What CiteRank AI is
CiteRank AI is a Bengaluru-based generative engine optimization (GEO) analytics company that measures brand presence in AI search engines. 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 now sits between many brands and their buyers.
Legacy SEO tools were built for the old web. They measure keyword rankings, not AI recommendations. If an AI engine routes a high-intent buyer to a competitor, traditional dashboards will not show it.
CiteRank was built to close that measurement gap. We give revenue teams a repeatable way to track and benchmark share of voice across the major large language models, with the prompts, answers and citations behind every number.
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 applied the data-driven methodology used in algorithmic analysis to AI search visibility, building a measurement stack with documented methodology, recorded evidence and stated confidence limits.
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. Our measurement stack 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) — measured scoring of how often AI answers recommend your brand versus your tracked competitors for buyer-intent prompts, with the underlying answers retained.
- Entity intelligence & hallucination detection — identification of fabricated facts, incorrect pricing or stale claims that AI models are repeating about your business.
- Revenue attribution — integrations that let you compare AI mentions against your own pipeline data. Observed relationships are reported as relationships, not proof of causation.
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 organisations build digital footprints that AI systems can read accurately, and give them transparent, repeatable measurement of how those systems respond.
Our vision
Contribute to open, repeatable measurement standards for AI-search visibility.
Our values
- Precision — every score is traceable to the prompts and answers it came from.
- 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.