AI chatbot for Vimeography: video galleries, lookups, and timestamps
SleekAI maps the vimeography_gallery post type and the cached Vimeo video metadata into the chatbot prompt, so visitors can ask for the tutorial covering a topic and get the right title with a deep link. Bring your own provider key.
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Visitors want one video, not a wall of thumbnails
Vimeography is great at displaying a curated Vimeo gallery, but galleries hit a wall once the video count climbs past a dozen. Visitors land on the page wanting the segment where you discuss pricing or the lesson on importing CSV files, and they end up scrubbing thumbnails or guessing from short titles. Most leave without watching.
SleekAI maps the vimeography_gallery custom post type, the wp_vimeography_gallery_meta table where the plugin stores per-gallery configuration, and the cached Vimeo API metadata for each video including title, description, duration, and tags. With those in the prompt, the chatbot can recommend the right video by topic, quote its length, and link straight to it instead of returning the visitor to the same grid they were already staring at.
For larger libraries, the gallery's full transcript or description set can be pushed into an OpenAI Files vector store of up to one gigabyte per file. The bot retrieves the most relevant videos by meaning, so a question about cancelling a subscription finds the right tutorial even if the title says billing settings instead.
Workflow
How SleekAI plugs into Vimeography
Map the gallery
Scope the widget
Add retrieval for large libraries
Review the logs
Try it now
A typical Vimeography conversation
Comparison
Generic chatbot vs SleekAI for Vimeography
Generic chatbot
- Cannot read the vimeography_gallery post type or its meta
- Misses cached Vimeo titles, descriptions, durations, and tags
- Cannot point visitors at a specific video by topic
- Treats the gallery as opaque, so answers stay generic
- No way to retrieve from large video libraries by meaning
SleekAI chatbot
-
Reads the
vimeography_gallerypost type live -
Joins
wp_vimeography_gallery_metafor per-gallery config - Quotes cached Vimeo titles, durations, and tag lists
- OpenAI Files vector DB for large transcript collections
- Scopes a chatbot to a single gallery template
Features
What SleekAI gives you for Vimeography
Topic to video
The cached Vimeo metadata for every gallery video flows into the prompt, so visitors can ask by topic and get a real recommendation with the title, duration, and deep link in one chat reply.
Length and totals
The bot can quote individual video lengths and sum a playlist's total runtime. Useful for course onboarding pages where visitors want to know how long the full series takes before clicking play.
Semantic retrieval
Push titles, descriptions, and transcripts into an OpenAI Files vector store of up to one gigabyte per file. The chatbot finds the right video by meaning, even if the visitor's query and the video title use different words.
Use cases
Where Vimeography sites use SleekAI
Tutorial libraries
Software docs sites with a video tutorial gallery use the bot as a guide that points each visitor at the lesson that solves their actual question.
Portfolio galleries
Filmmaker and agency galleries use the bot to surface the right case study video by industry, style, or production scale rather than making prospects scroll.
Course libraries
Course pages with multiple modules use the bot to recommend the right module based on the visitor's stated goal, with runtime totals included.
The bigger picture
Why gallery-aware AI matters for Vimeography
A video gallery is only as good as a visitor's ability to find the one video they actually need. Vimeography handles the display side well, but the discovery problem grows with every new upload. Past a dozen videos, the average visitor stops browsing and starts hoping the search box is smart, which it usually is not.
A chatbot that reads the cached Vimeo metadata closes that gap. Visitors describe their goal, the bot returns the right title with duration, and the visitor lands on the video instead of bouncing. The same approach unlocks playlist totals for onboarding pages, topic-based discovery for portfolios, and module recommendations for course libraries.
For galleries that have grown past the point where everything fits in a single prompt, the vector retrieval layer keeps recommendations sharp even as the catalog scales. The log of conversations is its own product manager: the topics visitors ask about most are the next videos to record, and the questions the bot cannot answer well are the ones worth captioning or describing more clearly. Discovery stops being a search-box problem and becomes a conversation.
Questions
Common questions about SleekAI for Vimeography
No. Vimeography already caches the Vimeo metadata for each gallery video into WordPress. SleekAI reads from that cache, so the chatbot does not need its own Vimeo credentials and stays in sync with whatever the plugin already pulled in.
 Yes. Each cached video has its Vimeo URL exposed, and the bot can drop a link in chat. For galleries that play in a lightbox, the same URL works for direct playback if the visitor opens it in a new tab.
 Yes. Duration is part of the cached Vimeo metadata. The bot can quote individual lengths and sum them across the gallery for total runtime, which is helpful on onboarding or course pages where visitors plan time around the watch.
 Yes. For larger libraries, push titles, descriptions, and transcripts where you have them into an OpenAI Files vector store of up to one gigabyte per file. The chatbot retrieves the most relevant videos by meaning rather than keyword.
 Yes. Display conditions can scope a chatbot to a single gallery template, a specific gallery slug, or a parent page. A tutorials chatbot can run alongside a portfolio chatbot with different prompts and different video subsets.
 Only if Vimeography itself can render them. SleekAI reads what the plugin caches, so visibility follows the gallery configuration. The bot will not surface a private video to a visitor whose role does not have access to the gallery itself.
 OpenAI, Anthropic, Google, and OpenRouter on a key you own. Topic-to-video recommendations work well with cheap fast models. Stronger models help when the chatbot is also explaining the topic in detail before pointing at the video.
 Inside WordPress with the model name, token usage, and originating gallery page. The log makes it easy to see which video topics are most requested, which often surfaces gaps in the gallery worth recording a new video for.
 Pricing
More than 1000+
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