AI Content System for a Car Dealership

Industry: Automotive Retail
Focus: Scalable SEO | AI-Powered Content Systems
Tools: Google Workspace, ChatGPT
Role: Content Systems Strategist & Prompt Designer

  • Developed AI content prompt templates and structured content sheets
  • Enabled scalable, localized marketing content production across multiple dealerships
  • Project files

Project Overview

A local SEO agency needed vast amounts of content in a short amount of time to
support SEO and content scalability across multiple Toyota dealerships, I created a
structured content operations system. The goal was to generate high-quality,
localized vehicle landing pages efficiently using modular templates, structured
variables, and AI-assisted prompting while also enabling transparent editorial
oversight and streamlined output review.

  • Objective 1: Build reusable templates for both new and used vehicle content
  • Objective 2: Automate content generation across multiple dealerships and
    trim levels
  • Objective 3: Maintain consistent voice, SEO optimization, and brand-specific
    messaging
  • Objective 4: Streamline prompt version control and output QA using
    spreadsheet-based workflows

Solutions provided

  1. Modular Content Templates
    Created two core templates:
  • Trim-specific: tailored for unique feature sets and customer use cases
  • Generic: supports new inventory without specified trim options
    • Each template included modular sections for SEO intro, top features, local
      dealership branding, and buyer support messaging.
  1. AI Prompt Framework
    Designed a reusable AI prompt with variable fields to generate natural, on-brand
    content. Mapped inputs like [model], [features], [location], and [buyer support] to output blocks, ensuring tone consistency and localization.

  1. Prompt Tracker & Content QA Sheet
    Built a spreadsheet to manage prompt inputs, track completion status, link
    generated documents, and differentiate between dealership brands (e.g., Toyota of Boerne vs. Space City Toyota).

Results

  • Reduced manual writing time and ensured tone and structure consistency across brands (Objective 1)
  • Created a scalable system capable of generating 100+ localized landing pages
    per month (Objective 2)
  • Enabled marketing teams to manage and update prompt inputs
    independently while maintaining voice and tone (Objective 3)
  • Positioned content system for CMS integration or automation pipeline
    (Objective 4)

Conclusion

This project demonstrates my ability to lead end-to-end content operations; from
modeling reusable templates to managing AI prompt logic and team workflow. It
blends UX content strategy, automation, SEO, and governance at scale.