Technical Implementation

Technical Implementation

Technical optimization for AI search: llms.txt, robots.txt, schema markup, structured data, site architecture, and AI crawler access.

Technical GEO Audit Checklist: 30-Point Site Readiness Check

If you want to understand how your brand ranks in AI search results, you need a technical GEO audit to baseline your site readiness. I have spent the last year watching how models like Perplexity and ChatGPT pull answers, and I have learned that the old SEO playbook is not enough to get you cited. … Read more

How AI Search Engines Work: The Complete Technical Explainer

AI search optimization GEO Understanding how AI search engines work became urgent for me in late 2024, when I noticed something strange in the VEGA AI traffic reports at LearnQ India. We were getting referral traffic from chatgpt.com and perplexity.ai on pages we had never specifically optimized for those platforms. The pages getting AI citations … Read more

Setting Up GA4 to Track AI Search Traffic: Complete Guide

Understanding GA4 AI Search Tracking: Why Your Current Setup is Missing Critical Traffic GA4 AI search tracking has become essential for marketers as AI-powered search engines now drive millions of visits that traditional analytics setups completely miss. I’m Amit Kumar, Growth Manager at LearnQ.ai/VEGA AI, and I’ve spent the past 18 months helping businesses understand … Read more

robots.txt for AI Crawlers: Allow ChatGPT, Perplexity, and More

robots.txt for AI Crawlers

Your robots.txt AI crawlers is the first technical gate between your website and every AI search engine that might cite you. Most sites were set up years before ChatGPT existed, which means a significant portion of the web is unintentionally invisible to AI search right now. This guide covers every major AI crawler user-agent string, … Read more