This kit comes out of an Auto Collabs conversation with Bob George about something most stores skip.
Everyone is talking about AI.
Fewer teams are asking whether the vehicle data underneath it is actually solid.
If trim levels are guessed.
If packages are incomplete.
If MSRP is wrong.
AI does not fix that. It repeats it faster.
So this is a practical guide to strengthening the foundation before layering on more tools.
No theory. Just discipline.
Check out the full conversation here
The Regular-I Checklist
What to verify before you price, publish, or promote a vehicle
Appraisal Integrity
Every unit’s original MSRP and build are verified against OEM window sticker data
Trim, packages, and major options are confirmed before pricing
Managers can clearly explain why this vehicle is priced where it is
If this step is loose, gross is vulnerable.
Merchandising Accuracy
VDP features match verified build data
Premium packages are clearly highlighted
Base models are not marketed like higher trims
Understate value and you lose margin.
Overstate features and you lose trust.
Marketing Alignment
Paid ads reflect the vehicle’s actual configuration
Descriptions are written from verified data, not assumptions
Incomplete or mis-entered records are suppressed before campaigns launch
Paid amplification should amplify clarity.
Trust and Compliance
Feature claims match sticker data
MSRP references are defensible
Sales teams can confidently show how this vehicle compares to others
Confidence closes deals.
Accuracy protects them.
Dealer Prompt Pack
Using AI as an assistant, not a guesser
Rule one: Always paste verified build data first.
Rule two: Tell AI not to assume anything.
Build Verification Summary
Prompt:
“Using only the verified vehicle data below, summarize the exact trim, packages, major options, original MSRP, and three value drivers that justify pricing. Do not assume features not listed.”
Comparable Guardrails
Prompt:
“Based on this verified build data, list what must match in a true comparable vehicle and what differences would meaningfully distort price.”
Price Justification
Prompt:
“Write a five-bullet explanation for why this vehicle is priced at $X, referencing only verified features and current market positioning.”
Feature Integrity Check
Prompt:
“Compare this listing description to the verified build data. Identify inaccuracies, missing premium features, and overstatements.”
High-Intent VDP Copy
Prompt:
“Write a concise vehicle description highlighting only verified packages and value drivers. Avoid generic language.”
Sales Confidence Script
Prompt:
“Create a short talk track explaining how this vehicle is configured and why it is fairly priced, using only verified build details.”
Side-by-Side Comparison
Prompt:
“Compare these two vehicles using only verified features and MSRP data. Highlight meaningful differences that affect value.”
The goal is not to add complexity.
It is to remove guessing.
Dealers who control their structured vehicle data will price better, merch smarter, and build more trust.
Start with the regular intelligence.
Then layer on artificial intelligence.
