Structured Evidence Object

Extended definition

Structured Evidence Objects are information packages formatted for maximum AI reusability: comparison tables, decision frameworks, step-by-step checklists, benchmark data sets, and specification sheets. Unlike narrative content, these objects present information in clearly delineated structures that AI models can extract, verify, and insert directly into generated answers. They use consistent formatting, explicit labels, and logical organization that makes them ideal citation material. When an AI needs supporting evidence, structured objects are infinitely easier to use than paragraphs of prose.

Why this matters for AI search visibility

AI engines favor structured evidence because it's reliable, extractable, and verifiable. A well-designed evidence object can be cited hundreds of times across different queries and contexts. For B2B companies, these objects often address high-value comparison questions, technical specifications, and decision frameworks—exactly where prospects need information. Unlike blog posts that get cited once or never, evidence objects become perpetual citation engines that compound visibility month after month.

Practical examples

• A feature comparison table earns 127 citations across AI platforms in 6 months, becoming the default reference for category comparison
• A security compliance checklist structured as a schema-marked object appears in 43% of related AI answers
• A pricing tier comparison table generates more qualified inbound than 3 years of content marketing combined