Kurt is the CEO of Marshal, the Managed Agent Operations company.
Founder, Marshal
Measuring AI visibility is the discipline of tracking how often and where AI platforms cite your brand in generated answers across ChatGPT, Gemini, Claude, and Perplexity. It replaces click-based...
Competitive intelligence in AI search is the practice of analyzing which brands get cited by large language models and reverse-engineering the semantic, structural, and entity signals that produce...
Content roadmaps built for the AI search era start with retrieval fitness, not keyword volume. The traditional editorial calendar optimized for organic click-through is structurally misaligned...
Wikipedia and Wikidata Q-nodes anchor entity disambiguation in large language models. When an LLM encounters an ambiguous brand name, it consults public knowledge graphs to resolve identity, and a...
Multimodal LLM retrieval processes images, audio, and video alongside text. Embeddings convert visual and audio assets into vectors that retrieval systems use for similarity search, while metadata...
Endpoints give LLM retrieval systems structured access to your brand data. A dedicated JSON-LD fact endpoint, properly hosted and versioned, turns opaque marketing content into machine-readable...
In AI search, brand mentions across authoritative sources matter more than backlinks. LLMs do not follow hyperlinks to assign authority. They evaluate mention frequency, sentiment polarity, and...
Public repositories on GitHub, Hugging Face, and Zenodo function as training-data pipelines that large language models ingest during pre-training and fine-tuning. This article details how to...
Top 10 Agencies (2025)
Answer shapes are the structural patterns AI systems use to format responses
Marshal is the execution layer between frontier AI and small business.