Copy The SEO Strategy That Grew a 10,000+ Page Website by 27%

This video is sponsored by Rank Math *Improve your website's ranking and performance at scale with Rank Math* 👉 https://rankmath.com/ ==================== If you're doing SEO on a large website, you're now being judged by two algorithms: Google's traditional search algorithm, and a new breed of AI recommendation tools — ChatGPT, Google AI Overviews, AI Mode, and Perplexity — that have their own criteria for the brands and content they want to recommend. In this video, I walk through the exact approach we used on a global brand's 10,000+ page website to improve their organic traffic by 27% whilst doubling their mentions in AI search results. When we audited this site, we found: - 349 duplicate page titles - 219 duplicate content issues - 195 completely orphaned pages with no links pointing to them - 118 hreflang errors across international markets - Over 200 missing meta descriptions - More than 100 missing H1 tags - And over 1,500 images without alt text. None of these were catastrophic on their own — but combined, they were dragging the site down. Here's the enterprise SEO framework I break down: 🧠 The impact vs effort prioritisation model — how to categorise every fix across two axes so you're always working on the highest-value tasks first, rather than jumping on whatever's most visible 🧠 Quick win technical fixes that can unlock massive growth overnight — robots.txt rules that shouldn't be there, staging site indexing rules added years ago and never removed, plugins that are accidentally blocking AI crawlers like GPTBot and ClaudeBot from accessing your site 🧠 Why 404s and redirect chains are a silent killer on large sites — and how chains of more than ten hops cause Googlebot to give up entirely 🧠 On-page SEO fixes at scale — duplicate titles, missing meta descriptions, missing H1 tags, and the click-through rate gaps that reveal when metadata simply isn't compelling enough 🧠 Schema markup as a prerequisite for AI search visibility —