AI evaluates precision, clarity, and structure. Content designed for humans may not always

translate well to AI comprehension.

Guidelines:

1. Clear, Factual Sentences: Avoid ambiguity.

2. Structured Data: Lists, summaries, FAQs.

3. Explicit Relationships: Example: “Lafz Velvet Matte Lipstick is made in Italy and contains no

animal fat.”

4. Extended Context: Provide background to prevent hallucinations.

Demo: Compare AI output for structured JSON data versus unstructured web copy.

Exercise: Rewrite a product page for AI comprehension using semantic markup.


Technical Foundations: Knowledge Graphs

Knowledge graphs capture entities and their relationships in AI-readable form.

Example:

Lipstick → has finish → Mat

Lipstick → brand → Lafz

Lafz → origin → Italy

Lipstick → suitable for → Dry skin

AI can now answer: “Which Lafz lipsticks are matte and suitable for dry skin?” accurately.

Exercise: Build a knowledge graph for five products and query it with an AI to test accuracy

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