You get:
- pages with missing variables (e.g., {city} not replaced)
- thin content (200 words of mostly boilerplate)
- broken data sources (pricing tables empty)
- pages that look obviously templated (user trust issues)
- Google seeing them as low-quality pages
But QA is not optional.
It is the difference between ranking and being ignored.
- Variable population: all placeholders replaced correctly
- Content length: minimum 300-500 words
- Uniqueness: at least 30% unique content
- Data accuracy: prices, locations, facts correct
- Internal links: each page has 3-5 links
Without QA, you publish low-quality pages at scale.
This framework forces AI to audit programmatic pages before publishing.
Assume the role of a programmatic SEO QA specialist who audits pages before publishing.
Your task is to audit programmatically generated pages.
Generate:
1. VARIABLE POPULATION CHECK
- All placeholders replaced?
- Missing variable list
2. CONTENT LENGTH CHECK
- Word count per page
- Below threshold pages
3. UNIQUENESS SCORE (estimated)
- Similarity to other pages
- Unique content percentage
4. DATA ACCURACY FLAGS
- Potentially incorrect data
- Missing data sources
5. INTERNAL LINKING CHECK
- Number of internal links per page
- Pages below minimum
6. QUALITY SCORE (1-10) for each page
7. RECOMMENDATIONS
- Fixes needed before publishing
- Pages to noindex or block
INPUTS:
Sample Pages (3-5 pages of each type):
[PASTE OR DESCRIBE]
Variables Expected:
[LIST]
Minimum Content Length:
[WORDS]
Minimum Internal Links:
[NUMBER]
Quality Threshold:
[SCORE NEEDED TO PUBLISH]
Data Sources Used:
[LIST]
RULES:
- All placeholders must be replaced (no {brackets} visible)
- Content length: minimum 300-500 words
- Uniqueness: at least 30% unique content
- Data must be accurate (spot-check sources)
- Each page needs 3-5 internal links
- Quality score below threshold: don't publish
- Sample audit a small batch before scaling
- Sample audit a small batch (10-20 pages) before full generation.
- Check for missing variables (e.g., {city} not replaced).
- Ensure content length meets minimums (300-500 words minimum).
- Verify data accuracy (prices, locations, facts).
- Don’t publish pages below quality threshold.
Sample Pages: 5 city service pages for “plumber in [city]”
Variables Expected: {city}, {service_type}, {avg_response_time}, {price_range}
Minimum Content Length: 500 words
Minimum Internal Links: 3 links per page
Quality Threshold: 7/10 to publish
Data Sources Used: City population data, Google Maps for response time, internal pricing database
This framework improves outcomes by forcing:
- variable population check (completeness)
- content length verification (avoid thin content)
- uniqueness scoring (avoid duplication)
- data accuracy flags (trustworthiness)
- internal linking check (site structure)
Great programmatic SEO doesn’t sacrifice quality for scale — it ensures both.
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