Company · About

We are mapping the new architecture of digital discovery.

CiteRank AI is a Bengaluru-based generative engine optimization (GEO) analytics company that measures whether AI engines recommend your brand to buyers across India. Founded in 2026, we help brands understand, measure and optimize how ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, Copilot, Grok and Meta AI perceive, cite and recommend them.

What CiteRank AI is

CiteRank AI is a Bengaluru-based generative engine optimization (GEO) analytics company that measures whether AI engines recommend your brand to buyers across India. We are a software company and product in the AI-search analytics category, founded in 2026 in Bengaluru, serving brands across India. Our measurement stack tracks eight engines — ChatGPT, Google Gemini, Anthropic Claude, Perplexity, Google AI Overviews, Microsoft Copilot, xAI Grok and Meta AI — and ties AI citations to pipeline.

Disambiguation: CiteRank AI is a company and product; it is unrelated to the 2007 academic “CiteRank” algorithm for ranking scientific publications, and is not affiliated with any similarly named tool on other domains.

The new search reality

For two decades, digital discovery was a simple transaction: buyers typed keywords into search engines, and brands competed for blue links. By 2026, that era has ended.

Today, buyers don't search — they converse. They ask ChatGPT to recommend enterprise software, they rely on Perplexity for clinical healthcare options, and they use Google's Gemini to find local real estate. Generative AI has become the ultimate middleman between your brand and your buyer.

Legacy SEO tools were built for the old web. They measure keyword rankings, not AI recommendations. If an AI engine routes your high-intent buyer to a competitor, you are completely invisible — and your traditional dashboards won't even tell you why.

CiteRank AI was built to fix this. We are the premier Generative Engine Optimization (GEO) platform, giving modern revenue teams the intelligence to track, benchmark and dominate their Share of Voice across every major Large Language Model (LLM).

Any number shown on this page is either a real measurement from our platform or explicitly labelled “Illustrative — sample data.”

Our genesis — engineered for complexity

CiteRank wasn't built in a vacuum. The foundational architecture of our platform comes from years of building and scaling complex systems across high-stakes industries — from fintech infrastructure and high-ticket real estate tech to executing algorithmic, quantitative trading systems.

When you spend years designing systematic, quantitative models to process massive, fragmented datasets, you realize a core truth: LLM recommendation algorithms are just another complex system. They can be measured, mapped and optimized. We took the rigorous, data-driven methodology used in algorithmic analysis and applied it to AI search visibility — creating a measurement stack that is precise, actionable and mathematically defensible.

What we do — the AI visibility operating system

We help B2B SaaS companies, D2C brands, healthcare providers and real estate developers take control of their AI narrative. Through our proprietary measurement engine, CiteRank AI provides:

  • Multi-LLM tracking — continuous citation monitoring across 8 major AI engines including ChatGPT, Google Gemini, Anthropic Claude, Perplexity and Google AI Overviews.
  • AI Share of Voice (SoV) — defensible, data-driven scoring of how often AI recommends your brand versus your top competitors for buyer-intent prompts.
  • Entity intelligence & hallucination detection — rapid identification of fabricated facts, incorrect pricing or stale claims that AI models are repeating about your business.
  • Revenue attribution — direct integration with the tools you already use to tie AI mentions back to digital pipeline and closed revenue.

Who is behind CiteRank AI

CiteRank AI was co-founded in 2026 by Shivaji Alaparthi (CEO) and Anudeep Manchineni (COO). Shivaji leads strategy, enterprise growth and go-to-market, drawing on years of scaling technology ventures for revenue teams. Anudeep leads the measurement and engineering stack, applying a quantitative-trading background to modelling LLM citation behaviour for highly regulated industries. Full bios on the leadership page.

Our mission

Help organizations build digital footprints that AI systems understand, trust and recommend. In the AI era, the best product should win — not just the one with the oldest web domain.

Our vision

Become the global source of truth for AI visibility intelligence.

Our values

  • Precision — every score must be defensible to a CFO.
  • Transparency — confidence bands, replay traffic, documented methodology.
  • Innovation — built for engines that didn't exist three years ago.
  • Trust — patient and customer data never touches an LLM.
  • Measurable outcomes — AI visibility tied to pipeline and revenue, not vanity.

Discover what AI is saying about you

Welcome to CiteRank. Meet the team behind the platform on the leadership page, or run your first free AI visibility audit.