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

In episode 107 of The SEO Podcast, Lucas and Luna explore Google's shift from keyword matching to semantic understanding using sentence embeddings. They break down how Google's 2026 algorithm maps entire sentences into a 768-dimensional vector space, grouping semantically similar content even without exact keyword matches. The hosts examine a real case: a small cookware site that ranked for 'how t...

Lucas and Luna dive into Google's use of n-gram language models for search ranking in 2026. They explain how Google breaks queries into overlapping word sequences to match content more precisely, using examples like 'New York pizza' vs 'new pizza recipes'. The episode covers the shift from exact-match keywords to probabilistic matching, how n-grams help with misspellings and long-tail queries, and...

In this episode, Lucas and Luna break down Google's E-E-A-T framework — Experience, Expertise, Authoritativeness, and Trustworthiness — and why it matters more than ever for SEO in 2026. They focus on the 'Experience' component, added in late 2022, and how Google now evaluates first-hand knowledge. Using the example of a personal finance blogger versus a certified financial planner, they explain h...

In this episode of The SEO Podcast, Lucas and Luna explore how Google rewrites user queries behind the scenes to deliver better search results. They break down Google's query reformulation techniques — including spelling correction, synonym substitution, and query segmentation — and explain what SEOs should actually optimize for. Using real examples like a search for 'best running shoes for flat f...

In this episode of the SEO Podcast with Fexingo, Lucas and Luna dive into Google's query expansion techniques and what they mean for SEO in 2026. They explain how Google now automatically expands queries to include synonyms, related entities, and even user intent variations, making traditional keyword targeting less effective. The hosts break down a real-world example: a local bakery that lost tra...

In this episode of The SEO Podcast with Fexingo, Lucas and Luna dive into a specific Google ranking factor that often gets overlooked: user interaction data for local SEO. They explore how Google uses clicks, calls, and direction requests from Google Business Profiles to influence local pack rankings, citing a 2025 study showing that businesses with high 'click-to-call' rates saw a 20% boost in lo...

In this episode of The SEO Podcast, Lucas and Luna dive into Google's query intent decoding technique--how the search engine now analyzes the underlying goal behind a search, not just the words. They discuss examples like comparing 'best running shoes' vs 'Nike Pegasus review' and explain how intent classification impacts rankings. Lucas shares a case from a mid-size e-commerce site that improved...

For Episode 100 of the SEO Podcast, Lucas and Luna dive into how Google now ranks pages by their understanding of entities within passages, not just the overall topic. They explore the shift from keyword clusters to entity-based relevance scoring, using a concrete example: a recipe page for 'vegan lasagna' that outranks a traditional recipe site because its passage about 'cashew bechamel sauce' tr...

In episode 99 of The SEO Podcast, Lucas and Luna dive into Google's passage understanding algorithm—how it identifies and ranks specific sections of a page independently of the overall topic. They break down a real example from a gardening blog that outranked a major home improvement site for a niche query about 'DIY soil pH testing' because its relevant passage was better structured. Lucas explai...

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...

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 result...

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 shar...

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 implementa...

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...

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...

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...

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 shif...

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 top...

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...

Episode 88 of The SEO Podcast explores how Google's passage ranking system evaluates and ranks individual sections within long-form content, not just whole pages. Lucas and Luna discuss real-world implications for content strategy in mid-2026, including how passage indexing prioritizes specific answers buried in comprehensive guides. They break down a concrete example from the health niche, where...

In this episode of The SEO Podcast, Lucas and Luna explore how Google leverages query reformulation—when users rephrase or refine their search queries—to infer intent and adjust rankings. They discuss a 2025 study from Google researchers analyzing 50 million query reformulations, revealing that 37% of searches involve reformulation within one minute. The hosts explain how reformulation signals suc...

In this episode of The SEO Podcast, Lucas and Luna explore how Google's semantic search technology now goes beyond simple synonyms to understand the entire context of a query. They dive into a real-world case: a travel blog that lost rankings after using exact-match keywords but recovered by writing naturally about 'budget travel to Japan' versus 'cheap flights to Tokyo'. The hosts explain how Goo...

In Episode 85, Lucas and Luna explore how Google's entity co-occurrence signals help define search relevance—using a concrete example of a travel brand ranking for 'best hiking boots' without ever using the exact phrase. They break down how the Knowledge Graph connects entities like 'vibram sole,' 'gore-tex,' and 'trail running,' and why this matters for content strategy. Plus, a quick word on how...

In this episode of The SEO Podcast, Lucas and Luna explore how Google leverages topic modeling—a technique that maps the semantic relationships between concepts—to rank content. They break down the difference between keyword matching and topic coverage, discuss Latent Dirichlet Allocation (LDA) and its evolution in Google's RankBrain and BERT systems, and analyze a real-world example from a home r...

In episode 83 of The SEO Podcast, Lucas and Luna explore Google's use of query clustering to understand related search intents and rank pages more accurately. They unpack a real example from a mid-size e-commerce site that saw a 23% organic traffic lift after optimizing for query clusters rather than individual keywords. Lucas explains the technical underpinnings — how Google groups semantically s...