Programmatic SEO Category Landing Page
Design a programmatic SEO page template for [SITE_NAME] that scales to hundreds of landing pages without duplicate content penalties. --- π― TEMPLATE USE CASE Page type: [e.g. "[TOOL] for [INDUSTRY]" | "[TEMPLATE] for [USE_CASE]" | "[CITY] + [SERVICE]"] Variables per page: [VAR_1], [VAR_2], [VAR_3] Example URLs: [LIST 5 EXAMPLE SLUGS] Parent category hub: /[HUB_SLUG] --- π TEMPLATE SECTIONS (fixed order) 1. H1 formula: [PATTERN β e.g. "Best {tool} for {industry} teams in {year}"] 2. Intro paragraph (100β120 words): unique value for {industry} β include {industry} pain points list 3. Benefits grid (3 cards): variable slots {benefit_1β3} mapped from industry data table 4. Feature section: pull from master feature list with {industry} examples 5. Social proof: rotate testimonial IDs by industry 6. FAQ: 6 questions β 3 global + 3 industry-specific from data table 7. CTA: [PRIMARY_OFFER] 8. Related links: 6 sibling programmatic pages + hub --- ποΈ DATA TABLE SCHEMA Define CSV/DB columns needed: industry, pain_points, benefits, testimonial_id, faq_q1β3_a1β3, meta_title_pattern, meta_desc_pattern Provide 3 fully filled example rows (real estate, healthcare, ecommerce) --- π SEO SAFEGUARDS - Minimum unique word count per page: [400+|600+] - Canonical rules - noindex for thin variants rule - Internal linking: hub β child, breadcrumbs - Schema: WebPage + FAQ where applicable - Avoid doorway pages: quality checklist (10 points) --- π SITEMAP & INDEXATION Priority tiers, crawl budget notes, XML sitemap segment strategy Output: template Markdown with {{variables}}, data schema, and 1 complete rendered example page.
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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