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    Knowledge Base

    AI Brand Reputation Glossary

    The key terms and concepts for understanding how AI represents your brand and how to fix it. These are the core concepts behind Optimly's platform.

    Core Platform Concepts

    These terms define how Optimly measures, identifies, and fixes AI brand reputation.

    Optimly IP

    Brand Vault

    Your canonical brand truth document that defines who you are, what you do, how you're different, and who you serve. The Brand Vault serves as the benchmark for measuring AI comprehension and the source material for strategic content deployment.

    Example: Optimly's Brand Vault contains your verified positioning, key differentiators, target audience, and competitive landscape—structured for both AI models and human strategists.

    Optimly IP

    Brand Authority Index

    Optimly's primary KPI for measuring AI brand reputation. Combines Message Pull-Through (how accurately AI reproduces your positioning), Answer Presence (how often you appear in category questions), and Owned Citations (how deeply your brand is embedded in the model's reasoning).

    Example: A Brand Authority Index of 82/100 means AI models are accurately representing your brand most of the time—correlating with higher pipeline quality and shorter sales cycles.

    Optimly IP

    AI Comprehension Measurement

    Automated testing of how AI models like ChatGPT, Claude, Gemini, and Perplexity describe and recommend your brand. Measures category accuracy, competitive positioning, and white space opportunities.

    Example: Optimly runs your brand through category, comparative, and problem-solution queries across all major AI models to identify where AI gets you wrong.

    Optimly IP

    Causal Source Remediation

    The practice of fixing AI brand reputation by targeting the specific sources feeding the model's training. Includes replacing outdated sources with Ground Truth, content briefs targeting white space opportunities, and before/after validation.

    Example: After identifying that outdated blog posts were causing AI misrepresentation, Optimly deployed causal source remediation that improved Hal9's AI-referred traffic by 1,600%.

    Optimly IP

    Foundational Knowledge vs. Retrieved Information

    The two knowledge layers that AI agents operate on. 'Foundational Knowledge' (Parametric) is what AI learned during training—its basis for trust and reasoning. 'Retrieved Information' (RAG/Search) is what AI finds in the moment via search—temporary and viewed with skepticism. 59.8% of brand misrepresentation happens in the Foundational Knowledge layer.

    Example: Traditional SEO only works on Retrieved Information. Optimly fixes Foundational Knowledge by updating the exact sources AI referenced during training.

    All Terms

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

    Ready to Fix Your AI Brand Reputation?

    Understanding the vocabulary is the first step. The next step is seeing what AI actually says about your brand. Run a free audit to get your Brand Authority Index.