• The Future of AI Advertising: Winning the Recommendation
    2026/09/02

    AI is changing advertising—and the next battleground may be inside the answer.

    In this episode of Marketing with AI, Rohit Shetty explores the rise of conversational advertising and how AI assistants are changing the way consumers discover products, compare options, and make buying decisions.

    Unlike traditional search ads built around keywords, AI advertising can operate within conversations shaped by context, intent, constraints, and preferences.

    The episode explores sponsored recommendations, AI-readable product information, recommendation-ready creative, landing pages, transparency, and the critical role of user trust.

    The key shift for marketers is simple:

    Stop thinking only about winning the click. Start thinking about winning the recommendation.

    Discover what brands need to do now to prepare for the future of advertising in AI assistants.

    #AIAdvertising #ConversationalAdvertising #AIMarketing #GenerativeAI #ConversationalAI #DigitalAdvertising #MarketingWithAI #ChatGPT #AISEO #MarketingStrategy

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    4 分
  • LinkedIn Marketing in 2026: AI Visibility & LLM SEO
    2026/08/26

    What if your LinkedIn content could become a source for AI-generated answers?

    In this episode of Marketing with AI, Rohit Shetty explores the future of LinkedIn marketing, AI visibility, LLM SEO and AI search in 2026.

    LinkedIn and Meltwater research analyzing 9.5 million AI citations found LinkedIn was the #2 cited source overall behind YouTube, while approximately 75% of LinkedIn citations came from individual member content.

    That changes how professionals should think about LinkedIn.

    Your profile can establish your expertise.

    Your posts can demonstrate what you know.

    And your content can become part of the information AI systems use when answering questions in your industry.

    In this episode, discover how to:

    → Write answers instead of generic opinions
    → Create structured, specific LinkedIn content
    → Use numbers, frameworks and examples
    → Build an AI-visible personal brand
    → Combine AI efficiency with human expertise
    → Run an AI visibility audit using real customer questions

    The goal isn't simply to get more likes.

    It's to become understandable, credible and citable.

    Because in the AI search era, people ask whether they trust you — while AI asks whether your content is relevant.

    Become the person who explains the topic.

    #MarketingWithAI #LinkedInMarketing #AIVisibility #LLMSEO #AISearch #LinkedInSEO #GenerativeAI #PersonalBranding #B2BMarketing #AIContent


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    4 分
  • From LinkedIn Post to AI Authority | Build a Knowledge Footprint
    2026/08/19

    What if your LinkedIn post could become more than just a post?

    What if your ideas could become part of the information AI systems use when answering questions about your industry, expertise, or brand?

    In this episode of Rohit Shetty Marketing with AI, Rohit explores how LinkedIn thought leadership is evolving in the age of AI search.

    Discover why likes and impressions are no longer the only measures of content success, how AI systems recognize patterns of expertise, and why consistency, evidence, connections, and entity clarity matter.

    Rohit introduces the Post, Expand, Connect, Support, Repeat framework for turning individual content into a recognizable knowledge footprint.

    Learn how to connect LinkedIn posts with articles, podcasts, videos, research, and first-hand experience—and build content that is useful to buyers and understandable to AI systems.

    Don't just create content. Create knowledge.

    #LinkedInMarketing #ThoughtLeadership #AIVisibility #AISEO #GenerativeEngineOptimization #B2BMarketing #PersonalBranding #MarketingWithAI #RohitPodcast #AI

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    4 分
  • Retrieval Engineering: The New SEO Skill for AI Search
    2026/08/12

    What if the next major SEO skill isn't keyword research, backlinks, or traditional content optimization?

    It could be retrieval engineering.

    As AI search changes how information is discovered, search is increasingly moving from keyword matching toward semantic understanding, embeddings, passage-level retrieval, entities, context, and source credibility.

    In this episode, we explore why future SEOs may look more like engineers and what retrieval engineering means for modern SEO.

    You'll learn:

    • Why SEO is becoming a retrieval problem
    • How embeddings help machines understand meaning
    • Why content chunking matters for AI retrieval
    • How semantic relevance differs from keyword matching
    • Why entity optimization and structured data matter
    • How to create more retrievable content
    • Why technical SEO is evolving
    • How vector embeddings can support content gap analysis and internal linking
    • What retrieval context engineering means
    • Why brands need to optimize for AI visibility, not just rankings

    The future of SEO isn't simply about ranking a webpage.

