The Edward Show

Five practical UX principles that stop pogo-sticking and keep visitors on your pages. Quick tips on building instant trust and reducing friction to lift conversions. Guidance for writing scannable content and what to show above the fold. Clear advice on matching search intent immediately to improve rankings and user retention.

Nicolas Gorroño, founder of AI Ranking and SEO automation expert, shows how to scale search-friendly sites using tools like Claude Code and Astro. He demos scraping, automated publishing, video-to-blog repurposing, and techniques to keep AI content safe. Short, practical walkthroughs on structuring pages, controlling publish velocity, and making programmatic content actually rank.

E989: We break down Google's Helpful Content Update (HCU) - one of the most disruptive changes to search ever - and what it actually did to the internet. Entire websites lost 70-90% of their traffic overnight. Some never recovered. Others quietly adapted. And a few avoided the damage altogether. This is not a surface-level recap. This is a real conversation between people who were directly impacted, worked on affected sites, and spent months analyzing what changed. We cover what the HCU is, how it evolved, and why it continues to affect sites long after the initial rollout. We also challenge a lot of the common narratives around "helpful content," E-E-A-T, and what Google claims to reward. Topics discussed: - What the Helpful Content Update actually is and how it changed over time - The timeline: early signals in 2022, major impact in September 2023, and the follow-up hits in 2024 - Why some sites lost nearly all their traffic overnight - Patterns across sites that were hit vs. those that survived - The role of large-scale SEO content and where the line gets crossed - Why "good content" was not enough to avoid penalties - Whether recovery is possible - and what strategies people are testing - The idea of site-wide quality vs. page-level evaluation - Why moving content to a different domain can sometimes restore rankings - The relationship between brand, entity signals, and search performance - How Google actually evaluates content (and where it likely falls short) - The growing role of Reddit and user-generated content in search results - Whether affiliate sites and niche publishers still have a future - Why relying on SEO alone is becoming increasingly risky - What experienced operators are doing differently now This episode is based on real experience - sites that were hit, sites that were analyzed, and strategies that were tested in the aftermath. ⭐️ Lars Lofgren's website and newsletter: https://larslofgren.com/ ⭐️ Lars Lofgren on LinkedIn (tell him you came from this podcast and he'll accept your connection): https://www.linkedin.com/in/larslofgren/ ⭐️ Lars Lofgren on 𝕏: https://x.com/larslofgren ⭐️ David Quaid on 𝕏 - https://x.com/DavidGQuaid ⭐️ David Quaid on LinkedIn - https://www.linkedin.com/in/davidquaid/ ⭐️ David Quaid's agency - https://primaryposition.com/ ⭐️ Gagan Ghotra on 𝕏 - https://x.com/gaganghotra_ ⭐️ Gagan Ghotra on LinkedIn - https://www.linkedin.com/in/gagan-ghotra/ ⭐️ Gagan Ghotra's website - https://gaganghotra.com/ 🚀 Edward's SEO Articles - https://edwardsturm.com/articles/search-engine-optimization/ 💎 Compact Keywords - My SEO Course - Get paying customers through SEO - Clear step-by-step video breakdowns - SEO templates to be copied and adapted for your products and services: https://compactkeywords.com/ 00:00 HCU Fallout Overview 00:48 Timeline and Mechanics 02:22 Surviving and Recovery Tactics 03:25 Real World Hit Stories 08:12 Why Google Rolled It Out 10:17 Collateral Damage Debate 16:59 Reddit Boost and Domain Signals 19:48 E-E-A-T Skepticism 26:59 What Google Should Have Done 31:18 Affiliate SEO Future 41:03 Aggregator SEO Trap 42:28 Why Big Brands Survive 44:12 Entity Building Beats Topical Authority 48:00 Domain Authority Reality Check 50:11 PageRank Still Rules 52:16 Does Google Understand Content 01:01:36 Topical Authority Gets Weird 01:06:43 Pruning to Stop Decline 01:15:26 Turnaround Timelines 01:19:45 Crawling vs Indexing Explained 01:23:58 Debating Content Pruning 01:25:40 When to Go Nuclear 01:27:22 Pruning Wins Then Fades 01:29:12 SEO Is Not Checklists 01:33:20 HCU Triage Playbook 01:37:03 AI Scaling Trap 01:44:44 SEO Lag And Risk 01:47:34 Real Recovery Examples 01:50:10 Why They Still Love SEO 01:53:15 Multi-Channel Over SEO 01:58:39 Single Vs Multi Domain 02:11:39 Final Wrap Up The Edward Show. Your daily search engine optimization podcast: https://edwardsturm.com/the-edward-show/ #helpfulcontentupdate #searchengineoptimization #googlecoreupdate #seo

