Welcome to The Deep Dive, where A and Sayo cut through the noise to expose how AI is rewriting the rules of search. From Google’s AI Overviews to ChatGPT’s selective memory, this episode reveals the 62% brand disagreement that’s reshaping digital visibility. Discover how hybrid retrieval, reciprocal rank fusion, and SCORE-trained AI agents are redefining what “ranking” even means.
Learn the tactics, the metrics, and the mindset needed to thrive in the new AI-powered search world.
#AIsearch #DeepDivePodcast #SEO #ArtificialIntelligence #ContentStrategy #HybridRetrieval #LLM #SCOREagents #AIMarketing #DigitalGrowth
AI isn’t killing SEO—it’s rewriting the rules. In this episode, we uncover 7 surprising truths about the AI search revolution and what they mean for marketers, brands, and creators. From zero-click searches to the rise of Answer Engine Optimization (AEO) and cultural relevance, discover how to stay visible in a world where AI decides what gets seen and cited.
If you’re ready to move from chasing rankings to becoming the source of truth in the AI era, this is your essential listen.
#AISEO #AISearch #DigitalMarketing #GenerativeSearch #AnswerEngineOptimization #FutureOfSEO #MarketingPodcast #AIEra #SearchRevolution
AI is no longer just assisting—it’s acting. In this episode of The Deeep Dive, Ivan Mathews unpacks the rise of agentic AI, multi-agent systems, and Generative Engine Optimization (GEO). Discover how reasoning models, on-device AI, and emotional intelligence are transforming business, finance, and SEO in 2025. Tune in for a grounded look at how autonomous AI agents are rewriting the rules of visibility, data, and the digital economy.
#AI #AIAgents #AgenticAI #GenerativeAI #GEO #AISEO #VoiceAI #EmotionalAI #ReasoningModels #FutureOfSEO #DigitalTransformation #AIMarketing #MultiAgentSystems #TechPodcast #ArtificialIntelligence #AITrends #TheDeeepDive
AI scraping is breaking the web’s economy. In this episode of Deeep Dive, we unpack the shocking economics of AI data harvesting, plummeting CTRs from Google’s AI Overviews, and why “clicks” are no longer the measure of success.
Learn how to survive the shift to the visibility economy — where trust, brand strength, and strategic content structure decide who gets seen and who disappears.
🎙️ Hosted by Ivan Mathews
#AISEO #DigitalMarketing #SearchStrategy #Podcast #SEOTips #AIMarketing #VisibilityEconomy #Publishers #LLMs #DeeepDive
This podcast provides a comprehensive overview of Generative Engine Optimization (GEO), an evolving digital marketing strategy designed to ensure content visibility within AI-driven search environments like ChatGPT, Perplexity AI, and Google's AI Overviews. These articles consistently distinguish GEO from traditional Search Engine Optimization (SEO) by explaining that SEO aims for high search rankings, while GEO focuses on getting content cited and synthesized within AI-generated responses. Key strategies for effective GEO include optimizing for Google's E-E-A-T (Experience, Expertise, Authoritativeness, and Trustworthiness) principles, ensuring content is well-structured and uses clear headings, and leveraging multimedia and data/statistics to enhance credibility. The sources also examine how different AI models prioritize various source types, noting that models like ChatGPT favor established authorities while Google's engines incorporate more blogs and user-generated content like Reddit. Ultimately, the consensus is that GEO is an essential evolution of SEO necessary for brands to maintain relevance and visibility as search behavior shifts toward conversational, AI-generated answers.
Zero-Click Apocalypse: How AI Overviews and Soaring CPCs Broke Search
Search is broken—or at least evolving faster than ever. AI-driven overviews are swallowing clicks, and CPCs are skyrocketing, leaving marketers scrambling for visibility. In this episode, we dissect the forces behind this shift, what it means for SEO/SEM, and actionable strategies to stay ahead. Perfect for digital marketers, SEO strategists, and growth leaders.
#ZeroClickApocalypse #DigitalMarketing #SEO #SEM #AIMarketing #SearchTrends #CPC #PaidAds #MarketingPodcast #FutureOfSearch
Search is evolving faster than ever. In this episode, we dive deep into how Generative AI is reshaping the foundations of Search Engine Optimization (SEO). From the rise of Generative Engine Optimization (GEO) to the new success metrics like AI mentions, citation rates, and referral traffic from generative engines, we explore what marketers need to know to stay ahead.
