AI READINESS REPORTfrankmanmotors.comJUNE 9, 2026Fix this — get listed freeFix this→

SCANNED JUNE 9, 2026 · ALL REPORTS

CITED IN 1 OF 12 ANSWERS

B77/100AI readiness

frankmanmotors.com is missing from AI answers shoppers trust.

We ran 3 real shopper queries across 4 AI engines — ChatGPT (API), Perplexity (API), Gemini (API), Claude (API). Your dealership was cited in 1 of 12 answers — and absent from the rest.

Fix this →See the evidence ↓

Free to get published. No card, no call.

frankmanmotors.com

WHAT AI READS INSTEAD

<!DOCTYPE html>
<html lang="en-US" prefix="og: https://ogp.me/ns#">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1">
    <link rel="profile" href="http://gmpg.org/xfn/11">
    <link rel="pingback" href="https://frankmanmotors.com/xmlrpc.php">

    <link rel="dns-prefetch" href="//tags.tiqcdn.com">
<script type="text/javascript">
var utag_data = {
    "site_nam
// no llms.txt
// no vin, no trim

200 vehicle pages AI can't parse

Cited 1 of 12 times

WHAT AI READS INSTEAD

<!DOCTYPE html>
<html lang="en-US" prefix="og: https://ogp.me/ns#">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1">
    <link rel="profile" href="http://gmpg.org/xfn/11">
    <link rel="pingback" href="https://frankmanmotors.com/xmlrpc.php">

    <link rel="dns-prefetch" href="//tags.tiqcdn.com">
<script type="text/javascript">
var utag_data = {
    "site_nam
// no llms.txt
// no vin, no trim

1 / 12

AI answers that cite frankmanmotors.com

200

Vehicle pages invisible to AI crawlers

WHO THE ENGINES CITED INSTEAD

9 other dealerships got cited in these answers. frankmanmotors.com was cited in 1 of 12 answers.

Every name below is a source an AI engine cited in the 12 answers we ran for you. Click any one of them to open the citation.

siouxfallsford.com

cited in 7 of 12 answers

billionauto.com

cited in 6 of 12 answers

luxuryautomallofsiouxfalls.com

cited in 5 of 12 answers

siouxfallslincoln.com

cited in 3 of 12 answers

swtautosale.com

cited in 1 of 12 answers

jrautosiouxfalls.com

cited in 1 of 12 answers

premierautosd.com

cited in 1 of 12 answers

transwest.com

cited in 1 of 12 answers

verneidehonda.com

cited in 1 of 12 answers

their own website was citednamed in Google’s answer panel

frankmanmotors.com was cited in 1 of 12 answers.

WHERE THE CITATIONS SEND SHOPPERS

83 citations across those 12 answers. 1 sends the shopper to you.

Every source an AI answer cites is a door the shopper can walk through. Here's where each of those 83 doors actually leads:

1land on your site35land on aggregators (AutoTrader, CarGurus…)47land somewhere else (competitors, media)

FOLLOW ONE — A REAL CITATION FROM YOUR ANSWERS

edmunds.com/used-suv-sioux-falls-sd/?utm_source=openai

frankmanmotors.com's car

RIVAL

YOUR CAR

RIVAL

Your one car, ringed by competitors — on edmunds.com

“Used SUV for Sale in Sioux Falls, SD | Edmunds” — the shopper who clicks this citation lands on edmunds.com's results page: every dealer's vehicles in the region, ranked and monetized by edmunds.com — not frankmanmotors.com'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 frankmanmotors.com has. edmunds.com earned the citation with your car — then wrapped it in a page of every rival dealer's inventory, ranked and monetized by edmunds.com. The buyer you attracted is now one scroll from a dozen competitors, on a page that works for edmunds.com and against you.

