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Search is quietly rewiring how people find answers, and the biggest shift isn’t on the results page—it’s inside the models that compose those answers. We dig into a practical playbook for turning your content into the source that ChatGPT, Gemini, Claude, and Perplexity cite, so your brand earns authority even when no click happens.
First, we map the path from traditional rankings to AI citations and explain why “position zero” is now the reference text behind generative answers. Then we get tactical. You’ll learn how to build a heading hierarchy that machines can parse instantly, write short paragraphs that summarise cleanly, and use lists that act as ready-made snippets. We show how to replace fluffy claims with measurable statements, cite credible sources, and link to original research so your pages pass retrieval checks that power modern LLMs.
We also cover framing content as answers using an FAQ strategy guided by real user questions. By mining People also ask or a dedicated question research tool, you can align sections to specific intents and produce Q&A pairs that models can lift verbatim. To make sure all of this effort is discoverable, we finish with essential technical checks: confirm robots.txt welcomes major AI crawlers, review CDN and firewall rules that might block them, and keep a clean XML sitemap to speed up discovery. You’ll leave with a simple, repeatable audit to run on a high-value page this week: fix structure, rewrite for facts, and add focused FAQs.
If this helped, follow the show, share it with a teammate who owns your content pipeline, and leave a quick review telling us which page you’ll optimise first. Your feedback shapes what we tackle next.

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"Werq" Kevin MacLeod (incompetech.com)
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