We also address the challenges of tracking prompt volume and understanding the “why” behind AI citations, while offering insights on how to adapt strategies, realign skill sets, foster cross-team collaboration, and re-evaluate traditional organic search metrics in a world of AI-driven, zero-click results.
Whether you’re a digital marketer, SEO strategist, or simply curious about the future of search, this conversation is your roadmap to navigating the shift.
#SEOPodcast #GenerativeAI #DigitalMarketing #GEO #FutureOfSearch #AISEO #ZeroClickSearch #MarketingStrategy #ContentOptimization #AIinMarketing
AI in content audits serves the crucial purpose of transforming traditionally time-consuming and error-prone manual processes into faster, more accurate, and insight-driven operations. This transformation is essential for businesses to effectively manage their content marketing strategies and ensure their online presence is optimized for both human users and evolving AI search algorithms.Purpose of AI in Content Audits:Traditionally, conducting a content audit, especially for websites with thousands of pages, could take weeks or months, and human auditors might overlook errors. AI addresses these challenges by making the auditing process faster and more accurate. Its primary purpose is to automate the laborious task of gathering and organizing data from various sources like databases and spreadsheets, allowing for quick compilation of key metrics such as page views, bounce rates, social shares, keyword rankings, duplicate content, internal links, leads, and conversions.Furthermore, AI is instrumental in unraveling complex patterns and revealing connections in data that might go unnoticed by humans. This capability extends to suggesting popular topics based on competitor analysis and presenting a consolidated view of data on a single dashboard. This, in turn, makes it easier for auditors to communicate findings, contextualize data, identify content meeting business goals, and explore growth opportunities. In a broader context, similar to how AI enhances internal auditing by improving efficiency, effectiveness, and impact across planning, fieldwork, and reporting, AI in content audits aims to provide a comprehensive, data-driven foundation for strategic content decisions.Google's perspective underscores the purpose of AI in content creation and auditing: it's not about banning AI-generated content, but about rewarding original, high-quality, "people-first" content that demonstrates Experience, Expertise, Authoritativeness, and Trustworthiness (E-E-A-T), regardless of how it's produced. Therefore, the purpose of AI in content audits aligns with ensuring content meets these quality standards to succeed in search. Benefits of Leveraging AI in Content Audits: Leveraging AI in content audits offers numerous benefits, turning the process into a strategic opportunity for growth and improved return on investment (ROI). These benefits include:• Increased Efficiency and Speed ◦ Automation of Tedious Tasks: AI-powered tools automate content inventory and analysis, saving hours or even days of manual work. They can sift through website analytics data in minutes, not days. ◦ Faster Auditing Cycles: AI makes audits significantly faster and more efficient. The speed of AI-driven audits allows for quicker testing of responses to different content types and strategies. ◦ Reduced Human Error: AI tools minimize the mistakes and overlooked content errors that can occur during manual audits.• Enhanced Accuracy and Insights ◦ Deeper Data Analysis: AI can unravel complex patterns and reveal connections in information that human auditors might miss. It identifies trends, anomalies, and potential risks, leading to improved insights that strengthen content marketing plans. ◦ Improved Content Quality: AI helps content creators produce high-quality content by providing topics and keywords. Natural Language Processing (NLP) capabilities enable AI to identify spelling and grammar errors, as well as tonal and style inconsistencies, leading to a more consistent brand voice and improved user experience. ◦ Targeted Content Recommendations: Based on analysis, AI can suggest popular topics with a target audience and identify existing articles that need updates to retain their domain authority.
Marketing leaders today face a unique squeeze—tight budgets, high expectations, and rapid tech disruption. In this 18-minute episode, we explore how the AI-powered marketing stack can help CMOs move beyond survival mode and achieve unrivaled visibility.
Listeners will gain insights into:
Building an adaptive AI-driven marketing stack
Driving efficiency without sacrificing creativity
Turning AI into a strategic advantage for sustainable growth
Perfect for CMOs, digital strategists, and enterprise innovators who want to stay ahead of the curve.
