The Edward Show

E1169: How are SEOs doing keyword research in 2026? I break down a viral thread from the SEO subreddit where SEOs shared their real processes, tools, shortcuts, and ways of deciding which keywords deserve attention. Some of the advice is strong. Some of it misses the point. The biggest mistake is treating keyword research like a spreadsheet exercise instead of looking at search intent, business value, and what is really ranking in Google. In this episode: - Why I ignore keyword difficulty scores from SEO tools - Why looking at the actual Google SERP gives you better information than staring at a difficulty metric - How to spot keywords competitors rank for but have not targeted properly - Why a supposedly "high-difficulty" keyword sometimes ranks with very little work - How to tell whether competitors have optimized a page for a keyword - Why page titles, URL slugs, H1s, and the beginning of the first sentence matter when evaluating competition - How to use competitor keyword research to build your initial keyword list - Why search intent matters more than raw search volume - How to identify high-intent searches that lead to customers, users, calls, and warm leads - The type of keyword I value most: the searcher knows what they want but has not decided which brand will provide it - How to use AI to group large keyword lists by topic and intent - Why you should not ask an LLM to estimate keyword difficulty without giving it live search data - How Google Search Console reveals keywords your site already has a chance of ranking higher for - Why keywords sitting around positions 5-20 often deserve attention before completely new topics - How to map keyword groups to individual pages - When an existing page deserves optimization versus when you need to create a new page - Why different searches require different page types, including product pages, service pages, landing pages, and blog posts - How Google Keyword Planner, Google Trends, ChatGPT, Semrush, and AlsoAsked fit into keyword research - Why informational "how to" and "what is" keywords often have far less business value than bottom-of-funnel searches - The four questions I start with when researching keywords: 1- Who are my competitors? 2- What are they ranking for but not targeting properly? 3- Which of those keywords will make me money? 4- Which SERPs are under-targeted? I also explain why I prioritize keywords that directly connect SEO traffic to revenue instead of publishing huge amounts of top-of-funnel content just because a keyword tool shows search volume. ⭐️ Reddit: How Do You Choose Keywords for SEO? - https://www.reddit.com/r/SEO/comments/1wbmgx0/how_do_you_choose_keywords_for_seo/  ⭐️ Ep 1104 - The 1-Hour SEO Update That Makes Your Best Pages Rank for More Keywords - https://youtu.be/GmsAuotHGso  💎 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 Keyword Question 02:04 Keyword Filtering 04:07 Intent and SERP Checks 05:19 Competitors and Priorities 08:27 Search Console Quick Wins 09:21 Free Tools and AlsoAsked 10:42 Keyword Grouping and Mapping 11:42 Wrap Up The Edward Show. Your daily search engine optimization podcast: https://edwardsturm.com/the-edward-show/   #keywordresearch #searchengineoptimization #seo #digitalmarketing

E1167: Claude-generated websites have a serious SEO problem: they use a lot of unnecessary words. Search intent is not only about covering the right topic. It is also about presenting the answer in a way that is fast and easy to consume. I break down three real AI-heavy websites and show how unnecessary copy, repeated headings, pointless "eyebrows," bloated introductions, and buried answers create a worse experience for searchers. I cover: - Why satisfying search intent includes how information is presented, not just whether the information exists - Why Claude-generated sites often add unnecessary words throughout the page - Three real examples of wordy AI pages - A Toronto SEO agency page that buries its H1 under repeated copy and targets the wrong search intent - Why the first few sentences of a landing page need to immediately explain why the business is the right choice - How multiple competing calls to action weaken the page - A Sprout Social alternatives page that makes readers dig through long explanations before reaching the comparison table - Why someone searching for an alternative already knows why they want an alternative - Why "how we evaluated these tools" sections are often unnecessary - Why a strong single-product alternative page beats another generic list of 10 tools - A "King of AEO" page that repeats its title, author, company name, and other information before getting to the actual point - Why AI pages frequently repeat information without adding anything useful - How excessive copy leads searchers to return to Google and choose another result - Why bad user behavior becomes far more dangerous when hundreds or thousands of AI pages are published quickly - How scaled AI content creates bad behavioral signals faster than a normal site - Why real photos and useful video make pages easier to consume - Why service businesses should use real images instead of generic AI-generated visuals - Why bottom-of-funnel keywords deserve most of your content effort - Why buyers do not need a 2,000-word essay explaining why they need the thing they are already searching to buy - Why 400 to 500 words is often enough for a strong SEO landing page - How some pages need fewer than 200 words - The questions I answer before writing: Who is searching this keyword? What do they want? What are they trying to achieve? - Why I write the outline first and use AI as a writing assistant instead of letting AI decide what the page needs - Why spending more time on one strong bottom-of-funnel page produces better long-term results than mass-producing disposable AI content - How a well-built page keeps ranking and generating revenue for years without constant rewrites The goal is not to hit a word count. The goal is to give the searcher exactly what they came for with as little friction as possible. ⭐️ Ep 1164 - How $72 in Press Releases Made Google Call This Man the King of AEO - https://youtu.be/DhmQ7cZhHFw  ⭐️ Ep 1166 - Google Can Lose Faith In Your Website (Here's How To Get It Back) - https://youtu.be/Q4cB34UticI  💎 Compact Keywords - My SEO Course - Get paying customers through SEO - Clear step-by-step video breakdowns - SEO templates to be copied and adapted for your products and services: https://compactkeywords.com/  00:00 Why Wordy Pages Fail 01:08 Claude Site Example One 02:14 Above the Fold Fluff 05:31 Claude Site Example Two 07:48 Cut the Ultimate Guide 08:36 Claude Site Example Three 12:36 Pogo Sticking Consequences 13:36 What to Do Instead 14:18 Short Pages That Convert 17:22 Wrap Up The Edward Show. Your daily search engine optimization podcast: https://edwardsturm.com/the-edward-show/   #searchengineoptimization #seo #claudeseo

