Marketecture: Get Smart. Fast.
Episode: What AI Search Means for Brand Visibility: A Conversation with Omnicom’s Aaron Lanoudi
Release Date: May 12, 2025
Introduction
In this insightful episode of the Marketecture Podcast, hosts Ari Paparo and Eric Franchi engage in a compelling conversation with Aaron Lanoudi, Chief Innovation Officer of Omnicom PR. The discussion centers on the transformative impact of Artificial Intelligence (AI) on search behaviors and brand visibility. Recorded at the Markitector Live conference in New York, this episode delves deep into how AI-driven search (LLM search) differs fundamentally from traditional search algorithms and what this means for brands striving to maintain their presence in an evolving digital landscape.
The Shift from Traditional to AI Search
Alex Sherman opens the discussion by introducing Bluefish, an AI SEO marketing platform designed to help brands manage their visibility within AI-driven search environments.
Key Points:
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Traditional Search vs. AI Search: Traditional search algorithms rank content based on authority and relevance, directing users to specific websites through clickable links. In contrast, AI search utilizes Large Language Models (LLMs) to generate narrative responses directly to user queries, fostering a conversational interaction.
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User Engagement with AI Search: A notable challenge is the inaccuracy inherent in LLMs, with a reported 20% hallucination rate, leading to potential misinformation about brands.
Notable Quote:
“AI actually analyzes the content and the websites and then uses that to understand the query. Then the LLM writes the actual narrative back to the consumer and you have a conversation.”
— Aaron Lanoudi [02:34]
Challenges of AI Search for Brands
Aaron Lanoudi highlights the critical issues brands face with the rise of AI search, emphasizing the lack of awareness and control over how their brands are portrayed.
Key Points:
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Visibility Concerns: Many brands are unaware of how LLMs represent them, leading to potential misrankings or misrepresentations. For instance, a mid-sized car rental company was inaccurately described as accommodating 15 pieces of luggage in the trunk.
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Impact of Agentic AI: AI's ability to make autonomous decisions based on user prompts can adversely affect category leaders if their products are not prioritized correctly.
Notable Quote:
“If I'm the category leader of brown mascara and I'm not chosen, that's a problem.”
— Aaron Lanoudi [04:23]
Strategies for Managing AI Search
Transitioning from challenges to solutions, the conversation shifts to actionable strategies brands can adopt to navigate the AI search landscape effectively.
Key Points:
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Comprehensive AI Audits: Brands need to assess their visibility, share of voice, sentiment, and comparative standing against competitors within AI-generated responses.
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Correcting Misinformation: Addressing inaccuracies is paramount to ensure that AI narratives about products or services are both accurate and favorable.
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Optimizing Content for AI: Content, including Product Detail Pages (PDPs) and brand websites, must be restructured to align with AI's preference for Q&A formats over traditional charts and graphics.
Notable Quote:
“The first step is to really understand the lay of the land. Right. And where are you from there? It's about correcting misinformation or inaccuracies about your product or service.”
— Aaron Lanoudi [05:42]
Omnicom's AIOptics Initiative
In a significant development, Aaron Lanoudi announces Omnicom PR's latest solution, AIOptics, designed to empower brands in the AI search arena.
Key Components of AIOptics:
- AI Audit: Evaluates visibility, share of voice, sentiment, and competitive ranking.
- Misinformation Correction: Fixes inaccuracies related to the brand’s products or services.
- Optimization: Integrates efforts across PR, commerce, search, and content teams to leverage narratives and keywords identified by LLMs.
- Content Creation: Ensures consistent generation of first and third-party content, optimizing brand websites and PDPs for AI search.
Notable Quote:
“We believe this is a huge space that marketers really need to jump in because not doing so is corporate and reputational risk, not to mention sales risk.”
— Aaron Lanoudi [16:07]
Future Predictions for AI Marketing
Looking ahead, Aaron Lanoudi shares his insights on the rapid evolution of AI in marketing and the essential steps brands must take to stay ahead.
Key Points:
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Accelerated Adoption: Brands will increasingly adopt AI search to maintain control over brand narratives and protect sales.
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Impact on Marketing Stack: The introduction of AI-driven shopping experiences will disrupt traditional marketing funnels, necessitating a complete overhaul of marketing strategies.
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Emerging Trends: The rise of Agentic AI will further intensify the need for brands to engage proactively with AI search technologies.
Notable Quote:
“Reddit is the most influential source about our brand. These micro-influencers on YouTube that ChatGPT is learning from.”
— Alex Sherman [14:55]
Conclusion
The episode concludes with a consensus that AI search represents a paradigm shift in how brands interact with consumers. The rapid pace at which AI technologies are being integrated requires brands to adopt comprehensive strategies encompassing auditing, misinformation correction, optimization, and content creation. Omnicom PR's AIOptics initiative emerges as a pivotal solution tailored to address these challenges, underscoring the imperative for brands to embrace AI-driven search mechanisms to safeguard their visibility and reputation.
Final Thoughts:
“Hopefully everyone's seen that Gartner is predicting that 25% of all search will shift to AI search by 2026.”
— Aaron Lanoudi [16:07]
This episode serves as a crucial guide for marketers and brands aiming to navigate the complexities of AI search, offering both strategic insights and practical solutions to thrive in an AI-driven digital ecosystem.