Jason Barnard, founder of Kalicube and brand SEO pioneer, explains why brand-focused search wins in the AI era. He breaks down building from branded searches upward. Short takes cover entity clarity, claim-frame-proof pages, reputation management, and how AI systems decide whom to recommend.

E987: Lily Ray joins the show to discuss how search is evolving in the age of AI. We cover the latest Google Core Updates, the rise of generative engine optimization (GEO), and how AI search tools like ChatGPT, Claude, and AI Overviews are changing the way websites earn visibility. Lily shares insights from years of analyzing Google updates and explains why many SEO strategies that work today eventually stop working. The conversation also explores how brands can build sustainable authority rather than relying on short-term tactics that risk penalties or traffic loss. We look closely at what actually drives long-term success in search, from EEAT and brand signals to the growing role of human expertise in a world flooded with AI-generated content. Topics covered: - Patterns across recent Google core updates - What "too much SEO" means and why Google targets it - The risks of programmatic SEO and scaled content - Why many GEO tactics are likely to stop working - Self-promotional listicles and how LLMs detect manipulation - How AI search tools decide which brands to cite - The role of EEAT in modern SEO - How Google evaluates expertise and authority - The relationship between branding, marketing, and SEO - Strategies for earning links without risky link building - Why internal linking and site quality still matter - How Google Discover traffic works and why it can disappear quickly - Lessons from the Helpful Content Update - What separates sites that survive updates from those that collapse - How to recover from major traffic losses - Whether affiliate websites can still succeed in search - How AI tools like Claude are changing SEO workflows - What SEO beginners should focus on in 2026 - How to launch and grow a new website today Lily also explains why sustainable SEO increasingly looks less like "SEO tricks" and more like building real expertise, publishing original ideas, and developing a recognizable brand presence across the web. If you work in SEO, run a website, or want to understand how search is changing in the AI era, this conversation offers a practical look at where the industry is heading. ⭐️ Lily Ray's Personal Site - https://lilyray.nyc/ ⭐️ Lily Ray's Agency - https://www.amsive.com/ ⭐️ Lily Ray on 𝕏 - https://x.com/lilyraynyc ⭐️ Lily Ray on Threads - https://www.threads.com/@lilyraynyc ⭐️ Lily Ray on LinkedIn - https://www.linkedin.com/in/lily-ray-44755615/ ⭐️ Lily Ray on YouTube - https://www.youtube.com/@lilyray 🚀 Edward's SEO Articles - https://edwardsturm.com/articles/search-engine-optimization/ 💎 Compact Keywords - My SEO Course - Get paying customers through SEO - Clear step-by-step video breakdowns - SEO templates to be copied and adapted for your products and services: https://compactkeywords.com/ 00:00 Google Core Update Patterns 01:06 What "Too Much SEO" Means 02:20 Programmatic SEO Versus Spam 04:18 GEO Tactics And Disasters 07:00 Self-Promotional Listicles Backfire 09:36 Whitelists And Site Searches 12:17 EEAT For LLM Visibility 14:33 How Google Judges EEAT 21:11 Link Building The Safe Way 25:26 Offensive SEO After Fundamentals 27:24 Google Discover Manipulation 29:55 Balancing SEO And Humans 32:28 Helpful Content Update Lessons 35:10 TLDRs And SEO 35:56 Tables Of Contents 37:35 Why Sites Survive Updates 40:26 Diagnosing Traffic Drops 43:28 Recovery Playbooks 45:58 Google Communication Shift 47:21 AI Mode And Ads 49:26 Using Claude For SEO 50:48 What To Automate 53:21 Recovery Timelines 54:59 When to Cut Bloat 57:14 Affiliate SEO Sites Future 58:49 Common Sense In SEO 01:01:40 Starting SEO In 2026 01:02:48 Launching A New Site 01:04:54 Final Thanks And Outro The Edward Show. Your daily search engine optimization podcast: https://edwardsturm.com/the-edward-show/ #searchengineoptimization #helpfulcontentupdate #eeat #seo

