SCANNED OCTOBER 28, 2026 · ALL REPORTS

Bay Ridge Honda was never the answer to a single question we asked.

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. You were recommended in 0 of 8 answers.

Free to get published. No card, no call.

RECOMMENDED IN 0 OF 8 ANSWERS
F19/100AI visibility

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

62
Site readiness 62/100
AI can mostly read your lot.
0
Presence in AI answers 0/100
No recommendation or citation credit recorded.
0 / 8
AI answers that recommend Bay Ridge Honda
20
Vehicle pages on your site
The evidence

What the engines actually answered

YOUR BROOKLYN RANKING

2 Brooklyn dealerships were named for local buyers. Bay Ridge Honda wasn’t one of them.

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

  1. Bical Auto Mall Buick GMC1 of 36
  2. Hyundai City of Bay Ridge1 of 36
  3. Bay Ridge Hondayou0 of 36

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

CASH BUDGETSGemini

“I have $20,000 cash for a used car in Brooklyn, NY-NJ-CT, USA. What should I buy?”

Bical Auto Mall Buick GMC appears. Bay Ridge Honda does not.

“Shop Around: Dealerships like Plaza Auto Mall, Atlantic Car Sales, Bical Auto Mall Buick GMC, Select Auto Dealers Corp, and Top Line Auto Inc. in Brooklyn and surrounding areas have listed various vehicles under $20,000.”
Source cited: www.bicalbuickgmc.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 New York area findings ↗

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 Brooklyn, NY?”
    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 Brooklyn, NY?”
    BEFORE THE DEALER VISITA saved buyer or supporting research question; its wording does not establish your inventory, services or search demand
WHO THE ENGINES RECOMMENDED INSTEAD

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

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

Being linked at the bottom of an answer is not the same as being the answer. Bay Ridge Honda was the recommendation in none of the 8 answers we tested.

Who the engines pickedAnswers
CA
Cars.comMarketplace
e.g. “Where should I buy a used car in Brooklyn, NY?”
2
CG
CarGurusMarketplace
e.g. “What's a good used SUV under $25,000 in Brooklyn, NY?”
1
PA
Plaza Auto MallRival dealer
e.g. “Where should I buy a used car in Brooklyn, NY?”
1
Everyone except you8
Bay Ridge Honda (you)0

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

WHERE THE CITATIONS SEND SHOPPERS

65 citations across those 8 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 65 doors actually leads:

24
41
0land on your site24land on aggregators (AutoTrader, CarGurus…)41land somewhere else (competitors, media)
FOLLOW ONE: A REAL CITATION FROM YOUR ANSWERS
cargurus.com/Cars/s-Used-SUV-Crossover-Under-25000-Brooklyn-bg7_spt380_L
cargurus.com/Cars/s-Used-SUV-Crossover-Under-25000-Brooklyn-bg7_spt380_L
bayridgehonda.com's car
RIVAL
RIVAL
YOUR CAR
RIVAL
RIVAL
RIVAL
RIVAL
RIVAL
Your one car, ringed by competitors on cargurus.com

“Used SUVs / Crossovers for Sale Under $25,000 Near Brooklyn, NY - 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 Bay Ridge Honda'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 Bay Ridge Honda 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.

