The CTO Show with Mehmet Gonullu

In this episode of The CTO Show with Mehmet, we dive deep with Ron Green, CTO of Kungfu.ai, a veteran AI engineer and serial entrepreneur who’s built 9 startups and deployed 120+ enterprise-grade AI systems. Ron shares how to go beyond AI hype, build custom AI that works, and unlock real ROI using the data you already have.💡 What You’ll Learn • Why bottom-up AI initiatives often outperform boardroom mandates • How to build production-grade AI using your enterprise’s proprietary data • Why agentic AI and emergent reasoning are the next major frontier • How startups can avoid the AI label trap and build real defensibility • A practical 4-phase framework for AI adoption: from data assessment to deployment • The surprising industries where AI is already transforming operations—from agriculture to finance⸻🔑 Key Takeaways • Enterprise AI success starts with use-case clarity and data readiness, not “just build me some AI.” • Agentic AI is coming fast, but businesses must balance autonomy with human-in-the-loop safety. • Proprietary data remains the strongest moat—not who owns the model, but who owns the insights. • Startups should be AI-native, but they must ground ambitions in execution, not aspiration.⸻👤 About the GuestRon Green is the Co-founder and Chief Technology Officer at KUNGFU. AI, the leading AI management consultancy and engineering firm. He is a sought-after speaker, thought leader, and podcast host who has spent more than 20 years in artificial intelligence. Ron has successfully launched and led several tech ventures, including Thrive Technologies,Ziften Technologies, and Powered. At KUNGFU.AI, Ron leads the development of AI solutions for clients across multiple industries. He holds a Master’s degree in Evolutionary and Adaptive Systems from the University of Sussex and a Bachelor’s in Computer Science from The University of Texas.https://www.linkedin.com/in/rongreen/https://www.kungfu.ai/⏱️ Episode Highlights & Timestamps • 00:55 – Ron Green’s background in AI since the Clinton era • 03:10 – Why Kungfu.ai focuses on strategy before solutions • 07:50 – Data readiness: where companies still struggle • 09:15 – Top-down vs. bottom-up AI adoption • 14:00 – How Kungfu.ai approaches human-in-the-loop AI • 18:00 – What’s next after generative AI: agentic AI and emergent reasoning • 22:30 – How startups can harness AI without overhyping • 27:00 – A 4-phase blueprint for building production-grade AI • 33:00 – Why every startup needs a real ML engineer now • 43:00 – What really differentiates companies in the AI era: data, not infrastructure • 47:00 – Ron’s final thoughts and where to connect

In this episode of The CTO Show with Mehmet, we dive deep into the future of venture capital with Cyril Shtabtsovsky, founder of AlphaSemantic and a practicing VC. Cyril shares how his data-driven platform helps venture firms source, score, and connect with high-potential startups — using proprietary algorithms and machine learning to augment traditional VC workflows.From the role of AI in deal sourcing to venture arbitrage between US and MENA, this conversation blends tech, strategy, and hard-won insights from both sides of the table.🔑 Key Takeaways • Why traditional VC gut feeling can be quantified — and where it still matters • How AlphaSemantic helps VCs find, pick, and approach the right startups • Why Series B is the “sweet spot” for data-driven venture strategies • The arbitrage opportunity between regions like Europe, MENA, and the US • Where deep tech, space tech, and robotics are headed in 2025 and beyond⸻🎓 What You’ll Learn • The rise of data-driven VC platforms and what’s driving adoption • How Cyril’s published research back-tested startup success using public signals • What makes a VC fund globally competitive in today’s AI-native environment • Why deep tech may be the last defensible moat in the age of SaaS commoditization • Realistic startup valuation trends and exit paths in 2025👤 About the GuestCyril Shtabtsovsky is the founder of AlphaSemantic, a platform that empowers VCs with smart sourcing tools using big data, semantic search, and predictive scoring. Cyril is also an active venture capitalist and published researcher on startup success prediction. His mission is to democratize advanced VC tooling for the next generation of investors.https://www.linkedin.com/in/cyrilsh/https://www.alphasemantic.ai/https://arxiv.org/abs/2309.15552v1⏱️ Episode Highlights & Timestamps (Spotify + YouTube Chapters)00:00 – Intro: Meet Cyril, founder of AlphaSemantic02:00 – Why AlphaSemantic was born: From thesis to product04:20 – The contradiction: Gut feeling vs. data-driven VC07:00 – What stage is best for data-driven sourcing?09:00 – Demo logic: What AlphaSemantic’s onboarding looks like11:00 – The VC’s job: Find, pick, win13:10 – Gut feeling as unconscious data processing15:00 – How Cyril’s paper achieved 86% success prediction rate17:30 – The challenge of scaling data-driven VC in emerging markets20:00 – How new VCs can differentiate without a brand22:00 – Deep tech, AI, and the post-software opportunity24:00 – MENA data quality gaps vs. US/Europe VC infrastructure28:00 – Global arbitrage in valuations between MENA, Europe, and the US34:00 – What deep tech bets matter in 202540:00 – Angels vs. VCs: The role of smart capital44:00 – Final thoughts: Optimism, growth, and regional momentum