They dig into Google's long-standing advice to add relevant outbound links and why many SEOs ignore it. They review an experiment that found pages with outbound links often ranked higher. They explain different link attributes like nofollow, sponsored, and UGC and when each matters. They revisit Matt Cutts' take on PageRank sculpting and argue for citing trustworthy sources to make pages more useful.

David Quaid, SEO veteran and consultant known for practical search strategies and experimentation. He explains why exact match domains still matter and when they outperform branded sites. Short takes cover using multiple domains for reputation control, automating satellite sites, risks of machine-scale content, and how GEO overlaps with traditional SEO.

E984: Two stories that highlight a broader problem on the modern internet: systems that are easily manipulated once incentives are introduced. First, Microsoft has published research describing what it calls AI recommendation poisoning. Companies are embedding hidden instructions inside "Summarize with AI" buttons and AI prompt links. When users click these links, they can inject instructions into an AI assistant's memory telling it to treat a specific company as a trusted or preferred source. The goal is simple: influence future AI responses and recommendations without the user realizing it happened. We walk through how these attacks work, why they are easy to deploy, and why they could become a short-term tactic in marketing before AI systems and search engines adapt. The second story is the shutdown and reset of Digg. The company announced it is downsizing its team after being overwhelmed by bots, automated accounts, and large amounts of low-quality SEO content. The Digg CEO cited "SEO spammers" as a major reason the platform struggled to maintain trust in its voting and engagement systems. We look at why SEO itself was not necessarily the problem, and what platforms like Digg could do differently if they want to build sustainable communities in an internet environment filled with automation and AI-generated content. Topics covered include: - Microsoft's report on AI Recommendation Poisoning - How hidden prompts can manipulate AI memory - Why "Summarize with AI" buttons can be used to plant persistent instructions - Real-world risks of biased AI recommendations in finance, news, and product decisions - Why these tactics may only work temporarily before platforms detect and block them - Digg's shutdown announcement and the return of founder Kevin Rose - The role bots, automation, and AI content played in Digg's early problems - Why lazy AI content is often worse than promotional or SEO-driven posts - Practical ideas for how social platforms could filter spam and low-quality automation - Why manipulation tends to appear anywhere online visibility and incentives exist We also reflect on the broader theme of the episode: why it is difficult to maintain healthy online systems when there are strong incentives to game them. ⭐️ Manipulating AI memory for profit: The rise of AI Recommendation Poisoning - https://www.microsoft.com/en-us/security/blog/2026/02/10/ai-recommendation-poisoning/ 💰 Edward's SEO Articles - https://edwardsturm.com/articles/search-engine-optimization/ 💎 Compact Keywords - My SEO Course - Get paying customers through SEO - Clear step-by-step video breakdowns - SEO templates to be copied and adapted for your products and services: https://compactkeywords.com/ 00:00 Why We Can't Have Nice Things 00:35 AI Recommendation Poisoning 03:17 How the Attack Works 04:27 AI Summarize Buttons and Memory 06:13 Real World Harm Scenarios 07:30 Can Platforms Stop It? 08:37 Digg Shuts Down and Resets 09:38 Digg Explains the SEO Bot Crisis 11:46 What Digg Plans Next 12:32 My Take on Digg SEO vs Spam 13:01 How to Rebuild Trust Slowly 15:46 Closing Thoughts The Edward Show. Your daily search engine optimization podcast: https://edwardsturm.com/the-edward-show/ #generativeengineoptimization #parasiteseo #searchengineoptimization #digitalmarketing

