Frequently Asked Questions

ipranking.io is a global entertainment IP demand intelligence platform. We compare anime, gaming, and character IPs across 86 markets using currently observed public demand signals, and publish the Cultural Velocity Score (CVS) : a transparent composite metric that quantifies IP demand on a 0-100 scale.

ipranking.io is maintained by an operations team with practical anime IP licensing experience. For press, research, or partnership questions, contact hello@ipranking.io.

Yes. The dashboard, rankings, and weekly data briefs are free to access. Open Data files explicitly listed on /data are published under CC BY 4.0 for research, journalism, and analysis with attribution.

ipranking.io is independently operated. Revenue comes from premium enterprise plans for studios, licensors, and investment firms that need custom analytics, data exports, and API access.

Yes. Open Data files listed on /data include downloadable CSV and JSON datasets such as selected ranking, country heat, and IP catalog exports under CC BY 4.0. We believe IP demand data should be transparent and accessible.

CVS (Cultural Velocity Score) is a weighted composite of four dimensions: Search Intensity & Geographic Spread (30%), Search Demand (25%), Observed Market Coverage (25%), and Source Coverage (20%). Each dimension is normalized to 0-100, then combined into a single score. The formula is fully documented.

Search Intensity & Geographic Spread measures real-time consumer attention through Google Trends search interest data across tracked countries. It captures how much an IP is being actively searched for at any given time.

Search Demand measures active discovery behavior through the Google Trends top-5 market average. YouTube is limited historical context, not the primary current Search Demand driver.

Observed Market Coverage measures geographic penetration : the number of countries where an IP has measurable data. An IP trending in 60 countries scores higher than one trending in 10.

Source Coverage measures cross-platform presence across eligible public signal-source categories. It only represents currently eligible source evidence, not every historical row or every provider listed in older materials.

86 markets represent the intersection of Google Trends coverage and meaningful entertainment market activity. Source coverage varies by provider, so Netflix, Google Trends, and limited-market YouTube coverage should not be conflated with the 86-market CVS scope.

IP Ranking tracks public signal-source categories such as Google Trends, AniList, Netflix, MyAnimeList, and Wikipedia. Source status and freshness are documented in the Methodology because availability varies by provider and over time.

Source signals refresh on different schedules. CVS scores are recomputed daily at 11:00 UTC, franchise snapshots are generated daily at 12:00 UTC, and rankings reflect the latest available visible snapshot.

When a data source has no data for an IP, that dimension receives a zero contribution rather than being imputed. This means IPs with broader coverage naturally score higher, which we consider a valid signal of demand breadth. Franchises without currently eligible data are temporarily excluded from current rankings rather than displayed as zero-point entries.

Franchise CVS aggregates individual title scores within a franchise. The formula is: MAX(title CVS) + MIN(10, active_titles × 2). This rewards franchises with a strong flagship title and multiple active entries.

Historical and active source families include Google Trends, Netflix, YouTube, Wikimedia, AniList, and MyAnimeList. Current eligible sources and freshness vary by provider and are documented in the Methodology. Accuracy is bounded by what each source reports, and Google Trends provides relative rather than absolute volumes.

Key limitations: (1) No Chinese market data : Bilibili, Weibo, and Douyin are not integrated. (2) Google Trends provides relative interest, not absolute search volume. (3) Netflix only reflects its own catalog. (4) Community platforms (AniList/MAL) skew toward anime. These are documented in our methodology.

CVS is designed to be directionally useful for relative comparisons. A substantially higher CVS generally indicates broader, stronger observed demand signals. However, small differences may not be meaningful; treat close scores as roughly equivalent.

We cross-reference multiple eligible sources where available. Agreement across currently eligible source categories increases confidence, and verified industry data points are used to sanity-check rankings where appropriate.

China is the largest gap in our coverage. We do not currently integrate Bilibili, Weibo, Douyin, or iQiyi data. IPs with strong Chinese demand (e.g., certain donghua titles) will be underrepresented in CVS. Adding Chinese sources is a priority.

Yes. We track gaming IPs including Pokémon, Genshin Impact, Zelda, Mario, Final Fantasy, and others. Gaming IPs are measured through the same CVS source-eligibility framework as anime IPs.

Yes. We track character brands like Hello Kitty, Kumamon, Labubu, and others classified as Type C (Original IP). These are measured through search interest, Wikipedia awareness, and platform presence.

Yes. Open Data files listed on /data can be used commercially with attribution to ipranking.io. Private data access, website content, raw third-party source data, and third-party media assets are not automatically covered by that Open Data license.

Plain text: 'ipranking.io. (2026). "Global Entertainment IP Demand Intelligence". ipranking.io.' We also provide APA, MLA, and BibTeX citation formats on our press kit page.

API access is not generally available. Private beta and partner access are reviewed case-by-case for scoped research or enterprise workflows.

Yes. We publish three datasets: Top 20 CVS rankings, country heat scores, and the full IP catalog. Available in CSV and JSON formats at /data.

Not yet. Embeddable widgets are on our roadmap. For now, cite or link to charts normally; the CC BY 4.0 license applies only to Open Data files explicitly listed on /data.

Parrot Analytics measures demand at the content title level (e.g., 'Attack on Titan Season 4'). ipranking.io measures demand at the IP level (e.g., 'Attack on Titan' as a franchise). We also differ in transparency: our methodology and data are fully open, while Parrot Analytics uses proprietary scoring.

AniTrendz tracks weekly community polls and seasonal anime rankings. ipranking.io aggregates currently observed public demand signals across 86 markets, covering not just seasonal anime but all-time franchises, gaming IPs, and character brands.

Google Trends is one important input, but IP Ranking is designed to combine multiple source families over time. Current production eligibility varies by source status and freshness; the Methodology page documents which sources are currently eligible.

Netflix Top 10 only covers Netflix's own catalog and reflects streaming behavior. An IP like Pokémon has massive global demand but minimal Netflix presence. CVS captures demand across all platforms, not just one.

The frontend is built with Next.js 14 (App Router) and Tailwind CSS, hosted on Vercel. Data is stored in Supabase (PostgreSQL). Pipelines are Python and TypeScript scripts running on cron schedules. AI assistance is provided by Claude.

All data is stored in Supabase (managed PostgreSQL). The database includes tables for IPs, signal readings, CVS scores, country heat data, articles, and external facts. Infrastructure is hosted in the US.

Pages use Incremental Static Regeneration (ISR) with a 5-minute revalidation window. Source signals refresh on different schedules; CVS scores are recomputed daily at 11:00 UTC and franchise snapshots are generated daily at 12:00 UTC.

The codebase is not currently open source. We document methodology publicly and publish explicitly listed Open Data files under CC BY 4.0.

The Weekly Brief archive contains previously published IP movement notes and CVS context. It is an archive surface; check the brief date before treating a note as current.

Insights are longer analytical articles exploring specific topics: franchise comparisons, regional demand patterns, market analysis, and methodology deep-dives. Each article includes sourced facts and citation formats.

The Glossary defines key terms used across ipranking.io : from 'CVS' and 'Search Intensity & Geographic Spread' to industry terms like 'media mix' and 'character licensing'. Available in English and Japanese.

Articles are based on our own data (CVS scores, signal readings, country heat maps) combined with verified external facts from our curated fact database. All referenced data points link back to primary or clearly labeled secondary sources.