Episodios

  • How to Influence ChatGPT & LLMs in 2026 - The SEO Playbook Nobody Is Talking About
    Jan 13 2026
    E923: Metehan Yeşilyurt, one of the most respected AI visibility and SEO researchers in the world, joins the show! Metehan has spent the past year reverse-engineering how ChatGPT, Perplexity, Gemini, and Google's AI systems decide which brands get cited, recommended, and shown to users. This conversation goes far beyond surface-level AI SEO. We break down how large language models select sources, how consensus is formed across the web, and why some brands dominate AI answers while others disappear - even when they rank well on Google. If you care about visibility, traffic, and sales from AI systems, this shows what really matters. What you'll learn: - How ChatGPT, Perplexity, and Google's AI choose which brands to cite - Why ranking on Google is no longer enough to appear in AI answers - How "consensus" across the web determines AI trust - Why press releases and off-site mentions now matter more than ever - How comparison tables influence LLM parsing and citation behavior - Where to place tables and structured content for maximum AI impact - How LLMs treat the beginning, middle, and end of a page differently - Why JavaScript-heavy websites hurt AI visibility - How server-side rendering improves crawlability for AI systems - What content chunking actually does (and doesn't) do for LLMs - How YouTube, Reddit, Medium, and social platforms influence AI search - Why TikTok and YouTube are becoming AI training and discovery engines - How query fan-out works inside LLMs - How citations change every time you ask the same AI question - How AI re-ranking differs from Google's ranking system - What "rank fusion" means in AI search - How embedding models affect which pages get surfaced - Why some brands with top Google rankings get ignored by ChatGPT - How PR campaigns influence AI recommendation systems - How to use entity SEO to build brand trust inside LLMs - How to collect real user questions to drive AI-generated sales - Why content freshness inside the last 180 days is critical - Why updating publish dates changes AI ranking - How FAQ sections increase AI visibility when done correctly - How to audit a site for AI visibility - How Metehan uses Screaming Frog, embeddings, and crawlers to find gaps - How Google's Discovery Engine reveals how chunking really works - How the Universal Commerce Protocol and AI agents may change ecommerce Why this episode matters: Search is no longer just Google. ChatGPT, Perplexity, Gemini, and AI Overviews are now deciding which brands people see, trust, and buy from. These systems do not rank websites the same exact way Google does. They use embeddings, citations, re-ranking systems, and consensus across the web. This episode explains what you need to know for visibility in 2026. Who is Metehan Yeşilyurt? Metehan is an AI visibility and SEO researcher with over 10 years of experience. He is followed by some of the most respected names in search and has worked directly on AI visibility experiments for ecommerce, SaaS, and global brands. His work focuses on: - AI citation systems - LLM ranking behavior - Entity SEO - Off-site consensus building - Reverse-engineering ChatGPT and Perplexity ⭐️ Metehan Yeşilyurt on 𝕏 - https://x.com/metehan777 ⭐️ Metehan Yeşilyurt on LinkedIn - https://www.linkedin.com/in/metehanyesilyurt/ ⭐️ Metehan Yeşilyurt blog - https://metehan.ai/ 💎 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 Introduction and Overview 00:21 Influencing LLMs: Key Strategies 01:02 Building Consensus and Content Strategies 04:51 Context Issues and Solutions 07:22 Comparison Tables and Formatting 12:37 Experiments and Case Studies 16:23 SEO and AI Visibility 21:38 Press Releases and Offsite SEO 26:49 Content Chunking Debate 30:53 Google's Discovery Engine and Chunking 34:48 Reverse Engineering and Surprising Findings 40:22 Impact of SEO Fundamentals on Rankings 41:05 Offsite SEO and AI Citation Building 41:43 Platform Investment Strategies for AI SEO 43:17 Leveraging Social Media for SEO 46:09 Effective Use of User Questions for Conversions 51:32 Conducting AI Visibility Audits 54:38 Rapid Changes in AI Visibility Strategies 57:35 The Future of E-commerce and AI Agents 01:03:01 SEO Research Tools and Techniques 01:05:31 Content Freshness and FAQs for AI Visibility 01:11:00 Global Opportunities and Language Considerations 01:11:59 Conclusion and Upcoming Episodes The Edward Show. Your daily search engine optimization podcast: https://edwardsturm.com/the-edward-show/ #generativeengineoptimization #answerengineoptimization #searchengineoptimization #digitalmarketing
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    1 h y 13 m
  • He Tested How Easy It Is to Trick AI - The Results Are Terrifying
    Jan 12 2026

