MUMBAI: In a sharp pivot from traditional SEO playbooks, Pulp Strategy has unveiled NeuroRank, India’s first end-to-end LLM SEO solution designed to help brands dominate AI-powered search platforms like ChatGPT, Gemini, Claude and Perplexity.
Forget keywords and backlinks - NeuroRank focuses on a brand’s inclusion in AI-generated answers, not just its rank on a results page. With over 44 billion searches now happening on LLM platforms, this is SEO reimagined for a world where algorithms shape awareness, not just clicks.
“With over 44 billion searches now happening on LLM platforms and 72 per cent of B2B buyers relying on AI for early brand discovery, waiting is not an option,” said Pulp Strategy founder & chief strategist Ambika Sharma. “This is not traditional SEO. It’s not about backlinks or page speed. LLM SEO is about training the algorithms that are already shaping customer intent.”
What makes NeuroRank a smart bet?
. LLM signal mapping: Tracks whether a brand is cited or invisible in current AI responses
. Semantic layer engineering: Rewrites content into machine-optimised formats — Q&As, explainer blocks, schema-rich text
. Source priority indexing: Seeds brand presence into model-trusted platforms like Reddit, Quora, and Medium
. Knowledge graph stitching: Builds brand-topic-author clusters to boost citation probability
. Live model conditioning: Continuously tests and tweaks prompt performance across major LLMs
“If your brand isn't part of the model’s learned memory, you're not in the conversation. And if you’re not in the conversation, your competitor already is,” Sharma added.
In one standout case, a mid-market SaaS firm cut its cost-per-MQL by 22 per cent in just eight weeks using NeuroRank’s full deployment suite — a strong signal of performance meeting potential.