THE TEST EVERY SHOPPER RUNS NOW

We asked ChatGPT what buyers ask every day

“Where should I buy a used car in Brooklyn, NY?”
CHATGPT · REAL ANSWER
If you're looking to buy a used car in Brooklyn, NY, here are several reputable and well-reviewed options—each offering distinct advantages depending on what you're seeking:
Strong Local Dealerships (Great Reviews, Established Presence)
• Dream Auto Sales Inc – Located at 1580 Bushwick Ave, this dealership boasts a 4.9 rating and nearly 480 reviews, signaling strong customer satisfaction.([reviews.birdeye.com](
• Eldorado Auto Sales – At 1191 Utica Ave, it also holds a 4.9 rating with over 130 reviews, indicating consistent quality.([newyorklists.com](
• Auto Empire – Found at 2739 86th St, it maintains a 4.8 rating with over 800 reviews—another solid, highly-rated option.([newyorklists.com](
Top-Tier Independent Dealerships
A recent ranking (as of August 2026) highlights some of Brooklyn’s top-rated independent used car sellers:
• Signature Auto Group – 9265 4th Ave; 5.0 rating across 2,594 Google reviews.([a3brands.com](
• Marquis Auto – 2444 Coney Island Ave; 4.9 rating across 847 reviews.([a3brands.com](
…
reviews.birdeye.comnewyorklists.coma3brands.complazaautomall.com ← a competitorbbb.orga860-gpp.nyc.gov
ENGINE BY ENGINE
ChatGPT
Never picked you · 0 of 2
Gemini
Named you, never linked you · 1 of 2
Perplexity
Never picked you · 0 of 2
Claude
Never picked you · 0 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 Brooklyn, NY?”
ChatGPTAbsentGeminiNamedPerplexityAbsentClaudeAbsent
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 Brooklyn, NY?”
ChatGPTAbsentGeminiAbsentPerplexityAbsentClaudeAbsent
Bay Ridge Honda was missing from 7 of 8 answers. Every answer you're not in is a shopper sent somewhere else.
THE QUESTIONS YOU’RE NOT ANSWERING

Your stock earns 6 research questions. Your site answers 5.

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 Brooklyn. 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.

These 6 are the tip: counted across every category, budget band and payment combination your feed actually covers, your stock qualifies you for 49 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 Bay Ridge Honda 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:

bayridgehonda.vinindex.ai/answers
bayridgehonda.vinindex.ai/answers
VIN INDEX ANSWER · bayridgehonda.vinindex.ai
“Where should I buy a used car in Brooklyn, NY?”

Bay Ridge Honda has matching vehicles near Brooklyn, including a 2016 Honda Accord, each on its own page built for AI to read, quote, and route the shopper to you.

2016 Honda Accord
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 Bay Ridge Honda 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 Bay Ridge Honda 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 Brooklyn”, “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"><script>if(navigator.userAgent.match(/MSIE|Internet Explorer/i)||navigator.userAgent.match(/Trident\/7\..*?rv:11/i)){var href=document.location.href;if(!href.match(/[?&]nowprocket/)){if(href.indexOf("?")==-1){if(href.indexOf("#")==-1){document.location.href=href+"?nowprocket=1"}else{document.location.href=href.replace("#","?nowprocket=1#")}}else{if(href.indexOf("#")==-1){document.location.href=href+"&nowprocket=1"}else{document.location.href=href.replace("#","&nowprocket=1#")}}}}</script><script>(()=>{class RocketLazyLoadScripts{constructor(){this.v="2.0.5",this.userEvents=["keydown","keyup","mousedown","mouseup","mousemove"
AI READS THIS
STEP BY STEP

3 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.

3llms.txt / sitemap / discoveryNEEDS WORK

Discovery files are present, but your sitemap does not list individual vehicle pages, so AI crawlers cannot reliably find your whole lot, they only see the cars linked on a page they happen to land on. A VDP-listing sitemap is the highest-leverage fix here.

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 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
C
AI Readiness: C · 62/100
Your site grades C. AI engines cited you in 0 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
26

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

llms.txt / sitemap / discovery

Can AI discover you the modern way?

Needs work

Discovery files are present, but your sitemap does not list individual vehicle pages, so AI crawlers cannot reliably find your whole lot, they only see the cars linked on a page they happen to land on. A VDP-listing sitemap is the highest-leverage fix here.

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
None found

Page rendering

Can AI read your vehicle pages?

Passing

A no-JavaScript crawler received 584,375 characters of HTML with readable vehicles in it. Your inventory survives the way AI assistants read it.

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
584,375 chars of HTML
Vehicles readable in that HTML
Yes

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

Vehicle listings lack specific details like mileage, VIN, and condition notes; most entries show only year/make/model/trim/price without self-contained context for citation

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
Expand a listing like '2024 Honda HR-V Sport AWD $24,993' to '2024 Honda HR-V Sport AWD with 15,200 miles, clean title, Sonic Gray Pearl, $24,993 - Finance at 3.99% APR for 48 months' to create citation-ready fact density

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