AI Chatbot for Demo Replay: Serve Recordings by Interest
SleekAI reads your demo recordings custom post type, chapter timestamps, and feature tags, then serves the right 90-second clip to the visitor's question. No calendar dance, no full 45-minute replay. Bring your own OpenAI, Anthropic, Google, or OpenRouter API key.
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Skip the 45-minute replay, serve the right clip
The standard B2B demo flow is broken at the top. A prospect lands on the homepage, sees 'Book a demo,' picks a slot two weeks out, and either ghosts or sits through 45 minutes of generic walkthrough to find the one feature they care about. Recorded demos help, but only if the visitor knows which 90-second segment matters to them. Most do not.
SleekAI reads your demo_recording CPT, the chapter timestamps stored in ACF as a repeater (with start, end, and topic), and feature tags from your feature_tag taxonomy. When a visitor asks 'show me how reporting works for multi-brand setups,' the bot finds the segment titled 'Multi-brand reporting' in the latest enterprise demo, replies with a chaptered video link that jumps to the right timestamp, and offers to send the full replay by email if they want context.
Generic chatbots either link to a single hero video or ask the visitor to fill in a form. SleekAI grounds the answer in your real WordPress data and the recordings you already host (Vimeo, Wistia, Mux, or a local MP4). The visitor watches 90 seconds of exactly the feature they asked about, the AE gets a chat transcript that shows intent, and your sales team books fewer demos that should have been a doc page.
Workflow
From hero video to feature-level replays
Catalogue your demos
demo_recording CPT with the canonical URL, recorded date, product version, and a chapter list in an ACF repeater. Keep the list to clean topic labels so the model can match them.
Tag features
Configure the bot
Hand off to sales
Try it now
A typical demo replay conversation
Comparison
Generic chatbot vs SleekAI for demo replay
Generic chatbot
- Links to a single hero video regardless of question
- Ignores chapter timestamps and feature tags
- Forces the visitor to book a live demo to see the feature
- Cannot email a deep-linked replay segment
- Has no way to flag interest patterns for sales
SleekAI chatbot
-
Reads your
demo_recordingCPT and chapter ACF fields - Returns deep-linked timestamps like /demos/enterprise/#t=14m22s
-
Matches on the
feature_tagtaxonomy automatically - Emails the chaptered replay link with one user confirm
- Logs interest patterns to your CRM for sales handoff
Features
What SleekAI gives you for Demo Replay Chatbot
Chapter-aware deep linking
Chapters stored in ACF as start, end, and topic become structured variables. The bot picks the right one based on the question and replies with a timestamped URL the player jumps to on click.
Feature-tag matching
Your existing feature taxonomy maps the visitor's prose to the right segment, even when their wording does not match yours. 'Multi-brand reporting' surfaces from a query about 'separating dashboards by client.'
Email a chaptered replay
When a prospect wants to share with a buying committee, the bot captures email and sends a chaptered replay link plus the two or three timestamps that mattered most in the conversation.
Use cases
How sales teams use a replay chatbot
Pre-call qualification
Visitors self-serve a 5-minute replay before they book. Live demos are reserved for prospects who already know what they want to see in depth, which lifts demo-to-deal conversion.
Buying-committee enablement
The bot emails a tailored chaptered replay to a CFO or platform lead the day before the live call, so the committee arrives already aligned on what the platform can do.
ABM warming
Named-account visitors get a bot scoped to their industry's demo. Logs reveal which features each account is digging into, and the AE personalises the next outreach.
The bigger picture
Why demo-replay chat beats a calendar widget
B2B demand has shifted toward self-serve evaluation. Surveys from analyst firms over the last three years show that buyers want to see a product in motion before they talk to a human, and that calendar widgets are a high source of friction. A demo-replay chatbot collapses 45 minutes of generic content into 90 seconds of exactly the feature the visitor asked about.
The win flows in two directions. Visitors get to the proof faster. Sales teams stop running discovery calls that should have been a clip, and the live demos that do happen are higher-quality because the prospect arrives already aligned.
There is a downstream data benefit. Every chat is a labelled intent signal. When a named account asks for multi-brand reporting and role-based access on the same visit, that pattern is more valuable than any form submission.
The CRM lights up with structured interest, the AE writes a relevant outreach email, and the next call starts in second gear instead of first. The bot is not a replacement for human sales. It is a triage layer that lets humans show up where they actually move the deal.
Questions
Common questions about SleekAI for Demo Replay Chatbot
Anywhere with a public or signed URL plus timestamp support: Vimeo, Wistia, Mux, YouTube Unlisted, or a self-hosted MP4. SleekAI stores the canonical URL and chapter list in the demo_recording CPT (any name works) and constructs the deep link at runtime. The bot reads from WordPress, not the video host's API.
The system prompt forbids inventing chapters or timestamps. If no segment matches, the bot says 'we do not have a recorded segment for that feature yet, but I can connect you with a live walkthrough' and offers a calendar link. This stops the worst failure mode (made-up timestamps) and turns the gap into a qualified meeting.
Yes. Display conditions and the system prompt can both scope which recordings the bot can serve. A logged-in customer might get internal product-update replays. A prospect on /enterprise/ gets the enterprise demo set. Multibot makes scoping a config change rather than a custom build.
ACF repeater fields with start (mm:ss), end, and topic columns make chapters maintainable in the WordPress editor. You can also import chapters from a CSV or YouTube description. The bot only sees what is in WordPress, so a clean chapter list translates directly to clean answers.
No. Live transcription of video at inference time is expensive and unreliable. The expected workflow is: transcribe once (Whisper, Rev, or Otter), paste the cleaned transcript into a description or transcript field on the recording, and let the bot ground its answers in the chapter list plus that transcript. This stays under control on cost and accuracy.
Yes. If the chapter has a transcript or description, the bot can answer 'does this also work for monthly cohorts' from the transcript text, then point back to the chapter for confirmation. If the question goes deeper than the transcript, the bot offers a live call rather than guessing, and logs the interest for the AE.
ACF fields like recorded_at and product_version drive selection. The system prompt prefers the most recent recording for a given feature unless the visitor asks for a historical version (e.g. 'how did dashboards work in 2025'). The bot will name the recording date and version in its reply so the prospect knows.
Two things. Demos that should have been a clip become a clip, lifting sales-engineer time per deal. And replays that get watched leave a chat transcript with feature intent, which lands in your CRM. AEs walk into live calls already knowing what the buyer is interested in, instead of guessing from a 'request a demo' form.
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