The Edward Show

By Edward Sturm

Daily SEO advice, hacks, and interviews with some of the top voices in search engine optimization, as well as sit-downs with many undiscovered talents.... more

4.9

77 ratings

FAQs about The Edward Show:

How many episodes does The Edward Show have?

The podcast currently has 1,182 episodes available.

Best of The Edward Show

The most played episodes among Podcast App listeners.

Number 1: Google's Leaked Internal Presentation: "Don't Talk About Clicks"
E1174: Google has told employees not to discuss how clicks are used in Search outside of a need-to-know basis. That comes directly from an internal Google presentation from around the end of 2018 that surfaced during discovery in Google's antitrust trial. The presentation gives a rare look at how Google talks internally about Search, SEOs, leaks, ranking information, clicks, and the risks of explaining too much about how the algorithm works. I break down the most important slides and what they mean for SEOs. I cover: - Google's warning to employees to "be careful in discussing Search" - Why Google says information about how Search works should remain on a need-to-know basis - The internal line: "Everything we leak will be used against us by SEOs" - Google's warning not to discuss the use of clicks in Search except with people who understand not to discuss the topic externally - Why this matters when compared with Google's historical public statements about click-through rate and dwell time - Rand Fishkin's old CTR experiments where hundreds of searchers clicking a result were followed by major ranking movements - Gary Illyes' statement that theories around dwell time and click-through rate were "generally made-up crap" - Why Google has strong incentives to avoid publicly explaining ranking systems that SEOs would immediately test and manipulate - How John Mueller and Danny Sullivan get information about Google Search - Danny Sullivan's explanation that Search representatives talk directly with the engineers building Google's systems - Why that still does not mean every detail of Google's ranking systems gets shared publicly - Google's internal list of Search quality factors, including relevance, page quality, popularity, freshness, localization, language, centrality, topical diversity, personalization, spam authority, privacy, and more - Google's basic Search control flow: crawling, indexing, query interpretation, candidate retrieval, scoring, and final adjustments - How query interpretation includes things like synonyms, spelling, intent interpretation, and query expansion - Why Google deliberately makes parts of Search difficult to reverse engineer - Google's rank-modifying spammer patent and the idea of introducing ranking behavior designed to prevent spammers from understanding the system The larger takeaway is not that SEO is unknowable. SEOs have spent decades testing ranking factors, comparing results, running experiments, and sharing what works. That gives us a strong practical understanding of Search even when Google does not explain every ranking signal publicly. The fundamentals remain straightforward: - Make the page highly relevant to the target query - Put the target keyword in important locations such as the title, URL, H1, and beginning of the first sentence - Satisfy search intent immediately - Build real backlinks from indexed pages - Earn links people actually click - Build foundational business profiles and citations - Stay active on social media - Drive branded searches - Test what works and pay attention to real ranking results ⭐️ The internal Google presentation - https://www.justice.gov/d9/2023-09/416694.pdf ⭐️ Rand Fishkin's experiments - https://seosherpa.com/seo-experiments/ ⭐️ Gary Illyes's comment - https://www.reddit.com/r/TechSEO/comments/ao3fmk/comment/efxzljs/?context=8&depth=9 ⭐️ Danny Sullivan's comment - https://www.seroundtable.com/communication-engineers-google-ranking-systems-37376.html ⭐️ Google's API Leak - https://sparktoro.com/blog/an-anonymous-source-shared-thousands-of-leaked-google-search-api-documents-with-me-everyone-in-seo-should-see-them/ ⭐️ Ep 974 - Google's New AI Patent Could Replace Your Website - https://youtu.be/0kTEYwiRBbg 💎 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 Presentation Leaked 00:51 Why Search Secrecy Matters 01:57 Sensitive Topics and PR Risk 03:17 Clicks and CTR Controversy 05:34 Google Reps Info Source 06:52 SEO Community vs Black Box 08:05 How Search Actually Works 10:01 Simple Pareto SEO Playbook 12:18 Episode Wrap Up The Edward Show. Your daily search engine optimization podcast: https://edwardsturm.com/the-edward-show/ #searchengineoptimization #seo #digitalmarketing #generativeengineoptimization
