Google Can Lose Faith In Your Website (Here's How To Get It Back)

E1166: Google can lose faith in your website. That is the language Google's John Mueller used when discussing sites filled with large amounts of programmatic SEO content, low-quality pages, and generated content that fails to give users enough value. I break down what that means, why bad old pages continue to hurt a site, and what actual SEO recoveries look like. I cover: - John Mueller's warning that Google's systems can lose faith in a site based on its old pages - Why publishing hundreds or thousands of weak pages creates a sitewide problem - The danger of scaled AI content and programmatic SEO - Why producing more content does not fix a site that already has a quality problem - The "Boy Who Cried Wolf" effect in SEO - How repeatedly disappointing searchers damages the reputation of a site - Why click-through rate and pogo-sticking matter when thinking about user satisfaction - How weak pages create bad behavioral signals at scale - Why programmatic SEO makes the problem worse by publishing bad pages far faster than a human could - What happens when Google becomes more cautious about showing content from a site - How fixing the problem takes significant work and time I also break down a real recovery example where a company deleted around 200 thin AI-written pages and later saw Google traffic grow from roughly 1,000 to nearly 4,000 monthly visitors. Their new approach included: - Deleting thin AI pages first - Keeping only pages worth maintaining - Using real search data instead of having AI invent the content - Researching SERPs, search volumes, Reddit, Hacker News, and X - Using the actual language customers use - Writing bottom-of-funnel pages buyers actively search for - Publishing competitor lists with current pricing - Creating alternative pages for products people are leaving - Publishing original customer stories - Reviewing and editing every piece of content before publishing I also cover another recovery shared by Lily Ray. The site was hit by the December 2025 spam update, started making fixes, and finally began recovering roughly five months later. The takeaway is simple: If you flood your site with content that repeatedly disappoints searchers, cleaning it up is not instant. Delete the weak pages, improve the pages worth keeping, publish content people actually want, and give Google's systems enough time to see the change. Google does not forget a large history of bad content overnight. ⭐️ John Mueller's statements - https://bsky.app/profile/johnmu.com/post/3muwiaq3mws22  ⭐️ Charlotte Schmitt on 𝕏 - https://x.com/LottiSchmitt/status/2096967274343047324  ⭐️ Lily Ray on 𝕏 (recovery post) - https://x.com/lilyraynyc/status/2069739309075161234  ⭐️ Ep 989 - Google's Helpful Content Update DESTROYED the Internet (What Actually Happened) - https://www.youtube.com/watch?v=3YLUFjYrIEA  💎 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 Can Google Lose Trust 00:25 John Mueller on Programmatic SEO 01:53 Behavior Signals Explained 02:42 Boy Who Cried Wolf SEO 04:24 How Sites Recover 05:13 Pruning Playbook Steps 06:06 Bottom of Funnel Content Wins 06:37 Customer Stories Strategy 07:45 Recovery Timelines and Updates 08:51 Learn SEO the Right Way 10:40 Final Wrap Up The Edward Show. Your daily search engine optimization podcast: https://edwardsturm.com/the-edward-show/   #searchengineoptimization #seo #seorecovery #programmaticseo

E1165: Position #1 on Google is dead, at least as a single, static ranking you can check once and trust. Joy Hawkins returns to break down a study of 8.1 million Google search results that found organic rankings became 48.7% more volatile after the May 2026 Core Update. 97% of the tracking reports analyzed started shuffling, and two people searching the same phrase at the same time now regularly see different rankings. The volatility didn't disappear after the update ended. It stayed elevated. We get into what this means for SEO, rank tracking, local search, AI Overviews, Google's new AI local results, content pruning, scaled AI content, reviews, and measuring whether SEO is actually making money. Topics we cover: - The 8.1 million-search study that found Google rankings became 48.7% more volatile - Why 97% of the tracking reports studied started shuffling - Why saying "we rank #1" or "we rank #3" is becoming increasingly inaccurate - How two people searching the exact same keyword can see completely different results - Why city + service keywords such as "Denver plumber" were among the searches hit hardest - Why checking a keyword once is no longer enough to measure rankings - How many searches Joy wants before she trusts rank-tracking data - Why top-three visibility across many searches matters more than one recorded position - Why SEOs need to connect rankings to traffic, calls, leads, and revenue - Why Joy trusts Search Console and call tracking more than a single rank-tracker snapshot - How Google's go-to redirects are making life harder for rank trackers and scrapers - Why rank trackers could start contaminating Search Console click data - The theory that increased ranking variation could make CTR manipulation easier for Google to detect - Why Google's traditional local pack, organic results, and AI local results need to be treated as different algorithms - SEO tactics that work in the traditional local pack but lose strength in AI local results - Why keyword-stuffed business names and extended business hours matter less in AI local packs - The three review signals Joy sees affecting traditional local rankings: rating, review count, and review frequency - Why the actual language inside customer reviews matters more for AI searches - How Google uses reviews to answer subjective local searches such as finding a cafe with fast Wi-Fi - Why your Google Business Profile description does not move rankings - How changing copy on your website changes what Google says about your business inside AI results - The risks of self-promotional "best X" listicles - Why a strong differentiator on your landing page matters more now - Joy's experiment deleting roughly 1,000 pages receiving zero clicks - Her experiment comparing Claude-generated content from expert interviews against content written by a human from the same source material - What happened after pruning more than half the content from sites hit with domain-wide ranking losses - Why scaled AI content on a real business website has become far riskier - How businesses can see enormous traffic growth from scaled content before the entire site crashes - Why AI content itself isn't the problem and where Joy sees legitimate uses for AI-generated content The biggest change is not that SEO stopped working. Sites still dominate search results. The problem is that a single ranking position no longer tells you enough. You need enough searches to measure how often you appear near the top, then connect that visibility to traffic, leads, calls, and ultimately revenue. Joy Hawkins is one of the most experienced local SEO testers in the industry, and this episode gets deep into what she is seeing across millions of searches and active client campaigns. ⭐️ Joy's write-up on this - https://www.sterlingsky.ca/the-dynamic-serp-update-may-2026-core-update-changed-seo/  ⭐️ Joy Hawkin's Agency - Sterling Sky: https://www.sterlingsky.ca/  ⭐️ Joy Hawkin's YouTube - https://www.youtube.com/c/SterlingSkyInc  ⭐️ Joy Hawkin's LinkedIn - https://www.linkedin.com/in/joyhawkins/  ⭐️ Local Search Forum - https://localsearchforum.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 Joy Returns and Setup 00:18 May Update Weirdness 02:42 Eight Million Study Results 05:55 Static Rankings Are Dead 08:38 Measure Leads Not Spots 10:21 How to Trust Rank Data 11:19 Client Reporting and Revenue 14:57 Why Google Changed SERPs 16:17 Go To Redirect Fallout 20:49 AI Packs and Shortcut Tactics 25:01 Not Personalization and Next Steps 33:00 Business First SEO 33:17 Lead Source Tracking 34:58 Local Rankings Reviews 36:22 AI Local Packs 37:42 Review Keywords AI 41:17 Listicles And Risks 46:27 USP For AI Overviews 47:31 Experiments And Tools 51:13 Pruning And Penalties 54:35 Scaled Content Scams 58:58 Accident Page Case Study 01:02:51 Safer Testing Domains 01:03:20 Traffic Spike And Crash 01:03:49 Screen Share SEO Graphs 01:05:06 Scaled Content Publishing 01:05:55 Is Number One Dead 01:06:20 What Still Works Now 01:09:50 Keywords And Local Links 01:12:54 Risky Tactics And Scale 01:22:09 AI Content Nuance 01:23:40 AI Slop Backlash 01:25:53 Hype Versus Proven SEO 01:28:57 Closing Thoughts And Farewell The Edward Show. Your daily search engine optimization podcast: https://edwardsturm.com/the-edward-show/   #searchengineoptimization #seo #localseo #digitalmarketing

