Podcast thumbnail for SEO Research Suite - The SEO and LLMO thought leading podcast

SEO Research Suite - The SEO and LLMO thought leading podcast

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by Olaf Kopp

4.7(3 reviews)
106 episodes
Updated Daily
Accepts GuestsHas Sponsors
54

Podcast Authority

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FairBased on show quality, social media presence, reviews, charts, and more
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Quality95
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Engagement32

Podcast Overview

1-2 times a week in the podcast are discussed Google patents, research papers and other hot topics like E-E-A-T, LLMO, Generative Engine Optimization (GEO), semantic search and Ranking. This podcast gives you exclusive insights about SEO and GEO based on fudamental research of SEO & GEO relevant patents, research papers and Google leaks analyzed for the SEO Research Suite: https://www.kopp-online-marketing.com/seo-research-suite The SEO Research Suite, is a unique database, and AI tools for advanced SEO & Generative Engine Optimization (GEO). Follow now not to miss the insights!

Language

🇺🇲

Publishing Since

11/15/2024

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54

Podcast Authority

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FairBased on show quality, social media presence, reviews, charts, and more
Pod Engine
Quality95
Social0
YouTube0
Engagement32
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Recent Episodes

Episode thumbnail for Search patent of the week: Generative Search Results Documents Based on Enhanced Search Results Using Generative AI Models

July 24, 2026

Search patent of the week: Generative Search Results Documents Based on Enhanced Search Results Using Generative AI Models

<p>This Microsoft patent outlines a <strong>generative document system</strong> designed to replace traditional link lists with structured, AI-curated reports. To ensure depth, the technology uses a <strong>query fan-out</strong> method to expand a single user request into multiple related sub-queries. A specialized architecture then employs <strong>multiple small AI models</strong> to rank results, generate concise summaries, and assemble topic-specific sections in under ten seconds. The system maintains accuracy through <strong>quality control gates</strong> that filter out hallucinations, duplicate content, and policy violations. For efficiency, full documents are only produced for <strong>complex queries</strong> requiring synthesis, while simpler searches remain standard. Ultimately, this approach redefines search by prioritizing <strong>intent-based re-ranking</strong> and parallel processing to deliver direct, cited answers.</p><p><a href="https://www.kopp-online-marketing.com/patents-papers/generative-search-results-documents-based-on-enhanced-search-results-using-generative-ai-models" target="_blank" rel="noopener noreferer">https://www.kopp-online-marketing.com/patents-papers/generative-search-results-documents-based-on-enhanced-search-results-using-generative-ai-models</a></p>

Episode thumbnail for Search patent of the week: Utilizing large language model (LLM) in responding to multifaceted queries

July 7, 2026

Search patent of the week: Utilizing large language model (LLM) in responding to multifaceted queries

<p>This episode examines a <strong>Google patent</strong> designed to improve how search engines process <strong>complex, multifaceted, or noisy natural language queries</strong>. The system uses a <strong>Large Language Model (LLM)</strong> to &quot;fan out&quot; a single complicated request into several <strong>distinct subqueries</strong> that target specific facets of the user&#39;s intent. To ensure efficiency and accuracy, these subqueries are filtered using <strong>relatedness and diversity metrics</strong> before the system retrieves and synthesizes the final search results. This technology specifically triggers when inputs are <strong>unusually long, rare, or likely to produce low-quality results</strong> through traditional search methods. For digital creators, the patent suggests a shift toward <strong>optimizing for atomic intents</strong> and creating <strong>self-contained content blocks</strong> that align with how LLMs decompose information. Ultimately, the methodology aims to provide <strong>coherent, comprehensive answers</strong> while reducing the computational burden on servers.</p><p><br></p><p><a href="https://www.kopp-online-marketing.com/patents-papers/utilizing-large-language-model-llm-in-responding-to-multifaceted-queries" target="_blank" rel="noopener noreferer">https://www.kopp-online-marketing.com/patents-papers/utilizing-large-language-model-llm-in-responding-to-multifaceted-queries</a></p>

Episode thumbnail for Search patent of the week: Generating a distilled generative response engine trained on distillation data generated with a language model program

June 6, 2026

Search patent of the week: Generating a distilled generative response engine trained on distillation data generated with a language model program

<p>This documentation details an OpenAI patent for creating a distilled generative response engine designed to deliver rapid, accurate search results. The system utilizes a large teacher model guided by a complex tree of prompts to generate high-quality training data, which then teaches a smaller student model to function independently. This architectural approach prioritizes low-latency responses by streamlining the model&#39;s size while maintaining sophisticated capabilities like query revision and source citation. The process categorizes information into specific branches, such as technical content or how-to instructions, to apply specialized formatting and logic. For digital publishers, the patent underscores the necessity of maintaining top-tier search rankings and utilizing structured headers to remain visible to the engine. Ultimately, the technology aims to replace slow, bulky AI interactions with a highly efficient retrieval system that mirrors human expert synthesis.</p><p><a href="https://www.kopp-online-marketing.com/patents-papers/generating-a-distilled-generative-response-engine-trained-on-distillation-data-generated-with-a-language-model-program" target="_blank" rel="noopener noreferer">https://www.kopp-online-marketing.com/patents-papers/generating-a-distilled-generative-response-engine-trained-on-distillation-data-generated-with-a-language-model-program</a></p>

106 total episodes available

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Frequently asked questions

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What is SEO Research Suite - The SEO and LLMO thought leading podcast?

1-2 times a week in the podcast are discussed Google patents, research papers and other hot topics like E-E-A-T, LLMO, Generative Engine Optimization (GEO), semantic search and Ranking.

This podcast gives you exclusive insights about SEO and GEO based on fudamental research of SEO & GEO relevant patents, research papers and Google leaks analyzed for the SEO Research Suite: https://www.kopp-online-marketing.com/seo-research-suite

The SEO Research Suite, is a unique database, and AI tools for advanced SEO & Generative Engine Optimization (GEO).

Follow now not to miss the insights!

How often does this podcast release new episodes?

This podcast updates daily.

Where can I listen to this podcast?

This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

Does this podcast accept guests?

Yes, this podcast regularly features guests.

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