In this episode of The CTO Show with Mehmet, we sit down with Glen Cameron, founder and CEO of Bonded, to explore how technology can validate the most human thing we have: relationships.From immigration barriers to identity verification in a deepfake world, Glen unpacks the inspiration behind Bonded — a startup building proof-of-relationship infrastructure for the AI age.🎯 Key Takeaways • The problem with traditional identity: it’s static and individual • Immigration systems still rely on analog evidence of relationships • Deepfakes and fraud are making it harder to prove authentic human ties • Bonded’s approach: blending AI, privacy-first design, and blockchain timestamping • The concept of “proof of human relationship” as a new digital primitive • Why self-sovereign identity must extend beyond individuals to relationships • Use cases beyond immigration: from border checks to creative rights and relational passports • Glen’s unique founder journey from global ad exec to protocol builder⸻🎧 What You’ll Learn • How AI and blockchain can work together to solve real-world identity challenges • The unseen complexity behind relationship verification in immigration • Why “relational identity” may be the missing link in Web3 innovation • How Glen is building a platform that’s both deeply technical and radically human👤 About the GuestGlen Cameron is the founder of Bonded and Together Alone Ventures, with a diverse background spanning global PR, branding, and deep tech innovation. A true global citizen, Glen has lived and worked in 15+ countries and is now building a Web3- and AI-enabled platform to bring dignity, trust, and speed to how we prove human connection in high-stakes processes like immigration, banking, and beyond.https://www.linkedin.com/in/glencameronpb/https://www.bonded2.com/⏱️ Episode Highlights 00:00 – Intro and how Mehmet and Glen met02:00 – Glen’s personal immigration struggle that sparked Bonded06:30 – Why traditional proof of relationships is broken09:00 – Using AI + blockchain to build time-based, verifiable relational identity13:30 – Starting from scratch: what if you’re already 45 years old?16:00 – Privacy-first approach: user-owned data, kill switch, full control18:30 – Getting immigration authorities to accept digital proof21:00 – How Bonded structures evidence (scrollable timeline, triangulated proof)23:30 – Border crossings, interrogation, and “proof in your pocket”25:00 – Glen on why existing tech harvests data without helping users27:00 – Expanding beyond immigration: traffic stops, IP rights, relational AI agents30:00 – Why Web3 matters — and how Bonded avoids the hype traps34:00 – Glen’s global career story and lessons from advertising to tech41:00 – The rise of real use cases for relational protocols44:00 – Fundraising, building responsibly, and going beyond MVP47:00 – Final thoughts and how to get in touch with Glen

In this special 500th episode of The CTO Show with Mehmet, we dive deep into the talent game behind startup scaling and private equity moves. Joining us is Justin Dixon, founder of Hire Tomorrow, who brings nearly two decades of recruiting experience—from Fortune 500s to early-stage startups and PE-backed ventures.We explore how AI is disrupting (and complicating) hiring, why job security at big companies is a myth, and how to evaluate a startup as if you were a VC—even when you’re just looking for your next role.🔑 Key Takeaways: • The shift from employee to founder mindset (and how Rich Dad Poor Dad started it all) • How startups can compete with Fortune 500s for top talent • Why private equity firms almost always replace the CFO post-acquisition • What startup job seekers should really evaluate (hint: think like a VC) • How AI is flooding hiring pipelines—and what that means for founders and recruiters • Why job security at big companies is often an illusion • How Justin uses AI as a “board of advisors” to sharpen his thinking • The underrated power of podcasting for network building and deal flow⸻🎓 What You’ll Learn: • Practical hiring insights for both founders and job seekers • How to vet a startup before joining—beyond the hype • Trends shaping AI’s role in recruitment (and its limitations) • The human side of recruiting that AI can’t automate👤 About the Guest:Founder of Hire Tomorrow, Justin Dixon brings a wealth of experience and passion to his business. With a career dedicated to the recruiting industry, Justin has effectively collaborated with companies of various sizes and across diverse industries, ranging from emerging startups to Fortune 500.  