E1164: It cost just $72 in press releases to get Google's AI Overview to call James Dooley the "King of AEO." I break down how two cheap press releases created enough relevance and third-party confirmation for Google to repeat the claim directly inside an AI Overview. The first press release cost $66 through an EIN Newswire package. The second cost $6 through AB Newswire. Both placed "King of AEO" in the locations that matter most for relevance: the headline, page title, URL slug, and opening sentence. Google then cited those releases when answering the query "Who is the king of AEO?" I break down: - How $72 in press releases influenced a Google AI Overview - The exact press releases Google cited - How the phrase "King of AEO" appeared in the title, H1, URL slug, and first sentence - How direct, unambiguous language matters when building entity associations - How one $66 EIN Newswire press release became the first citation in the AI Overview - How a $6 AB Newswire press release syndicated to USA Today became another supporting source - Why repeating the same entity association across multiple sources creates consensus - Why Google's AI Overview confidently repeated a claim about a crowning ceremony that never actually happened - How the press release image also started appearing in Google Images for "King of AEO" - What happened after I posted videos about the experiment across Instagram, TikTok, LinkedIn, and YouTube Shorts - How other SEOs then started publishing their own "King of AEO" press releases - Why the SERP turned into an SEO battleground - Why James Dooley still remained the dominant entity associated with "King of AEO" - How relevance and consensus work together when multiple people compete for the same entity association - Why press releases still matter for both traditional Google Search and AI-generated answers - What this experiment shows about influencing the information Google uses to construct AI Overview responses Before the competition started, James had a major advantage: most of the highly relevant pages around "King of AEO" pointed to him. Once more people entered the SERP with their own press releases, social posts, videos, images, and websites, Google started acknowledging the competing claims while still naming James as the person most widely associated with the title. This is a clear look at how the sausage gets made inside modern search. If you understand how relevance, entity associations, third-party mentions, syndication, and consensus work together, a bizarre AI Overview like this becomes much easier to explain. 💎 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 Do Press Releases Still Work 00:59 EIN Newswire Case Study 01:30 Keyword Placement Breakdown 02:55 AB Newswire For Six Bucks 04:13 The Fake Crowning Event 04:44 Google Images Impact 05:05 Blowing Up The SERP 05:38 New Challengers Appear 07:51 Why This Works 10:48 Wrap Up And Goodbye The Edward Show. Your daily search engine optimization podcast: https://edwardsturm.com/the-edward-show/   #searchengineoptimization #seo #generativeengineoptimization #answerengineoptimization

E1163: Does Google care whether people actually click the links on your page? I break down a $50,000 internal linking experiment across 15 websites, plus a Google patent that describes assigning different weights to links based on the probability that users will click them. The findings challenge a lot of standard SEO thinking around internal links, PageRank dilution, link placement, and how authority flows through a site. In this episode: - A $50,000 internal linking experiment conducted across 15 websites - How increasing internal links produced higher rankings and higher ad RPMs - What happened when pages went from 3 - 4 internal links to 20+ - Why the tester found no ranking decline from adding more internal links - How stronger internal linking eliminated "Crawled - currently not indexed" problems across his sites - How he found five internal links pointing to a page was an important threshold for indexing - Why internal links appearing earlier than other internal links on the page produced stronger ranking results - The click-tracking data showing a clear correlation between internal link clicks and ranking improvements - How internal linking based on topical similarity performed better than restricting links by categories or tags - How opening internal links in the same tab versus a new tab made no ranking difference in his tests - Dan Petrovic's PageRank Split Experiment involving a page with 4,225 followed outbound links - How a test site jumped from position 79 to position 3 despite receiving a link from a page with thousands of outgoing links - Google's patent "Ranking Documents Based on User Behavior and/or Feature Data" - Google's patent language describing link weights based on the probability that a particular link will be selected - How Google's patent describes collecting information about which links users selected - How browsers or browser assistants are described as sources of user-behavior data - Google's patent's example of recording actual clicks from one page to