E983: Amazon is one of the largest search engines in the world, but most sellers misunderstand how products actually rank. In this episode, Edward sits down with Amazon operator and agency founder Nik Hall to break down how the Amazon ranking system works in 2026. Nik has built and scaled multiple seven-figure brands, taken products from zero to tens of thousands of retail locations, and helped dozens of companies grow on Amazon. In this conversation, he explains the mechanics behind Amazon SEO, how the A9 algorithm works, and why conversion rate and sales velocity matter more than most sellers realize. They walk through the full process of getting a product to rank on Amazon - from keyword research and listing optimization to paid ads, reviews, product development, and the role of AI in Amazon search. They also covers common mistakes sellers make, risky tactics that can get accounts banned, and how serious brands approach product testing and growth. Topics covered include: - How Amazon's A9 algorithm ranks products - Why conversion rate and sales velocity drive rankings - How organic rankings and paid ads work together - How to choose keywords and structure an Amazon listing - Why keyword stuffing no longer works - How to identify high-opportunity niches with low competition - The tools serious Amazon sellers use (Helium 10, Data Dive, and others) - What makes a high-converting Amazon product page - The importance of product-market fit and reviews - How to structure Amazon ad campaigns for better data - Why many Amazon sellers fail before they ever rank - What Amazon is doing to combat fake reviews and manipulation - How Chinese sellers compete on the platform - The role of AI, Rufus, and Amazon's evolving search experience - Why TikTok and external traffic are becoming more important - How top Amazon brands test, iterate, and improve products over time If you sell products online or are thinking about launching a brand on Amazon, this episode explains how the platform actually works and what it takes to compete today. ⭐️ Nik Hall on LinkedIn - https://www.linkedin.com/in/nikhall/ ⭐️ Nik Hall's Amazon agency - https://revivemarketingpartners.com/ 💰 Edward's SEO Articles - https://edwardsturm.com/articles/search-engine-optimization/ 💎 Compact Keywords - My SEO Course - Get paying customers through SEO - Clear step-by-step video breakdowns - SEO templates to be copied and adapted for your products and services: https://compactkeywords.com/ 00:00 Amazon SEO Playbook 00:17 Nik Hall's Amazon Journey 01:54 How Amazon Ranks 03:02 Keywords and AI Search 04:19 Rufus and Cosmo 05:22 Organic Launch Basics 07:30 Amazon Listing SEO and Images 09:28 Keyword Research 17:51 Tools for Ranking Data 19:27 High Converting Listings 22:52 Common SEO Mistakes 25:22 Backlinks and Velocity 29:55 Paid Ads Structure 31:15 Reviews and Rule Breaking 35:17 Dirty Tactics and Defense 45:05 Winning Products and Niches 47:40 Big Seller Strategies 50:54 External Brand Building 52:51 Wrap Up The Edward Show. Your daily search engine optimization podcast: https://edwardsturm.com/the-edward-show/ #amazonseo #amazonmarketing #searchengineoptimization #cpgdigitalmarketing

Bas de Goei, Head of Marketing at Orb and growth/SEO strategist, explains how Orb ranked #1 for competitive terms without heavy backlinks. He discusses building topical authority with cornerstone content, listening to customers for keyword discovery, pricing-focused content that drives conversions, and using signal-based marketing, automation, and experiments to iterate rapidly.