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805: LLMs Are LYING About Your Business (Here’s How to Control It) | Steve Toth

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Manage episode 509667744 series 1958773
Content provided by Conquer Local. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Conquer Local or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

▶️ Watch this episode on YouTube

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👉 Narrative Cleanup: Identify and retire outdated content sources that keep AI stuck in the past; consolidate and redirect to your current offer.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

Key Concepts covered:

ChatGPT AEO strategy

Gemini AI and Google AI Overviews

Perplexity search and buyer decision-making

Truth Alignment Framework by Notebook Agency

LLM brand representation audit

HACK: The "LLM Info" Page to Feed AI Correct Information

AI SEO vs. traditional SEO

Deal Breaker Detector (AI Notebook)

Hyper-specific comparison content for LLMs

How to fix outdated reviews and Reddit narratives

High-quality traffic vs. high-volume traffic

📈 If you want your brand to be confidently recommended by AI — not casually mentioned — this episode is your roadmap.

CONNECT WITH Steve Toth:

🌐 https://notebook.agency/

💼 https://www.linkedin.com/in/stevetothjr/

📩 [email protected]

CONNECT WITH VENDASTA:

YouTube: / @vendasta

LinkedIn: / vendasta

X: https://x.com/vendasta

Instagram: / vendasta

​​

Thanks for listening!


  continue reading

345 episodes

Artwork
iconShare
 
Manage episode 509667744 series 1958773
Content provided by Conquer Local. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Conquer Local or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

▶️ Watch this episode on YouTube

🎯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.

Key Concepts covered:

ChatGPT AEO strategy

Gemini AI and Google AI Overviews

Perplexity search and buyer decision-making

Truth Alignment Framework by Notebook Agency

LLM brand representation audit

HACK: The "LLM Info" Page to Feed AI Correct Information

AI SEO vs. traditional SEO

Deal Breaker Detector (AI Notebook)

Hyper-specific comparison content for LLMs

How to fix outdated reviews and Reddit narratives

High-quality traffic vs. high-volume traffic

📈 If you want your brand to be confidently recommended by AI — not casually mentioned — this episode is your roadmap.

CONNECT WITH Steve Toth:

🌐 https://notebook.agency/

💼 https://www.linkedin.com/in/stevetothjr/

📩 [email protected]

CONNECT WITH VENDASTA:

YouTube: / @vendasta

LinkedIn: / vendasta

X: https://x.com/vendasta

Instagram: / vendasta

​​

Thanks for listening!


  continue reading

345 episodes

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