Outcome
Turn one product positioning into a crawlable SEO map with clear search intent per page type.
Evidence notes
- The page cluster follows the local精品工具页 SOP: TDH, information gain, internal links, examples, FAQ, and source-backed trust.
- Google sources anchor crawlability and helpful-content constraints.
- Next.js sitemap docs anchor static generation and sitemap operations.
1
Map search intent
Avoid writing random blog posts before the page architecture is clear.
Actions
- Split keywords into function, use case, alternative, comparison, template, and pricing intent.
- Assign one primary job to every URL.
- Decide which pages are indexable and which pages are support-only.
Metrics
- Intent map
- Primary keyword per URL
- No duplicate H1s
2
Build the page ladder
Make internal links help users move from research to decision.
Actions
- Link categories to tools, tools to comparisons, comparisons to best lists, and resources to templates.
- Add next-step CTAs that match the page intent.
- Use tables, examples, and checklists where they help users decide.
Metrics
- Internal links per page
- CTA clarity
- Page type coverage
3
Refresh from evidence
Use GSC data to expand pages after impressions appear.
Actions
- Review high-impression low-CTR pages weekly.
- Add FAQ from real queries, not invented keyword stuffing.
- Create new pages only when a query group has enough unique intent.
Metrics
- Query groups
- CTR movement
- New page decisions
Operating cadence
- Planning: map page type, primary intent, CTA, and source requirement before writing.
- Publishing: add internal links from at least two related pages.
- Iteration: expand pages only when GSC or user questions show unique intent.