Narrative Market Fit
Establish the position the market and the models will actually carry — defensible against competitors, legible to AI, and backed by proof.
Signal Fidelity Group measures how AI systems describe your company today, then engineers the evidence they draw on so the answer is accurate. Founded by a communications leader with two decades inside regulated industry, including Johnson & Johnson MedTech, Takeda, and Boston Scientific.
When a buyer, investor, reporter, partner, or candidate has a high-intent question about your company, they increasingly ask an AI system before they visit your website — 94% of B2B buyers now report using large language models in their buying research (6sense, 2025). The model does not return a list of links. It assembles a single answer from your entire digital presence — and recommends before anyone clicks.
That answer is built largely from sources you never wrote and cannot edit. It is also more governable than it looks: when Yext analyzed 6.8 million AI citations in 2025, 86% came from sources a brand can manage. The window to shape your answer is open now, while the trust dynamics are still forming and the map of which sources carry authority into which models is still being drawn.
For a century, communications earned belief by passing a company's signal through a trusted intermediary — the press, then broadcast, then search, then social platforms.
The intermediary changed again. For high-intent questions, the audience now meets a company through an AI answer: assembled, summarized, and recommended before a human reaches the source.
The model assembles that answer from your entire digital presence — pages, mentions, filings, and third-party sources — much of which you never wrote and do not control.
Generative Engine Optimization (GEO) is the discipline of engineering what AI systems infer and say about a company. Where search optimization competes for links and rankings, GEO shapes the narrative, evidence, and co-occurrence that models draw on when they answer. Signal Fidelity Group operates it through a structured framework — the Five-Layer Inference Control Model.
FoundersTriple is Signal Fidelity Group’s positioning engagement for founders and CEOs. It establishes narrative market fit, measures your AI mindshare, and engineers the semantic surface so AI systems describe the company accurately when a buyer, investor, or reporter asks.
Establish the position the market and the models will actually carry — defensible against competitors, legible to AI, and backed by proof.
Baseline how AI systems describe your category and your company today: who they name, what they claim, and where you are absent or misdescribed.
Rebuild the public language, definitions, and structured data so AI systems infer your identity, utility, and credibility accurately.
Byline is Signal Fidelity Group’s communications operations system for regulated industries. It governs the claims a company must stand behind, monitors what AI systems actually say against them, and keeps approved meaning intact across owned, earned, and AI-mediated channels.
The stakes are already measurable: nearly one in three U.S. adults turned to AI chatbots for health information in the past year (KFF, 2026). In regulated categories, the answer layer is a compliance surface, not a curiosity.
A single, governed source of approved position, proof, and claims — with the boundaries a regulated company must be able to stand behind.
Operating the AI intermediary as a channel: monitoring what models say, flagging drift on regulated claims, and remediating at the source.
Keeping the message house consistent across owned, earned, and AI-mediated channels so the same approved meaning survives every summary.
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.
ReadWhen competition enters a pharmaceutical category, decades of molecule-level authority quietly change commercial meaning. Who owns what the AI says next?
ReadBrains 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.
ReadAbhi Basu founded Signal Fidelity Group after two decades leading regulated communications across pharmaceutical, medical technology, and biotechnology organizations, including Johnson & Johnson MedTech, Takeda, and Boston Scientific. The work was never simply drafting releases or running media tours — those were the current artifacts of a deeper discipline: preserving a signal as it moved through a trusted intermediary.
AI did not replace that discipline. It made the intermediary visible in a new form — and made the judgment earned over twenty years the advantage.
Signal Fidelity Group exists to bring that discipline to the new intermediary.
Establish narrative market fit and measure your AI mindshare before the next raise, launch, or story.
See how AI describes your company todayBring your message house, claims, and AI-channel operations under one governed system with Byline.
Get your answer-layer baselineSignal Fidelity Group is a strategic positioning and communications technology company. It helps founders and regulated-industry companies control how AI systems represent their narrative, using Generative Engine Optimization, narrative market fit, AI mindshare measurement, and communications operations.
Generative Engine Optimization (GEO) is the discipline of engineering what AI systems infer and say about a company. Where search optimization competes for links and rankings, GEO shapes the narrative, evidence, and co-occurrence that AI models draw on when they answer a question about you.
FoundersTriple is Signal Fidelity Group's positioning engagement for founders and CEOs. It establishes narrative market fit, measures a company's AI mindshare, and engineers the semantic surface so AI systems describe the company accurately during AI-mediated discovery.
Narrative market fit is the point at which a company's positioning is both defensible against competitors and legible to AI systems. It is the narrative equivalent of product-market fit: the story the market and the models will actually carry without distortion.
AI mindshare is how often, and how accurately, AI systems name and describe a company when they answer relevant questions. It is the successor to share of voice for an AI-mediated market, and Signal Fidelity Group measures it as a baseline before engineering any change.
Semantic fidelity is whether the meaning that arrives still carries the intent, evidence, and authority of the meaning that was sent. Signal Fidelity Group treats it as the core metric for communications that must survive synthesis by an AI intermediary.
Byline — formerly CommsOS — is Signal Fidelity Group's communications operations system for regulated industries. It combines a message house and claims registry, AI channel operations, and omnichannel orchestration so regulated companies can keep claims accurate as AI systems summarize them.
The Five-Layer Inference Control Model is Signal Fidelity Group's framework for engineering what AI says about a company: Narrative Architecture, Semantic Surface Engineering, Co-occurrence and Authority Mapping, Inference Monitoring, and Drift Remediation.
RightsDocket is a Signal Fidelity Group venture that provides authorship provenance for AI-assisted creative work. It documents how human authorship and AI assistance combine, producing a defensible record of who made what.
Abhi Basu is the founder of Signal Fidelity Group. He spent two decades leading regulated communications across pharmaceutical, medical technology, and biotechnology organizations before building Signal Fidelity Group to bring that discipline to the AI intermediary.