AI for brands
Brand governance for the AI era — vendor-neutral, sourced analysis on keeping AI on-brand and safe to publish.
Latest from kbie.blog
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How AI assistants decide which brands to recommend
AI assistants now shape which brands buyers consider. What the evidence shows about how they decide whom to name, and what makes a brand…
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How to build a brand knowledge base your AI tools can actually use
A brand knowledge base built for AI retrieval is not a PDF—it is a structured, modular fact store your tools can query, version and…
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Building a brand voice an AI can actually follow
Three adjectives in a deck are enough for a human writer. A model needs a specification. How to turn brand voice into rules a…
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From style guide to system: operationalising brand rules for AI
A style guide describes your brand to people. AI tools need a system: rules that are explicit, versioned, testable and enforced at the point…
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The CMO’s checklist for AI brand readiness
AI assistants now shape how buyers first meet your brand. A practical CMO checklist for auditing, structuring and governing brand readiness.
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What “safe to publish” really means for AI-generated content
AI made content cheap to produce and expensive to get wrong. A working definition of “safe to publish” — four tests, and why spot-checking…
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The hidden cost of inconsistent brand facts in the AI era
Inconsistent brand facts were always expensive. Now AI assistants read them at scale — and repeat the errors to your customers. Here is what…
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Measuring AI brand visibility: the metrics that actually matter
The clicks-and-rankings playbook misses the answer layer. Here are the AI-era brand visibility metrics that matter, how to measure them, and their limits.
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RAG, fine-tuning, or a knowledge graph: how to ground AI in your brand
A plain-English guide to RAG, fine-tuning, and knowledge graphs: what each one does, where it fails, and how they combine to ground AI in…