Overview
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Learn why conventional AI SEO advice fails and discover a data-driven 7-step framework for optimizing content for AI search results in this 14-minute tutorial. Understand the fundamentals of AI SEO through a systematic approach that prioritizes testing and measurement over guesswork. Start by selecting the right questions to target and tracking them using your own data alongside the Semrush AI Visibility Toolkit. Use Prompt Research to examine real user queries, analyze sample responses, and assess topic difficulty before investing time in specific questions. Explore Visibility and Competitor views to identify strong topics, monitor key prompts, and discover quick-win opportunities. Set up controlled experiments by dividing prompts into test and control groups to measure changes accurately. Analyze current content mentions to determine which formats receive the most citations and incorporate these insights into your strategy. Create comprehensive content that addresses core questions and long-tail variations while planning off-site mentions across platforms like YouTube, Reddit, and affiliate sites. Resolve AI SEO technical issues using Site Audit tools to implement quick fixes that increase content mentions. Master the complete process from question selection and competitor analysis to content creation and technical optimization, with practical guidance on using tools like Google Search Console and Semrush's AI Visibility Toolkit throughout the workflow.
Syllabus
00:00 - What is AI SEO?
00:58 - 7-Step Framework
01:55 - Steps 1 and 2
08:47 - Step 3
10:20 - Step 4
11:13 - Step 5
11:59 - Step 6
12:44 - Step 7
13:42 - Wrap-Up
Taught by
Kevin Stratvert