AI SEO Crash Course: Search Is Going to Answer Engines, You Need a Plan

About this Video

• Video Title: AI SEO Crash Course: Search Is Going to Answer Engines, You Need a Plan
• Channel: Cody Schneider
• Speakers: Cody Schneider, James (co-founder of Profound)
• Duration: 51:42

Introduction

This video discusses the rise of AI answer engines in search and their impact on SEO. The speakers explore how these engines differ from chatbots, which types of businesses benefit most from optimizing for them, and strategies for improving brand visibility within AI search results. The video also touches upon the use of synthetic data to analyze LLM data sources and the evolving protocols for AI content feeds.

Key Takeaways

• AI answer engines are rapidly changing the search landscape: These engines, unlike chatbots, scrape the web to provide answers, drastically altering how people find information online. The month-over-month growth in their usage is significant.
• High-consideration purchases and tech-savvy buyers are most impacted: Businesses selling products or services requiring extensive research (e.g., consumer electronics, B2B SaaS) and targeting tech-forward customers see the most significant impact from AI search optimization.
• LLMs prioritize specific data sources per category: AI answer engines favor certain sources (e.g., Wikipedia, Reddit, specific websites) depending on the search category. Understanding these preferences is crucial for content strategy.
• Content optimization strategies for AI answer engines: Focusing on comparative articles, metadata optimization, and digital PR can significantly improve brand visibility in AI search results. Creating high-quality, structured, and easily crawlable content (e.g., markdown) is also important.
• Emerging protocols like llms.txt are influencing AI content feeds: New protocols are emerging to facilitate direct interaction between AI agents and brand content, potentially replacing the need for extensive web crawling.