaudeBot

Get your inventory in the answers. Start free.

The free plan publishes your inventory structured for AI to read: the foundation, at no cost. No card, no call, live in about an hour.

Fix this →See the plans →