SEO at scale: How to manage SEO on a large website

SEMrush's guide to managing SEO at scale highlights that revenue, not traffic, should drive optimization priorities, emphasizing that a page type with 3,000 visits that generates sales can be far more valuable than one with 40,000 visits that doesn’t. For website owners, this shift means AI‑driven crawlers and bots must be evaluated through a revenue lens as well. If an AI bot is indexing low‑value, high‑traffic pages that don’t convert, it can inflate crawl budgets and dilute search signals, ultimately hurting the visibility of high‑ROI pages. Conversely, ensuring that AI bots focus on revenue‑generating content can improve indexing efficiency and help search engines surface the pages that matter most to your bottom line. **Actionable tips:** 1. **Update your llms.txt** to explicitly allow AI crawlers (e.g., Google’s Gemini, Bing’s Chat) on high‑conversion pages while disallowing them on low‑value, high‑traffic pages, using the `Allow` and `Disallow` directives. 2. **Implement bot‑traffic analytics** in your llmscentral dashboard to monitor which AI agents are hitting revenue‑critical URLs, then adjust crawl rates via Google Search Console’s “Crawl rate” settings. 3. **Tag revenue‑focused pages** with custom meta tags (e.g., `data-conversion="true"`), and configure your AI bot detection rules to prioritize these tags, ensuring that AI indexing resources are allocated where they generate the most business impact.