No Hacks: Your Strategy Guide for the Agentic Web

The ground beneath the digital marketing industry is shifting. For decades, the mantra was simple: optimize for traffic, measure clicks, and track conversions. But with the rise of Generative AI, Large Language Models (LLMs), and Answer Engines, that rulebook is obsolete. In this powerful episode, I sit down with Joe Doveton to discuss the urgent reality facing every brand that relies on web traffic.We dive into the phenomenon Joe calls the "Crocodile Mouth", the unsettling visual trend where brands maintain high search impressions but see clicks vanish, a direct result of zero-click searches. With the proliferation of platforms like TikTok, Reddit, and various generative engines, we discuss why the Google monopoly on the customer journey is over, and how users can now move from the awareness stage to purchasing a product without ever visiting a Google property. This episode is a wake-up call for marketers still clinging to outdated KPIs.Joe introduces the new alphabet soup of optimization, GEO (Generative Engine Optimization), AEO (Answer Engine Optimization), and LLMO (Large Language Model Optimization). Crucially, we explore what this means for your analytics. If traffic and conversion rate are "lousy metrics", what should you measure? Joe reveals emerging metrics like Visibility within LLMs and competitive positioning. Most importantly, we agree that this "Wild West" era is finally killing all the outdated SEO hacks, forcing brands back to the core long-term strategy: writing useful content and focusing on the customer experience.About the GuestJoe Doveton is an experienced digital strategist, consultant, and speaker focused on the intersection of AI, search, and customer experience. With a background that includes working in advertising and a deep understanding of Conversion Rate Optimization (CRO), Joe is now pioneering tools and strategies for the Generative Engine Optimization (GEO) space. He is the founder of GEO Jet Pack, a platform designed to extract and visualize entities from content to help brands gain visibility in LLM responses - a critical new metric for the AI era.What You'll LearnThe difference between traditional SEO and the new acronyms: GEO, AEO, and LLMO.What the "Crocodile Mouth" is and why it confirms the end of the reliance on clicks.Why the old marketing KPIs, specifically web traffic and conversion rate—are now "lousy metrics" for measuring success.The new metrics emerging for the middle of the funnel, such as Visibility within LLMs and competitive position within prompt responses.Why the entire AI shift proves that long-term SEO success is still about being useful, interesting, and trustworthy (EEAT).Why the current AI era is killing all the old SEO hacks and discouraging tactics like content farming.How brands like Google are undermining their own profitable ad business by integrating AI Overviews.The vision of the Semantic Web and why the current structure of websites is inherently ill-suited for machine consumption.Guest Contact:Joe Doveton's websiteJoe Doveton on LinkedIn---If you enjoyed the episode, please share it with a friend!

There is a new user on the internet. It doesn't have eyes, it reads code, and it has zero tolerance for bad UX.In this episode, I sit down with Jes Scholz (SEO Futurist & Marketing Consultant) to discuss the "Great Correction" coming to our industry. We talk about why a decade of obsessing over short-term metrics has "corrupted" brand marketing, and why AI is finally forcing us to fix the fundamentals we’ve ignored for too long.Jes explains why AI agents are abandoning websites with messy HTML, why "entity optimization" is the real key to future visibility, and why the popular tactic of spamming Reddit to influence LLMs is a ticking time bomb for your brand.Topics Covered:Why short-term metrics broke modern marketing (and how to fix it).The "New User": How to optimize for AI agents that read code, not screens.Why "trash" code and interstitial popups are fatal for AI discovery.The "Reddit Spam" Rant: Why trying to hack AI will destroy your brand reputation.The #1 skill AI cannot replace in 2026.Timestamps: 00:00 - Intro 00:02:07 - How Short-Term Metrics "Corrupted" Brand Marketing 00:03:59 - Why Marketers Must Relearn to Work Without Perfect Metrics 00:08:00 - AI Agents: Why They Fail on Bad UX & Messy HTML 00:17:52 - Beyond the Website: Why Entity Optimization is Key for AI 00:21:14 - Why Spamming Reddit to Influence AI Will Destroy Your Brand 00:27:23 - Final Advice: The #1 Skill to Keep & The #1 Habit to DropAbout the Guest: Jes Scholz is a global digital strategist and SEO futurist. Formerly the International Digital Director for Ringier, she has led digital transformation across 140+ media and e-commerce brands in Europe, Africa, and Asia. She is now an independent consultant helping enterprises adapt to the AI era.Connect with Jes:Website: jesscholz.comNewsletter: SEO Brief on SubstackLinkedIn: Jes ScholzConnect with Sani:LinkedIn: Slobodan (Sani) ManićWebsite: nohackspod.comNewsletter: No Hacks on Substack---If you enjoyed the episode, please share it with a friend!

