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Ahrefs TV publishes actionable digital marketing tutorials on SEO and YouTube marketing. Through our videos, you'll learn how ...
How to Track AI Traffic in GA4 and Ahrefs Web Analytics (ChatGPT & More) | 4.1. AEO Course by Ahrefs
The video explains how to measure AI visibility in Ahrefs AI search, introducing three tracking pillars (AI referral traffic, AI bot activity, and self-reported attribution) and showing practical setup steps to connect AI presence to real outcomes.
Your AEO Strategy + Action Plan Checklist | 4.2. AEO Course by Ahrefs
The video assess whether AI Enhanced Optimization (AEO) is valuable, how to measure progress, and what regular actions to take to grow AI driven visibility and conversions with a concrete weekly and quarterly plan.
How to Optimize Content for AI Search Engines | 3.1. AEO Course by Ahrefs
The video explains how to create content that AI cites, emphasizing freshness, format, and clear structure, plus practical writing principles to make content both human and AI friendly. It then covers methods to protect originality, refresh aging pages, and prepare for off-page citations in the next lesson.
Brand Mentions for SEO: How to Get Cited by AI (3 Tiers) | 3.2. AEO Course by Ahrefs
The video explains how gaining AI friendly mentions across three tiers of sources greatly boosts visibility, with a focus on editorial sites, community discussions, and your own properties, plus how to identify and maintain valuable mentions.
Technical SEO for AI: Robots.txt, GPTBot & llms.txt Explained | 3.4. AEO Course by Ahrefs
The video outlines six technical checks to ensure AI can access and understand your site, covering robots.txt, JavaScript rendering, page speed, clean HTML structure, schema markup, and handling AI hallucinated URLs, with a note on measuring AI visibility.
YouTube SEO for AI Search: How to Rank your YouTube Videos | 3.3. AEO Course by Ahrefs
The video explains why YouTube is central to AI visibility and outlines a three-step framework to get YouTube videos cited by AI: identify topics that already rank (search hits), create videos that rank well, and layer AI visibility by aligning content with AI queries using Brand Radar.
Keyword & Prompt Research for AI SEO (AEO) | 2.2. AEO Course by Ahrefs
The video walks through a full keyword research workflow for SEO and AEO, from building seed keyword lists with modifiers to vetting candidates using a bid formula, AI relevance checks, and finally identifying AI driven and prompt based opportunities for brand visibility.
How to Run a Brand Gap Analysis | 2.1. AEO Course by Ahrefs
The video introduces a two phase AEO strategy, starting with a brand gap analysis to map branded entities and assess gaps, followed by an audit in hrefs to quantify AI visibility and identify actionable gaps across six dimensions for prioritization and future content strategy.
Answer Engine Optimization (AEO) Course by Ahrefs: What is AEO?
The video introduces Answer Engine Optimization (AEO), explains its difference from traditional SEO, and outlines a four-module course focused on leveraging AI search to gain visibility and conversions. It emphasizes that AI traffic is growing and can outperform organic search when content is optimized for AI mention and citation.
How Ranking in Google AI Overviews, ChatGPT, and Perplexity are Different | 1.2 AEO Course by Ahrefs
The video reveals that AI search platforms differ in sources and biases, so optimizing for one platform won’t guarantee visibility on others. It then outlines how Google AI overviews, Google AI mode, ChatGPT, and Perplexity each favor different sources and how to prioritize efforts accordingly.
What Is AI Visibility? The 3 Types Every Marketer Needs to Know | 1.3. AEO Course by Ahrefs
The video explains that AI visibility is a spectrum with three types—cited and linked, mentioned but not linked, and not visible—and shows how each type occurs across platforms and why the most valuable visibility depends on your business goals.
How AI Search Engines Work | 1.1. AEO Course by Ahrefs
The video explains how AI search works by combining training data with real-time web retrieval, and how fanout queries expand a single search into many subqueries that inform probabilistic citations. It also highlights why SEO and broad topic coverage matter for AI visibility and teases a comparison of AI platforms in the next lesson.
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