Serava: 11 position-zero queries in 60 days
Prabhjyot Kaur led answer-engine optimization for Serava, winning 11 position-zero queries in 60 days, Core Web Vitals at the 90th percentile and indexed-page errors down 68%. The work restructured content and technical SEO for answer engines and stood up LLM-visibility monitoring across ChatGPT, Gemini and Perplexity.
The problem
Roughly 58 to 60 percent of searches now end without a click. Buyers ask ChatGPT, Perplexity or Google AI Overviews and read the answer, and if you are not the source the answer is built from, ranking well is worth progressively less every quarter.
The brief was to be cited, not merely ranked. That is a different technical and editorial problem, and most SEO work is not aimed at it.
The approach
Content and technical SEO were restructured for answer engines rather than for blue links alone: semantic HTML, crawlability and Core Web Vitals on the technical side, and question-shaped structure with quotable, data-backed claims on the editorial side.
Then the part almost nobody does: LLM-visibility monitoring was stood up across ChatGPT, Gemini and Perplexity, so citation share became a metric that could be watched and improved rather than a thing that either happened or did not.
- Technical: semantic HTML, crawlability, and Core Web Vitals taken to the 90th percentile.
- Structural: content restructured so an answer engine can lift a clean, correct answer straight out of the page.
- Measurement: LLM-visibility monitoring across ChatGPT, Gemini and Perplexity, so being cited stopped being a matter of luck.
The result
11 position-zero queries inside 60 days. Core Web Vitals at the 90th percentile. Indexed-page errors down 68 percent.
The strategic point: answer-engine visibility does not require domain authority the way classic SEO does, which makes it the highest-leverage search channel available to a startup starting from zero.
Questions about this engagement
What is answer engine optimization (AEO)?
AEO is the practice of getting cited inside AI-generated answers on ChatGPT, Perplexity and Google AI Overviews, rather than only ranking in classic Google results. It relies on question-shaped structure, quotable claims backed by numbers, FAQ schema, clean semantic HTML and llms.txt. It matters because roughly 58 to 60 percent of searches now end without a click.
What did Prabhjyot Kaur do for Serava?
She led answer-engine optimization: restructuring content and technical SEO for answer engines, covering semantic HTML, crawlability and Core Web Vitals, and standing up LLM-visibility monitoring across ChatGPT, Gemini and Perplexity.
What results did Serava see?
11 position-zero queries in 60 days, Core Web Vitals at the 90th percentile, and indexed-page errors down 68 percent.
Does AEO work without domain authority?
Yes, and that is the point. Answer-engine visibility does not depend on domain authority the way classic SEO does, which is why it is the highest-leverage search channel for a startup starting from zero.
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