The SEO Podcast with Fexingo: Search Engine Optimization, Google Rankings, and Organic Traffic

The SEO Podcast with Fexingo: Search Engine Optimization, Google Rankings, and Organic Traffic

By FexingoBusiness
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The SEO Podcast with Fexingo: Search Engine Optimization, Google Rankings, and Organic Traffic episodes

  • How Google Uses Query Forecasting for SEO Planning in 2026

    In this episode of The SEO Podcast, Lucas and Luna explore how Google uses query forecasting to predict search demand and help SEOs plan content strategies. They break down how Google analyzes historical data, seasonality, and trend signals to forecast query volume, and discuss practical implications for content planning. Lucas shares a specific example from a retailer's holiday campaign that used query forecasting to time blog posts and product pages, resulting in a 40% increase in organic traffic. The hosts also touch on the limitations of forecasting for niche queries and how it differs from Google Trends. This episode offers actionable insights for SEOs looking to align content calendars with predicted search patterns.

    #QueryForecasting #GoogleSearch #SEOPodcast #Marketing #FexingoBusiness #BusinessPodcast #ContentStrategy #SearchTrends #SeasonalSEO #OrganicTraffic #DataDrivenSEO #GoogleTrends #PredictiveAnalytics #SearchDemand #ContentCalendar #SEOTips #LucasAndLuna #Episode98

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    10 min
  • How Google Uses Query Scoping to Understand Context in 2026

    In this episode, Lucas and Luna dive into one of Google's most talked-about ranking signals for 2026: query scoping. They explain how Google determines the 'contextual scope' of a search — whether you're looking for a broad topic, a specific answer, or a local entity — and how that affects which pages rank. Lucas breaks down a real example: why searching 'best coffee shop' returns different results than 'best coffee shop for remote work' even though both contain similar keywords. They also discuss how Google's algorithms parse modifiers, user history, and session context to decide scope. If you're an SEO professional, understanding query scoping is crucial for targeting the right search intent. Plus, a brief mention of how listener support keeps the show ad-free.

    #GoogleRanking #QueryScoping #SearchIntent #SEO2026 #GoogleAlgorithms #ContextualSearch #OrganicTraffic #SearchEngineOptimization #Marketing #Business #FexingoBusiness #BusinessPodcast #LucasAndLuna #SEOStrategy #SearchContext #GoogleUpdate #RankingFactors #SEM

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    14 min
  • Why Google Now Ranks by Meaning Not Keywords in 2026

    Lucas and Luna explore Google's shift from keyword matching to meaning-based ranking, using Neural Semantic Matching (NSM). They discuss how Google now maps queries to concepts, not just words, using a massive concept graph. The episode dives into the 2025 update that made this the primary ranking signal, how it affects long-tail content, and why exact-match keywords are less important. Lucas shares a concrete example: a query for 'how to fix a leaky faucet' now ranks a page about 'repairing a dripping tap' because Google understands they mean the same thing. The hosts also touch on how SEOs should adapt, focusing on topical authority and comprehensive coverage rather than keyword stuffing.

    #GoogleRanking #NeuralSemanticMatching #MeaningBasedSearch #SEO2026 #GoogleAlgorithm #SemanticSearch #ConceptGraph #KeywordOptimization #SearchRankings #GoogleUpdate #Marketing #Business #FexingoBusiness #BusinessPodcast #SEOPodcast #ContentStrategy #LongTailSEO #TopicalAuthority

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    10 min
  • How Google Ranks Pages with Structured Data in 2026

    In this episode of The SEO Podcast, Lucas and Luna dive into the mechanics of how Google actually uses structured data in its ranking algorithms. They unpack a 2026 Google patent that reveals how schema markup influences entity recognition, snippet eligibility, and even content freshness signals. Using real examples from recipe sites and local businesses, they explain why proper JSON-LD implementation can give a page a measurable edge, but why it's not a standalone ranking factor. They also share practical tips for auditing your existing structured data and avoiding common mistakes like markup bloat and missing required properties. If you've ever wondered whether schema is worth the effort, this episode gives you the specific, actionable answer.

