// AUTHOR
NM

Nikhil Mishra

Founder & CEO
Gurgaon, Haryana, India
Connect on LinkedIn →

About

Nikhil Mishra is the founder and CEO of OPSYRA, and a senior software engineer specialising in generative AI and LLM systems. He builds the platform that measures whether AI answer engines cite a website, and writes about the technical faults that quietly make sites unreadable to them.

Nikhil is a senior software engineer by profession, with a background in generative AI, large language model systems and full-stack product development. He has previously worked at Paytm, and is also a co-founder of CricFight.

OPSYRA came out of a straightforward observation while doing search work: almost everything being sold as AI search advice was untested, because almost nobody was checking what the engines actually returned. He built the checking apparatus — a system that runs real buyer queries against live answer engines and records who gets cited — and then turned it into a product.

He writes here mostly about the engineering side of AI search: how crawlers really behave, why client-rendered sites are invisible to them, what structured data does for extraction, and how to measure citations when there is no ranking position to track.

Areas of expertise

Answer Engine OptimizationGenerative AI & LLM systemsTechnical SEOStructured dataFull-stack engineeringProduct strategy

Languages

English
Fluent
Hindi
Native

Published work

8
Articles on OPSYRA
6
Specialisms
2
Languages

Articles by Nikhil

COMPARISONS10 min read

Best Answer Engine Optimization (AEO) Tools in 2026

The best AEO tools compared on what they actually do — measured citation tracking, on-page auditing, content workflow and real price.

September 25, 2026
MEASUREMENT6 min read

Is There a Free AI Visibility Checker? Yes — Here's How

Three ways to check whether ChatGPT and Perplexity cite your site without paying — the manual method, free tiers, and what you actually give up.

September 25, 2026
FUNDAMENTALS6 min read

AEO vs SEO — What Actually Changes, and What Does Not

AEO vs SEO compared: which tactics carry over unchanged, which shift in emphasis, and which 10% is genuinely new. The overlap, made explicit.

September 24, 2026
MEASUREMENT7 min read

How to Check Whether AI Engines Actually Cite Your Site

A repeatable method for measuring AI visibility: build a query panel, run it across ChatGPT and Perplexity, and read the citation leaderboard.

September 24, 2026
TECHNICAL7 min read

Why Your React Site Is Invisible to ChatGPT (and How to Check in 30 Seconds)

AI crawlers do not run JavaScript, so client-rendered sites look empty to them. The 30-second test, what we found on our own site, and four fixes.

September 24, 2026
TECHNICAL6 min read

llms.txt Explained — What It Is, Who Reads It, and Whether You Need One

What llms.txt is, whether answer engines actually read it, and the SPA fallback bug that makes most implementations worse than having no file.

September 24, 2026
TECHNICAL7 min read

Schema Markup for AI Search — Which Types Actually Matter

Structured data does a different job for answer engines than for rich results. The five schema types that matter, with copy-paste JSON-LD for each.

September 24, 2026
FUNDAMENTALS8 min read

What Is Answer Engine Optimization (AEO)? A Working Definition

Answer Engine Optimization means structuring content so AI engines can extract and cite it. What actually changes versus SEO, and what stays the same.

September 24, 2026

More about the team on the about page.