# Content Depth Report

**Post:** lexikon/cv-parsing
**Generated:** 2026-03-03 16:07:59

## Competitor Word Counts

| Position | Domain | Word Count |
|----------|--------|------------|
| #1 | workwise.io | 1,291 |
| #2 | talention.de | 1,638 |
| #3 | karrierebibel.de | 1,764 |
| #4 | universal-search-box.com | 0 |
| #5 | jobcloud-hrtech.com | 1,339 |
| #6 | textkernel.com | 2,252 |
| #7 | dvinci.de | 1,693 |
| #8 | livecareer.de | 0 |
| #9 | hunter-software.de | 669 |
| #10 | die-bewerbungsschreiber.de | 390 |
| #11 | wila-arbeitsmarkt.de | 720 |
| #12 | fau.de | 622 |
| #13 | perbit.com | 1,993 |
| #14 | personio.de | 0 |
| #15 | klippa.com | 2,321 |

**Average:** 1,113 words

## Competitive Depth Target

- **Recommended Target:** 1,700 words

## Outline vs Target

No target in CONTENT_OUTLINE.md. Set from data/competitive-depth-analysis.md.

## Current Post Gap

- **Current word count:** 0 words
- **Gap to recommended target:** 1,700 words

## Missing Topics (from competitive-depth)

- Kontakt
- Leitfäden
- Features
- Cv parsing
- $0/monat
- Ab $99/monat
- Ab $500/monat
- Kundenbeispiele
- Footer
- Job parser

## Unique Value Reminder

Before writing, ensure CONTENT_OUTLINE.md Unique Value section has ≥1 item checked (original data, expert insights, better format, freshness, use case). See SKYSCRAPER_TECHNIQUE_2026.md.

## Suggested Next Steps

1. Review data/competitive-depth-analysis.md for full recommendations
2. Set CONTENT_OUTLINE.md target from competitive-depth (minimum 80% of recommended)
3. Add H2 sections to cover missing topics
4. Complete SERP_ANALYSIS.md manual sections (30 min browser review)
5. Run `php v2/scripts/blog/check-outline-h2-overlap.php --post=cv-parsing --category=lexikon` to avoid duplicate H2s
6. Run `php v2/scripts/blog/validate-content-outline-quality.php --post=cv-parsing --category=lexikon` before content creation