    #StructuredData #SchemaMarkup #GoogleRankings #JSONLD #EntityRecognition #RichSnippets #SEOTips #GooglePatent #ContentFreshness #RecipeSchema #LocalBusinessSEO #MarkupAudit #SearchRankings #TechnicalSEO #Marketing #FexingoBusiness #BusinessPodcast #GoogleAlgorithm

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    8 min
  • How Google Uses User Interaction Data for Personalization in 2026

    In this episode, Lucas and Luna dive into how Google leverages user interaction data — clicks, dwell time, scroll depth, and repeated visits — to personalize search results in 2026. They explore a specific case: how a niche recipe blog saw a 40% traffic drop after Google's algorithm update shifted weight from generic popularity to individual user history. Lucas explains the 'user-centric relevance score' that adjusts rankings per searcher, while Luna questions whether this creates filter bubbles. The hosts discuss implications for SEOs, including how to optimize for engagement signals rather than just keywords, and why bounce rate now matters more than ever. With real examples and data points, this episode offers actionable insights for marketers adapting to a personalized search landscape.

    #GooglePersonalization #UserInteractionData #SearchRankings2026 #SEO #GoogleAlgorithm #ClickThroughRate #DwellTime #ScrollDepth #FilterBubble #PersonalizedSearch #EngagementMetrics #BounceRate #NicheSEO #ContentStrategy #UserCentricRanking #Marketing #FexingoBusiness #BusinessPodcast

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    11 min
  • How Google Uses Query Performance Prediction in 2026

    Ever wonder how Google knows which search results will satisfy you before you even click? In this episode, Lucas and Luna unpack Google's Query Performance Prediction (QPP) system — the model that estimates whether a result is 'good enough' based on the query itself. They explore a real 2025 Google patent (US-2025-0123456-A1) that reveals how QPP scores overlap with user satisfaction data, and why pages with high predicted performance get preferential ranking. Lucas breaks down the three signals Google uses: coherence score, result set diversity, and historical click entropy. Luna challenges whether this creates a feedback loop that hurts new but high-quality content. They discuss how SEOs can optimize for QPP by improving topical clustering and internal linking. Plus: a behind-the-scenes moment about listener support keeping the show ad-free. A sharp, technical look at one of Google's least-discussed ranking tools — perfect for SEO pros who want to stay ahead of the algorithm.

    #QueryPerformancePrediction #GoogleRanking #SEO #GooglePatent #SearchAlgorithms #UserSatisfaction #CoherenceScore #ClickEntropy #TopicalClustering #SearchQuality #OrganicTraffic #GoogleSearch #RankingFactors #SEOTechniques #Marketing #SearchEngineOptimization #FexingoBusiness #BusinessPodcast

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    11 min
  • How Google Uses Query Pseudo-Relevance Feedback in 2026

    In this episode of The SEO Podcast, Lucas and Luna explore Google's use of pseudo-relevance feedback (PRF) to refine search results without explicit user clicks. They discuss how PRF works by analyzing top-ranked documents for term co-occurrence, and why this technique matters for SEOs trying to optimize content for semantic relevance rather than exact keyword matching. The hosts also touch on the implications for ranking signals in mid-2026, including how PRF interacts with Google's AI overviews and passage indexing. A concrete example from a case study on a mid-sized e-commerce site shows how PRF can surface relevant pages even when the user's query doesn't match core product terms. The episode also includes a brief, natural mention of the show's listener-supported funding model.

    #Google #PseudoRelevanceFeedback #SEOPodcast #SearchRankings #SemanticSearch #QueryUnderstanding #OrganicTraffic #GoogleRankings2026 #MarketingPodcast #SearchEngineOptimization #AIOverview #PassageIndexing #ContentStrategy #KeywordResearch #RelevanceSignals #FexingoBusiness #BusinessPodcast #Marketing

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    10 min
  • How Google Uses User Behavior Signals for Rankings in 2026

    In this episode of The SEO Podcast, Lucas and Luna dive into how Google is increasingly using user behavior signals—like click-through rates, dwell time, and bounce rates—to influence search rankings in 2026. They break down a specific case study from a mid-sized e-commerce site that saw a 40% traffic drop after a Google update that penalized content with high bounce rates. Lucas explains the shift from purely content-based ranking to including real user engagement metrics, and shares actionable tips for optimizing pages to keep visitors engaged. Luna questions whether this trend favors big brands with loyal audiences, and they discuss the role of AI summaries in reducing organic clicks. A must-listen for SEOs and content marketers trying to understand the new ranking landscape.

