Case study: Fixing “Indexed, though blocked by robots.txt”

A practical framework for llm consumption

A Practical Framework for LLM Consumption

The emergence of AI-powered search and large language models has created new considerations for content optimization.…
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Optimizing for AI-Generated Search Summaries

AI Overviews represents a critical component of modern SEO strategy. As search engines continue to evolve…
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Profound zero clicks conferences recommendations

Zero-Click Search: How to Measure It, Adapt to It, and Where to Learn More

At Profound's Zero Click Conference last month, they shared something wild 👇 𝗬𝗼𝘂𝗧𝘂𝗯𝗲 is now one…
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Diagram showing one url carrying a human readable layer and a json-ld machine layer, both parsed at crawl time into entity records that feed the search index and retrieval for ai answers, with a compliance boundary requiring markup to describe visible page content.

JSON - The Silent Data Highway (LLM Ingestion) | LinkedIn

I'm seeing confusion about LLM ingestion/optimization. Here's a framework and a practical example use case concerning…
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How to: build a content audit assistant with screamingfrog and ai

How To: Build A Content Audit Assistant With ScreamingFrog and AI

You can’t build an AI content auditor. You can build an AI content audit assistant that…
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Ai mode query fan out: how to optimize content for google’s ai

AI Mode Query Fan Out: How to Optimize Content for Google’s AI

Learn how Google's AI Mode uses the query fan-out technique to break down searches and what…
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