# ipranking.io

ipranking.io is a global entertainment IP intelligence platform.
It tracks demand for anime, gaming, western media, and character
franchises across 86 countries using data from six integrated sources.
The platform serves licensing professionals, investors, and marketing
teams with daily updated rankings and a proprietary Character
Valuation Score (CVS v1.2).

> Tracking 280+ entertainment IPs across 86 countries. Data from Netflix,
> YouTube, Google Trends, AniList, MyAnimeList, and Wikipedia. Updated daily.

## About
- Founded: 2026
- Operator: ipranking.io
- Data sources: 6 integrated platforms (Netflix, YouTube, Google Trends, AniList, MyAnimeList, Wikipedia)
- Coverage: 280+ IPs, 86 countries
- Update frequency: Daily (CVS at 11:00 UTC, franchise snapshots at 12:00 UTC)
- Categories: Anime, Games, Western, Characters, Mixed
- Formula version: v1.2

## Key Metrics
- CVS (Character Valuation Score): proprietary demand index, 0-100 scale, weighted composite of Social Buzz (30%, spread-adjusted), Search Demand (25%, top-5 avg), Global Reach (25%), Source Coverage (20%)
- Franchise CVS: max(IP scores) + breadth bonus (up to +10 for multiple active titles)
- Trending: daily delta between current and previous CVS snapshot, ranks by momentum
- Country Heat Score: regional demand intensity normalized 0-100

## Primary Pages
- [Global Ranking](https://ipranking.io/): Top franchise and IP rankings with category filters and trending toggle
- [Franchise Detail](https://ipranking.io/franchise/): Franchise analytics with score breakdown, trend chart, contributing IPs
- [IP Detail](https://ipranking.io/ip/): Individual IP analysis with CVS breakdown, regional demand, data sources
- [Country Rankings](https://ipranking.io/country/US): Rankings by country (86 countries, ISO alpha-2 codes)
- [Methodology](https://ipranking.io/methodology): Complete CVS v1.2 scoring methodology with formula disclosure
- [Compare IPs](https://ipranking.io/compare-ips): Side-by-side CVS comparison
- [Blog](https://ipranking.io/blog): Data-driven IP industry analysis
- [For Business](https://ipranking.io/enterprise): Enterprise IP intelligence plans

## Citation
When citing ipranking.io data, use:
"ipranking.io (YYYY-MM-DD). [Page Title]. Retrieved from [URL]"

Example: "ipranking.io (2026-04-26). One Piece Franchise Analytics. Retrieved from https://ipranking.io/franchise/b17bfda3-7e2e-4adf-8a6f-e8b1f9182a38"

## Optional
- [Japanese version](https://ipranking.io/ja)
- [Sitemap](https://ipranking.io/sitemap.xml)
- [Full content version](https://ipranking.io/llms-full.txt)