    E922: SEO researcher, Mateusz Makosiewicz, created a completely fake luxury brand, published a few fabricated stories about it on Reddit and Medium, and watched as major AI tools confidently repeated the lies as fact. Even when the company's own website said those claims were false, the AI systems still chose the fake stories.

    This episode walks through exactly how the experiment worked, which AI models failed, which ones held up, and what this means for anyone running a brand, a website, or a business in an AI-driven search world.

    If you rely on ChatGPT, Gemini, Perplexity, or AI search results to understand companies, products, or people, this episode will change how you think about what those tools are actually telling you.

    What this covers:

    - How a fake luxury brand was created from scratch
    - How three fake stories were planted on Medium, Reddit, and blogs
    - Why AI models trusted fake journalism over official company data
    - How detailed lies beat vague truths inside AI systems
    - Which models were easiest to manipulate
    - Which models resisted the misinformation
    - Why Medium "investigations" are especially dangerous
    - How Reddit, Quora, and blogs now shape AI answers
    - Why AI loses memory of its own past doubts
    - What this means for reputation management and SEO
    - How brands can protect themselves in AI search

    The core problem:

    AI does not care what is true.
    It cares what sounds complete.

    When forced to choose between:

    - A company saying "we do not disclose that"
    - A fake article giving specific numbers, names, and locations

    The AI almost always chooses the fake article.

    That means anyone with a Medium account and a few hours can influence how AI describes your business, your brand, or your products.

    Why this matters for marketers and founders

    For many, AI tools have become the front door to the internet.

    People ask them what to buy, who to trust, and which companies are real.

    This experiment shows that:
    - AI search can be manipulated
    - Fake narratives spread easily
    - Official websites are not always trusted
    - Third-party content now has more weight than your own claims

    That turns SEO and PR into something new: narrative control for machines.

    We also cover the offensive and defensive playbook that comes out of this experiment, including:

    - How to structure FAQ pages so AI trusts them
    - Why you need detailed numbers, dates, and explanations
    - Why vague marketing language makes you vulnerable
    - Why comparison pages and data pages matter
    - How to monitor Medium, Reddit, and blogs for brand hijacking
    - How to detect narrative attacks early

    If you care about AI, SEO, brand reputation, or the future of search, this is one of the most important case studies there is.

    ⭐️ I Ran an AI Misinformation Experiment. Every Marketer Should See the Results - https://ahrefs.com/blog/ai-vs-made-up-brand-experiment/

    💎 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 Introduction to the AI Misinformation Experiment
    00:29 Overview of the Article and Key Takeaways
    01:17 Building a Fake Brand: Xarumei
    02:27 Phase Two: Introducing Conflicting Sources
    04:14 AI Models' Reactions and Results
    09:25 Conclusions and Best Practices for Marketers
    12:08 Final Thoughts

    The Edward Show. Your daily generative engine optimization podcast: https://edwardsturm.com/the-edward-show/

    #generativeengineoptimization #searchengineoptimization #answerengineoptimization #seo

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    14 m
  • How Teal Gets 1 Million Google Clicks a Month with AI-Powered SEO
    Jan 11 2026

    E921: Edward sits down with David Fano, Head of Growth at Teal and former WeWork executive, to break down how Teal built one of the largest SEO engines in the job search space.

    Teal now ranks for more than 893,000 keywords and gets over one million organic clicks per month from Google. In this conversation, David explains exactly how that happened, what broke along the way, and how AI agents, SERP analysis, and internal linking now drive their growth.

