
AI Search & Digital Visibility Researcher
AEO, GEO, AI search visibility, LLM citations, technical SEO, generative search behavior
I am an AI Search and digital marketing researcher specializing in SEO, AEO, GEO, and AI visibility. He studies how brands are discovered, evaluated, and cited across modern search engines and AI platforms, helping businesses improve their presence in generative search.
I am an AI Search and digital visibility researcher based in New Delhi, India. My work focuses on understanding how brands are discovered, represented, and cited across AI-powered search systems including ChatGPT, Google AI features, Claude, Gemini, Perplexity, and other generative search platforms. I researches Answer Engine Optimization (AEO), Generative Engine Optimization (GEO), entity visibility, citation patterns, content discoverability, and the technical factors that influence how information is interpreted by AI systems. At AI Rank Lab, I contributes to research and educational content covering emerging AI-search optimization practices, measurement methodologies, and practical strategies for businesses adapting to the transition from traditional search to AI-mediated discovery. My approach combines technical SEO, information retrieval, structured data, content analysis, and experimentation across AI search platforms.
Articles by Arjun Mehta strictly adhere to Google’s E-E-A-T (Experience, Expertise, Authoritativeness, and Trustworthiness) standards. Every piece of content undergoes rigorous fact-checking, original data analysis, and expert editorial review.

What an AEO tracker measures, why two of them disagree about the same brand, what they cost in 2026, and a 14-day bake-off protocol for testing any vendor against your own prompts before you sign.

AI score checker means two unrelated things: a detector that scores your text, and a visibility checker that scores your brand in AI answers. What each measures, how wrong each can be, and which one you actually need.