LLM Marketing cheat Sheet
Marketing for LLM Cheat Sheet
- *Section 1: What’s Changing? The shift from traditional search engines to generative assistants means customers now ask natural questions like: • "What’s the best motorcycle for new riders near me?" • "Where should I service my ATV in [City]?" AI systems respond with direct answers—not a list of links. To earn visibility, dealerships must provide the data and expertise these systems rely on. **Section 2: Becoming an AI-Ready Dealership To become recommended by AI tools, your dealership must: • Publish authoritative, factual content • Structure website data so AI can easily interpret it • Demonstrate consistent local expertise • Be active and educational across your digital platforms This creates the authority signals LLMs value. **Section 3: Building Your Dealership’s Answer Library Your website must evolve from a sales tool into an informational hub. Publish content that answers real rider questions, including: • Beginner motorcycle guides • Local riding routes • Side-by-side comparisons • Maintenance schedules and service explanations • Seasonal prep guides These pages position the dealership as the expert source for AI answers. **Section 4: Strengthening Google Business Profile LLMs pull heavily from Google Business Profile (GMB). Maintain an active presence with: • Weekly posts on inventory, service, events • Photo uploads • Accurate hours and service listings • A robust Q&A section written by your dealership team A strong GMB profile increases your chance of AI recommendations. **Section 5: Social Media as an AI Data Feed AI systems also ingest social content. Posting helpful, expert-focused information boosts your dealership’s authority across platforms. **Weekly Social Post Schedule Monday: What happened in racing / Weekly special Tuesday: Humor or fun dealership personality content Wednesday: Tech updates—new lights, ECU maps, tuning upgrades, or new product releases Thursday: Flash one-day parts or accessories special Friday: Racing updates, where to ride, or what to ride Saturday: Repost or reinforce the weekly special **Section 6: Structuring Data for AI Understanding Implement schema markup for: • LocalBusiness details • Product and model pages • FAQs • How-to service instructions These signals help AI systems understand and trust your content. **Section 7: Inventory & Model Visibility Strategy Create rich content pages for high-interest models, emphasizing: • Use cases • Specs and features • Local relevance (riding conditions, seasons, terrain) • Accessory bundles • Maintenance insights Such pages are often cited directly by LLMs. **Section 8: Monthly Content Calendar Week 1: Model comparison article + GMB inventory update + walkaround video Week 2: Local riding guide + GMB service post + accessory feature Week 3: Maintenance or tech-focused article + GMB used inventory + tech tip Week 4: Seasonal prep article + GMB sale announcement + behind-the-scenes content **Section 9: Measure What Matters Track: • Organic traffic from non-search sources (AI referral patterns) • GMB impressions and interactions • Engagement on long-form educational social posts • Service bookings coming from blog or FAQ pages • Customer comments referencing “I saw this online…” or “ChatGPT recommended…” **Section 10: Your Dealership’s New Competitive Edge By building structured, factual, and regionally relevant content, your dealership becomes the preferred answer LLMs provide to riders. The shift is already happening—dealerships that adapt now will lead their market for years to come.
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