    This is not theory. This is what it looks like to run SEO at real scale inside a fast-growing SaaS company.

    What you'll learn:
    - How Teal built an SEO system that ranks for nearly 900,000 keywords
    - Why long-tail SEO worked, and why it eventually created new problems
    - How launching millions of job pages hurt their resume rankings
    - What topical authority really means in practice
    - How Google decides whether two keywords are actually different
    - Why "resume builder" and "AI resume builder" behave differently in search
    - How SERP analysis tells you more than SEO tools ever will
    - How Claude is being used to crawl, analyze, and compare search results
    - How to automate SEO research with headless browsers and AI agents
    - How internal linking can either amplify or dilute ranking power
    - Why pillar pages matter more than most people realize
    - How Teal uses vectorized content to guide linking and content creation
    - How AI is being used to update, audit, and refresh content at scale
    - Why some pages must convert and some pages must rank
    - What happens when CRO and SEO fight each other
    - How Canva dominates resume and template search results
    - Why some keywords should live on one page instead of two
    - How exact-match domains and entity SEO still influence rankings
    - How Teal got early traffic by ranking for "ChatGPT resume" before anyone else
    - What Google's shift toward topical authority means for large sites
    - How to recover when a new section of your site damages your main revenue pages

    Topics covered:
    - SEO for SaaS
    - Programmatic SEO
    - AI agents and browser automation
    - SERP analysis
    - Topical authority
    - Resume builder and job board SEO
    - Internal linking strategy
    - Pillar pages
    - Schema and indexing
    - Google Search Console
    - Content decay and freshness
    - Entity SEO
    - Link building and digital PR

    Watch if you care about:
    - Growing organic traffic at scale
    - Using AI to do real SEO work, not content spam
    - Building sites that Google actually trusts
    - Turning search traffic into revenue
    - Understanding how Google evaluates topics, not just pages

    Subscribe for daily deep dives on SEO, growth, and how modern companies actually get traffic from Google and AI search.

    ⭐️ David Fano on LinkedIn - https://www.linkedin.com/in/davidfano/
    ⭐️ David Fano on 𝕏 - https://x.com/davidfano
    ⭐️ Teal's main page for anyone looking to improve their resume and land a job - https://www.tealhq.com/tools/resume-builder

    💎 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 Introduction and Guest Background
    00:57 Journey into SEO and Early Career
    02:27 WeWork Experience and Growth Strategies
    04:47 SEO Challenges and Strategies at WeWork
    06:19 Current Role and SEO at Teal
    16:11 SEO Automation and Tools
    35:53 Analyzing Organic Search Results
    36:16 Building SEO Automation Tools
    37:27 Challenges with Keyword Management
    39:21 Vectorizing Content for Better SEO
    40:48 Internal Linking Strategies
    44:18 Impact of Job Pages on SEO
    57:43 Link Building Strategies
    01:10:44 A Challenging Day and Video Posting Struggles
    01:11:23 Automation Tools and Social Media Posting
    01:12:07 Manual Posting Success Stories
    01:13:31 LinkedIn Posting Strategies
    01:18:23 The Importance of Effort in Social Media
    01:22:22 SEO Insights and Strategies
    01:23:31 Building and Managing a Team
    01:23:50 Final Thoughts and Advice

    The Edward Show. Your daily search engine optimization podcast: https://edwardsturm.com/the-edward-show/

    #searchengineoptimization #programmaticseo #growthmarketing #seo

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    1 h y 48 m
  • Google vs. Grokipedia: The AI Encyclopedia That Exploded From 19 Clicks to 3.2 Million Clicks
    Jan 10 2026

    E920: I break down one of the most unusual and important SEO stories of the decade: how Grokipedia, an AI-generated encyclopedia connected to Elon Musk's Grok, went from almost zero Google traffic to millions of clicks in just weeks - and why that could force Google into a decision that changes the future of AI content in search.