In January 2020, he transitioned from his role as Head of Recruiting for a Wealth Management firm to establish Hire Tomorrow, dedicated to assisting Private Equity firms and Startups in finding the Right Talent to drive their success. Our focus extends across C-level roles, Sales, Marketing, Finance, and Technology, ensuring a comprehensive approach to fulfilling our clients' staffing needs. https://www.hiretomorrow.com/https://www.linkedin.com/in/jmdixon15/Episode Highlights (Timestamps):00:00 – Introduction and Justin’s backstory02:00 – Quitting a stable job to launch a recruiting firm06:00 – Building financial freedom through entrepreneurship08:30 – Working with private equity firms post-acquisition13:00 – Why PE firms prioritize CFO replacements15:00 – How startups can win talent over big companies19:00 – What Justin looks for in a startup before recommending it23:00 – Startup job seekers need a VC mindset27:00 – How AI is disrupting hiring—and why it’s messy33:00 – Why candidate experience is broken37:00 – Limitations of AI interviews and hidden legal risks41:00 – Why recruiters (and salespeople) won’t be replaced43:00 – How podcasting builds network, not just visibility46:00 – Wrap-up and how to reach Justin

In this episode of The CTO Show with Mehmet, host Mehmet Gonullu sits down with Karan Jain, Founder and CEO of NayaOne, to explore the broken state of enterprise tech adoption — and what it takes to fix it.With over two decades of experience in financial services and technology, Karan is on a mission to eliminate the painful 12-month vendor procurement cycles that cripple innovation in large institutions. NayaOne offers a powerful, secure platform that connects enterprises with technology vendors and enables real-time evaluation using synthetic data, workflow tooling, and curated testbeds.From regulated environments like banking and healthcare to emerging innovation hubs in MENA, this conversation dives deep into how enterprises can move faster without compromising trust, compliance, or outcomes.💡 What You’ll Learn • Why most enterprises still take 6–12 months to validate a tech vendor • How NayaOne shortens this cycle to a few weeks with sandbox infrastructure and synthetic data • The role of AI urgency in transforming procurement culture • Why “measured” doesn’t have to mean “slow” in regulated industries • How enterprise buyers are beginning to embrace experimentation over perfection • Trends in enterprise AI use cases (contact centers, dev tooling, document workflows) • What MENA banks can learn from global innovation patterns — and where they’re leapfrogging⸻🔑 Key Takeaways • 🧪 Proof-of-concept purgatory is real — but solvable with the right tools and mindset • ⏱ Speed is a competitive advantage, even in highly regulated sectors • 🤖 AI adoption requires a cultural shift, not just tools • 🌍 MENA is a region full of top-down innovation energy and emerging early adopters • 🧠 Enterprises must start thinking like platforms — not just buyers👤 About Karan Jain • Founder & CEO of NayaOne • Former exec in banking, wealth, capital markets • Passionate about transforming enterprise-vendor relationships and building tech infrastructure that accelerates delivery • Actively working with banks, insurers, governments, and regulators globally — including in the MENA regionhttps://nayaone.com/https://www.linkedin.com/in/karanjainonline/⏱ Timestamps 00:00 – Intro01:30 – Karan’s journey from banking to NayaOne03:15 – The core problem: why vendor adoption is broken05:40 – Industries most affected: finance, health, legal, public sector07:10 – How NayaOne accelerates vendor evaluation with synthetic data10:30 – Vendor vs. enterprise adoption mindsets12:20 – Executives as the key stakeholders in tech adoption14:40 – Why AI has forced enterprises to move faster17:00 – NayaOne’s internal AI journey and infrastructure20:15 – Agentic AI: hype vs. real use cases23:45 – Why 70% of “AI agents” are just glorified automation26:10 – Real enterprise AI use cases today29:00 – The enterprise fear of missing out (FOMO)31:10 – Lessons from neobanks and BNPL players34:00 – The CVC use case: accelerating adoption within portfolios36:20 – Expansion and innovation patterns in MENA39:40 – Cultural nuance and early adopters in B2B41:00 – Crossing the chasm in the MENA startup ecosystem44:00 – Where to find Karan and learn more

