How to Use Lists, Tables, and FAQ Blocks

Why it matters

Generative engines extract answers in chunks. A fact wrapped in a flowing paragraph has to be located, isolated, and rephrased; the same fact in a bullet, a table cell, or a Q&A pair is already a clean, self-contained unit the model can lift as-is. Structure doesn’t make a fact more true, but it makes it easier to lift intact — which is what reduces paraphrase errors when you are cited.

FAQ blocks are the purest version of this: a question-and-answer pair maps onto the shape of a user query and an AI answer, and pairs cleanly with FAQPage schema (Phase 5.1). Use them for the real questions your readers ask — not as a block of keyword variations.

What good looks like

Extractable facts live in the structure that fits them, one idea per unit:

• Sequences and parallel points are lists — numbered for order, bulleted for parallel items, one idea per bullet.
• Comparisons and multi-attribute data are tables, not paragraphs describing the comparison.
• A dedicated FAQ section exists, with 1–2 sentence extractable answers, backed by FAQPage schema.
• High-traffic concepts carry in-body Q: / A: pairs.
• Long content closes with a Key Takeaways block distilling the top 3–5 points.

Step by step

1. Convert hidden sequences into lists Find paragraphs that secretly contain steps or parallel items and break them out. Use an ordered list for sequences ("Step 1… Step 2…") and an unordered list for parallel items — one idea per bullet, no run-ons.
2. Convert comparisons into tables Any time you describe how two or more things differ, or list attributes of a concept, use a <table> with a clear header row. Reach for a table wherever the content is comparative or multi-attribute. Comparison pages are where this matters most: a two- or three-way comparison as a table gives each attribute its own extractable cell, and comparison pages were the strongest predictor of AI-search-referred sessions in a 116-property B2B benchmark (Siege Media — Triple-comparison pages (Aug 2026)). The same comparison written as prose gives an AI system nothing it can lift intact.
3. Add a real FAQ section with schema Collect the genuine questions users ask and answer each in 1–2 complete sentences. Use real headings/markup, and mirror the section in FAQPage JSON-LD (Phase 5.1) — the schema answers must match the visible text exactly.
4. Seed in-body Q&A for key concepts For your highest-traffic concepts, place an explicit Q: / A: pair in the body where the concept is introduced. It gives the model a ready-made question-answer unit at the point of relevance.
5. Close long content with Key Takeaways End long pages with a short "Key Takeaways" list of the 3–5 most distilled, independently quotable insights. It's the section AI systems reach for when summarising the page.

Worked examples

<section>
  <h2>Frequently asked questions</h2>
  <h3>What is Generative Engine Optimisation?</h3>
  <p>GEO is the practice of structuring content so AI
     systems can accurately select and cite it in
     generated answers.</p>
</section>

<script type="application/ld+json">
{ "@context":"https://schema.org","@type":"FAQPage",
  "mainEntity":[{ "@type":"Question",
    "name":"What is Generative Engine Optimisation?",
    "acceptedAnswer":{ "@type":"Answer",
      "text":"GEO is the practice of structuring content so AI systems can accurately select and cite it in generated answers." }}]}
</script>

Common mistakes