Adapting Content & Data

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Pages
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Entities

As AI platforms present brand content to the users, they are looking for specific content that addresses user prompts. Brands with structured data have a distinct advantage to create fact sheets and other assets to deliver relevant content to the answer engines.
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Proprietary
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Tiered

Publishers and data owners are opening up tiered access to their proprietary data for AI model training as well as AI citation/presence. A brand’s content, reputation, proprietary data and overall credibility in the market offer a competitive edge. 
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Assistants
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Agents

AI service platforms are rapidly developing and adapting Agentic AI solutions to automate key workflows (discovery, research, RFPs, etc.). Brands need to develop capabilities that can be exposed to these Agents to facilitate user journeys.

Action Plan

An Action Plan focuses on refactoring content and data so the brand’s expertise, differentiation, and proof points are clearly understood and reinforced by AI-driven discovery.

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Content/Data Discovery & Audit

Assess inventory of existing content, data and planned content calendar, to analyze quality and performance, identify gaps or refresh opportunities, and prioritize what needs to be refactored to support AI and search scalability. 
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Data & Schema Refactoring

Apply structured data, metadata standards, and entity mapping to make content machine-readable and fully accessible by both search engines and AI systems.
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Content Modularization

Break content into reusable, structured components to enable scalable updates, consistent messaging and AI-assisted content assembly.
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AI Assist/Enablement Layer Integration

Introduce AI into content workflows with retrieval grounding, quality guardrails, and automated generation/refactoring to accelerate product without sacrificing quality. 
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Developer Ecosystem / Agent API

Build a connective architecture that exposes content, schema, and metadata through APIs, enabling AI agents and developers to automate workflows and deliver your brand’s content experiences at scale.