The promise is irresistible: generate anything you want, instantly, with zero effort. We’ve been told that AI is the great democratizer, but in this episode, we argue it’s actually the most catastrophic lie of the digital age.The truth is, this endless supply of cheap, fast content is fundamentally destroying value and driving the collapse of the internet as we know it. We're not seeing liberation; we're seeing an intellectual lazy river that's turning the web into a toxic digital swamp.In this episode, we break down the three deadly flaws of the zero-effort economy:The Dunning-Kruger loop: Why amassing "zero knowledge" before hitting 'generate' is so dangerous. We look at why amateurs, armed with powerful tools, lack the expertise to judge quality, creating a flood of confidently flawed content that only "kinda looks good."The meaning crisis & The Betty Crocker dilemma: If creation is instant, cheap, and disposable, why should you care? We dive into the psychology of effort and the IKEA Effect to explain why platforms had to force you to "add the human egg." The only way to save your work is to deliberately reintroduce friction.The platforms are killing at (the enshittification): This isn't just an accident; it’s calculated decay. We expose how platforms are actively boosting AI Slop (low-quality, high-volume garbage) to maximize their profits, directly crowding out genuine human creators. We reference Cory Doctorow's essential concept of Enshittification to explain how the entire internet is being systematically poisoned.The final warning: What happens when we keep chasing "more, more, more low-effort shit"? The existential threat of model collapse, where AI trains on its own garbage, fundamentally poisoning the source of all knowledge and accelerating us toward a "dead internet."The only way to fight back is to choose effort over ease.Find more No Hacks content: If you want to support the podcast, please subscribe, rate, and share this episode. You can also read more No Hacks content at nohacks.substack.com.---If you enjoyed the episode, please share it with a friend!

Joining the discussion is Brent Csutoras, Founder of OGS Media and an expert on Reddit community engagement. He argues that the key to future-proofing brands lies in authentic human connections, rather than AI. Brent shares his insights on navigating Reddit's unique culture, detailing how genuine interactions can drive sales. He recalls a PR disaster that turned into a reputation win for REI, and emphasizes the importance of understanding real user problems. Brent also urges marketers to adapt their strategies in the AI era, focusing on meaningful engagement.

In a captivating discussion, Bryan Eisenberg, a pioneer in marketing and conversion-rate optimization, shares insights from his 30-year career. He emphasizes empathy as the cornerstone of effective marketing. Bryan explains why storytelling transcends tools, revealing how a press release influenced AI's perception of truth. He critiques over-reliance on technology, advocating for authenticity and listening to customers. His reflections on personal challenges and the importance of community connections provide a roadmap for thriving in the AI era.

