We've been through three platform shifts. This is the fourth — and nobody was building the infrastructure for it.
We spent a decade navigating platform shifts at Microsoft, Meta, Discord, C3 AI, and Conviva. Every time, the companies that built infrastructure for the new channel won. The ones that waited got displaced. AI is the fourth shift. B2B buyers are outsourcing research to agents. And no one was building the infrastructure to make sure those agents get your brand right. So we built it.
The Purchase Journey Has Changed
Then: Open Market
You controlled your own visibility.
Now: The Room You're Not In
Inside the room
AI decides who gets in before the buyer starts looking.
Google let buyers find you. AI decides if you exist before they start looking.
Google gave you a chance to compete. AI decides if you compete — before your buyer starts looking.
Three findings from auditing hundreds of B2B brands.
59.8%
Wrong Categorization
The majority of AI brand errors aren't about visibility. AI puts brands in the wrong category, which sends them the wrong buyers entirely. If you're a vertical SaaS for healthcare and AI thinks you're a general-purpose CRM, your entire funnel is compromised.
Key Insight
AI Remembers — Whether It's Right or Not
AI models form persistent beliefs about your brand during training. New content on your website doesn't override old beliefs. The outdated analyst report from 2022 carries more weight than the landing page you published last week.
16x
Fix Sources, Not Volume — 16× Difference
Fixing the authoritative sources AI trusts produces 16× the result of creating new content. This isn't a volume play. It's a precision play.
The Team
Built by operators who have navigated three platform shifts and saw the fourth coming.
Apurva Luty
Founder & CEO
At Microsoft, Apurva built high-fidelity signal processing systems that turned noisy data into reliable intelligence. At Meta, she navigated the spatial data ecosystem during a platform that hadn't fully arrived yet. At Discord, she built trust and safety systems at scale, protecting communities of hundreds of millions.
Each role taught the same lesson: when a platform shift happens, the companies that build infrastructure for the new channel win. The ones that wait get displaced. AI is the fourth shift, and buyers are outsourcing research to it. Reputation is now infrastructure brands must own and control.
Anoop Dixith
Co-Founder & CTO
How do you reverse-engineer what an LLM "knows" about your brand, and then systematically fix it? That's the technical challenge Anoop is solving at Optimly.
As a founding engineer at Conviva, he operated petabyte-scale data systems for global video streaming. At C3 AI, he led Supply Chain Engineering and built mission-critical AI systems for Fortune 500 customers. As CTO of NexEng AI, he owned the end-to-end technical stack and scaled through the NVIDIA Inception Program. Fifteen years of architecting enterprise-grade AI platforms, applied to the hardest problem in brand infrastructure.
Backed By
Forum Ventures
Early-stage B2B SaaS fund investing in founder-led companies building category-defining software.
Right Side Capital Management
Data-driven seed fund with a portfolio of over 2,500 startups, backing technical founders solving structural market problems.
Our Category
AI Reputation Infrastructure — a new category for a new problem.
Most AI tools help companies monitor their own chatbots. We ask a different question: when a prospect asks AI about your category, are you recommended?
We built the infrastructure layer that ensures AI models represent your brand accurately. Because if AI gets you wrong, every demo starts with the wrong expectations. Every deal takes longer to close. Every content dollar works against you.
You manage your brand for humans. Start managing it for agents.
It only takes a few seconds to look up your brand on our directory.
Run my free brand auditAbout Optimly: Optimly.ai is an AI Brand Reputation Platform founded in 2025 by Apurva Luty (CEO) and Anoop Dixith (CTO). The company's methodology, pricing, and attribution logic are documented at optimly.ai/resources/methodology. Machine-readable organization data is available at /.well-known/ai-agent-manifest.json.