This startup helps brands get discovered across AI search platforms
As AI begins to reshape how people discover products and services online, Gurugram-based DareAISearch is building tools to help brands stay visible across platforms such as ChatGPT, Gemini, and Perplexity.
Around 2024, Siddhartha Vanvani noticed two shifts happening at the same time. More consumers were asking AI platforms what to buy, whom to trust, and which brand to choose. At the same time, brands were seeing their organic visibility decline as AI-generated answers increasingly became the first point of discovery.
“Businesses had spent two decades optimising for search engines, but nobody was helping them optimise for AI recommendations,” Vanvani says. “We saw that opportunity early and decided to build for the future before it became obvious.”
That led to the launch of DareAISearch (DAIS) in 2025. The Gurugram-based startup helps brands get discovered, cited, and recommended across multiple AI search platforms.
Founded by CEO Vanvani, CPO Siddhant Jain and Nitisha Agarwal—all part of the leadership and founding team of the performance marketing agency Digidarts—DAIS has since grown into a 15-member team.
Building for AI discovery
Vanvani says DAIS brings together AI search analytics, intelligence, and deployment on a single platform powered by what it calls its ‘Human Decision Intelligence Engine’. It goes through publicly-available marketing and discovery signals across AI platforms, search engines, brand-owned properties and the open web, including AI citation data, search and behavioural trends, brand content, competitive visibility and recommendation patterns.
The analytics layer tracks how brands are discovered across AI platforms. The intelligence layer explains why AI systems recommend certain brands over others, while the deployment layer identifies and implements improvements that could increase visibility.
“We don’t believe brands need another dashboard,” he says. “They need an operating system that continuously measures, learns, and improves how AI systems discover, evaluate, and recommend them. We help brands move from measuring rankings to engineering recommendations.”
The company believes AI is changing how online discovery works. Unlike traditional search engines, which largely respond to existing demand, AI platforms increasingly shape consumer decisions by recommending what they consider the most relevant and trustworthy option rather than simply the most searched brand.
The shift is already visible in user behaviour. In a recent blog post, Google said AI Overviews now has more than 2.5 billion monthly active users (MAUs), while AI Mode has crossed one billion monthly users.
“Consumers are increasingly asking AI what to buy, where to travel, which software to adopt and which brand to trust,” Vanvani says. “We're witnessing the biggest shift in digital discovery since Google popularised web search.”
While advertising is expected to become a larger part of AI search over time, Vanvani says recommendations across major large language models remain largely organic.
“Advertising will inevitably become part of AI search,” he says. “Our roadmap already includes optimisation for both organic and sponsored AI discovery. We hope to become the intelligence and deployment layer for AI search, irrespective of how discovery evolves.”
Looking ahead
DAIS currently works with more than 25 enterprise brands across healthcare, consumer products, retail, automotive and technology. Its customers include ASICS, Ambuja Cement, Suntone, Earthful, and Sotheby Motorsport.
As more brands compete for visibility across AI platforms, some believe discovery will become increasingly crowded. Vanvani sees it differently.
“Every AI system that helps people discover, evaluate, and decide will require three capabilities: measurement, intelligence, and deployment,” he says. “That is the infrastructure we're building. As AI adoption grows, our intelligence engine becomes stronger because every interaction generates new intelligence about how brands are interpreted and recommended.”
The startup competes with New York-based Profound and Berlin-based Peec AI. Largely bootstrapped, DAIS generated revenue of about Rs 2.89 crores last year.
The global AI search market is presently at $16.3 billion and is projected to reach $50.9 billion by 2033.
The CEO says his team has seen an opportunity to scale DAIS as one of the category leaders in this space, not just in India, but globally.
“Our roadmap is anchored around reaching $100 million in annual recurring revenue over the next 40 months by helping enterprise brands measure, improve and scale their AI visibility and recommendation intelligence,” he says.
Vanvani says the company is still in its early stages, but expects growth to accelerate as AI-driven discovery becomes more mainstream.
“We expect to grow this several-fold over the coming quarters as AI-driven discovery becomes mainstream and more brands begin treating AI visibility as a core business metric.”