THE TEST EVERY SHOPPER RUNS NOW

We asked ChatGPT (API) what buyers ask every day

“used SUV under $140,000 for sale near Sioux Falls, SD”

CHATGPT (API) · REAL ANSWER

Here are several great used SUVs for sale near Sioux Falls, SD—each well under your $140,000 budget—with listings from reputable dealers and marketplaces. All prices are current as of June 9, 2026:

---

1. 2023 GMC Terrain SLT — ~$22,000 (~3 miles away)

• Price: $22,000 (about $2,600 below market value)

• Highlights: AWD, leather seats, navigation, backup camera

• Details: Located just 3 miles from Sioux Falls, this compact premium SUV is in excellent shape, recently listed on March 6, 2026 ([edmunds.com](

---

2. 2018 Ford Explorer Base — ~$12,999 (~3 miles away)

• Price: $12,999 (roughly $1,600 below market)

…

edmunds.comluxuryautomallofsiouxfalls.com ← a competitorpremierautosd.com

THE FULL TEST — EVERY QUERY, EVERY ENGINE

“used SUV under $140,000 for sale near Sioux Falls, SD”

ChatGPTAbsentGeminiAbsentPerplexityAbsentClaudeAbsent

“used truck under $75,000 for sale near Sioux Falls, SD”

ChatGPTAbsentGeminiAbsentPerplexityAbsentClaudeAbsent

“used Chevrolet under $45,000 for sale near Sioux Falls, SD”

ChatGPTAbsentGeminiAbsentPerplexityAbsentClaudeCited

frankmanmotors.com was missing from 11 of 12 answers. Every answer you're not in is a shopper sent somewhere else.

THE FIX — HOW VIN INDEX WORKS

We make frankmanmotors.com 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:

frankmanmotors.vinindex.ai/answers

VIN INDEX ANSWER · frankmanmotors.vinindex.ai

“used SUV under $140,000 for sale near Sioux Falls, SD”

frankmanmotors.com has matching vehicles near Sioux Falls — including a 2024 Jeep Grand, each on its own page built for AI to read, quote, and route the shopper to you.

2024 Jeep Grand

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 — a system that keeps frankmanmotors.com 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 Sioux Falls”, “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 3 live queries on frankmanmotors.com 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-US" prefix="og: https://ogp.me/ns#">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1">
    <link rel="profile" href="http://gmpg.org/xfn/11">
    <link rel="pingback" href="https://frankmanmotors.com/xmlrpc.php">

    <link rel="dns-prefetch" href="//tags.tiqcdn.com">
<script type="text/javascript">
var utag_data = {
    "site_name": "Frankman Motor Company",
    "site_description": "Used Car Dealership In Sioux Falls",
    "page_type": "page",
    "post_id": 16475,
    "post_title": "Welcome To Frankman Motor Company",
    "post_author": "Cole Frankman",
    "post_date": "2020\/10\/22",
    "edit_lock":

AI READS THIS

STEP BY STEP

3 things standing between your inventory and AI answers

1Page renderingNEEDS WORK

Your site refuses OAI-SearchBot, ChatGPT-User, Claude-User, PerplexityBot at the network layer, even though your robots.txt invites them in — so engines that depend on those crawlers (ChatGPT through Bing, and Perplexity) can't read your pages directly and fall back to third-party listings like AutoTrader. But you still allow Googlebot, bingbot, so engines that read those indexes — Google's AI Overviews and Gemini, and Claude through Brave — can find and cite your own pages. The fix is to allowlist the blocked crawler user-agents (almost always a Cloudflare/WAF bot rule) so every engine reaches you, not just some.

2Agentic capabilityNEEDS WORK

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

Your sitemap lists 200 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.

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.

DON'T TAKE OUR WORD FOR IT

AI Readiness: B · 77/100

Your site grades B. AI engines cited you in 1 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.

Page rendering

Can AI read your vehicle pages?

Needs work

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
OAI-SearchBot request: Refused at the network layer
Bytes returned to GPTBot: 778,753 chars of HTML
Vehicles readable in that HTML: Yes

Agentic capability

Can AI do anything with your inventory?

Needs work

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: 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: Detected
ChatGPT Shopping feed: None detected
Copilot / UCP feed: None detected

llms.txt / sitemap / discovery

Can AI discover you the modern way?

Needs work

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: Found
/.well-known/mcp.json: Not found
/.well-known/agent-card.json: Not found
Sitemap lists vehicle pages: 200 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: 7

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

Content quality

Is your vehicle text worth citing?

Passing

Limited vehicle-specific details in main narrative; featured listings provide good data but lack descriptive context about condition, features, or selling points beyond specs

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 featured vehicle descriptions with condition highlights, key features, and brief market context. For example: '2024 Jeep Grand Cherokee L Overland - Premium leather, panoramic sunroof, recently serviced, one-owner trade-in with full service history' would strengthen citation-readiness beyond VIN and price alone

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 →