AI Marketing, CMO Strategy, Marketing Stack, Enterprise Growth, Digital Transformation
In this episode, we explore the future of B2B SEO—from how digital buyers are shifting in 2025 to the AI-powered search landscape that’s reshaping marketing strategies. Learn how enterprises can leverage SEO not just for rankings, but for unrivaled revenue growth.
🎧 Perfect for CMOs, marketing leaders, SEO strategists, and digital transformation professionals looking to future-proof their growth strategies.
#B2BSEO #SEOStrategy #AISEO #DigitalMarketing #FutureOfSearch #MarketingPodcast #SEO2025 #RevenueGrowth #EnterpriseMarketing #CMOStrategy
The digital search experience is undergoing a dramatic shift. With multimodal search—the ability to query across text, voice, image, and video—search engines are redefining how consumers discover information and how brands must position themselves. For SEOs and marketers, this isn’t just a new feature; it’s a structural change in the marketing funnel.
Multimodal search allows users to combine multiple input types in a single query. A consumer might, for example, upload an image, add a voice query, and refine with text prompts. Platforms like Google Lens, Bing Visual Search, and TikTok’s search engine are expanding this behavior.
This evolution is powered by advances in large language models (LLMs) and frameworks like Google’s Multitask Unified Model (MUM), which improve the contextual understanding of diverse inputs.
Traditional SEO focused on text-based keywords. Today, visual-first generations like Gen Z expect intuitive, image- or video-driven results. Optimizing only for keywords is no longer sufficient.
Multimodal discovery blurs the lines between awareness, consideration, and decision-making. A product image search can lead directly to a purchase, bypassing traditional top-of-funnel stages.
AI-powered search engines leverage multimodal embeddings—integrating textual, visual, and auditory data—to deliver richer, context-aware results. This means content quality and data labeling (alt text, structured metadata, transcripts) are more critical than ever.
AI Overviews and Generative Results: Search engines increasingly provide summarized answers that synthesize across modalities.
Rise of Voice + Visual Queries: Smart assistants are merging voice with camera capabilities, enabling real-world problem solving (e.g., “Show me recipes with this ingredient” using a photo).
E-commerce Acceleration: Multimodal product search is shortening conversion paths by offering direct shoppable results.
Brands must optimize not only for keywords, but also for visual assets, product videos, and voice search compatibility. Structured data, schema markup, and descriptive labeling are non-negotiable.
Content needs to be cross-format—think blog posts paired with infographics, short-form video, and interactive product demos. Multimodal SEO is about being discoverable in all input types simultaneously.
The marketing funnel is evolving from linear to fluid and discovery-led. Marketers need to embrace AI-assisted customer journeys where consideration and conversion may happen instantly.
Academic research highlights ongoing breakthroughs in embedding techniques and scalable frameworks (e.g., MUST, Smart Multimodal Search). These innovations will make multimodal experiences more seamless and personalized.
In practice, SEOs and marketers who adapt early—by combining technical SEO, creative content, and structured data practices—will gain a competitive edge.
Multimodal search is no longer experimental—it’s a mainstream force in 2025. As text, image, voice, and video converge, the marketing funnel is reshaped into a fluid ecosystem of discovery, relevance, and immediacy. For brands, the message is clear: optimize across every modality, or risk invisibility in the AI-first search era.
This podcast collectively explore vibe marketing, an innovative, AI-driven approach that prioritizes emotional connection and cultural relevance over traditional feature-based marketing. This method leverages artificial intelligence (AI) and automation to rapidly create, test, and optimize content, allowing smaller teams to achieve significant reach and engagement. While proponents highlight its speed, cost-efficiency, and ability to foster deeper brand resonance, some sources introduce the concept of "slow-motion marketing" as an alternative, emphasizing the importance of human insight, intentional friction, and meaningful content creation over pure velocity. The sources also detail a wide array of AI tools and platforms that facilitate vibe marketing, ranging from content generation and workflow automation to creative design and trend analysis, alongside practical steps for implementation.
The Podcast primarily discusses the integration of SEO and content strategies to enhance digital visibility in the age of AI. It emphasizes the critical role of schema markup and content knowledge graphs in making brand content machine-readable, which is essential for appearing in AI-generated search results and conversational AI platforms. The text outlines a five-step process for enterprise teams to build and operationalize a content knowledge graph, beginning with defining core topics and utilizing schema markup to identify and connect key entities. Ultimately, the article positions these strategies as a strategic imperative for maintaining brand presence and authority in a rapidly evolving digital ecosystem.
