This episode discusses the blog article “Phrases Over Keywords: Semantic Content Optimization” by Ralf Dodler on Dodler Consulting. This article emphasizes the shift from keyword-based to phrase-based search engine optimization for content. It argues that phrases, rather than individual keywords, better capture the thematic core and user intent, resulting in more relevant copy. The author explains how semantic optimization works by recognizing typical language patterns that convey meaning and are analyzed by search engines. Practical advice is given on how to find such relevant phrases and use them specifically in the writing process to make texts more structured, credible and user-friendly. Finally, a checklist is presented for checking the semantic quality of content and building topical authority. The conclusion emphasizes that phrases structure meaning and thus form the basis for effective communication.

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This episode discusses the blog article “N-Grams Explained: Pattern Recognition in Text” by Ralf Dodler on Dodler Consulting. It explains the concept of N-grams as a tool for recognizing patterns in texts. It illustrates how N-grams break down language into word sequences to reveal recurring combinations and linguistic habits. The article shows how N-gram analysis can improve the quality of content by revealing thematic relevance and semantic gaps, and how N-gram optimization leads to more precise and coherent texts, while also explaining typical application errors and the benefits of N-gram tools.

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This episode discusses the blog article “Impressions without clicks: Recognizing causes & increasing CTR” by Ralf Dodler on Dodler Consulting about the phenomenon when online content is frequently displayed (impressions) but rarely clicked on. He explains the meaning of impressions and clicks and how the click-through rate (CTR) is calculated and interpreted. The article analyzes typical reasons for this imbalance, such as unattractive snippets, incorrect target groups or unfavorable SERP positions, and offers practical measures for optimizing meta titles, descriptions and content to improve the click-through rate and convert visibility into actual traffic. It also discusses when a low CTR can be harmless.

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This episode is about Dodler Consulting's Landing Page Checklist, which provides 49 detailed recommendations to optimize landing page conversion rates. The guide is divided into eight main areas, ranging from message clarity and visual design, technical functionality and trust building to targeting and legal compliance. Finally, tips are given on conversion optimization before and after the launch to ensure a continuous improvement process. The checklist is aimed at anyone who wants to create successful landing pages and achieve their marketing goals more effectively.

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The text provided, an excerpt from “Successful landing page: How to get visitors to take action” by Ralf Dodler, covers the essential elements and psychological principles of effective landing pages. It discusses how strong headlines grab attention, a clear focus drives conversions and compelling copy turns interest into action. He also explains the importance of effective visual elements, trust-building social proof and layouts that drive conversions. Finally, the design of irresistible call-to-actions is highlighted as a crucial step in achieving the goal, emphasizing the strategic use of all components.

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In this episode, we discuss connected schema markup, a method for improving search engine optimization. Schema markup structures data on web pages to make it easier for search engines to understand the content. Connected schema markup goes beyond this by linking entities on the website to external knowledge sources such as Wikidata. This improves the understanding of content, strengthens E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) and optimizes for AI-powered search, which can ultimately lead to better visibility and more organic traffic. The article also clarifies the difference between web pages and knowledge graphs and how connected schema markup links them together.

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This episode shows the benefits of extracting entities and topics from Wikipedia to improve search engine optimization (SEO). Wikipedia serves as a comprehensive and credible source of relevant keywords, structured information and semantic links. Using the “link to this page” feature, identifying relevant entities and creating topic clusters with Wikipedia can increase the visibility and authority of a website. Wikipedia also provides inspiration for new content through incomplete articles, “See also” sections and discussion pages. The integration of entities from Wikipedia increases the semantic relevance of a website and helps search engines to better understand the context.

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This episode deals with the topic “Indexing: How Google finds and analyzes websites” by Ralf Dodler from 2025 explains the process of Google indexing in detail. It describes how Google crawls, renders, processes and finally includes websites in its index, allowing them to appear in search results. The article highlights the importance of indexing for visibility and covers common problems and solutions at various stages of the process. It also provides practical tips on how to speed up indexing and answers frequently asked questions on the topic.

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