Writing from Signal Fidelity Group on the discipline of delivering a company’s signal through the trusted intermediary - now, increasingly, the AI model. Start with the thesis, then the ideas that compose it.
The answer layer is becoming an action layer. When software classifies, compares, shortlists, and routes, decision-frame fidelity has to survive past synthesis and into selection.
Read article →When competition enters a pharmaceutical category, decades of molecule-level authority quietly change commercial meaning. Who owns what the AI says next?
Read article →Brains and LLMs both minimize surprisal, so the language that earns human trust is the same language a machine retrieves and reproduces accurately. The science behind Share of Model — and the failure mode, Semantic Drift.
Read article →Corporate communications was born from risk, not publicity — and the Great Inversion is dragging it back to that founding purpose. From Ludlow and Standard Oil to the Content Factory to the return of truth authentication.
Read article →94% of B2B buyers report using large language models in their buying research (6sense, 2025). If the AI doesn’t name you in its answer, you are not in the consideration set. Signal Fidelity Group built FoundersTriple to solve this problem.
Read article →AI mindshare is the degree to which AI answer engines associate your brand with the problems your buyers are trying to solve. It is the metric that replaced Share of Voice, and most companies haven’t noticed the switch.
Read article →Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) are how founders get named in AI answers. Here's the playbook for showing up on ChatGPT — and the deeper goal it serves: Narrative Market Fit.
Read article →A semantic triple is the subject–predicate–object fact AI systems store about you. Own your triples and you influence what AI says; ignore them and the model invents them. This is the mechanism behind FoundersTriple.
Read article →Narrative Market Fit (NMF) is the point at which the market — and the AI models that now mediate it — repeat your company's framing of its category accurately and unprompted. It is the founder-era successor to product–market fit.
Read article →Semantic fidelity is the degree to which human intent and meaning survive intact as language passes through probabilistic AI systems, agents, and inference-driven intermediaries.
Read article →The foundational frame for Signal Fidelity Group: communications has one durable job and one fixed biological constraint; only the intermediary changes — and it is now the AI inference engine. Why content became a liability, and what earning the Algorithmic License to Operate now requires.
Read article →Generative AI made fluent language cheap. It did not make approved meaning cheap. Cognitive Horsepower measures the work that survives verification — not the language AI generates.
Read article →AI answer engines now describe your company before anyone reaches your site. A field guide to the three games of AI-era PR — Retrieval, Memory, and Action — graded on evidence and built for regulated communications.
Read article →Twenty years of high-stakes healthcare communications taught one lesson: the job is earning the right to be believed through a trusted intermediary. That intermediary is now an AI inference.
Read article →A foundational position paper on Linguistic Engineering — the discipline of engineering trust into AI-mediated communications and agentic systems for regulated industries.
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