multiple linked pages - How click instances are used to train a model predicting which links users are likely to select - How links on the same page do not necessarily deserve the same weight - How this connects with what we already know about Google using click data through NavBoost - Why the most important internal links on your site should be links people actually want to click The big takeaway: internal linking is not just about adding links and distributing PageRank. Placement matters. Relevance matters. User behavior matters. And the links people click carry more weight. ⭐️ Black Hat World: I've Spent Over $50K on Internal Linking Experiments - https://www.blackhatworld.com/seo/ama-guide-ive-spent-over-50k-on-internal-linking-experiments-and-tests-this-year-here-is-everything-you-wanted-to-know-about-it.1628963/#post-18067348  ⭐️ PageRank Split Experiment - https://dejanmarketing.com/pagerank-split-experiment/  ⭐️ Google Patent: Ranking Documents Based on User Behavior and/or Feature Data - https://patents.google.com/patent/US9305099  💎 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 $50K Link Click Question 00:31 BlackHat World Tests 01:49 More Links More RPM 02:41 PageRank Dilution Myth 03:38 Indexing And Link Placement 04:17 Clicks And Similarity Rules 06:10 Google Patent On Clicks 07:21 Model Weights By Probability 08:57 What This Means For SEO 10:16 Wrap Up The Edward Show. Your daily search engine optimization podcast: https://edwardsturm.com/the-edward-show/  #searchengineoptimization #seo #technicalseo #webdevelopment

E1162: In 2016, Google gave an internal presentation called Q4 Search All Hands. Years later, slides from that presentation surfaced during discovery in Google's antitrust trial, and one of them contains an unusually direct admission: "We do not understand documents. We fake it." Google explained that its ability to understand documents directly was minimal. Instead, it watched how people reacted to search results and learned from those responses. I break down what Google said, why this presentation still matters for SEO, and what you can actually do with this information. We cover: - The 2016 Google presentation that surfaced during the antitrust trial - Google's statement that it did not actually "understand" documents - Why Google said it watched how users reacted to documents instead - How positive and negative user reactions contribute to Google Search - Google's description of sustaining the "illusion" that it understands - Why user signals are so important for SEO - Why I rank user signals above relevance and authority - How a highly relevant page can outrank a much more authoritative website - The story of how I outranked The New York Times within five minutes with a one-year-old site - Why satisfying search intent matters more than trying to guess what Google wants - How adding a TLDR to a page improves the user experience and improves conversions - A case where adding TLDR sections increased conversions by 33% - Why giving searchers the answer above the fold reduces confusion - How to structure page titles around the exact keyword someone searched - Why repeating the searcher's language makes your result immediately feel relevant - How adding the searcher's primary goal or benefit to a title increases clicks - The three questions you should answer before creating SEO content - Why blindly asking AI to write SEO content misses what the searcher wants - How to use AI as an assistant without outsourcing the important thinking - Why matching the type of page to the search intent matters - When to use an SEO landing page versus a blog post - Why giving someone informational content when they are trying to buy something creates a bad search experience The biggest takeaway is simple: Stop obsessing over what you think Google wants. Think about the person who searched the keyword. Who are they? What do they want? What are they trying to achieve? Then create the page that gives them exactly that. ⭐️ Google 2016 Q4 Search All Hands - https://www.justice.gov/d9/2023-11/417516.pdf  ⭐️ David Quaid post on 𝕏 - https://x.com/DavidGQuaid/status/2095861936927691185  ⭐️ My explanation on 𝕏 - https://x.com/edwardeachday/status/2095115036691767658  ⭐️ Reddit: How Adding a TLDR Boosted My Conversions by 33% - https://www.reddit.com/r/SEO/comments/1h3qstq/how_adding_tldr_boosted_my_conversions_by_33/  💎 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 Trial Slide Leak 01:02 We Do Not Understand Documents 01:44 SEO Implication User Reactions 02:51 When Fake Understanding Fails 03:39 User Signals Still Rule 04:07 Poll Backlinks vs Behavior 05:27 TLDR Above the Fold 06:54 Page Title Benefit Formula 07:50 Three Questions for Intent 08:55 Match Content to Intent 10:37 Wrap Up Key Takeaway The Edward Show. Your daily search engine optimization podcast: https://edwardsturm.com/the-edward-show/   #searchengineoptimization #seo #growthhacking #digitalmarketing

