In this episode of the Analytics Insight Podcast, host Priya Diyalani speaks with Vivek Goyal, COO and Co-founder of LdotR, about the rise of agentic AI and its growing impact on digital commerce. The discussion explores how AI-driven customer journeys are transforming brand discovery, trust, cybersecurity, compliance, and enterprise strategy.
A: I am the CEO and co-founder of LdotR. We are primarily an online brand protection and digital asset management company. We started in 2019 and have been growing since then with over 50 employees spread across Mumbai, Bangalore and New Delhi and we are looking to expand into the Middle East and Southeast Asia.
A: This is a million-dollar question and I can tell you every retailer and brand owner is struggling and aiming to figure this out before their competition does. Everything that we have learned over the years on SEO, how to put the brand out there, how to rank higher in search engines will disappear. It will be turned completely 180 degrees.
AI agents will filter and shortlist brands for the users and it will not do it based on the factors that are important to us now. It will do it based on things such as structured data, verified identities. Brands will not then compete on the look and feel, but brands will have to compete on algorithmic trust and not just human attention.”
Domains will be the most critical asset that any business can have in the AI age because a domain name is the only signal that a human and an AI can understand unambiguously.”
A: Till now, everything that has happened or has been taught on the internet has been taught to appeal to a human. AI agents do not prioritize how your UX looks or how easy it is for a human to browse through your website. An AI agent prioritizes things such as authenticated domains, secure endpoints, and cryptographic trust signals over visual branding any day because that is what they understand.
Things such as clear schemas, well-configured APIs, transparent pricing, and standardized metadata will allow agents to evaluate options reliably and quickly. Anything which is a measurable trust indicator that an AI agent can access, it will raise the priority of your business and of your platform or website higher than your competitors.
A: Every sword has two sides. You can use something for good or you can use something for evil. There are AI agents which have been developed specifically to conduct phishing attacks. There are services which offer phishing as a service.
Everything starts off with a strong signal. How can you track or how can you identify an AI agent being rogue or an authenticated AI agent before you allow your systems to interact with it?
A lot of businesses are coming up with ways where they are authenticating agents and providing them certificates so that another agent can use those certificates to verify whether this agent I'm talking to is genuine or not. A dot brand provides that face to an AI agent saying, I am trustworthy. I cannot be spoofed.”
A: We have always seen that laws trail technology development. Consent must be real time and it should be revocable and clearly attributable and it should not be just about buried in one time agreements. Every agent led interaction transaction should be explainable. Who authorized it? What data was used and under which policy framework it was executed.”
Compliance will become a key aspect for an agent to trust you, your brand and your business. Trust isn't just designed, it's actually engineered.
A: AI agents will force all of them to work together because an AI agent won't distinguish between a brand and product or an infrastructure. Marketing, security, and product has to align into one coherent digital trust framework and showcase a common cohesive face to all the AI agents that are trying to interact with it. Your domain strategy will play a key role and will be a key aspect of providing this cohesive face to AI agents across the world.
A: Traditionally, all our businesses and the way we work have evolved from a manufacturing background. With AI agents coming in, instead of thinking in a manufacturing mode, businesses have to think more in a symphony mode. A lot of enterprises make the mistake that irrespective of what our current setup is in terms of technology, in terms of data, if we put an AI agent on top of it, it will fix everything.”
There’s an old saying in computer engineering, and developers know it says garbage in, garbage out. If your underlying data is not structured, if your underlying data is not coherent, if your underlying data has bugs in it and it is not clean, then whatever AI agent you put on top of it, it will just learn the same and give you the same quality of output. Every team will need to align and work together to make this AI technology a success in their businesses.”