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    Knowledge Base

    The Vocabulary of Agentic Marketing

    As search shifts from keywords to Answer Engines, the language of marketing is changing. These are the core concepts needed to build an Agentic Marketing team and engineer your brand's Digital Source Truth.

    Core Optimly Concepts

    These proprietary terms define the Agentic Marketing framework—the operational model that separates observation from outcome.

    Optimly IP

    Agentic Marketing

    A hybrid operational model where Autonomous Agents handle high-scale data monitoring (signal detection) while Human Strategists execute high-fidelity interventions (source engineering) to drive revenue.

    Example: Optimly's Agentic Marketing platform uses AI agents to monitor 50+ LLMs in real-time, while human strategists craft the nuanced fixes that retrain model understanding.

    Optimly IP

    Digital Source Truth

    The specific web of high-authority data points (documentation, code repositories, press) that an LLM treats as the definitive fact-set for a brand entity.

    Example: A company's GitHub documentation, official press releases, and authoritative review sites form its Digital Source Truth—the foundation of how AI models 'know' the brand.

    Optimly IP

    AI Slop

    Low-fidelity, mass-generated content designed to game algorithms. Optimly categorizes this as a negative signal that reduces 'Information Density' and causes models to distrust a domain.

    Example: Publishing 500 AI-generated blog posts per month is 'AI Slop'—it dilutes your domain's authority and trains LLMs to deprioritize your content.

    Optimly IP

    Causal Source Analysis

    The methodology of tracing a specific LLM hallucination or answer back to the exact source URL or text fragment responsible for the error.

    Example: Optimly's Causal Source Analysis identified that a competitor's outdated comparison page was causing ChatGPT to misstate our client's pricing.

    Optimly IP

    RLHF Loop (Brand Context)

    In the context of brand reputation, the process of using human-verified corrections to train a model to prefer accurate brand messaging over hallucinations.

    Example: By publishing authoritative corrections to high-weight sources, brands can create an RLHF Loop that permanently fixes how models understand their product.

    Core AEO & AI Search Terms

    The foundational vocabulary for understanding how LLMs perceive, synthesize, and recommend brands.

    Ready to Build Your Agentic Marketing Team?

    Understanding the vocabulary is the first step. The next step is engineering your Digital Source Truth. See how Optimly's hybrid model of AI agents and human strategists drives revenue from AI.