ChatGPT Plugin

CineSenseAI

Films by mood, age and content

Brand: CineSenseAI

Category: Consumer & Lifestyle
Primary Subcategory: Movie & TV Recommendation & Where-to-Watch

Integration details

Description

CineSenseAI tells you what a film or series is like before you watch it. For every title it gives an age rating with the reason (what exactly is in it), mood words — tone, pace, humour, how demanding it is — the main thing that might bother you, and a score built from open, measured parameters. Ask in your own words: "a funny, warm film for a 7-year-old, like Paddington 2, nothing scary", "a horror that is actually scary but without gore", "is Oppenheimer slow or violent?". The assistant searches the CineSenseAI catalogue by genre, country, years, age, tags and our analysis axes, finds titles similar in feel to one you name, and explains each result with its age reason and mood. Without an account you can search and look up titles (a small daily allowance). Sign in with your CineSenseAI account to rate titles, skip what you have already seen, and use your irritant levels and personal tags. Every result links to its page on cinesenseai.com.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Consumer & Lifestyle
Primary Subcategory: Movie & TV Recommendation & Where-to-Watch
Secondary Subcategories: None listed
Brand: CineSenseAI
Access: Account optional
First tracked: 2026-10-28
Tool count: 13
Market: US

Agent DiscoverabilityChatGPT Plugin Discovery Score

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Primary Subcategory

Competing in ChatGPT Movie & TV Recommendation & Where-to-Watch

View Category

Listed in alphabetical order

Primary Subcategory

anyVideoComing soonGet notified

CinemôComing soonGet notified

CineSenseAIComing soonGet notified

FilmEaseComing soonGet notified

FlixorComing soonGet notified

Tools

13 tools agents can invoke

Subscribers: analyse your ratings now into suggested personal tags (save them with save_taste_tags, or give them to an existing tag with update_personal_tag).
run_taste_analysis
One film or series by name or id: its door (age with reason, mood, main irritant, score) and full breakdown; a series' seasons for subscribers. A name that fits several titles gives a short list of candidates.
find_title
Your account: latest ratings, irritants, personal tags, own profiles and the last taste analysis.
get_my_taste
The ready-made taste profiles (curated selections), each with its slug for profile_titles, its title count and, where it has one, a short description.
list_profiles
Subscribers: a personal tag from titles you name — at once with single=true and a name, otherwise suggested tags that split them (save with save_tags_from_titles, or give them to an existing tag with update_personal_tag).
tag_from_titles
Set the user's rating of a title, given by name or id (like, dislike or a score 1–10), and its saved mark. A name that fits several titles is refused with the candidates' ids. Removing is remove_rating.
rate_title
Deletes the user's rating of a title, given by name or id, and its saved mark (what=both), or only one of them. The user's own data, gone for good. A name that fits several titles is refused with the candidates' ids.
remove_rating
Subscribers: replaces the titles of one of your existing personal tags with the titles of a suggestion (the old ones are dropped, the tag keeps its name). Make a new tag with save_taste_tags or save_tags_from_titles.
update_personal_tag
Subscribers: save suggestions of your taste analysis as new personal tags, each with a profile of its own.
save_taste_tags
Subscribers: save suggestions of tag_from_titles as new personal tags.
save_tags_from_titles
Films and series by genre, country, years, age rating, score, tags, our analysis axes and irritant ranges, or similar to one title. Each result carries its door. Read `notes` first: they say what was not understood and what to loosen after an empty answer. Personal options need the user's sign-in (stated per parameter).
search_titles
Subscribers: set from which level a title is hidden for you, per irritant.
set_irritant_levels
The titles of one ready-made profile (slug from list_profiles), each with its door.
profile_titles

FAQs

CineSenseAI ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve CineSenseAI's ChatGPT Plugin discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are CineSenseAI alternatives on ChatGPT?

As of 2026-10-28, CineSenseAI competes with anyVideo, Cinemô, FilmEase, Flixor, KinElo, Movie Find: Film Lookup+Search, Movie Pick, MusicAtlas and 5 more in ChatGPT Movie & TV Recommendation & Where-to-Watch, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.