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What is video SEO? How to optimize for YouTube, Google & AI

Many video search engine optimization (SEO) guides offer checklists of basic steps for helping videos rank on YouTube. But truly effective video SEO needs a broader strategy targeting the surfaces with the highest potential for visibility today — not just YouTube, but also Google Search and AI search platforms.

Campaign optimization strategies that actually work in 2026

Recent data shows that 88% of marketers now use AI every day to guide their biggest decisions, and for good reason. Marketing automation has been shown to generate 80% more leads and drive 77% higher conversion rates. With global ad spend now topping $1 trillion, there’s simply too much data for even the most experienced teams to manage by hand anymore.

Profound vs. Bluefish AI for AEO: Which tool wins for marketers?

If a brand is not visible in answer engines, it’s missing critical early-stage influence. According to McKinsey, 50% of consumers now use answer engines, and more than 70% rely on it to ask questions and gather information. That means a growing share of discovery occurs within AI tools and before users click through to websites.

Why category entry points belong in every AI search strategy

For two decades, marketers have built their content around keywords. But now, AI has changed how people search. They’re able to describe situations in their own words, and that gives content teams a clearer view of the moments behind their needs. 

Bantu Kami Memilih Lokasi Acara Berikutnya di Eropa untuk Search Central Live Deep Dive 2026.  |  Google Search Central Blog  |  Google for Developers

Kamis, 18 Juni 2026

Sebagaimana yang telah kami sampaikan beberapa bulan lalu, kami akan menghadirkan format Search Central Live Deep Dive di wilayah Eropa, Timur Tengah, dan Afrika (EMEA). Format SCL ini menuntut kami untuk menemukan lokasi terbaik bagi acara tersebut—sebuah tempat di mana Anda semua dapat benar-benar saling berinteraksi, belajar, dan menikmati pengalaman yang ada.

AI Brand Visibility Tracking: How to Do It the Right Way

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Key Takeaways

  • Most AI brand visibility tracking today replicates keyword tracking logic, using prompts instead of search terms. The underlying assumption is the same, and that’s the problem.
  • Traditional search engines are deterministic: the same query tends to return similar results. LLMs are probabilistic: the same prompt can produce a wide range of valid answers.
  • Measuring a probabilistic system with deterministic tools produces data that looks clean but doesn’t reflect how the system actually behaves.
  • The prompts most brands are tracking (‘Best CRM in 2026,’ ‘Top accounting software’) describe a user who doesn’t exist, someone with no context, no history, and no specific intent. This is a known gap in current AI SEO measurement approaches.
  • Fixing this requires a different measurement philosophy, not just better prompts.

Have you started tracking your brand in ChatGPT, Perplexity, or Google AI Overviews? Good. You’re thinking about the right problem.

How to get indexed by ChatGPT [2026]

If you want to know how to get indexed by ChatGPT, I’ll show you, but first, I want to clarify: Other articles on this topic conflate “getting indexed by” with “showing up in” ChatGPT — and they are not the same thing. Getting indexed by ChatGPT means OpenAI’s search crawler discovered your page and stored it in OpenAI’s proprietary index (about which very little is publicly known). Showing up in ChatGPT means your content appeared in an answer, which can happen via that index or via a live web fetch triggered by a user’s query.

Query Fan-Out: What It Is and How It Affects AI Visibility

Your content can rank on the first page of Google and still never be cited or mentioned by LLMs.

This makes sense once you understand query fan-out, a background process AI systems use to build answers.

FAQs for AEO: How to structure answers that rank in answer engines

AI search interfaces are reshaping how content gets surfaced and cited. Pew Research data from 2025 found that around one in five Google searches produced an AI-generated summary, with 88% of those summaries citing three or more sources. Bain’s 2025 research found that roughly 80% of consumers rely on zero-click results in at least 40% of their searches.