September 21, 202613min
Number 2: ChatGPT Is Building Its Own Search Index. Here's How to Rank in It
E1183: ChatGPT is building more of its own search index, and that changes where SEO goes next. David G. Quaid joins me to break down what OpenAI appears to be doing, how its cached web content starts to function like an index, and what SEOs need to understand if ChatGPT relies less on Google and Bing over time. OpenAI has already discussed a long-term goal of serving most search traffic from its own first-party index. David explains why the change may already be happening: repeatedly fetching the same pages in real time costs too much, takes too long, and creates unnecessary dependence on traditional search engines. We get into: - Why ChatGPT's cache increasingly resembles its own search index - OpenAI's stated goal of serving more searches from first-party indexed content - Why the same small group of pages can receive tens of thousands of AI crawl requests - How Common Crawl fits into ChatGPT's search infrastructure - Why ranking #1 in Google does not automatically mean more visibility in ChatGPT - How LLMs use query fan-out to retrieve multiple documents - Why consensus across multiple sources matters more than being position #1 - How OpenAI could use Google for occasional quality checks instead of every search - Why OpenAI does not need to recreate Google's exact ranking order - Why Google's decades of spam-fighting experience still give it an advantage - How quickly OpenAI could copy major search-engine concepts once SEOs expose weaknesses - Why exact-match domains and separate satellite sites become interesting in AI search - How fabricated awards, press releases, and repeated claims across multiple websites influence AI answers - What the King of AEO experiments reveal about how easily AI systems accept manufactured consensus - Why targeting less competitive query fan-outs creates more opportunities - Why David still says doing strong Google SEO gives you the best foundation for AI visibility We also discuss another major change happening in SEO: traditional rank tracking is getting less reliable. Google's personalization and recent search changes increasingly create situations where rank trackers report positions that do not match what users actually see. David and I discuss why Google Search Console may become the real source of truth and why more SEOs may eventually build their own tracking systems around the Search Console API. Other topics include: - Whether traditional SERP trackers face an existential problem - Why impressions can fall while clicks stay flat - Google's increasing personalization of search results - Why newer SEOs suffer most when ranking data becomes less reliable - Why schema does not create authority simply because you declare an entity - Why Google's Knowledge Graph does not require schema to understand a person or brand - Why ChatGPT, Claude, Gemini, and Perplexity produce very different answers despite working from overlapping web information - Why Google Images also prefers source diversity instead of showing one domain repeatedly The biggest takeaway: even if ChatGPT builds its own index, the fundamentals do not suddenly disappear. It still needs to discover pages, decide which sources belong in its retrieval set, compare competing claims, and synthesize an answer. Optimize for Google and you land the most simultaneous high-value wins. ⭐️ David Quaid on 𝕏 - https://x.com/DavidGQuaid ⭐️ David Quaid on LinkedIn - https://www.linkedin.com/in/davidquaid/ ⭐️ David Quaid on YouTube - https://www.youtube.com/@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 LLMs Building Indexes 00:51 Crawl Inefficiency Signals 02:37 Caching Becomes Index 03:20 King Of AEO Experiments 05:24 Common Crawl Shift 07:42 OpenAI Index Evidence 10:00 Schema And Knowledge Graph 13:23 Authority Without Browser Data 18:50 SEO Spam And Digg Moment 21:35 Preparing For LLM Indexing 26:20 Rank Trackers Breaking 32:01 Flying Blind On ROI 35:01 Why This Episode 35:52 Guest Debate Fallout 36:15 LLMs Building Indexes 37:39 Why Reddit YouTube Drop 42:17 Caching Over Live Fetch 44:25 Consensus Not Ranking 46:11 Early AI Spam Loopholes 48:05 Google vs Gemini Output 48:56 Fake Awards Gray Hat 51:50 Calling Out GEO Grifters 55:23 SEO Agency Horror Story 59:19 Variance Across Sources 01:00:54 Wrap Up Next Episode The Edward Show. Your daily search engine optimization podcast: https://edwardsturm.com/the-edward-show/ #generativeengineoptimization #answerengineoptimization #searchengineoptimization #seo
