Intelligence & Research
competitor-matrix
Auto-generate B2B SaaS competitor comparison matrices. Pulls each competitor's homepage + pricing → side-by-side HTML.
Launch kit
competitor-matrix — launch kit
1-liner
Auto-generate B2B SaaS competitor comparison matrices. Pulls each competitor's homepage + pricing → side-by-side HTML.
Tweet hook
Marketers spend 2-4 weeks building "X vs Y" comparison pages. Massive SEO traffic; almost no one ships them at scale.
Built a generator: CSV of competitors in, comparison HTML out. 1 hour per matrix. Refreshes weekly.
🧵
- r/SEO: "Auto-generated comparison pages — pattern + risk"
- r/marketing
Cold-email ICP
B2B SaaS marketing teams + comparison-content sites.
Cold-email template
Subject: 10 comparison pages by Friday
Hi {first} — comparison-page traffic is some of the highest-intent SEO.
Most teams ship 1-2 instead of 10-20 because each takes 1-2 weeks.
Built a generator: CSV of competitors in, side-by-side matrix HTML out.
~1 hour per matrix. Auto-refresh weekly.
DIY MIT; DFY $99-1999/mo. Free first 5 matrices.
SEO content
- "Comparison-page SEO playbook 2026"
- "Avoiding G2-clone penalties on comparison content"
Documentation
competitor-matrix
Auto-generate B2B SaaS competitor comparison matrices. Pulls each competitor's pricing + features from their website, Qwen normalizes, emits a side-by-side HTML/CSV table.
Use cases
- Marketing teams maintaining "X vs Y" pages (massive SEO traffic potential)
- Product teams running competitive intel
- VC analysts evaluating crowded markets
Pricing
- $99 per snapshot (5-10 competitors)
- $499/mo subscription (refresh weekly, monitor for changes)
- $1,999/mo agency tier (multi-product, white-label)
Run
cd C:\openclaw-products\competitor-matrix
python -m venv .venv
.\.venv\Scripts\activate
pip install -e .
# CSV: name,homepage_url,pricing_url
matrix build --csv-file competitors.csv --out matrix.html
Roadmap
- Schedule weekly refresh; diff vs last week
- Slack / email alerts on price changes
- SVG export for blog-post embedding
- G2/Capterra rating integration