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Conversational Content: Writing for Humans AND AI

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What is conversational content?

Conversational content naturally answers the questions a user (human or AI) might ask. Verity Score evaluates the conversational quality of your product page content.

Why it matters for AI

LLMs work on a question-answer model. When a user asks β€œwhat’s the best serum for dry skin?”, the LLM searches available sources for answers to that specific question.

Content that anticipates and answers these questions will be cited and recommended. Purely descriptive or marketing content will be ignored.

The dimensions of good AI-friendly content

Comparison of vague marketing vs conversational content: vague superlatives (ignored by AI) on the left, precise and verifiable facts (cited by AI) on the right
Figure 1 - Vague marketing vs conversational content: what AI cites and recommends

Well-optimized content for AI stands out through:

  • Information density: more facts (ingredients, dimensions, specs) than vague marketing superlatives
  • Structure: clear sections with subheadings (H2, H3). LLMs extract information better from well-organized content
  • Q&A format: FAQ sections and question-answer formats are the most natural for LLMs
  • Sector-specific vocabulary: adapted technical terms (INCI for cosmetics, textile composition for fashion, etc.)

Verity Score automatically evaluates the conversational quality of your content.

The Writing Rules

Rule 1: Facts before opinions

AvoidPrefer
”The best serum on the market""0.5% pure retinol concentrate"
"Ultra-fast shipping""24-48h delivery to mainland US"
"Thousands of happy customers""4.7/5 from 342 customer reviews”

Rule 2: Anticipate questions

Top questions AI agents receive about e-commerce products:

  • β€œWhat’s the price?”
  • β€œWhat are the ingredients/materials?”
  • β€œHow long does shipping take?”
  • β€œCan I return the product?”
  • β€œIs it suitable for [my specific need]?”

Rule 3: One paragraph = one answer

Each paragraph should answer an identifiable question.

Rule 4: Include technical data

AI values precise data: exact dimensions, weight, composition, origin.

<h2>Product Overview</h2>
<p>[2-3 sentence summary answering "what is it?"]</p>

<h2>Ingredients / Materials</h2>
<p>[Complete, precise list]</p>

<h2>How to Use</h2>
<p>[Usage instructions]</p>

<h2>Who Is It For?</h2>
<p>[Use cases and target audience]</p>

<h2>FAQ</h2>
<details>
  <summary>Question 1?</summary>
  <p>Detailed answer.</p>
</details>


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Frequently Asked Questions

What is conversational content for e-commerce product pages?
Conversational content naturally answers the questions shoppers ask, like 'what are the ingredients?', 'how long does shipping take?', or 'is this good for sensitive skin?'. It's structured so both humans and AI can extract useful answers.
How do I write product descriptions that AI can recommend?
Use specific facts instead of marketing superlatives ('0.5% retinol' instead of 'the best serum'), structure content with headings that match common questions, and include technical data like dimensions, materials, and composition.
Why does AI ignore my product page content?
AI prioritizes factual, structured content over marketing copy. If your descriptions are purely promotional ('amazing quality!') without specific data, AI has nothing concrete to cite. Add measurable facts, ingredients, specs, and clear answers to common questions.
Should I add a FAQ section to my Shopify product pages?
Yes. FAQ sections using HTML details/summary elements are highly valuable for AI because each question-answer pair maps directly to the queries shoppers ask AI assistants. Include 3-5 questions covering ingredients, shipping, returns, and usage.
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