Research points at a question your buyers ask that nobody answers well. You feed that idea into the engine.
Asked ChatGPT which companies like ours it would recommend. We were not in the answer. How do we change that?
Most don't. I measure that, then build the content that changes the answer. Ask an answer engine below.
Sourish Singh Roy is a Master of Communication graduate from the National University of Singapore, specialising in Strategic Communication and Data Analytics. He works where marketing meets applied AI: measuring how brands appear inside AI answer engines, then building the content that changes the answer.
That is answer engine optimisation. Most brands have no idea what the AI says about them. I do this for a living.
Run this search. Press send and see what the AI answers.
Each one makes its claim, then shows the project and the number that back it.
Answer Engine Optimisation (AEO) and Generative Engine Optimisation (GEO): I measure how often a brand gets cited inside AI answer engines, run after run.
The proof: a 154-query audit for StrongKeep Cybersecurity across ChatGPT, Perplexity and Google AI Overviews, with 16 competitors benchmarked on five signals. The gap map it produced now directs what StrongKeep publishes next.
I build content engines that produce fact-checked, on-brand content, verified before it publishes.
With the engine, you go from a content idea to ready-to-post assets in a click. How?
Research points at a question your buyers ask that nobody answers well. You feed that idea into the engine.
Asked ChatGPT which companies like ours it would recommend. We were not in the answer. How do we change that?
It scores the idea against what matters for your business: can you win this answer, does it fit, are the facts to hand? Weak ideas wait.
One researched idea becomes a blog post, a LinkedIn post and a newsletter, each written for its channel, built only on facts it can back up.
Every draft is scored before it reaches you: facts true, sounds like you, better than what the AI shows today. Then you post it. The engine never publishes on its own.
The engine asks your buyers' questions again on a schedule and measures whether the AI now names you. Those results feed back into the engine, so the next piece starts smarter.
Named in 2 of 4 answers, up from none. Illustrative numbers.
Research surfaced the content gaps, but production could not close them quickly or on-brand at scale.
Built a content engine on structured schema, verified citations, and internal cross-linking, tuned to brand voice, with agentic workflows automating multi-format output through messaging filters before handoff.
Why it matters. Speed with governance: content an AI engine can trust and cite.
Master of Communication, National University of Singapore. Based in India, open to relocation and remote.