September 30, 20261h 2min
Number 3: Google's September 2026 Spam Update Is Here (And It Came With a Secret AI Spam Detector)
E1180: Google's September 2026 spam update is rolling out, and this one looks very different from the last few. The update started September 24 and is registering a 9.4/10 on Semrush's volatility tracker. Google Search Advocate John Mueller also confirmed that this spam update is expected to take longer than recent spam updates, with volatility potentially continuing for roughly two weeks. At the same time, a Google research paper about a system called SAFE started circulating across the SEO industry. SAFE stands for Scaled Abuse Forensic Examiner. Google describes it as an AI-driven anti-abuse system built to identify synthetic threats that traditional classifiers and manual review struggle to catch. The timing raises an obvious question: is SAFE connected to the September spam update? Google has not confirmed that. But the paper shows how far Google's anti-spam systems have moved beyond simply asking whether a page "looks AI-generated." I break down: - What Google's September 2026 spam update is - How this rollout is taking longer than recent spam updates - What I'm seeing across two very different websites - Why one bottom-of-funnel SaaS site dropped and quickly recovered - Why a top-of-funnel content site is still experiencing volatility - How Google's SAFE analyzes content, behavior, infrastructure, timing, and relationships between content producers - Why multimodal semantic embeddings matter - How Google is using specialized AI agents to investigate synthetic abuse - Why SAFE appears designed to catch new forms of spam that traditional classifiers miss - How this relates to Google's other 2026 AI spam detection research - Why some SEOs think the September update is catching spam missed by the August update - What SEOs are reporting across X and Reddit - Why thin programmatic SEO pages may be especially exposed - What to do if your Google Search Console data suddenly becomes volatile - Why I would wait for the rollout to finish before making drastic changes - The two things I would still check immediately on your most important pages - How bottom-of-funnel SEO tends to remain more stable through major updates The biggest point: do not panic and start rebuilding your site because rankings move during the rollout. Wait until the rollout ends. Always check whether your important pages are tightly relevant to the query. Make sure the keyword appears in the title, URL, H1, and opening sentence. Then make sure the page answers search intent immediately. Google's spam systems are getting more sophisticated. SAFE shows that Google is looking at far more than individual pages. It can analyze coordinated behavior, infrastructure, semantic patterns, content relationships, and signals across larger abuse networks. The September spam update is still rolling out, so we do not have the full picture yet. I'll continue covering what changes as more data comes in. ⭐️ SE Roundtable: Google September 2026 Spam Update - https://www.seroundtable.com/google-september-2026-spam-update-42163.html ⭐️ SEMrush Volatility Tracker - https://www.semrush.com/sensor/ ⭐️ Search Engine Journal - https://www.searchenginejournal.com/google-has-deployed-a-new-ai-spam-detector-called-safe/590918/ ⭐️ Google's SAFE Research Paper (PDF) - https://storage.googleapis.com/gweb-research2023-media/pubtools/1039292.pdf ⭐️ Barry Schwartz on 𝕏 (update rollout discussion) - https://x.com/rustybrick/status/2103161355561766957 ⭐️ 2026 September spam update on Reddit - https://www.reddit.com/r/SEO/comments/1wp6ml7/google_search_central_on_x_today_we_released_the/ ⭐️ Ep 1083 - Google's New AI Spam Detector Could Wipe Out Entire SEO Networks - https://youtu.be/I78IQS99EwU ⭐️ Ep 1153 - Google Can Detect Your AI Content. Here's What Happens Next. - https://youtu.be/G0qcfknUCcU 💎 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 September Spam Update Hits Hard 00:34 What Spam Updates Mean 01:24 How This Rollout Is Longer 02:16 Real Site Volatility Examples 03:18 SAFE Paper Goes Viral 05:00 How SAFE Detects Abuse 07:33 SAFE Technical Foundations 10:01 SEO Community Reactions 11:57 What To Do If Hit 12:31 Bottom of Funnel SEO Stability 13:56 Final Sign-Off The Edward Show. Your daily search engine optimization podcast: https://edwardsturm.com/the-edward-show/ #searchengineoptimization #seo #googlespamupdate #searchmarketing