    Grokipedia isn't just another AI site. It is structured like Wikipedia, fully interlinked, heavily indexed, and now ranking for millions of keywords. But unlike Wikipedia, its articles are generated and fact-checked by AI, with only optional human edit suggestions. That creates a serious problem: how does Google handle a massive AI-generated reference site that now competes directly with Wikipedia?

    This walks through what Grokipedia is, how it grew so fast, how its SEO strategy works, and why its existence puts Google in an almost impossible position.

    What this covers:
    - What Elon Musk said about Wikipedia and Grokipedia
    - How Grokipedia went from 19 Google clicks per month to 3.2 million
    - How Grokipedia uses interlinking, server-side rendering, and SEO structure
    - Why AI-generated encyclopedias can be manipulated through search results
    - How press releases and indexed claims can be used to influence AI "fact checking"
    - What Google's quality guidelines say about AI-generated content
    - Why other AI sites have already been heavily deranked
    - The precedent this could set for AI content across the entire web
    - Why Google's response could trigger a public controversy
    - What solutions might exist, and why none of them are easy

    The core question:

    Is an AI-generated encyclopedia with hallucinations more dangerous than a human-edited encyclopedia with ideological bias?

    And if both have flaws, which one should Google promote in search?

    This episode explains why Google cannot avoid making a decision - and why whatever they do will shape how AI content is treated in search for years to come.

    ⭐️ Grokipedia - https://grokipedia.com/

    ⭐️ Wikipedia - https://www.wikipedia.org/

    ⭐️ Google quality raters now assess whether content is AI-generated - https://searchengineland.com/google-quality-raters-content-ai-generated-454161

    💎 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 Introduction and Disclaimer
    00:40 Wikipedia vs. Grokipedia: The Controversy
    02:48 SEO Manipulation and Potential Issues
    04:04 Grokipedia's SEO Success
    05:15 Google's Stance on AI Content
    06:58 Possible Outcomes and Solutions
    09:17 Get Customers With SEO
    11:53 Conclusion and Sign-Off

    The Edward Show. Your daily search engine optimization podcast: https://edwardsturm.com/the-edward-show/

    #searchengineoptimization #grokipedia #aiseo #digitalmarketing

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    12 m
  • The Dark Reality of Link Building in iGaming, Crypto & Restricted Niches
    Jan 9 2026

    919: Charles Floate joins the show to reveal what link building looks like inside restricted and gray market verticals like iGaming, crypto, and prediction markets.

    This is not a surface-level SEO conversation. It's a practical breakdown of how rankings are achieved, defended, and lost in some of the most competitive and hostile SERPs on the internet.

    The discussion covers why ranking is often the easy part - and why maintaining rank has become the real challenge as negative SEO, DMCA abuse, and large-scale link manipulation continue to increase.

    Topics covered include:
    - How link building works in restricted verticals where traditional outreach fails
    - Reverse engineering SERPs to understand what Google is rewarding right now
    - Why many competitors rank using identical techniques - and why Google allows it
    - Subdomain canonical strategies and aged domain leverage
    - Scaling link building without massive outreach teams using AI systems
    - The role of human validation and where automation becomes dangerous
    - Why most large budgets in iGaming are wasted on low-value links
    - How to identify real topical authority using link gap analysis
    - Tiered link building and when it actually makes sense
    - The difference between ranking and maintaining rankings in gray markets
    - DMCA takedowns as a negative SEO weapon - and how widespread they've become
    - Why some competitors disappear from Google overnight
    - The resurgence of PBNs and why they're working again
    - Link insertions, niche edits, and why Google hasn't stopped them
    - Beginner-friendly link building tactics that still work
    - Why statistics pages attract links passively from both humans and AI systems
    - Common on-page and technical SEO mistakes in iGaming sites
    - Intent mapping and why page type matters more than keywords
    - How AI search results change the need for consensus across sources
    - Link versioning and how authoritative pages replace existing sources
    - The limits of white hat SEO in international and gray markets
    - Cloaking tactics that still appear in the wild - and which ones are mostly gone

    This episode is intended for experienced SEOs, agency owners, and operators working in highly competitive or restricted niches. If you work in regulated, gray, or high-risk verticals, this conversation reflects the realities you're already dealing with.

