CineOS is the AI-native marketing and intelligence system for moviegoing. From measuring how generative AI engines surfaces films, to showing distributors and exhibitors where their campaigns are invisible or misrepresented and fixes the gaps.

Audiences increasingly ask an AI assistant what to watch rather than searching and clicking. The engine returns an answer, not a list of links. If it does not know your film (or cinema, campaigns), names a different one, or repeats a stale information, the campaign spend never reaches the person asking, and nothing in a traditional analytics stack tells you it happened.

ChatGPT, Claude, Gemini, Perplexity, Microsoft Copilot and Google AI Overviews. Each is measured separately, per market and per question, because they disagree with each other far more often than people expect.

No. Every result comes from a live call to the engine's own API: no login, no scraping, and each run is geo- and language-locked to the market the film is releasing in. Raw model output is stored exactly as returned and timestamped, never paraphrased.

They are the two lenses we score separately. Awareness (non-branded) asks whether an engine surfaces your film to someone who does not know it exists yet, like “what should I see this weekend?”, “Must-see films this November”. Intent (branded) asks whether it names or suggests your film correctly when asked about it directly. A film can score well on one and badly on the other, and the fix is different in each case.

SEO optimises for a ranked list of links. There is no list here, there is one answer, and either your film is in it or it is not. The inputs differ too: engines weight structured data, official hubs and cite third-party sources rather than keywords, and they can be confidently wrong in ways a search ranking never is.

Both. Every audit gives a prioritised action plan rather than a scorecard: what to change on the hub, the content strategy, and the structured data so engines can read the campaign. On managed engagements we make those changes ourselves.

Platform access and a live report per film and per market, with a blended headline score per engine, an interactive matrix of the raw AI responses behind every score, the citations engines relied on, a release-window competitor view, and a prioritised actions plan. Where ongoing monitoring is contracted, the report also tracks movement week on week.

Live today: the UK and Ireland, Domestic (US and Canada), and Australia and New Zealand. In development: France, Germany, Italy, Spain, Mexico, Brazil, Japan and South Korea. Every audit is run per film per market, geo- and language-locked to that territory. Additional markets are available on request and subject to development scope. China is out of scope.

It depends on strategy per-title, content, trailer launches, announcements. It is a good practice to start monitoring the campaign from the first trailer launch and across key beats of the campaign. This can range from 4 to 6 (or more) months out.

Establishing the baseline and setting up recurring process happens within a day, all subject to timelines aligning on strategy, KPIs, prompt and audience segments.

There is no published price. Every engagement is quoted individually and scoped by the number of titles, the tracking period, a one-off snapshot or ongoing monitoring through the campaign window, and the markets in scope.

Film studios, distributors, exhibitors, cinema industry bodies and their agencies. It is a business service, so sign-up requires a company email address; we cannot accept requests from personal addresses.

Yes. Findings, reports and anything you share with us are treated as confidential under our Terms, and client reports are access-controlled rather than public by default. We may use anonymised, aggregated data to improve the methodology, but never in a form that identifies a client or a title.

Licensed data partners.

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