September 27, 202615min
Number 4: The Internal Linking Trick That Uses Topical Authority You Already Have
E1173: Internal linking is one of the fastest SEO improvements you can make, and this episode breaks down a simple method for using topical authority you already have to rank new pages and push existing pages higher. The method starts with a Google search: [your website] "keyword you want to rank for" Google will show you which pages on your site it already sees as relevant to that keyword. From there, you take the most relevant text on those indexed pages and internally link it to the page you actually want ranking. I cover: - How to find pages Google already associates with your target keyword - How to use those pages to pass relevance and authority to your target page - How to decide whether an existing page actually satisfies search intent - When to use exact-match anchor text and when to use variations - Why natural anchor text matters for both users and Google - How to use section anchor links when the relevant content sits farther down a page - Why optimizing an entire page around a keyword is stronger than optimizing one section - When you should create a completely new page instead - The three questions to answer before writing new SEO content - Where to place your target keyword on a new page - Why the page title, URL slug, H1, and opening sentence matter - How to satisfy search intent immediately above the fold - Why internal links from pages already getting search traffic carry more value - Why internal links that people actually click matter even more - How too many internal links make content look spammy and reduce clicks on the links that matter - Why relevant anchor text gives Google stronger context about the destination page - How this method pushes authority from existing indexed content toward new SEO pages - Why I mainly use this strategy with top-of-funnel informational content - Why I keep bottom-of-funnel SEO pages much more minimal - How excessive internal linking on conversion pages distracts people from your calls to action - How to use hub pages to build relevance for bottom-of-funnel keywords before the individual pages even exist - Why hub pages sometimes start ranking for keywords before you publish the page that satisfies the search The core idea is simple: Google already tells you which pages on your site it associates with a keyword. Use those pages. Find the relevant text, internally link it to the page you want ranking, and concentrate that existing topical authority instead of starting from zero. And if you do not already have a page that properly satisfies search intent, create one, optimize it around the keyword, give the searcher what they want immediately, and then turn the relevant content on your existing pages into internal links pointing to it. I also explain why I treat bottom-of-funnel pages differently. Those pages exist to convert. If someone lands on a page ready to buy, book, call, sign up, or become a lead, I do not want to distract them with unnecessary internal links. ⭐️ The written version of this episode: https://edwardsturm.com/articles/topical-authority-rank-faster/ ⭐️ Ep 1163 - The $50,000 Internal Linking Experiment: Links That Get Clicked Carry More Weight - https://youtu.be/biy8ILxTzqc 💎 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 Internal Linking Quick Win 00:20 Find Indexed Keyword Pages 00:56 Link to Intent Winners 01:49 Real World Anchor Examples 02:44 Avoid Exact Match Spam 03:07 Use Anchor Link Sections 04:29 Why This Works in Google 06:06 Create a New Target Page 07:53 Top vs Bottom Funnel Links 08:26 Hub Pages for Relevance 11:33 Wrap Up and Goodbye The Edward Show. Your daily search engine optimization podcast: https://edwardsturm.com/the-edward-show/ #seotips #searchengineoptimization #seo #digitalmarketing
September 20, 202612min
Number 5: Query Augmentation: How One Page Ranks for Thousands of Keywords | James Dooley