E1168: SaaS link building gets expensive fast. In this episode, Kristiyan Yankov breaks down why a single placement in the right listicle can be worth $1,000+, how he decides which backlinks are worth paying for, and the link-building methods his team uses across more than 60 SaaS companies. We go deep into the actual process behind SaaS link building, from finding competitor backlink gaps to pitching publishers, negotiating paid placements, building relationships on LinkedIn, getting links from major publications, and using third-party mentions to increase visibility in both Google and AI search. We also get into what separates a valuable backlink from one that Google may effectively ignore. What we cover: - Why some SaaS companies will pay $1,000+ for a single listicle placement - What separates a $300 backlink opportunity from a $1,000+ opportunity - How to identify the listicles and roundups dominating your industry - How Kristiyan reverse-engineers competitors' backlink profiles in Ahrefs - Why multiple competitors appearing on the same site signals a strong outreach opportunity - Why existing articles are often better targets than creating brand-new guest posts - How to check whether a listicle actually ranks, gets traffic, or feeds AI search results - Why LinkedIn often beats cold email for link-building outreach - What an actual paid-placement outreach message looks like - When to mention payment in the first message and when not to - Why you should not name your price first when negotiating a backlink - Why smaller, highly targeted outreach lists outperform mass outreach - How incentives such as free product access, payment, content creation, and link swaps improve response rates - How to maintain consistent brand positioning across dozens of third-party listicles - Why inconsistent descriptions of your company across the web create problems for AI search - How to split backlinks between your homepage, commercial pages, comparison pages, and informational content - How expert quote outreach gets links and mentions from sites such as BBC, HubSpot, Zapier, and Wix - Why expert quote platforms remain one of the strongest low-budget link-building methods - Foundational backlinks every new SaaS company should build - Why directories such as Crunchbase, BetaList, and Product Hunt still matter - How a Product Hunt launch caused a major organic traffic spike for one of my projects - How to use link swaps without making the links look artificial - Why adjacent industries are strong targets for link exchanges - How link-building outreach itself can generate customers and partnerships - How podcasts, industry meetups, and personal relationships create backlinks competitors struggle to copy - Why thanking tools you use publicly can turn into case studies and backlinks - How to build your own Rolodex of marketers and site owners for recurring link opportunities - The biggest mistake people make when judging backlinks by DR and traffic alone - Why a smaller, highly relevant site can be more valuable than a much larger generic site - When guest posting is worth the effort and when it is a waste of time - How third-party brand mentions influence ChatGPT, Gemini, Perplexity, and other AI search systems - Why getting included in the sources AI systems already retrieve is one of the fastest off-page opportunities - Which link-building strategies compound over time instead of producing one-off results Kristiyan and I also share some of the stranger link-building tactics we've used ourselves, including podcasts built partly around relationship building, industry networking, creative link exchanges, expert contributions, and other methods that go far beyond sending thousands of generic outreach emails. ⭐️ Kristiyan Yankov's agency, Above Apex - https://aboveapex.com/  ⭐️ Kristiyan Yankov on LinkedIn - https://www.linkedin.com/in/kristyan-yankov/  💎 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 SaaS Link Building Intro 00:12 Kristiyan SEO Journey 01:50 Top Link Building Plays 03:43 Link Gap Analysis Steps 07:01 Proving Competitor Links Work 09:12 Outreach and LinkedIn First 10:12 Incentives for Listicles 13:13 Outreach Message Templates 14:43 When to Lead With Money 17:01 Finding Dominant Listicles 17:58 Existing Posts and Indexing 22:23 Small Batch Outreach Strategy 28:18 Follow Ups and Timing 30:13 Listicle Pricing and Value 34:11 Positioning and Keywords 37:24 Deep Links Beyond Homepage 39:09 Expert Quote Outreach Setup 40:02 Best Quote Platforms 41:31 Low Budget Link Tactics 43:10 Directory Links That Work 45:37 Clicks From Backlinks 46:40 Adjacent Industry Link Swaps 51:42 Relationship Driven Links 56:50 Common Link Building Mistakes 01:00:28 Guest Posts Done Right 01:05:37 Brand Mentions For AI Search 01:10:52 Linkable Assets And Virality 01:15:05 Natural Backlink Profiles 01:17:41 Where To Find Christian 01:17:56 Bulgaria Rose Valley Chat 01:21:34 Podcast Wrap Up The Edward Show. Your daily search engine optimization podcast: https://edwardsturm.com/the-edward-show/   #searchengineoptimization #linkbuilding #saasmarketing #seo

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