The podcast primarily focuses on Search Engine Optimization (SEO) in the age of Artificial Intelligence (AI), emphasizing a shift from traditional ranking metrics to AI-focused visibility. It outlines five key ways to demonstrate SEO value: monitoring AI Overviews, tracking AI brand mentions and citations, analyzing branded searches, and leveraging AI Mode metrics in Google Search Console and Google Analytics 4. The text stresses the importance of adapting SEO strategies to ensure content is visible and reputable across AI-powered platforms like ChatGPT, Perplexity, and Google's AI offerings, highlighting that the landscape has evolved beyond merely appearing on the first page of Google. Ultimately, it aims to equip marketers and brands with methods to prove the return on investment (ROI) of their SEO efforts in this evolving digital environment.
Two prominent workflow automation platforms, n8n and Zapier, highlighting their distinct features, pricing models, and ideal use cases. n8n is presented as an open-source, self-hostable solution offering high flexibility, advanced customization, and greater control over data, making it suitable for technical users and complex, high-volume automation, particularly those involving AI or strict data compliance. Conversely, Zapier is characterized as a cloud-based, no-code tool with an extensive library of pre-built integrations, prioritizing ease of use and accessibility for non-technical users and simpler, rapid automation needs. The sources emphasize that while n8n can be more cost-effective for large-scale operations due to its per-workflow execution pricing, Zapier's per-task billing can become expensive with high usage, ultimately guiding users to choose based on their technical expertise, budget, and specific automation complexity.
"The Deeep Dive" podcast, a resource offering weekly insights into industry trends, expert interviews, and actionable advice for marketing and business. The podcast focuses heavily on artificial intelligence (AI) and its impact on various aspects of digital marketing, including search engine optimization (SEO), content marketing, and data utilization. Listeners can access discussions on topics such as AI search evolution, ethical challenges of AI in marketing, and strategic frameworks for business growth. The episodes, primarily led by Ivan Mathews, provide expert perspectives and real-world case studies to help transform listeners' understanding of the rapidly changing digital landscape.
A significant shift in the SEO landscape where traditional rankings and impressions are becoming obsolete due to the rise of AI-generated answers from platforms like AI Overviews and ChatGPT. The webinar aims to equip marketing professionals, SEO strategists, and content teams with data-backed insights, a proven framework, and purpose-built content strategies for achieving visibility and success in this new era of Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO). Both sources emphasize the urgency for brands to adapt their strategies to avoid becoming invisible in AI search results, offering a practical playbook for those seeking to lead in this evolving digital environment.
While we outline various strategies that contributed to Labubu's success—such as creating emotional depth through character-led branding, leveraging scarcity and mystery, encouraging community behaviors, strategic scaling, expanding cultural reach through partnerships, utilizing visual boldness, and ensuring digital visibility for a physical product—these are presented as general marketing lessons rather than a definition of "moment marketing" itself
The Podcast emphasizes that visibility in AI search is no longer solely a marketing concern but a critical business imperative requiring a cross-functional strategy. It explains that traditional SEO is insufficient, as AI tools like ChatGPT provide direct answers, necessitating a focus on structured data, credibility, and integration into AI datasets. The source highlights the essential roles of the CIO (for infrastructure and data readability), CFO (for budgeting long-term AI-ready investments), and CMO (for shaping a trusted brand narrative) in achieving this new form of visibility. Finally, it outlines key metrics for measuring AI search success and suggests tools to aid enterprises in adapting to this evolving digital landscape.
An overview of the burgeoning AI video generation landscape in India, focusing on a comparison between Google's Veo 3 and OpenAI's Sora. It highlights the increasing demand for video content and how AI is transforming content creation for various sectors, including marketing, filmmaking, and education. The text meticulously compares the features, availability, and pricing of Veo 3 and Sora, noting Veo 3's advantage in generating natural sound and Sora's current accessibility in India. It also addresses ethical concerns surrounding deepfakes and misinformation, ultimately suggesting that while Sora is currently more accessible, Veo 3 holds significant promise for its integrated audio capabilities once fully launched in India.