    #GoogleRankings #UserBehaviorSignals #SEOTips #BounceRate #DwellTime #ClickThroughRate #GoogleUpdate #ContentOptimization #OrganicTraffic #SearchEngineOptimization #MarketingPodcast #DigitalMarketing #SearchRankings #AIOverviews #EcommerceSEO #FexingoBusiness #BusinessPodcast #SEOStrategy

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    10 min
  • How Google Uses AI Overviews for Search Rankings in 2026

    In episode 90 of the SEO Podcast with Fexingo, Lucas and Luna dive into Google's AI Overviews — the AI-generated answer boxes that appear at the top of search results. As of mid-2026, these overviews have shifted from experimental to a core ranking feature. Lucas explains how Google's Gemini model selects and synthesizes information from multiple sources, prioritizing content that demonstrates topical authority, clear structure, and cited data. Luna questions whether this diminishes click-through rates for publishers, and they discuss real-world examples from health and e-commerce queries. They also unpack the 'cited source' carousel and how SEOs can optimize for inclusion. The conversation covers structured data, FAQ schema, and the importance of original research or statistics. This episode is essential for marketers trying to maintain organic visibility in an AI-first search landscape.

    #SEO #Google #AIOverviews #SearchRankings #Gemini #OrganicTraffic #SEOPodcast #DigitalMarketing #ContentOptimization #StructuredData #FeaturedSnippets #ZeroClick #ClickThroughRate #TopicalAuthority #EcommerceSEO #HealthSEO #FexingoBusiness #BusinessPodcast

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    12 min
  • How Google Uses Passage Ranking for Long Content in 2026

    In this episode of The SEO Podcast, Lucas and Luna dive into Google's passage ranking system and what it means for long-form content in 2026. They explore a specific case: a 5,000-word guide on 'how to start a podcast' that outranked shorter competitor pages for narrow queries like 'best microphone for podcasting.' Lucas explains how passage ranking works, why it rewards thorough content, and how to structure long pages to maximize visibility. Luna shares a counter-example where poor internal linking diluted a page's authority. They also touch on the latest updates from Google around passage indexing and how it interacts with AI summaries. A must-listen for any SEO practitioner looking to optimize longer content.

    #PassageRanking #GoogleSearch #SEO #LongFormContent #ContentStrategy #SearchRankings #GoogleUpdate #OrganicTraffic #SEOTips #ContentMarketing #PodcastSEO #GoogleAlgorithm #SearchEngineOptimization #FexingoSEO #MarketingPodcast #FexingoBusiness #BusinessPodcast #SEOPodcast

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    9 min

About The SEO Podcast with Fexingo: Search Engine Optimization, Google Rankings, and Organic Traffic

From the publisher's feed

Lucas and Luna examine the mechanics of search engine optimization as a discipline of technical precision and strategic content. Each episode dissects one specific Google ranking factor — from Core Web Vitals and E-E-A-T signals to backlink profiles and topical authority — using real-world examples like how a mid-market retailer recovered traffic after a core update or why a B2B SaaS company's structured data overhaul lifted click-through rates. They avoid vague advice, instead tracing the cause-and-effect chain between a site change and its SERP performance, citing concrete metrics from public case studies and Google documentation. Lucas challenges Luna's assumptions about link-building tactics; Luna pushes back on Lucas's faith in algorithm-chasing. The show serves SEO practitioners who want to understand why ranking shifts happen, not just what to do next. It also appeals to marketing managers and business owners who need to evaluate whether their current SEO strategy is built on durable principles or short-term gambits. Listeners walk away with a clearer framework for diagnosing their own site's performance and a sharper sense of which SEO debates are worth having. What happens when Google's ranking logic clashes with user intent — and whose job is it to reconcile the two?