We bridge the gap between human technical expertise and AI retrieval. Moving high-stakes brands from AI Hallucinations to Verified Citations.
Monitored AI Retrieval Systems
OpenAI
Anthropic
Perplexity
GeminiA forensic, systems-level approach to ensuring your brand is accurately represented in every AI response.
Harmonizing brand identity across the global knowledge graph using Forensic Schema protocols. We ensure AI systems retrieve the correct, canonical version of your brand — not a hallucinated approximation.
Refactoring technical data into high-density "Citable Assets" optimized for LLM extraction. We restructure your expertise so it becomes the source AI systems quote — not your competitors'.
Quantifying brand authority and citation rates across ChatGPT, Perplexity, and Gemini. We measure exactly how often AI systems reference your brand versus competitors — then close the gap.
Repeatable. Measurable. Results grounded in verifiable data, not guesswork.
We systematically query ChatGPT, Perplexity, and Gemini to document exactly what they currently say about your brand — errors, omissions, and competitor citations included.
A full audit of your knowledge graph presence: Wikidata entries, Schema.org implementations, LLM-Native Protocol Deployment (llms.txt), and the structured signals AI systems use to build their understanding of you.
We engineer or refactor your content into high-density, LLM-readable formats — the technical documentation, comparison pages, and authority assets that AI systems extract from.
Ongoing monthly measurement of your Share of Model: citation rates, accuracy scores, and competitive positioning across all major generative AI platforms.
Every engagement begins with a confidential Strategic Discovery conversation. No templates. No generic audits.
Answer four diagnostic questions to help us understand your current AI authority position. This is a confidential, no-obligation discovery process.
Direct Contact
scott@citeablesystems.com