    If you found this episode useful, consider subscribing for daily discussions on SEO, marketing systems, and real-world ranking strategies.

    New episodes are published every day.

    ⭐️ Charles Floate on 𝕏 - https://x.com/Charles_SEO
    ⭐️ Charles Floate on LinkedIn - https://www.linkedin.com/in/charlesfloate/
    ⭐️ Charles Floate on YouTube - https://www.youtube.com/@CharlesFloate
    ⭐️ Charles Floate on Facebook - https://www.facebook.com/TheCharlesFloate/
    ⭐️ Charles Floate's PressWhizz - https://presswhizz.com/

    💎 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 Introduction to SEO Attacks and Revenue Impact
    00:32 Welcome and Introduction to Charles Floate
    01:01 Reverse Engineering and Link Building in Competitive Niches
    02:22 Techniques for Ranking in Gray Market Niches
    06:15 Scaling Link Building with AI
    10:43 Common Mistakes in Link Building and SEO
    16:54 Advanced Techniques and Best Practices
    23:23 Intent Mapping in SEO
    25:14 Challenges in iGaming SEO
    25:30 DMCA Takedowns and Negative SEO
    28:58 AI and Negative SEO
    32:13 Black Hat Link Building Tactics
    41:53 Link Building in Restricted Verticals
    43:54 Conclusion and Future Episodes

    The Edward Show. Your daily search engine optimization podcast: https://edwardsturm.com/the-edward-show/

    #blackhatseo #linkbuilding #searchengineoptimization #competitiveseo

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    45 m
  • XML Sitemaps Don't Fix SEO (Authority Does)
    Jan 8 2026

    E918: David Quaid returns to the show to break down one of the most misunderstood topics in SEO: XML sitemaps.

    Every day, people are told that if their pages are "crawled but not indexed," the fix is simple - submit a sitemap. This episode explains why that advice is usually wrong, what XML sitemaps actually do, and why authority is the real factor behind indexing and rankings.

    This conversation reframes SEO as a system, not a checklist. Instead of treating Google like it follows instructions, we look at how crawling, indexing, PageRank decay, and authority actually work in practice.

    Topics covered:
    - What XML sitemaps do and what they don't do
    - Why "crawled but not indexed" is almost never a sitemap issue
    - How Google crawlers really work (and why they aren't "spiders")
    - The difference between crawling, indexing, and ranking
    - Why pages without authority don't get indexed
    - How internal links actually transfer authority
    - PageRank decay and why most links don't matter
    - Why manual URL submission is usually the wrong approach
    - Client-side rendering, JavaScript, and how Googlebot handles them
    - Why content quality is not the reason most pages aren't indexed
    - How large sites (Amazon, eBay, news sites) still have low index rates
    - Why backlinks only matter if the linking page has traffic
    - Common mistakes SEOs make with sitemaps, crawl optimization, and indexing tools
    - When HTML sitemaps make more sense than XML sitemaps
    - How authority shapes indexing for programmatic SEO and large sites

    Who this episode is for:
    - SEOs struggling with pages that won't get indexed
    - Founders and developers working on small or mid-sized sites
    - Anyone relying on XML sitemaps as an indexing strategy
    - People who want to understand how Google actually evaluates pages

    Key takeaway:

    If Google can crawl your page but won't index it, the problem is not technical. It's authority. XML sitemaps don't create authority, don't force indexing, and don't fix underlying SEO issues.

    SEO works as a system. If you try to treat it like a checklist, it will break.

