SEO Research Suite - The SEO and LLMO thought leading podcast

Olaf Kopp
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SEO Research Suite - The SEO and LLMO thought leading podcast

2-3 times a week in the podcast are discussed Google patents, research papers and other hot topics like E-E-A-T, LLMO, semantic search and Ranking. This podcast gives you exclusive insights about SEO and LLMO based on fudamental research of SEO relevant patents, research papers and Google leaks analyzed for the SEO Research Suite: https://www.kopp-online-marketing.com/seo-research-suite Follow now not to miss the insights!

  1. 1일 전

    Research Paper of the week: Knowledge-Based Trust: Estimating the Trustworthiness of Web Sources

    The Google paper “Knowledge-Based Trust: Estimating the Trustworthiness of Web Sources” presents an algorithm for evaluating the credibility of websites. Instead of conventional methods based on links or user behavior, the algorithm focuses on the factual accuracy of published information. An important aspect is the automated extraction and verification of facts using natural language processing (NLP) techniques and comparison with knowledge databases such as Wikidata. The result is a “Knowledge-Based Trust” score (KBT), which assesses the trustworthiness of a source regardless of its popularity. The process aims to reduce the spread of false information on the Internet. https://www.kopp-online-marketing.com/patents-papers/knowledge-based-trust-estimating-the-trustworthiness-of-web-sources https://youtu.be/Z6tmDdrBnpU?si=hwMWx92Y-htj25gE

    15분

  2. 4일 전

    Helpful Content: What Google Really Evaluates

    The first source is an excerpt from the Google Search Central documentation and describes in detail how Google evaluates helpful and reliable content. It provides checklists and guidelines for creating user-centered content and explains concepts such as E-E-A-T and the role of user signals in ranking. The second source, a blog post by Olaf Kopp, also analyzes Google's evaluation of “helpful content”, but argues that user signals, such as click-through rates and dwell time, are more important than purely content-related factors. Kopp emphasizes the limitations of checklists and stresses the importance of user feedback for Google's algorithms. Both sources deal with Google's ranking system and the importance of user-friendly, high-quality content, with different emphases. https://www.kopp-online-marketing.com/google-helpful-content

    15분

  3. 6일 전

    Research paper of the week: Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels

    The podcast discusses a research paper from Google for improving zero-shot LLM rankers by incorporating finely granular relevance labels into the prompts. Instead of binary labels (“Yes”/“No”), multi-level labels (e.g. “Highly relevant”, “Somewhat relevant”, “Not relevant”) are used to increase the accuracy of the ranking. Experiments on eight BEIR datasets show significant performance improvements compared to conventional binary approaches. Different strategies for aggregating the probabilities of the labels are compared, with the use of the highest probability being highlighted as particularly efficient. The results emphasize the potential of fine granular relevance labels to improve the performance of LLMs in the field of information retrieval. https://www.kopp-online-marketing.com/patents-papers/beyond-yes-and-no-improving-zero-shot-llm-rankers-via-scoring-fine-grained-relevance-labels

    12분

  4. 12월 18일

    How to use micro intents for SEO and content journey mapping

    The podcast discusses an extended model for analyzing search intentions, the so-called “micro intents”. In contrast to classic categories such as “informational” or “transactional”, it breaks down search intentions into more detailed subcategories in order to create more relevant content. This is illustrated using examples and a visualization of the customer journey that shows different phases and suitable content formats. The author argues that this granular analysis leads to a better alignment of content with user needs and thus improves the user experience. The method of micro intent analysis is further specified by the inclusion of verbs and SERP analyses.

    16분

  5. 12월 16일

    What is BM25 and how important it is for ranking?

    The article discussed in the podcast explains the BM25 algorithm, which is used by search engines to determine the relevance of documents for a specific search query. It explains the components of the BM25 formula - term frequency, inverse document frequency and document length normalization - and compares BM25 with the TF-IDF algorithm. https://www.kopp-online-marketing.com/what-is-bm25

    19분

  6. 12월 14일

    Research paper of the week: Prompt Canvas for better prompting for LLMs

    The podcast discusses the development of a “Prompt Canvas”, a structured framework for the effective design of prompts for large language models (LLMs). Based on a systematic literature review, various prompting techniques are identified and visualized in the canvas to provide practitioners with a clear guide for application. The canvas includes categories such as persona/role, task/intention, context/references and output format/sound. In addition, recommended techniques and tools for optimizing prompt design are presented. The aim is to overcome the fragmentation of knowledge in the field of prompt engineering and to simplify practical application. https://www.kopp-online-marketing.com/patents-papers/the-prompt-canvas-a-literature-based-practitioner-guide-for-creating-effective-prompts-in-large-language-models-free

    15분

  7. 12월 12일

    What is the the SEO Research Suite and how it can help you to get advanced SEO knowledge?

    Olaf Kopp presents the “SEO Research Suite”, a database with analyses of SEO-relevant patents and research papers. The suite offers members AI-supported research assistants and thus accelerates access to in-depth knowledge. It aims to turn SEO experts into thought leaders through exclusive insights and time-saving tools. Positive user reviews underline the added value of efficient research and comprehensible summaries of complex information. The suite comprises various membership levels with different levels of functionality.

    10분

  8. 12월 9일

    Information gain score: How it is calculated? Which factors are crucial?

    This podcast discusses the article Information gain score: How it is calculated? Which factors are crucial? by Olaf Kopp. This episode explains information gain as a ranking factor of modern search engines. It is described the calculation of information gain using entropy and machine learning models, its application in various areas of search engines (ranking, filtering, personalization) and the connection with phrase-based indexing. The podcast emphasizes the importance of unique content for SEO and suggests methods to optimize the information gain for own content. Finally, implications for search engine optimization (SEO) are discussed, with a focus on providing new and relevant information to users. https://www.kopp-online-marketing.com/information-gain-how-it-is-calculated-which-factors-are-crucial

    18분
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소개

2-3 times a week in the podcast are discussed Google patents, research papers and other hot topics like E-E-A-T, LLMO, semantic search and Ranking. This podcast gives you exclusive insights about SEO and LLMO based on fudamental research of SEO relevant patents, research papers and Google leaks analyzed for the SEO Research Suite: https://www.kopp-online-marketing.com/seo-research-suite Follow now not to miss the insights!

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