Welcome to No Hacks, the podcast that cuts through the noise to reveal the truth about the future of work and the impact of AI. In this episode, we're taking a look into the phenomenon of "vibe coding" – the idea that you can simply describe an app to an AI and have it magically built.Is Vibe Coding the shortcut to tech success, or just another false promise?Sani argues that the hype around pure vibe coding mirrors the deceptive playbook of dropshipping gurus: selling a dream that ultimately profits the platform, not the aspiring creator. We break down the seductive promises, expose the harsh realities, and reveal the catastrophic failures that occur when the "vibes turn bad."What you'll learn in this episode:What Vibe Coding Really Is: Understand the difference between responsible AI-assisted development and "pure" vibe coding, where code is accepted without full understanding.The Anatomy of a Hype Cycle: Discover the striking parallels between the vibe coding phenomenon and the dropshipping course industry, from their sales pitches to their hidden realities and who truly profits.A Catalogue of Catastrophes: Hear real-world horror stories of instantly hacked startups, data deletion disasters, and AI models that "lie"—illustrating the dangers of relying on AI without deep technical oversight.The 80/20 Trap: Explore why AI can get you 80% of the way to a prototype, but that crucial final 20%—security, scalability, and integration—requires uniquely human skills.The "No Hacks" Skills for the AI Era: We conclude by revealing the four critical, future-proof skills that will define the next generation of builders and leaders in technology: Systems Thinking, Problem Decomposition, Architectural Integrity & Security, and Expert Curation.Don't fall for the illusion of "irrational confidence" in tech. Tune in to understand why deep, durable skills, not magic, are the real path to success in the age of AI.Important links from the episode:https://www.reddit.com/r/cscareerquestions/comments/1jmyk5k/seems_like_the_guy_who_invented_the_vibe_coding/https://www.finalroundai.com/blog/vibe-coding-failures-that-prove-ai-cant-replace-developers-yethttps://www.louisbouchard.ai/genai-coding-risks/https://medium.com/@lars_13145/system-thinking-and-ai-redefining-software-product-development-a193a08119bchttps://instil.co/blog/critical-thinking-in-the-age-of-ai-and-why-it-still-matters/https://en.wikipedia.org/wiki/Lance_StephensonComparison table---If you enjoyed the episode, please share it with a friend!

The world of work is changing faster than ever, and AI is leading the charge. What does this mean for industries like SEO, marketing, and content? And more importantly, what does it mean for your career?In this episode of No Hacks, I’m joined by Olga Andrienko, a marketing leader who transitioned from VP of Brand Marketing into AI operations. Her journey is the perfect case study for how professionals can adapt when the ground shifts under their feet.We start with Olga’s “lightning bolt moment” at an AI course that showed her the power of automation and AI agents. From there, we explore:The future of SEO and search: why Google’s AI Overviews are disrupting traffic, how “search everywhere optimization” is replacing traditional SEO, and what it means for attribution.AI business models and big tech: the economic reality behind AI tools, the competition between Google and OpenAI, and why Olga switched from iPhone to Google Pixel for integrated AI features.Practical automation in marketing ops: real workflows Olga and her team automated, how to identify the right tasks to start with, and what role AI workflow architects play.The jobs of tomorrow: emerging roles like Heads of AI Ops and AI workflow specialists, why community and events still matter, and how to stand out in a flood of AI sameness.Human creativity in an AI-first world: why now is the easiest time to stand out online, and why clumsy, authentic writing can be a feature, not a bug.This conversation is not just about AI tools. It is about how work itself is being reshaped, what skills will still matter five or ten years from now, and how you can adapt your career for long-term success.👉 If you enjoyed this episode, don’t forget to subscribe to the podcast so you never miss what’s next. And join the Substack, where I share deeper insights, notes, and resources to help you navigate the future of work. Episode links:No Hacks SubstackHow to start in any brand role (Olga's LinkedIn post)---If you enjoyed the episode, please share it with a friend!

In this emergency solo episode I walk you through #ChatGate, the discovery that thousands of “shared” ChatGPT conversations are now fully searchable on Google. We de-mystify the site: operator, trace the unusual timeline that puts OpenAI, Google Cloud and Microsoft on a collision course, and explain why some marketers cheer while privacy advocates panic. Most importantly, you’ll learn how to check whether your chats are exposed and what to do next. Key TakeawaysShared ChatGPT links are public if you tick “Enable search indexing.”A sitemap discovered in late 2024 helps Google crawl those pages automatically.OpenAI now pays Google for compute while Microsoft cools its spending — timing that looks suspicious.Marketers cheering the “SEO gold-mine” are ignoring the privacy fallout.Audit yourself (site:chatgpt.com/share "Your Name"), delete stray links, and think twice before sharing sensitive prompts.Enjoy the listen — and remember: what happens in ChatGPT doesn’t necessarily stay in ChatGPT.Resources & Further ReadingGoogle Support – Advanced Search Operators (official guide to site:) https://support.google.com/websearch/answer/2466433?hl=enOpenAI Help Center – “Share your conversations” (checkbox controls indexing) https://help.openai.com/en/articles/7925741-chatgpt-shared-links-faqLinkedIn Post by Senthil Kumar – “OpenAI’s /shared-convos-sitemap.xml SEO play” https://www.linkedin.com/pulse/unboxing-chatgpts-organic-traffic-deep-dive-openais-seo-hariram-jhtkcTechCrunch (31 July 2025) – “Your public ChatGPT queries are getting indexed by Google” https://techcrunch.com/2025/07/31/your-public-chatgpt-queries-are-getting-indexed-by-google-and-other-search-engines/Fast Company (30 July 2025) – “Google is indexing ChatGPT conversations—here’s why it’s a privacy nightmare” https://www.fastcompany.com/91376687/google-indexing-chatgpt-conversationsYahoo Finance (Dec 2024) – “Microsoft has invested nearly $14 billion in OpenAI but is pulling back” https://finance.yahoo.com/news/microsoft-invested-nearly-14-billion-000512844.htmlReuters (16 July 2025) – “OpenAI taps Google Cloud TPU chips to meet soaring demand” https://www.reuters.com/business/media-telecom/openai-lists-google-cloud-partner-amid-growing-demand-computing-capacity-2025-07-16/Juliana Jackson – Substack Essay “ChatGPT Indexed Conversations” https://julianajackson.substack.com/p/chatgpt-indexed-conversations---If you enjoyed the episode, please share it with a friend!