In this episode, host Mehmet Gonullu welcomes back Dev Aditya, Co-Founder of OIAI by Otermans Institute, who returns nearly two years after his first appearance to share an extraordinary update: they’ve built an AI teacher that runs completely offline — even on a 2020 Android phone.From educating learners in refugee camps to scaling across 17 countries, Dev’s mission is clear: make AI-powered learning accessible to the 750 million people underserved by the internet and modern hardware.We explore the engineering breakthroughs, the philosophical pivots, and the global partnerships that are making it possible.🔑 Key Takeaways: • Why offline, voice-first AI is a game changer for education in low-connectivity areas • How Dev’s team runs 3D avatar-based AI on edge devices from 2020 — without cloud inference • The reason they pivoted away from enterprise clients to return to their impact-driven mission • Why running AI for the marginalized means solving for both connectivity and hardware bottlenecks • Their ambitious goal: upskill 750M people by 2030 • The launch of an SDK for other organizations to embed their AI teaching system • Upcoming partnerships with African governments and UN bodies⸻🎓 What You’ll Learn: • How to scale AI without relying on cloud infrastructure • What true digital inclusion looks like — beyond donations and broadband • The importance of philosophy and mission in product decisions • The future of immersive, voice-first learning experiences • How to build for constraint — and still scale globally👤 About the Guest:Dev Aditya is the co-founder of OIAI by Otermans Institute. He’s known for launching the world’s first public-facing AI teachers well before ChatGPT entered the scene. Dev’s work focuses on democratizing education through AI and edge computing, bringing scalable, impactful learning to the most underserved populations.https://www.linkedin.com/in/dev-adityaofficial/https://www.portfolio.oiedu.co.uk/00:00 – Welcome back, Dev Aditya & what’s changed since Episode 212  02:00 – From rural schools to refugee camps: The origin story  05:30 – Content vs. teacher: The real challenge in scaling learning  07:00 – The philosophical misstep and going back to the mission  09:40 – Monetizing impact: Lessons from enterprise and education  11:00 – Offline breakthrough: Running AI without internet  13:40 – Engineering feat: 3D avatar AI on Android 2020 phones  15:20 – Why bigger models don’t equal better outcomes  18:00 – Did open-source LLMs influence their vision?  21:00 – How they handle data, analytics & personalization offline  23:00 – No patents? Why they’re releasing an SDK instead  25:00 – The SEA Model: Skills, Efficiency, Accessibility  27:00 – Building voice-first digital experiences for the underserved  30:00 – VR + AI for marginalized learners? Already built  32:00 – Teaching entrepreneurship, not just STEM  34:30 – An AI teacher that remembers you  36:00 – What’s next: Kenya, Guinea-Bissau & São Tomé  38:00 – Final thoughts & how to get in touch with Dev

Raj Singh, VP of Product at Mozilla and a seasoned startup founder, joins The CTO Show with Mehmet to share a candid look into the evolution of building products—from the early days of AI to today’s GenAI-fueled solo founder wave. We dive into what vibe coding means, how big companies like Mozilla are tackling zero-to-one innovation, and why most startups fail—not because of the idea, but because the founders get tired.🚀 Key Takeaways • Most startups fail in the messy middle, not the beginning or end • AI is shifting us from “doing the work” to “instructing the machine” • Vibe coding is enabling faster product iteration—but it still needs human judgment • Large companies often struggle with zero-to-one because of talent structure, risk aversion, and short conviction windows • Solo founders can thrive—if they manage their energy and support systems⸻🎯 What You’ll Learn • How Raj defines product-market fit in the GenAI era • The new role of engineers and creators in the age of AI • How to build new products inside legacy organizations • When and how to pivot—without burning out • Why AI shouldn’t be the pitch—it should be the enabler👤 About the GuestRaj is the VP of Product at Mozilla, leading new 0 to 1 product initiatives. He joined Mozilla in 2022 via the acquisition of his startup, Pulse, which developed AI meeting summarization models.Previously, Raj has been a repeat consumer-focused startup founder. He was Co-Founder and CEO of Tempo AI, a smart