Site Audit
Comprehensive audit of a Webflow site's structure, content health, and quality with detailed analysis and multiple export formats.
Important Note
ALWAYS use Webflow MCP tools for all operations:
- Use Webflow MCP's
data_sites_tool with action list_sites for listing available sites
- Use Webflow MCP's
data_sites_tool with action get_site for detailed site information
- Use Webflow MCP's
data_pages_tool with action list_pages for retrieving all pages
- Use Webflow MCP's
data_cms_tool with action get_collection_list for listing CMS collections
- Use Webflow MCP's
data_cms_tool with action get_collection_details for detailed collection schemas
- Use Webflow MCP's
data_cms_tool with action list_collection_items for counting items
- Use Webflow MCP's
webflow_guide_tool to get best practices before starting
- DO NOT use any other tools or methods for Webflow operations
- All tool calls must include the required
context parameter (15-25 words, third-person perspective)
Instructions
Phase 1: Site Selection & Discovery
- Get site: Identify the target site. If user does not provide site ID, ask for it.
- Fetch site details: Use Webflow MCP's
data_sites_tool with action get_site to retrieve:
- Site name and ID
- Last published date
- Last updated date
- Timezone
- Locales (primary and secondary)
- Custom domains
- Ask user preferences: Ask what level of detail they want:
- Quick summary (counts only)
- Standard inventory (pages + collections + counts)
- Detailed inventory (includes all field schemas, item samples, SEO data)
- Full export (everything + export to file format)
Phase 2: Pages Inventory
- List all pages: Use Webflow MCP's
data_pages_tool with action list_pages to fetch all pages
- Categorize pages:
- Static pages (no collectionId)
- CMS template pages (has collectionId)
- Archived pages
- Draft pages
- Analyze page structure:
- Count pages by type
- Identify pages missing SEO metadata
- Detect orphaned pages (no navigation links)
- Check for duplicate slugs
Phase 3: CMS Collections Inventory
- List all collections: Use Webflow MCP's
data_cms_tool with action get_collection_list
- For each collection:
- Get detailed schema using Webflow MCP's
data_cms_tool with action get_collection_details
- Count items using Webflow MCP's
data_cms_tool with action list_collection_items
- Analyze field types and requirements
- Identify required vs optional fields
- Detect reference fields and relationships
- Collection analysis:
- Empty collections (0 items)
- Unused collections (no template page)
- Large collections (100+ items)
- Collections with missing required fields
Phase 4: Analysis & Insights
- Generate insights:
- Total content count (pages + items)
- Content health score
- SEO readiness
- Recommended improvements
- Identify issues:
- Missing SEO metadata
- Empty collections
- Orphaned pages
- Draft content ratio
- Show relationships:
- Which pages use which collections
- Reference field connections
- Content dependencies
- Ask export format (if user wants full export):
- Markdown (readable, great for documentation)
- JSON (machine-readable, for migrations)
- CSV (spreadsheet-friendly, for analysis)
- Text summary (console output only)
- Generate report in requested format
- Provide actionable insights: Suggest next steps based on findings
Examples
User prompt:
Step 1: Initial Report (Standard Inventory)
Step 2: Detailed Analysis (when user requests)
Step 3: Export Options
Guidelines
Phase 1: Critical Requirements
Site Information:
- Always fetch complete site details using
data_sites_tool with action get_site
- Include last published and last updated dates
- Show timezone and locale information
- Display custom domains if configured
User Options:
Offer multiple detail levels:
- Quick: Just counts
- Standard: Pages + collections + basic info
- Detailed: Full schema + analysis + insights
- Export: Everything + file output
Phase 2: Pages Analysis
Page Categorization:
- Separate static pages from CMS template pages
- Flag archived and draft pages separately
- Show page slugs/URLs for reference
- Identify pages with missing SEO metadata
Page Health Checks:
- Missing meta descriptions
- Missing OG tags
- Duplicate slugs (error condition)
- Orphaned pages (not linked in nav)
Phase 3: Collections Analysis
Collection Details:
For each collection, show:
- Display name and singular name
- Slug (URL structure)
- Total field count
- Required vs optional fields breakdown
- Item count (published/draft/archived)
- Last updated date
Field Analysis:
Categorize by type:
- Text fields (PlainText, RichText)
- Media fields (Image, Video, File)
- Relationship fields (Reference, MultiReference)
- Data fields (DateTime, Number, Color)
- Boolean fields (Switch)
- Selection fields (Option)
Field Validation:
- Show max length constraints
- Show validation patterns
- Flag required fields
- Identify reference field targets
Phase 4: Analysis & Insights
Content Health Score (0-100):
Calculate based on:
- SEO metadata completeness (25 points)
- Content-to-page ratio (20 points)
- Field utilization (20 points)
- Recent updates (15 points)
- Structure quality (20 points)
Issue Detection:
- ๐ด Critical: Missing required fields, duplicate slugs
- โ ๏ธ Warning: Empty collections, missing SEO, drafts
- ๐ก Suggestion: Add pages, create relationships, organize
Recommendations:
Suggest improvements based on:
- Missing page types (About, Contact, etc.)
- Underutilized collections
- Missing relationships between collections
- SEO optimization opportunities
Markdown Export:
JSON Export:
CSV Export:
Generate separate files:
pages.csv: All pages with metadata
collections.csv: Collection metadata
fields.csv: All fields across collections
items.csv: Item counts per collection
Batch Processing:
- For sites with 20+ collections, show progress
- For collections with 100+ items, paginate counts
- Provide estimated time for large sites
Error Handling:
- If
data_pages_tool with action list_pages fails, continue with collections
- If
data_cms_tool with action get_collection_details fails, show basic collection info
- Report partial successes separately
- Offer to retry failed operations
Data Efficiency:
- Use pagination for large result sets
- Only fetch detailed schemas when needed
- Limit item samples to 3-5 per collection
- Cache site info for repeat operations
Best Practices
Read-Only Operation:
- No confirmation needed (read-only)
- Safe to run multiple times
- No side effects or modifications
Clear Organization:
- Group by content type (pages/collections)
- Use visual hierarchy (โโโ โโโ)
- Show counts prominently
- Highlight issues with icons (โ
โ ๏ธ ๐ด ๐ก)
Actionable Output:
- Always end with recommendations
- Offer export options for detailed inventories
- Suggest next steps based on findings
- Provide comparison against best practices
Version Tracking:
If user runs inventory multiple times:
- Compare with previous run
- Show changes (new pages, deleted collections)
- Track content growth over time
- Alert on significant changes