E1161: I break down why I still consider LinkedIn a blue ocean for organic reach, Google rankings, AI visibility, and content distribution. A listener named Marc recently started posting again after years of inactivity. Within one week, one of his posts reached 45,000+ views. That came from an account that had been dead for years. And the opportunity goes far beyond LinkedIn's feed. LinkedIn pages rank extremely well in Google. LinkedIn ranks for almost 120 million keywords and gets close to 500 million clicks per month from Google. When you put your target keyword at the beginning of a LinkedIn post, LinkedIn places that keyword in several key SEO locations: - The URL slug - The page title - The meta description If your account posts consistently and gets engagement, LinkedIn posts also get indexed quickly. I break down an example from former Google employee Pedro Dias where a LinkedIn post was cited by Google's AI Overview shortly after it was published. I also explain a test where we: - Chose a competitive keyword - Put it at the beginning of a LinkedIn post - Got the post indexed with Indexceptional - Watched it rank #1 for the target keyword within roughly 30 minutes LinkedIn doesn't just have value for traditional Google SEO either. LinkedIn has millions of pages being cited across LLMs including: - ChatGPT - Google AI Overviews - Google AI Mode That makes LinkedIn useful for both search rankings and influencing what large language models find and cite. I also cover how I use LinkedIn as part of a much larger content distribution system. The same post can be repurposed across: - LinkedIn - X - Threads - Facebook - Instagram Reels - TikTok - YouTube Shorts - Facebook Reels You can take one idea, publish it as text, turn it into video, and distribute it across multiple high-authority platforms. I explain one of my favorite ways to find short-form video ideas: look for written posts that dramatically outperform the size of the account that published them. If an account has 30,000 followers and a post gets 100,000 views, that is evidence people care about the subject. You take that post, record yourself reading it in short-form video, and distribute that video everywhere. In this episode: - Why LinkedIn is still a blue ocean - How a dead account got 45,000+ views in one week - Why daily posting compounds - How LinkedIn parasite SEO works - Where to place keywords inside LinkedIn posts - How LinkedIn posts rank in Google - How LinkedIn content gets cited by AI systems - A LinkedIn post that influenced an AI Overview - How I got a LinkedIn post ranking #1 quickly - Why I don't recommend constantly using indexers - How to repurpose one LinkedIn post across multiple platforms - How to turn viral written posts into short-form videos - Why the same content can occupy multiple positions across search and social I personally get around 100,000 to 200,000 LinkedIn impressions per week while uploading the same short-form content I already publish elsewhere. If you're creating content anyway, LinkedIn gives you another distribution channel, another SEO asset, and another place where your content is discovered by search engines and AI systems. 💎 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 LinkedIn Blue Ocean 00:21 Proof It Still Works 01:02 LinkedIn SEO Power 01:58 Indexing And LLM Influence 03:47 Video And Repurposing 04:51 Viral Post To Video 06:08 Daily Posting Playbook 07:30 Episode Wrap Up The Edward Show. Your daily search engine optimization podcast: https://edwardsturm.com/the-edward-show/ #searchengineoptimization #seo #digitalmarketing #growthhacking

E1160: You do not need to pay for backlinks to build authority in 2026. I break down a viral SEO Reddit thread about how people are getting legitimate, high-quality backlinks without buying links, spamming irrelevant directories, or wasting time on tactics Google is increasingly good at ignoring. The best part: several of the people in the thread shared specific examples, including the exact assets they created, where the links came from, and the results. We cover: - How one SEO used original research about hospitals to earn coverage from a major newspaper and multiple industry publications - How to turn public data from sources like the Census into linkable studies without collecting your own data - A home