What does life look like when search engines, junior tech jobs, and even human therapists start losing ground to generative AI? In this lightning-charged round-table, host Sani sits down with experimentation legends Erin Weigel and Lukas Vermeer to test-drive a future that’s already creeping into the present.In this episode you’ll hear:“RIP Google SERPs?”. Lukas explains why he’s stopped opening SERPs and lets ChatGPT do the leg-work instead, and what that means for SEO as a profession. Therapy by chatbot. A frank debate on the ethics of replacing licensed counselors with LLMs, complete with Erin’s tale of an AI that literally narrated its own fake empathy. The vanishing ladder. Why companies are skipping junior hires, how that starves tomorrow’s seniors, and whether YouTube “mentors” can fill the gap. Layoffs, wage pressure & the fourth AI hype-cycle. Erin argues that generative tools are becoming the C-suite’s favorite excuse to “do more with less,” accelerating job insecurity across tech. Blackout reality check. Sani recounts a one-day power failure that froze an entire city, highlighting just how thin our digital safety net really is. Off-grid plans & doom-prep kits. From Raspberry Pi LLMs to a solar-powered farmhouse in France, the crew swaps tongue-in-cheek tips for surviving an AI-augmented apocalypse. About the guestsErin Weigel is the former principal designer at Booking.com, now charting the blurry boundary between human-centered design and AI-generated “V-Zero” mock-ups.Lukas Vermeer is the ex-director of experimentation at Booking.com and Vista; known for turning data questions into live product experiments. Both Erin and Lukas started the same day at Booking.com, one of many shared origin stories they unpack. ---If you enjoyed the episode, please share it with a friend!

Why don’t users do what they say they’ll do? Why does great UX still fail sometimes? And what do the world’s top companies know about behavior that most of us miss?In this episode, Sani sits down with Katie Dove, behavioral designer at Irrational Labs, to break down the Three B Framework, a powerful behavioral design tool used by teams at Google, YouTube, and Duolingo. They unpack how context shapes decisions, why psychological friction is often invisible, and what it really takes to drive engagement through design.If you work in UX, CRO, product, or marketing, this episode will change how you think about user behavior forever.🔍 What we cover:Why values don’t always predict behavior (and why that’s okay)The Three B Framework: Behavior, Barriers, BenefitsThe difference between logistical and psychological frictionReal-world case studies: Google AdWords, ClassPass, Duolingo, top banksHow to identify the right behavior to optimizeThe psychology of mental models, defaults, and motivationWhy asking users what they want often leads you astrayRapid-fire insights on irrationality, app design, and moreGuest: Katie DoveBehavioral designer and partner at Irrational Labs Katie leads behavioral design projects for companies like Google, YouTube, and leading financial institutions. At Irrational Labs, she helps teams apply behavioral science to real-world digital products and services.🔗 IrrationalLabs.com 🔗 Follow Katie on LinkedIn---If you enjoyed the episode, please share it with a friend!