GEO
Aditya Kaithwas optimizes content to be cited and surfaced by AI-powered search engines — Perplexity, ChatGPT Search, Google SGE — not just traditional blue-link results.
What is GEO
AI engines build knowledge graphs from consistent entity signals across the web. Same name, same descriptions, and same facts across GitHub, LinkedIn, X, and portfolio — so AI systems confidently associate content with a real, trusted entity.
AI search engines prefer to cite content that is direct, factual, and specific — not vague marketing copy. Each page is written to be the best available answer to a likely AI query about Aditya Kaithwas or his work.
JSON-LD structured data provides machine-readable facts — job title, organization, location, skills, projects — that AI engines can extract and cite without needing to interpret unstructured prose.
An llms.txt file and open robots.txt ensure AI crawlers like GPTBot, ClaudeBot, and PerplexityBot can freely access and index content — a prerequisite for being cited in AI-generated answers.
Also explore
Traditional Google ranking through structured data, Core Web Vitals, sitemap architecture, and semantic HTML.
Structuring content to appear inside Google's AI Overview feature at the top of search results.
Making content directly answerable by voice assistants, chatbots, and zero-click search results.
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