calendar acquired by Salesforce in 2015. He also co-founded AllTheCooks, which became the largest recipe community on Android before its acquisition by Cookpad. Earlier in his career, he served as VP of Business Development at Skyfire, a mobile browser acquired by Opera. Prior to this, Raj co-founded and exited startups in the ringtone, live video and college dating categories.https://linktr.ee/mobilerajEpisode Highlights (Timestamps)00:00 – Intro and Raj’s journey from founder to Mozilla03:00 – Pattern recognition and founder gut-checks06:15 – Why most startups are stuck in the messy middle08:45 – Evolution of AI: from OpenCV to GenAI11:20 – Vibe coding and the shift in creative workflows13:40 – The 95% AI accuracy rule and human-in-the-loop design16:00 – AI’s impact on growth hacking and customer acquisition17:40 – Can solo founders really build unicorns?20:00 – Trillion-dollar ambitions vs. billion-dollar thinking21:30 – Building zero-to-one products inside Mozilla25:00 – Why large companies struggle with innovation29:00 – Culture, incentives, and the “conviction window”33:00 – Pivoting: when to stick, when to switch36:00 – The solo founder dilemma and founder loneliness41:00 – Consumer AI: solving problems vs. chasing hype44:00 – Final advice: execute your idea—don’t just think about it

In this episode of The CTO Show with Mehmet, we sit down with Jeremy Ames, Co-Founder and CEO of Guidant Financial, a company that has helped over 30,000 entrepreneurs fund their businesses using US retirement funds. Jeremy shares his unconventional path into entrepreneurship, the rise of Main Street innovation, and what truly holds people back from launching businesses.This is a masterclass in testing ideas, avoiding costly mistakes, and seeing opportunities where others don’t—plus a refreshing take on AI adoption in traditional businesses.💡 Key Takeaways • Why retirement funds can be a powerful startup capital source • The secret behind starting a business without quitting your job: “Side Projects” • Why validation before investment is non-negotiable • What entrepreneurs often overlook about financial modeling • The power of AI in traditional businesses and why it’s about culture, not just tools • Why “shiny object syndrome” kills more businesses than lack of capital • A personal story of failure—and what Jeremy learned from a loss-making franchise bet⸻📚 What You’ll Learn • How to reduce risk when starting a business • What investors and entrepreneurs can learn from 30,000+ business launches • How to blend tech savviness with service-based business models • How AI is being used at Guidant Financial to create bottom-up innovation • Why agency, ownership, and intention matter more than ever in today’s uncertain economy👤 About the GuestJeremy Ames is a serial entrepreneur and the Co-Founder & CEO of Guidant Financial, a leader in innovative business funding solutions. With over 20 years of experience, Jeremy has helped 30,000+ individuals leverage their retirement funds to start and grow businesses through programs like 401k Business Financing (ROBS). A firm believer in the power of entrepreneurship to create wealth and freedom, Jeremy’s career spans successes, failures, and invaluable lessons, including being recognized as the SBA’s Young Entrepreneur of the Year.http://www.guidantfinancial.com/https://www.linkedin.com/in/jeremyamesentrepreneur/https://www.linkedin.com/in/jeremyamesentrepreneur/Episode Highlights 00:00 – Intro & Jeremy’s background03:00 – The emotional story behind his first business06:00 – What keeps people from starting businesses09:30 – The “Side Project” framework13:00 – The viral cocoa bomb experiment16:30 – Cleaning trash bins = $4M business?19:00 – The engineer who bought a car repair shop22:00 – Guidant’s approach to AI adoption27:00 – AI’s role in business financing29:00 – The #1 mistake entrepreneurs make after launching33:00 – Coffee shop myths and financial realism36:00 – Research, customer interviews, and competitive edge40:00 – On the illusion of copying success44:00 – A personal failure: the massage franchise story47:00 – Final thoughts on agency, entrepreneurship, and ownership

