SEO Help Center & Docs Architecture
Architect an SEO-optimized help center / documentation site for [PRODUCT_NAME] that captures support searches on Google and reduces tickets. --- π― GOALS Rank for: [how to {action}], [PRODUCT] tutorial, [PRODUCT] integration [X], troubleshooting [ERROR] Audience: [END_USERS | DEVELOPERS | BOTH] --- π INFORMATION ARCHITECTURE Top-level collections: 1. Getting Started (5β8 articles) 2. [CORE_FEATURE_A] guides 3. [CORE_FEATURE_B] guides 4. Integrations (one page per integration) 5. Billing & Account 6. Troubleshooting / Error codes 7. API Reference (if dev) β separate subtree 8. Changelog (indexable? yes with dates) Deliver: - Full URL tree /docs/... - Category descriptions (indexable intro 150 words each) - 30 article titles with target KW + search intent - Priority publish order --- π ARTICLE TEMPLATE Per article spec: - Title (H1) = exact match query variant - Meta description - Estimated read time - "Last updated [DATE]" + "Applies to: [PLAN]" - Structure: Problem β Steps (numbered) β Verify success β Related articles - Video embed placeholder? - FAQ at bottom (3) for schema --- π TECHNICAL SEO - Breadcrumbs schema - Article schema - Sitemap segment /docs - Canonical for duplicate UI paths - Search within docs (on-site) β noindex search results - Internal linking: every article links 3 related + parent category - Glossary page for product terms (link magnet) --- π SUPPORT DEFLECTION METRICS Track: organic clicks, ticket volume per article, CSAT on article Output complete IA tree + 5 fully outlined sample articles (Getting Started, 2 features, 1 integration, 1 error code).
π Example Output / Preview
Prompt Metadata
Primary Use Cases:
- β’Content marketing campaigns & professional copywriting
- β’Social media presence & audience building
- β’Business communications & strategic summaries
Associated Tags:
π‘ Pro Tips & Advice
1. Use bracketed items: Be sure to fill out all [PLACEHOLDER] elements with specific details before sending the prompt to the AI model.
2. Adjust temperature: For creative tasks, set AI temperature higher (e.g., 0.8), or lower (e.g., 0.2) for strict coding/technical tasks.
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