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Documentation Index

Fetch the complete documentation index at: https://www.pierview.ai/docs/llms.txt

Use this file to discover all available pages before exploring further.

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Purpose

“Best X” pages are highly citeable. AI models look for structured, comparative content with clear criteria. This playbook outlines how to build a page that earns citations — and how to measure it in Pierview.

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Page structure

  1. Intro — What the page covers and who it’s for (1–2 short paragraphs)
  2. Criteria — How you evaluated options (transparency = trust)
  3. Comparison table — Side-by-side view of options (include your product fairly)
  4. Individual sections — Each option with pros, cons, best for whom
  5. FAQ — 5–10 common questions with direct answers
  6. Conclusion / Summary — Short recap and recommendation

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What AI likes

  • Clear criteria — “We evaluated on pricing, features, support” — explains the logic
  • Comparisons — Head-to-head formats match “X vs Y” and “best X” prompts
  • FAQs — Direct answers to “how to choose,” “what’s the difference”
  • Structure — Headings, lists, tables; easy to parse
  • Balance — Include alternatives; pure self-promotion gets ignored
Avoid: Thin content, no criteria, only your product. AI prefers useful roundups.

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How to measure success in Pierview

  1. Before — Run a scan for prompts like “best [X]” in your category. Note your citation rate.
  2. Publish — Launch the page. Ensure it’s indexed.
  3. After — Rescan in 2–4 weeks. Check:
    • Does your URL appear in citations?
    • Did visibility or citation rate improve?
    • Are you cited for new prompts?

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Checklist

  • Define evaluation criteria
  • Create comparison table
  • Write individual option sections (including competitors where relevant)
  • Add 5–10 FAQs
  • Add FAQ schema
  • Rescan in Pierview to measure impact

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Next steps