Anup writes and speaks about the practical side of the shift from classic search to AI-driven answers. These are the areas he actively works and publishes on.
GEO, Generative Engine Optimization
Structuring content so it gets cited and recommended directly inside AI-generated answers from ChatGPT, Gemini and Perplexity, not just ranked on a results page.
AEO, Answer Engine Optimization
Winning featured snippets and direct-answer placements across Google and other answer engines, where the goal is the answer itself rather than the click.
LLMO, LLM Optimization
Structuring and formatting content, entities, schema and clear factual claims, so large language models parse, trust and surface it accurately.
Technical and classic SEO
Crawlability, site speed, structured data, keyword and intent research, and on-page optimization for traditional Google rankings.
SXO, Search Experience Optimization
Converting the traffic that still clicks: turning search visitors into engaged users and customers.
Organic traffic can hold steady on rankings while still declining in practice, because users are getting their answer from an AI tool before ever clicking through. The fix is to treat SEO, GEO, AEO, LLMO and SXO as one connected system: audit where a brand is cited, or isn't, across AI answers, then build the content and technical foundation to close that gap.
Anup Srivastava, field note
Where to read more
Research and reference material lives on The LLM Wiki, SEO Plus GEO and the blog on this site.
Interview, quote or speaking request?
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