Technical SEO, Built to Actually Rank
Rhythm Purohit is Lead Developer, SEO & AI Specialist at ENZO Digital, where he owns the technical backbone of the agency's work — from the SEO architecture of client sites to the AI tools the team builds internally. He is not a founder; he is the senior technical hire the founding team brought in to make sure the engineering under every campaign is sound.
Rhythm handles technical SEO end-to-end: Core Web Vitals, crawlability, structured data, and Google Business Profile optimization for local and multi-location clients. He treats page speed and indexability as ranking fundamentals, not afterthoughts — the technical groundwork that has to be right before any content or AEO/GEO strategy can work. Most of the sites he inherits are losing ground to problems that never surface in a content audit: render-blocking scripts, orphaned pages, duplicate URLs, and schema that validates cleanly while describing the wrong thing.
Every engagement he runs starts with a full technical audit — rendering behaviour, crawl budget, internal linking, schema coverage, index bloat — and the foundation gets fixed before anyone writes a line of content. He pays particular attention to how JavaScript sites are crawled and rendered, and to structured data as the layer that lets both Google and AI answer engines understand a page without guessing. On the AI side, he builds retrieval-augmented tools that stay grounded in a client's own material instead of generating generic copy.
He also builds ENZO Digital's AI tooling, including the automations the team uses for content publishing and reporting. Rhythm designed and built enzodigital.in's own static-site generation (SSG) architecture and blog publishing system — the infrastructure this page runs on — and maintains the pre-render, sitemap, and schema pipelines behind it.
His approach is the same whether he's fixing a client's Core Web Vitals score or shipping a new internal tool: eliminate repetitive work, ship it properly, and make sure it's measurable. His writing on technical SEO and AI automation is below.
Writing from Rhythm Purohit
A selection from 14 articles on technical SEO, Core Web Vitals, and AI automation.
How RAG Makes AI Content Actually Sound Like You
Why AI content sounds generic — and how Retrieval-Augmented Generation fixes it by grounding every output in your actual brand voice, past content, and domain knowledge.
How LLMs Actually Work — And Why It Matters for Your Business Automation
Large Language Models power every AI automation tool your business uses. Here's how they actually work — explained for founders, not engineers — and what it means for WhatsApp automation, MCP integration, and AI content tools.
Why Your Backlinks Aren't Moving Rankings (And What Actually Does in 2026)
You built backlinks and rankings didn't move. The problem usually isn't that backlinks stopped working — it's that links are one input in a system, and something else in that system is broken. Here's the technical diagnosis.
MCP Servers: The New Way AI Agents Connect to Your Business Tools — Use Cases for Indian Businesses
Model Context Protocol (MCP) is changing how AI agents interact with business tools. What it is, how it works, and the exact automation use cases for Indian businesses in 2026.
What Are Vector Embeddings and Why Every AI Automation Should Use Them
Vector embeddings are why AI understands meaning, not just keywords. The complete guide for Indian businesses building AI automations — what they are, how they work, and why they matter.
Core Web Vitals 2026: What D2C Brands Need to Fix to Stop Losing Rankings
LCP, INP, CLS — Google's Core Web Vitals are now ranking signals. Most D2C brands fail all three on mobile. Here's exactly what to fix, in priority order, with India-specific benchmarks.