What is an AI Search Optimization Agency?
An AI search optimization agency is a professional service firm built to engineer brand visibility across large language models like ChatGPT, Claude, Gemini, and Perplexity. Unlike traditional...
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Kurt Fischman
Founder, Marshal
Kurt is the CEO of Marshal, the Managed Agent Operations company that designs, deploys, and operates AI agents as critical infrastructure for founder-led businesses.
Articles by Kurt Fischman
Authority Building for LLM Credibility
authority-building-for-llm-credibility
Trust Signals in AI-Driven Rankings: Why Authority is the New Currency of Visibility
Trust signals in AI-driven rankings are the verifiable markers of credibility, authority, and factual consistency that large language models use to evaluate, rank, and retrieve content for...
The Ultimate Guide to Building AI-Era Authority
AI-era authority is the practice of making a brand discoverable, interpretable, and citation-worthy to large language models including ChatGPT, Claude, Gemini, and Perplexity. It replaces the...
Measuring AI Visibility: A Step by Step Guide to Citation Analytics
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
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 in the Age of AI Search
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 or Die: How to Claim Your Q-Node and Own LLM Entity Disambiguation
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...
Embedding Visual and Audio Assets for LLM Retrieval: A Field Manual to Multimodal Immortality
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...
How to Use Endpoints to Drive LLM Citations
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...
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