    ⭐️ 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/

    💎 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 Introduction to Sitemaps and SEO
    00:35 Debunking Common Sitemap Myths
    01:23 Understanding Google Crawlers
    03:02 Client-Side vs Server-Side Rendering
    03:26 Authority and Relevance in SEO
    03:36 Challenges with JavaScript and SEO
    05:01 The Role of Authority in Indexing
    10:50 Practical Tips for Improving Indexing
    12:56 The Importance of Context in Links
    15:14 Managing Sitemaps for Small Sites
    16:04 Handling Noindex Pages
    16:53 Crawling and Indexing Challenges
    17:24 Manual Submit Requests and Google Bots
    19:55 The Role of Sitemaps
    21:23 Backlinks and Authority
    23:40 Programmatic SEO Insights
    23:52 Common Mistakes in Programmatic SEO
    24:04 SEO for Large Websites
    25:44 SEO Strategies for New Sites
    30:42 SEO Fun and Future Topics
    31:04 Conclusion and Next Episode Teaser

    The Edward Show. Your daily search engine optimization podcast: https://edwardsturm.com/the-edward-show/

    #searchengineoptimization #xmlsitemap #googlesearchconsole #webdevelopment

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    32 m
  • Systemizing SEO: How Top Operators Scale Rankings in the AI Era (w/ Nathan Gotch)
    Jan 7 2026
    E917: I'm joined by Nathan Gotch to break down how modern SEO actually works in the AI era - and why systemizing your process matters more than ever. We go deep into how top operators think about SEO today, from local and e-commerce to SaaS and AI search platforms. This conversation is practical, opinionated, and grounded in real campaigns, not theory. What we cover: - Why systemizing SEO is more important than tactics or hacks - How to structure SEO playbooks, systems, and SOPs for repeatable results - The biggest mistakes people make with service area pages and local SEO - How to think about URL structure, intent, and conversion-first pages - When to create a new page vs expanding an existing one - How Nathan approaches SEO testing and experimentation - What actually matters in SEO audits (and what doesn't) - Site architecture, internal linking, crawl depth, and page support - HTML vs JavaScript sites and why it still matters - How AI retrieval changes crawling, indexing, and visibility - Page speed, retrievability, and why AI is less tolerant of slow sites - Using Google Search Console data to build supporting content - How to approach category pages in e-commerce without hurting conversions - The role of backlinks today and how link strategy is changing - How AI platforms pull citations for local and service-based businesses - Why Google Business Profiles still matter - and where they don't - The difference between traditional SEO and AI search visibility - What types of content AI cannot replace - When AI content works and when it clearly fails - How Nathan uses AI for development while keeping SEO fundamentals intact - Why small teams can now compete with much larger companies - What successful SEO operators do differently from everyone else This episode is especially relevant if you: - Run an SEO agency or manage client campaigns - Work in local SEO, SaaS, or e-commerce - Are trying to understand how AI affects search and visibility - Want to build repeatable SEO systems instead of starting from scratch - Care about long-term rankings, not short-term wins Nathan also shares how he's thinking about the future of SEO, AI search, and building platforms that work across Google, AI assistants, and emerging search environments. If you're serious about SEO and want to understand how top operators actually approach it today, this episode will give you a clear framework to think from. Thanks for watching and listening. ⭐️ Nathan Gotch's Search OS - https://os.nathangotch.com/ ⭐️ Nathan Gotch's Rankability - https://www.rankability.com/ ⭐️ Nathan Gotch on YouTube - https://www.youtube.com/@nathangotch ⭐️ Nathan Gotch - https://nathangotch.com/ ⭐️ Nathan Gotch on LinkedIn - https://www.linkedin.com/in/nathangotch/ ⭐️ Nathan Gotch on Instagram - https://www.instagram.com/nathan.gotch/ ⭐️ Nathan Gotch on 𝕏 - https://x.com/nathangotch 💎 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 Introduction 00:21 The Importance of Systemizing SEO 01:33 Nathan Gotch's SEO System 03:10 Building a Client Knowledge Base 07:28 Common SEO Mistakes and Best Practices 15:58 E-commerce SEO Strategies 36:51 Migrating Sites to Replit 46:05 Reading SEO Books and Creating Content 46:23 The Power of Experience in Content Creation 47:15 AI's Limitations and Human Advantages 48:53 Using AI for Case Studies and Content 49:21 Debating the Best CMS for SEO 51:08 Challenges and Benefits of WordPress 52:50 Exploring Vibe Coding and AI Tools 59:13 Building and Marketing Linkable Assets 01:01:53 Creating Software Companies with AI 01:17:16 SEO Strategies and AI Content 01:23:27 Building and Realizing Ideas 01:24:10 Mission and Vision for Rankability 01:25:40 Challenges and Persistence in Business 01:32:43 SEO Strategies and Local Business Focus 01:40:46 Influencing AI Platforms 01:49:42 Link Building and SEO Success 01:53:00 Consistency and Execution in SEO 01:59:22 Conclusion and Final Thoughts The Edward Show. Your daily search engine optimization podcast: https://edwardsturm.com/the-edward-show/ #searchengineoptimization #linkbuilding #generativeengineoptimization #answerengineoptimization
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    2 h
  • Why Google Erased Cointelegraph Overnight
    Jan 6 2026

