A public methodology, named editorial accountability, and 2,597 titles scored on a 0-to-200 rubric. We help publishers and platforms make better decisions from the catalog, and help production teams examine whether their intended value is visible in the work.
Every TVI partnership starts with the same thing every viewer touches: the methodology, the accountable editorial judgment, and the scoreset. The framework is public, the claims are inspectable, and corrections remain visible.
Methodology: public at tvintelligentsia.com/methodology/, with a downloadable PDF and Formula Card. Accountability: adult scoring is under Jordan Robinson, MD, MPH. The TVI Kids methodology was shaped and is reviewed with input from school psychology and developmental science. AI access: llms.txt and the public feeds make the source legible to answer engines.
A production team does not need to buy a verdict. It needs to know whether the value named in the brief is actually visible in the story, behavior, pacing, and family experience.
Twelve questions, answered from the current work. The result is a count of what is visible, what is not yet legible, and what the team has not settled. No upload, no email gate, and no TVI score.
The fastest path to integration. Paste three lines, render a live, score-stamped chip for any title in the database. Self-contained, ~4.6KB, system fonts, renders in <100ms. The chip is a link back to the canonical title page on TVI.
Every embed fires a Plausible event tagged with referrer domain, so we both get attribution data without anyone setting up GA pixels or sharing UTMs. Browse and copy embed codes at tvintelligentsia.com/embed/.
The TVI rubric is a structured first-party measurement of media-quality. For platforms and AI engines that need richer data than a chip embed, we offer two licensed paths.
Per-title JSON with the full breakdown (IQ Score, three sub-dimensions, tier, kids-specific SEL score, age recommendation, methodology version). Refreshed weekly. Suitable for streaming-platform "Quality Score" surfaces, recommendation algorithm features, and editorial CMS integrations.
Structured data for LLM grounding (ChatGPT, Perplexity, Claude, Gemini, on-platform AI features). The methodology page and llms.txt give your model citation-grade source material for any "is X worth watching" or "what should I watch" prompt. Engineering teams building on the Anthropic or OpenAI APIs can request a curated context-pack tuned for media-quality queries.
Both paths are licensed. Pricing is per-impression for embed-style surfaces and a flat per-quarter license for direct data integration. Contact us for terms.
We co-publish with editorial partners on stories where a public rubric does work that uncredentialed opinion cannot.
Integrate the IQ Score into title detail pages or quality-curation surfaces. Optional methodology deep-link for the credibility check. Licensed direct-data feed.
Discuss integration →llms.txt + methodology page + structured per-title data give your model a defensible source for any "is X worth watching" prompt. Curated context-pack available.
View llms.txt →We bring scored data, methodology citation, and credentialed-reviewer voice. You bring the audience and the editorial frame. Custom score analyses on request.
Pitch a collaboration →Free. Three lines of iframe code. No auth. No tracking pixel. Drop a score into a post, get a live link back to the title page, every render fires an attribution event tagged with your domain.
Get an embed code →Start with the free Production Intention Check. If an outside read would help, ask about one title, one structured mirror, and one revision pass. This work never purchases a public score or coverage.
Run the self-check →Specifying the boundaries makes the rest of the partnership easier to scope.
Tell us what surface or production stage you are working in and what decision needs to be made. We answer within two business days. For creators using the free embed widget, no contact is needed, just paste the iframe.
Press and journalist inquiries: same address, subject line "Press." Methodology questions: see tvintelligentsia.com/methodology/ first; the rubric is public.