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E-E-A-T in the AI Era: Why Experience Signals Matter More Than Ever
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E-E-A-T — Experience, Expertise, Authoritativeness, Trustworthiness — is the primary trust framework AI systems use to decide which sources to cite. Google added the first E (Experience) in 2022. In the AI era, all four components function as gating signals: without them, your content doesn’t get cited regardless of its quality. Here’s what each…
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How Google AI Mode Changes Everything We Thought We Knew About Ranking
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Google AI Mode replaces the traditional search results page with a full AI-generated answer experience for certain queries — and it changes what ranking means, what traffic means, and what your content strategy needs to accomplish. AI Mode doesn’t kill SEO. It changes what SEO is for. Here’s the honest breakdown. A lot of…
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llms.txt Explained: The One File Every Website Needs in 2026
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llms.txt is a plain text file placed at your domain root that tells large language models who you are, what you do, and what your most important content is — reducing AI inference uncertainty and increasing citation confidence. It’s the 2024 equivalent of robots.txt for a new kind of reader. Here’s everything you need…
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Google AI Overviews: What They Are, How They Choose Sources, and What to Do About It
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Google AI Overviews are AI-generated answer boxes that appear above organic search results, synthesizing content from multiple sources to answer a query directly on the results page. They appear in 4-12% of all queries and are powered by Google Gemini using a retrieval-augmented generation pipeline. Here’s what they are, how sources get selected, and…
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What Is GEO — And How Is It Different from AEO and SEO?
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GEO — Generative Engine Optimization — is the strategic discipline of ensuring your brand is understood, trusted, and recommended by AI systems like ChatGPT, Perplexity, Google Gemini, and Microsoft Copilot. It sits above both SEO and AEO as the overarching framework that manages how the entire AI ecosystem represents your brand. I’ve been in…
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I Built an AI to Do AEO Audits. Here’s What She Keeps Finding.
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Over the last year I built an AI named “Sarah” Not because I wanted to be in the AI product business. Because I was doing AEO audits manually, and the most time-consuming part wasn’t the analysis — it was the systematic review of schema, content structure, and entity signals across dozens of pages. It…
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How to Check If ChatGPT, Perplexity, and Gemini Know You Exist
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Before you invest in any AEO strategy, you need to know where you’re starting. And the fastest, cheapest way to do that requires nothing more than the free versions of three AI platforms and about 20 minutes. I call this the AI Visibility Check. I run it at the beginning of every AEO audit.…
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Zero-Click Is Not the Enemy — Here’s the AEO Strategy That Wins Anyway
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I’ve watched a lot of search industry panics over 27 years. The death of keywords. The death of SEO. The death of organic traffic. And now: the death of the click. 60% of searches end without a click. AI Overviews answer questions before users ever reach the results. ChatGPT synthesizes responses from a dozen…
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What an AEO Audit Actually Finds — A Real Client Deep Dive
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I get asked some version of this question in almost every conversation I have about AEO: ‘What do you actually find in the audit?’ It’s a fair question. AEO is abstract enough that even people who understand the concept aren’t sure what a diagnosis looks like in practice. So let me walk you through…
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The 40-Word Rule: How AI Decides What to Quote (And What to Ignore)
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There’s a rule of thumb I’ve started including in every AEO audit I deliver, and it’s the one that tends to produce the fastest results when clients act on it: the 40-Word Rule. The underlying data: AI extraction systems pull answers under 40 words at more than twice the rate they extract longer passages.…