    E916: I break down one of the most extreme search visibility collapses I've ever seen.

    Cointelegraph - one of the largest and most established crypto news sites in the world - went from over 4 million monthly Google clicks to roughly 75,000 in a matter of weeks. Even branded searches stopped returning their website.

    This episode explains what actually happened, why this was not a crypto-wide issue, and what publishers should learn from it.

    What we cover in this episode:
    - The exact timeline of Cointelegraph's traffic collapse
    - Why this was likely more than an algorithmic update
    - How Google's site reputation abuse policy played a central role
    - The quiet launch of casino, betting, and iGaming directories
    - Why low-quality third-party content is especially risky for trusted brands
    - Signs that this was a manual penalty, not normal volatility
    - Why Cointelegraph disappeared even for branded searches
    - How similar situations have affected major publishers in the past
    - What this means for crypto media, news sites, and content publishers
    - How revenue diversification can backfire when it's misaligned with editorial focus

    Key takeaway:

    This was not Google "shadow banning crypto."
    This was a case study in what happens when a trusted publisher extends its authority into unrelated, high-risk commercial content - especially when third parties are involved.

    Even the biggest brands are vulnerable when transparency, alignment, and editorial integrity break down.

    This episode also explains:
    - Why some penalties are recoverable and others are not
    - How publishers can diversify revenue without risking search visibility
    - Why building in-house products is safer than affiliate-heavy strategies
    - The role transparency plays in long-term trust and E-E-A-T

    If you're a publisher, SEO, founder, or operator who depends on organic search traffic, this episode is required listening.

    ⭐️ Pere Monguió Montells's deep dive - https://www.linkedin.com/posts/pere-monguio_a-deep-dive-into-cointelegraphs-google-ban-activity-7393924228103938049--XEf/

    ⭐️ Cointelegraph Traffic Drop and iGaming Section Removal Suggest a Possible Manual Google Penalty - https://theholycoins.com/news/cointelegraph-traffic-drop-and-igaming-section-removal-suggest-a-possible-manual-google-penalty

    ⭐️ Google hit Forbes Advisor with a manual action over the site reputation abuse policy - https://www.reddit.com/r/SEO/comments/1ft47sn/google_hit_forbes_advisor_with_a_manual_action/

    💎 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 Introduction: Cointelegraph's Google Ban
    00:18 Cointelegraph's Traffic Plunge
    01:22 Google's Site Reputation Abuse Policy
    02:17 Investigating the Ban: June to September
    04:20 October: The Collapse and Aftermath
    10:39 Lessons and Takeaways for Publishers
    14:50 Conclusion and Final Thoughts

    The Edward Show. Your daily search engine optimization podcast: https://edwardsturm.com/the-edward-show/

    #searchengineoptimization #sitereputationabuse #googlepenality #DigitalPublishing

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    15 m
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