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SEO / GEO / Information Quality / 03

Structure for humans and machines

Use headings, entities, tables, schema, media, and source attribution to reduce ambiguity.

Time
70 min
Mode
Learn → Make → Check
Path
Search & AI Discovery

By the end, you can…

Structure reduces interpretation cost

Descriptive titles, a clear heading hierarchy, direct answers, tables, definitions, and examples help readers locate meaning. They also help systems identify passages and relationships.

Structured data describes visible content in a machine-readable vocabulary. It should match the page, use the most specific relevant type, and never invent ratings, authorship, or facts.

Write citeable units without fragmenting thought

State the claim, scope, evidence, date, and source near one another. Define entities before using ambiguous pronouns. Use tables for genuine comparisons, not layout.

Media should add evidence or explanation and include useful alternatives. Captions, transcripts, and surrounding context improve access and comprehension.

Your studio task

Make — Rewrite one dense article around clear entities, questions, claims, sources, and useful media.

  1. Choose one dense article and outline the reader’s questions.
  2. Rewrite headings and opening answers for clear information scent.
  3. Place evidence, dates, and sources beside important claims.
  4. Add only structured data that accurately describes visible content.
Definition of done

A reader can scan it, verify it, and extract the right answer without losing context.

Open the interactive lesson with its workspace ↗

Knowledge check

When should structured data be added?
  1. Whenever a schema type might attract clicks
  2. When it accurately describes relevant visible page content
  3. Only after the page ranks
Reveal answer (B)

Structured data should be truthful, relevant, and consistent with what people can see.

Structured data should…
  1. Accurately describe visible page content
  2. Invent ratings to attract clicks
  3. Match the last article you read
Reveal answer (A)

Markup that contradicts visible content misleads systems and can harm trust.