Podcast Summary
Welcome to the thirty-fifth episode of The Digital Shelf Insider Podcast hosted by Shreshta Joy. In this conversation, we’re joined by Prasanna Dhungel, Managing Partner at GrowByData, to explore how LLMs are transforming product discovery, content strategy, and marketplace visibility for consumer brands.
Prasanna breaks down how shoppers are shifting from traditional keyword-based search to conversational, AI-led discovery. He explains why visibility is no longer limited to Google SERP rankings or retail media placement, but now extends into how LLMs summarize brands across multiple touchpoints, including marketplaces, Reddit, publisher content, and social chatter.
The episode also uncovers how “total search” is becoming essential for brands, why structured data and clean product feeds influence AI answers, and how reputation signals are now surfaced more quickly and publicly inside LLM responses.
Key themes
Here’s what stood out in the conversation with Prasanna:
The Shift from Search to AI-Led Discovery
Consumers now ask AI the same way they ask another person, using conversational, context-rich questions, which changes how brands must present information.
Total Search & Share of Voice
Visibility now spans Google, marketplaces, and LLM-driven summaries. Brands must track how they show up everywhere, not just one channel.
Structured Data and Feed Quality
AI tools rely heavily on clean, structured product information. PDP accuracy, inventory freshness, and local context now influence discoverability.
Retail Media After AI Answers
Sponsored placements may no longer be the first impression. AI-generated answers increasingly shape what shoppers consider before clicking any ad.
Brand Perception Inside AI
What LLMs surface reflects both brand assets and online sentiment. If negative conversations appear in summaries, brand reputation erodes instantly.
Key Highlights
Here are the most important takeaways from the conversation with Prasanna:
- LLMs are now a first layer of discovery, not a downstream touchpoint.
- Traditional keyword SEO is insufficient without question-based content.
- “Share of voice” now includes presence inside AI answers and summaries.
- Product feeds, PDPs, and structured metadata shape LLM visibility.
- Social sentiment can slip into AI responses, creating reputational risk.
Takeaways
Here are some practical actions brands can apply today:
- Monitor visibility across Google, retail media, marketplaces, and LLMs, not in silos.
- Shift SEO from “keyword stuffing” to “answer-led content.”
- Keep PDPs fresh, structured, and inventory-synced to influence AI results.
- Track brand chatter on Reddit and social platforms as they feed LLM outputs.
- Treat LLM visibility as a performance benchmark alongside search and retail media.
Conclusion
This episode is essential listening for brand, marketplace, and digital shelf teams navigating the next wave of discoverability. As AI reshapes how consumers ask questions and evaluate products, brands must build visibility where those answers now begin inside LLMs.
If you’re responsible for search, SEO, retail media, marketplace performance, or brand reputation, this conversation with Prasanna Dhungel offers a practical roadmap for staying visible and staying ahead as AI rewrites the rules of the digital shelf.
Watch now!
Disclaimer: The content shared in the Digital Shelf Insider Podcast by MetricsCart is for general informational and discussion purposes only. The insights, opinions, and perspectives expressed by hosts and guests are their own and do not constitute professional advice, recommendations, or endorsements by MetricsCart or any affiliated entity.
