Join Surfer Academy and special guest Steve Toth (Founder of AI Notebook) for an unfiltered look at the SEO strategies that will be dominating 2026 – and the AI tactics you need to abandon immediately.

📅 Date: 22.01.2026 ⏰ Time:  6 PM CET /  12 PM EST / 9 AM PST

While most marketers are still trying to out-prompt each other with generic content, the real winners are using AI to build Topical Authority and Brand Truth.

In this exclusive Surfer Academy session, Steve Toth (the mind behind the AI Notebook) joins us to pull back the curtain on the exact workflows he uses to stay ahead of the curve.

No fluff, no "maybe" tactics – just the data-backed reality of SEO in 2026. You’ll learn what works and what is a waste of time.

What we’ll cover:

• The "User Embedding" Edge: How to niche your content so LLMs (like ChatGPT and Gemini) recognize you as the definitive answer for your Ideal Customer Profile.
• Query Fan-Out Optimization: Why you should stop targeting single keywords and start optimizing for the "reasoning journey" of AI search engines.
• The 2026 "Kill List": Tactic-by-tactic analysis of what used to work in 2025 but will get your site penalized or ignored today.
• Structuring for Retrieval: The exact "100-300 token" content structure that makes your pages citation-magnets for AI Overviews.
• Live Case Studies: Steve shows how he’s currently leveraging AI Notebook techniques to maintain visibility despite shrinking click-through rates.

What You’ll Walk Away With

✅ A clear view of what actually works in AI SEO in 2026

✅ Tactics you can use immediately (no fluff)

✅ A framework for measuring AI visibility alongside rankings

✅ Insights straight from Steve Toth’s AI Notebook experience

Featured Guest: Steve Toth

Steve Toth is the founder of AI Notebook, SEO Notebook and Notebook Agency, a community of 27,000+ SEOs. He is also the CEO of Notebook Agency, where he helps 7–8 figure B2B brands grow through advanced SEO and AEO strategies. Steve is widely recognized for reverse-engineering search algorithms and building “no-regret” workflows that combine human creativity with AI scale.

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