Meenakshi Garg

Built Zycus's AI search visibility programme from scratch — growing AI Overview features from 15 to 402 (2,580%) and achieving #1 LLM citation rankings across ChatGPT, Perplexity, and Gemini ahead of competitors. Expanded organic keyword footprint from 3,139 to 13,445 through structured technical SEO, keyword research, content structure, and internal linking. Implemented schema markup across the site — FAQ, HowTo, Article, Entity, and BreadcrumbList — improving data coverage and AI Overview eligibility. Conducted full technical SEO audits with Screaming Frog and GSC, prioritising crawlability, redirects, canonicals, schema, and CWV; briefed developers with structured fix tickets. Recognised twice with the Individual Goody Award for AI Search Visibility & Brand Mentions Growth and SEO Optimisation using AI.

Running technical SEO audits across the site — crawlability, indexation, Core Web Vitals, schema, and site architecture; coordinating fixes directly with engineering to ship changes. Building and iterating the GEO/AEO playbook — structured data for LLM citation, knowledge graph optimization, and an answer-first content architecture. Developing automation pipelines with Make.com, Claude, ChatGPT, and Google NotebookLM to replace manual work with scalable systems, including an end-to-end glossary content pipeline from research to WordPress staging. Monitoring AI citation share across ChatGPT, Perplexity, and Gemini weekly and translating insights into fast content and entity strategy updates. When GEO lacked a playbook, built one from first principles through observation, experimentation, and iteration.

Ran technical audits, keyword research, and on-page optimisation across multiple client accounts; managed own portfolio with minimal oversight and delivered results on time. Led strategy and execution for independent client portfolios.