In this episode, I sit down with Greg Marlin, the CTO of ZKcandy, to explore the evolving intersection of AI agents, blockchain infrastructure, NFTs, and the gaming world. We dive deep into how Greg is building seamless onboarding for Web3 gaming, how AI agents are redefining non-player characters and companions, and why encrypted AI agent NFTs might just be the future of user-owned digital experiences.Whether you’re a founder building in Web3, an investor watching the AI frontier, or just curious about where gaming is headed—this one’s packed with insights.💡 Key Takeaways • What AI agents actually are—and why they matter in gaming • The vision behind encrypted AI companion NFTs • How ZKcandy simplifies Web3 authentication and onboarding • Why composability and simplicity are keys to developer adoption • The role of blockchain in preserving ownership and memory in AI • Founder tips on staying resilient in a copycat-prone startup environment⸻🎧 What You’ll Learn • How AI agents will revolutionize NPCs and game companions • Why ERC-7662 is critical for privacy-first AI agents on-chain • Practical strategies for founders building in AI + gaming + blockchain • A preview of Raid Quest and ZKcandy’s upcoming game featuresAbout Greg MarlinGreg is a serial entrepreneur and technologist with a track record across SaaS, crypto, AI, and developer platforms. As the CTO of ZKCandy, a layer-2 blockchain built on the ZK Stack, he’s building tools that simplify Web3 onboarding for developers and gamers alike. Greg is also the author of ERC-7662, the emerging standard for encrypted AI agent NFTs.https://www.linkedin.com/in/gregmarlin/https://zkcandy.io/https://eips.ethereum.org/EIPS/eip-7662⏱️ Episode Highlights00:00 – Intro01:00 – Greg’s journey from SaaS to AI to blockchain04:00 – Breaking down what an AI agent actually is09:30 – How AI companions will reshape gaming experiences13:00 – AI in “raid” environments and social quests15:00 – Addressing hallucinations and unpredictability in AI20:00 – What ERC-7662 is and why it matters for AI NFTs26:00 – Who owns your AI? How blockchain can protect user memory28:00 – Developer experience: Plug-and-play SDKs for Web3 games32:00 – Advice for founders building at the intersection of AI and gaming36:30 – Final thoughts + where to find Greg

In this episode, Mehmet sits down with Mauro Battellini, co-founder of Black Unicorn PR, to break down why PR is no longer optional for startups—and how the rise of AI-powered search is changing what investors and customers see first.From fundraising strategy to media perception, Mauro explains how to build legitimacy, earn visibility, and outperform better-funded competitors—even if you’re not in Silicon Valley.Whether you’re a first-time founder or a repeat entrepreneur, this episode will shift how you think about storytelling, credibility, and why “earned media” may be your strongest asset in the AI era.🔑 Key Takeaways • When PR matters: The signals investors, regulators, and enterprise clients look for beyond the pitch deck • AI’s impact on perception: How tools like ChatGPT and Perplexity influence investor research and due diligence • Personal branding vs. thought leadership: Why founders must be discoverable—before the product is • PR in emerging markets: How startups from Central & Eastern Europe or MENA can play the global media game • Fundraising and credibility: How the right PR at the right time can shorten investor cycles⸻📚 What You’ll Learn • How to identify your startup’s PR timing based on traction and stakeholder needs • Why earned media is becoming more powerful than paid ads in the AI era • The difference between “spray & pray” and strategic media outreach • How journalists evaluate startups—and how founders can become go-to voices • Real-world examples of how PR directly impacted fundraising outcomes🧑‍💼 About Mauro BattelliniMauro is the co-founder of Black Unicorn PR, an agency laser-focused on early-stage tech startups. With a background in sales, market research, and e-commerce, Mauro brings a unique lens to PR that aligns brand perception with business outcomes. His mission: help founders from non-traditional ecosystems punch above their weight in global markets.https://www.blackunicornpr.com/https://www.linkedin.com/in/mauro-alexis-battellini/Episode Highlights & Timestamps00:00 – Intro and Mauro’s journey from sales to startup PR04:30 – Why Black Unicorn PR was founded to fix broken agency models06:45 – When founders should start thinking about PR10:15 – The mindset shift: PR isn’t about vanity—it’s about trust14:00 – Thought leadership vs. personal branding in founder visibility18:20 – Why emerging markets struggle with global media presence22:40 – How PR helped Lithuanian startups get into international coverage26:30 – What PR looks like during a fundraising round30:45 – AI’s disruption of SEO and search discovery33:10 – Why PR is becoming essential in the AI discovery layer36:00 – The rise of solo journalists, niche media, and credibility loops38:20 – Practical advice: what AI sees when someone Googles you42:00 – Why PR is your startup’s trust layer in the noisy digital world45:00 – Final tips: how to map stakeholders, focus outreach, and treat journalists like investors