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🎯Do businesses know how they are being represented by LLMs? 🎯

If LLMs (ChatGPT, Gemini, Perplexity, Google AI Overviews) are where buyers now begin, your job isn’t to just “rank in Google”. It is to be the #1 brand AI recommends. In this episode, SEO expert Steve Toth from the Notebook Agency, shows exactly how to win with AEO and make AI engines accurately represent and recommend your business, using his unique Framework and a practical playbook you can implement this week.

In this episode, you'll learn:

👉 Why LLMs are lying about your brand: Why AI Gets Your Business Wrong, why it misrepresents you, and what you can do about it.

👉 The truth Pack: How to compare what LLMs say about you vs. your sales-grade answers, then close the gaps so AI gives the right recommendation.

👉 Reverse-Interrogation Audit: The exact prompts to ask ChatGPT, Gemini, Claude and Google AI overview, to reveal your pricing, feature, fit, proof, and support gaps—and how to fix them.

👉 Deal-Breaker Coverage: Use “Deal Breaker Detector” style prompts to surface ICP-critical questions (budget, team size, integrations, timelines) and ensure LLMs can cite accurate answers.

👉 Create “Recommendation-Ready” Content: Build hyper-specific AI content fuels so AI can confidently match you to buyer constraints and get a canonical, up-to-date source.

👉 Narrative Cleanup: Identify and retire outdated content sources that keep AI stuck in the past; consolidate and redirect to your current offer.

👉 Off-page Reality Check: Monitor and update off-site assets to correct misinformation LLMs may retrieve.

👉 From Volume to Velocity: Why smaller but highly qualified AI-assisted traffic converts better and how to message that shift to clients and stakeholders.