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How Can You Implement Entity Optimization Without Relying On Schema Markup? – Ask An SEO

For this week’s Ask An SEO, the question asked was: “From a technical standpoint, what does ‘entity optimization’ actually mean beyond adding schema?” To answer this, first of all, let’s establish, in information retrieval, that an entity is a uniquely identifiable “thing” that exists independently of the words used to describe it. Entity optimization is […]

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EntityMap: The Open Standard That Gives AI Systems A Structured View Of Your Business

AI systems are now answering questions about your business. The problem is that they are often getting it wrong. Consider the typical situation. A brand’s products, services, expertise, locations, leadership, and relationships are distributed across dozens of pages. An AI model retrieves fragments from those pages, stitches them together probabilistically, and generates an answer. The […]

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Mt. Stupid Has A Pricing Page

“There is now ample evidence, collected over the last few years, that AI systems are unpredictable and difficult to control.” That’s Dario Amodei in January, writing about the technology his company sells. Compare with what’s on your LinkedIn timeline this week. Here’s the script: Schema markup ensures AI engines parse your content. The first sentence […]

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Google’s llms.txt Guidance Depends On Which Product You Ask

Google’s Search and Chrome documentation now point in different directions on llms.txt, depending on whether the goal is Search visibility or agentic browser readiness. Google Search recently published a new optimization guide that lists llms.txt among the tactics you don’t need for generative AI features. The guide groups it with content chunking, AI-specific rewriting, and […]

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