    It's about making your knowledge retrievable.

    #SEO #AISEO #RetrievalEngineering #AISearch #SemanticSEO #GEO #GenerativeAI #LLMOptimization #TechnicalSEO #AIVisibility

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    9 分
  • Why AI Search Rewards Experts and Filters Out Generalists | The Age of Expertise
    2026/08/05

    AI search has changed the rules of visibility.

    Search engines are no longer simply ranking pages. They are selecting answers.

    In this episode, Rohit Shetty explains why expertise has become one of the strongest signals in AI search and how creators, marketers, founders, and businesses can build topical authority that AI systems trust.

    Discover why consistency, category ownership, trust signals, entity recognition, and original insights are replacing traditional SEO tactics as the foundation of digital discoverability.

    If you want your brand to remain visible in the AI era, this episode is essential listening.

    #AISearch #AISEO #GenerativeEngineOptimization #TopicalAuthority #SEO #DigitalMarketing #AIVisibility #ThoughtLeadership #MarketingPodcast

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    10 分
  • Generative Engine Optimization (GEO): Why SEO Isn't Dead and AI Search Changes Everything
    2026/07/29

    SEO is evolving, not disappearing.

    In this episode, Rohit Shetty explains why Generative Engine Optimization (GEO) is becoming one of the most important digital marketing disciplines for 2026 and beyond.

    Discover how ChatGPT, Google AI Overviews, Gemini, Perplexity, Claude, and Microsoft Copilot determine which brands get recommended, why technical SEO still matters, and how authority, structured data, earned media, and AI citations influence online visibility.

    You'll leave with a practical GEO framework you can implement immediately to improve your brand's AI visibility and prepare for the future of search.

    #SEO #GEO #AISearch #ChatGPT #GoogleAIOverviews #DigitalMarketing #AISEO #Marketing #EnterpriseSEO #ContentStrategy

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    10 分
  • Personal Knowledge Graph: Why AI Recommends Some Experts and Ignores Others
    2026/07/22

    Why do ChatGPT, Google AI Overviews and Perplexity recommend certain professionals while others remain invisible?

    The answer isn't followers, backlinks or publishing more content.

    It's whether AI understands you as a trusted entity.

    In this episode, Rohit Shetty explores Personal Knowledge Graphs, Entity SEO, AI Visibility and Generative Engine Optimization, explaining how professionals can build a digital identity that AI assistants confidently recommend.

    You'll learn how schema markup, topical authority, independent validation and connected digital identities influence AI recommendations, along with a practical 90-day roadmap for improving discoverability across modern AI search platforms.

    If you're preparing for the future of AI Search, this episode is essential listening.

    #AIVisibility #EntitySEO #KnowledgeGraph #AISEO #GenerativeEngineOptimization #DigitalMarketing #ChatGPT #GoogleAI #PersonalBranding

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    12 分
  • The Trust Stack: How AI Decides Which Brands to Recommend
    2026/07/15

    When buyers ask ChatGPT, Gemini, Perplexity, Claude, or other AI platforms to recommend companies, what determines which brands appear in the answer?

    In this episode of Marketing with AI by Rohit Shetty, I explore the concept of the Trust Stack and explain why enterprise visibility is shifting from search rankings to AI recommendations.

    Discover how AI evaluates E-E-A-T, entity recognition, structured data, third-party validation, original research, executive expertise, and reputation consistency before recommending a brand.

    Whether you're a CMO, enterprise marketer, SEO leader, or digital strategist, this episode provides a practical framework for improving AI visibility and building machine-readable trust in an AI-first search landscape.

    Subscribe for weekly insights on AI marketing, enterprise SEO, generative AI, brand authority, and the future of digital discovery.

    #AISEO #AIVisibility #AIMarketing #GenerativeAI #EnterpriseSEO #TrustStack #ChatGPT #MarketingLeadership #BrandAuthority #LLMSEO

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    14 分