E1171: Query augmentation: how Google connects searches with related queries and why one page can end up ranking for hundreds or thousands of keywords that never even appear on the page. James Dooley returns to the show, bringing the goods. We get into the difference between lexical matching and query semantics, how Google interprets search intent, and why trusted sites with strong user and brand signals start ranking across much broader keyword buckets. James explains why a page targeting one keyword can eventually rank for entirely different phrases when Google decides those searches share the same intent. We cover: - What query augmentation is and how it relates to query fan-out - How synthetic queries expand a search into related terms - Why a page can rank for keywords that are nowhere in the content - The difference between dictionary semantics and query semantics - Why "cheap" and "best" can mean the same thing in one industry and completely different things in another - How branded search, social traffic, backlinks, user behavior, and site trust expand the queries a page ranks for - Why smaller sites need tighter relevance while trusted sites get more freedom - How to use Google Search Console to find queries Google already associates with a page - A simple Claude workflow for turning existing GSC rankings into new H2s and sections - How People Also Ask questions reveal additional topics worth targeting - James' Google Images trick for finding entities connected to a question through modifier chips - How query augmentation produces more impressions, clicks, leads, and sales - How James uses self-optimizing pages to identify low-CTR queries and rewrite sections - Why the text Google pulls into a search result matters for CTR - How to decide whether a query deserves its own page or belongs as an H2 - Why SERP overlap is one of the clearest ways to make that decision - Why 200 words is not automatically thin content - Why satisfying search intent matters more than hitting an arbitrary word count - Why James wants pages as short as possible and as long as necessary - How changing only the H2 hierarchy moved pages into different query buckets - How Claude-built websites often become too wordy - How James uses AI agents focused on semantics, sales copy, compliance, information gain, and concision - Why he uses multiple LLMs instead of relying on a single model - How LinkGap ranked for related backlink terms despite having almost no written content - How James says Koray's Audio To Text expanded into huge numbers of related searches as traffic, links, and usage grew - What the ongoing "King of AEO" competition is revealing about Google, Bing, ChatGPT, Gemini, Claude, Perplexity, Grok, YouTube, and Google Images - How James is seeing press release effects fade after roughly four to six weeks - How LinkedIn posts are still competing with exact-match domains, guest posts, press releases, and other SEO tactics The central idea is simple: rank for the initial query, satisfy the searcher, build trust, study the additional queries Google starts showing your page for, and then expand the page around the terms Google already associates with it. ⭐️ James Dooley's website - https://jamesdooley.com/ ⭐️ James Dooley on 𝕏 - https://x.com/james_dooley ⭐️ James Dooley on LinkedIn - https://www.linkedin.com/in/jameszdooley/ ⭐️ James Dooley on Instagram - https://www.instagram.com/jameszdooley/ ⭐️ James Dooley on Facebook - https://www.facebook.com/james.dooley1/ ⭐️ James Dooley on YouTube - https://www.youtube.com/@JamesDooley 💎 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 Query Augmentation 00:30 Synthetic Queries Explained 03:02 Intent and Behavioral Signals 03:47 Cheap vs Best Semantics 08:03 PPC Match Types Analogy 11:09 When Smaller Sites Win 14:24 Expanding Buckets with GSC 18:15 Entity Chips in Images 20:18 Turning Rankings into Revenue 22:04 CTR Optimization with AI 27:23 People Also Ask Link Strategy 29:08 Case Studies LinkGap and AudioToText 34:00 SEO Compounding Wins 34:40 Link Gap Lead Magnet 35:04 H2 vs New Page 37:43 Testing the 50 50 Call 39:04 Thin Content Myth 40:44 Claude Sites Done Right 45:11 Concise SOP Mindset 47:06 Query Augmentation Mistakes 49:28 Self Healing SEO Tweaks 50:40 AI Harness Model Debates 53:21 King of AEO Showdown 56:39 Press Releases and Social 01:01:23 Wrap Up and Thanks The Edward Show. Your daily search engine optimization podcast: https://edwardsturm.com/the-edward-show/ #searchengineoptimization #seotips #seo #digitalmarketing
September 17, 20261h 4min