insulation campaign that used pest and population data to create a state-by-state infestation ranking and earned roughly a dozen free links - How one person scraped thousands of businesses in different industries, published the findings, and created statistics journalists and AI systems could cite - Why your research does not need to be complicated to become a useful link asset - Why transparent methodology makes data studies more credible - The difference between random directory links and legitimate foundational backlinks - Why relevant business directories can still make sense - How AI makes it much easier to build interactive linkable assets - How to get backlinks from partners, vendors, customers, awards, badges, and existing business relationships - How goodwill link building can earn links from organizations and local news publications - Why digital PR does not necessarily require paying an agency - How expert quote platforms can get you cited by journalists - Why you should not automatically assume you need more backlinks just because competitors have higher authority - Why relevance and user signals matters more than simply accumulating links - An SEO who ranks in positions 1-5 for 200+ keywords despite never buying backlinks - Why low-quality paid links can create problems beyond traditional Google rankings, including how AI systems evaluate suspicious or spammy mentions Start with legitimate foundational links. Then create things that real people, publications, businesses, and journalists genuinely have a reason to reference. That could be: - Original research - Public-data studies - Industry statistics - Free tools - Calculators - Quizzes - Awards - Expert quotes - Community projects - Partnerships - Goodwill campaigns - Digital PR You do not need thousands of backlinks. You need relevant pages targeting the right searches, strong user signals, and enough legitimate authority to compete for the keywords you actually want. ⭐️ The Reddit thread - https://www.reddit.com/r/SEO/comments/1vgxe6u/how_are_you_guys_building_backlinks_after_google/  ⭐️ Ep 1037 - How One Simple Website Got 384,000 Backlinks (Linkable Assets Explained) - https://youtu.be/-1Q5HHatvoc  ⭐️ Ep 1155 - He Donated a Free Roof and Got Links You Can't Buy - https://youtu.be/0aZi6sdOD-M  💎 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 Viral Backlink Dilemma 01:09 Thread Highlights Setup 01:32 Research Gets Links 02:36 Foundational Links First 03:32 Scraped Stats as Assets 05:02 Directories and Linkable Tools 06:31 Start Close to Home 07:47 Stop Overbuying Backlinks 09:52 Authority vs User Signals 11:12 Digital PR and Link Risks 14:01 Final Thanks and Goodbye The Edward Show. Your daily search engine optimization podcast: https://edwardsturm.com/the-edward-show/   #linkbuilding #backlinks #searchengineoptimization #seo

E1159: Google's August 2026 Spam Update hit some sites extremely hard. I break down four case studies from Glenn Gabe showing exactly what Google's August spam update targeted, including scaled AI content, programmatic SEO with little added value, thin affiliate pages, poor user experience, and sites operating in risky niches. One of the sites lost rankings for more than 200,000 queries. Another had more than 1.5 million URLs indexed, many of which were lost. These weren't simply examples of "AI content is bad" or "programmatic SEO is bad." The common thread was scale combined with very little unique value for the searcher. In this episode: - A YMYL site that lost rankings for more than 200,000 queries after scaling programmatic pages across countries - Why the combination of programmatic content and AI-generated copy can become especially risky in YMYL niches - A massive Amazon affiliate site built largely from Amazon product data - Why simply recreating merchant information and adding affiliate links can fall under Google's Thin Affiliation policies - What Google says good affiliate sites need to add beyond information already available from the merchant - A site with more than 1.5 million indexed URLs that was hit across multiple sections - Why adding some legitimate-looking UGC doesn't necessarily save a site where most pages still provide very little additional value - How a spam update can affect an entire domain rather than only the specific pages using questionable tactics - A fourth site with more than 250,000 URLs in a risky niche that redirected users to even riskier external sites - How that site lost rankings for roughly 25,000 queries - Why the August update appears to have gone after several different forms of scaled content abuse rather than one specific tactic - Why programmatic SEO itself is not the problem - The difference between useful programmatic pages and creating hundreds of thousands of pages that mostly repeat information available elsewhere - What recovery from a spam update can look like - Lily Ray's example of a site hit by the December 2025 spam update that began recovering about five months after making major fixes - Why spam update recovery can happen outside a core update - Why removing the spam and changing what you publish going forward matters more than waiting for another Google update The important distinction is value. You can build programmatic pages. You can use AI. You can build affiliate pages. But if you're scaling hundreds of thousands or millions of URLs without giving searchers something meaningfully better, different, or more useful, you're putting the site in a very different risk category. Glenn Gabe's case studies make that extremely clear. ⭐️ Glenn Gabe's article - Google's August 2026 Spam Update - Scaled Content Abuse, AI Content, Programmatic Content, Thin Affiliates, And More [Case Studies] - https://www.gsqi.com/marketing-blog/august-2026-google-spam-update-case-studies/  ⭐️ Ep 1141 - Can You Launch 100,000 Pages and Survive Google? - https://youtu.be/wNtiygMsRfg  ⭐️ Lily Ray recovery post - https://x.com/lilyraynyc/status/2069739309075161234  💎 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 August Spam Update Recap 00:26 How Spam Updates Work 01:00 Case 1 YMYL AI Scaling 02:04 Case 2 Thin Affiliate Pages 03:50 Case 3 Scaled Content Abuse 04:59 Case 4 Risky Redirect Scheme 05:59 Recovery Takes Months 07:05 Wrap Up 08:21 Podcast Sign Off The Edward Show. Your daily search engine optimization podcast: https://edwardsturm.com/the-edward-show/   #searchengineoptimization #seo #digitalmarketing #growthhacking

E1158: Google published an article called "Good SEO Is Good GEO," arguing that the best strategy for showing up in Google's AI search experiences is still foundational SEO. I agree with a lot of it. But some of Google's advice leaves out important parts of how SEO and GEO work today. I go through Google's article point by point and react to it in real time. Google says AI Mode and AI Overviews are built on top of the same core ranking and quality systems used by traditional Search. It also says these AI experiences retrieve information from Google's existing search index. That means traditional SEO fundamentals still matter enormously for GEO, AEO, AI SEO, or whatever you want to call it. But that does not mean every piece of Google's advice should be taken at face value. In this episode: - Why Google says "good SEO is good GEO" - Why foundational SEO remains the starting point for getting visibility in AI Mode and AI Overviews - How Google's query fan-out works and why one AI prompt can trigger multiple searches - Why search intent still matters as much as ever - Why your page title, H1, URL slug, and keyword targeting still matter - Where I disagree with Google's advice to simply "optimize for people" - Why you cannot publish website content without understanding what people are actually searching for and expect Google to figure everything out - Why unique, first-hand, non-commodity content is valuable, but still needs distribution or keyword targeting if you want people to find it - Google's claim that marketers should stop chasing inauthentic mentions - Why that claim does not match what I see happening in actual search results and LLM recommendations - How brands are getting inserted into articles already receiving citations from large language models - Why inauthentic mentions can work even though I would not recommend building a strategy around them - Why Google is right about LLMs.txt - Why I still see no compelling evidence that LLMs.txt meaningfully improves your visibility in Google or AI search - Why user experience, trustworthy design, useful images, videos, reviews, and strong copy affect both SEO and GEO - Why Merchant Center and Google Business Profile remain important for ecommerce and local businesses appearing in generative search experiences - The problem with Google telling marketers to focus on business metrics while Search Console still gives limited visibility into AI search performance - Why leads, sales, signups, and revenue ultimately matter more than new GEO metrics invented by third-party tools The biggest takeaway is simple: You do not need to throw away SEO and start over because AI search exists. The same fundamentals that make a page useful, discoverable, relevant, trustworthy, and capable of ranking in traditional Google Search also give it a strong