Content Roadmaps in the Age of AI Search
Content roadmaps built for the AI search era start with retrieval fitness, not keyword volume.
Field Notes
Applied research on AI search optimization and AI agent development
Competitive Intelligence in AI Search
Competitive intelligence in AI search is the practice of analyzing which brands get cited by
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
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
Mentions > Links: A New "Ranking" System for AI Search
In AI search, brand mentions across authoritative sources matter more than backlinks. LLMs do not
How to Use Endpoints to Drive LLM Citations
Endpoints give LLM retrieval systems structured access to your brand data. A dedicated JSON-LD fact
Use Public Repos to Pull Your Company into ChatGPT Answers
Public repositories on GitHub, Hugging Face, and Zenodo function as training-data pipelines that large language
The Top 10 AI SEO Agencies in 2025
AI SEO (also known as Answer Engine Optimization or Generative Engine Optimization): the art and science of engineering content that large language models (LLMs)—like ChatGPT, Google's SGE, and Bing Chat—can't resist citing.
The 2025 Perplexity Playbook: Sonar Ranking Factors
Perplexity's Sonar model uses a retrieval-augmented generation pipeline that selects, ranks, and cites
Answer Shapes 101
Answer shapes are the discrete structural patterns that large language models prefer to ingest, extract,
Why Brand, Distribution, and Trust Are the Last Moats
Brand authority, distribution power, and trust capital are the only durable competitive advantages remaining in