foundation for Google's generative search experiences. But "good SEO" still means understanding keywords, understanding intent, creating content people actually want, and making sure that content can be discovered. ⭐️ Good SEO is good GEO - https://www.thinkwithgoogle.com/next/v2/article/search-and-video/ai-search-era-brand-authority-strategy/  ⭐️ Pareto SEO: The 20% of SEO That Matters - https://edwardsturm.com/articles/pareto-seo/  ⭐️ Ep 1081 - Google Merchant Center Mistakes Killing Your Ecommerce Revenue - https://www.youtube.com/watch?v=ilyAv_Li1qA  💎 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 SEO Meets GEO 01:11 Foundational SEO Still Wins 02:07 What Helpful Really Means 02:59 Ignore New SEO Labels 03:31 Query Fan Out Explained 04:21 Pareto SEO Basics 04:33 Optimize For People Not Bots 05:06 Keyword Targeting Reality Check 05:57 Inauthentic Mentions Debate 07:54 LLMs txt Not Needed 08:28 Unique Perspective Content 09:45 Non Commodity Content Needs Keywords 10:28 Website UX Still Matters 11:42 Noisy Metrics And GSC 12:59 Merchant Center Reporting 13:38 Key Takeaways And Critiques 14:22 Wrap Up 15:12 Daily Podcast Streak Outro The Edward Show. Your daily search engine optimization podcast: https://edwardsturm.com/the-edward-show/ #generativeengineoptimization #answerengineoptimization #searchengineoptimization #seo

E1157: Google is expanding some AI Overviews automatically, removing the need to click "Show More" and pushing traditional organic results much farther down the page. Predictably, a lot of SEOs are freaking out. I break down what Google actually changed and why I don't think businesses and publishers should panic about SEO. Google confirmed that AI Overviews can now dynamically expand when its systems believe a fuller AI answer would be useful. On those searches, users can get a much larger AI response plus the "Ask Anything" box before they ever reach the traditional blue links. I cover: - What Google changed with expanded AI Overviews - Why organic results can now appear much farther down the SERP - How Google is not simply sending every search directly into AI Mode - Why informational publishers have more reason to be concerned - Why SEO for products and services is a very different situation - The types of searches that still require people to visit a website - Why scenario-based keyword targeting continues to work - How to target people who know what they want but don't know which brand provides it - Why bottom-of-funnel SEO becomes even more important as informational searches get absorbed by AI - Why alternative pages and comparison pages influence buying decisions - Why detailed product and service documentation gives AI more information about when your business is relevant - Why AI systems can't recommend your company properly if you never explicitly explain what situations your product is for - Why useful backlinks and real brand mentions matter more than collecting links nobody sees - Why online reputation management matters for both AI recommendations and human searchers - Why building a real brand makes SEO, backlinks, AI visibility, and higher-volume rankings easier over time - Why I'm still not convinced blogging is dead - How Google Preferred Sources gives publishers another way to build repeat visibility inside Google - Why the right SEO strategy survives whether search is traditional, AI-enhanced, or eventually dominated by large language models ⭐️ Google AI Overviews Pushing Searchers Into AI Mode, Drops Show More Button - https://www.seroundtable.com/google-ai-overviews-push-ai-mode-responses-41974.html  ⭐️ Ep 1049 - The Fastest Way to Get SEO Results: Slow Is Smooth, Smooth Is Fast - https://www.youtube.com/watch?v=dgGTmVZ1938  ⭐️ Ep 1074 - Blogging Isn't Dead: How Niche Blogs Still Make Money With SEO - https://www.youtube.com/watch?v=CRaNVjcnbw0  ⭐️ Ep 1156 - Google Just Gave SEOs a New Ranking Signal (Do This Now) - Preferred Sources - https://www.youtube.com/watch?v=Tv7n03rkgaM  ⭐️ The conversation on Reddit - https://www.reddit.com/r/SEO/comments/1w1ur5u/google_making_ai_overviews_into_ai_mode_responses/  💎 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 AI Overviews Update 00:41 What Changed Exactly 02:31 Why SEO Still Crushes 03:01 Scenario Keywords That Convert 04:19 Pages That Influence AI 05:44 Holistic SEO And Branding 06:42 Blogging Is Not Dead 08:03 Preferred Sources Strategy 09:04 Stay Calm And Keep Going 09:38 Final Thoughts And Outro The Edward Show. Your daily search engine optimization podcast: https://edwardsturm.com/the-edward-show/   #searchengineoptimization #seo #searchmarketing #digitalmarketing