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Comparison · VoxRefine vs Covideo

Covideo uses AI avatars.
VoxRefine keeps your actual salesperson on screen.

Covideo has been the dealership video standard for over 20 years and is now rolling out generative AI avatars — synthetic faces that read a scripted message. VoxRefine takes a different approach: your actual salesperson stays on screen, and AI generates only the personalized audio segments. Two different bets on what dealership customers want from automated video. This page lays out where each approach fits.

Written by VoxRefine · Last reviewed April 18, 2026 · We compare on customer-facing experience and workflow fit, not on brand weight or list price.

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At a glance

Both platforms help dealerships send videos to customers at scale. They get there different ways.

Manual record

Covideo core product: Your salesperson records each outbound video. Designed for personal, ad-hoc messages between one rep and one lead.

AI avatar

Covideo AI: Generative AI produces a synthetic on-screen face that reads a scripted message. No recording step required.

Real face, cloned voice

VoxRefine: Your actual salesperson on screen. AI generates only the personalized audio (name, vehicle, appointment time) from a one-time recording.

Side-by-side: what the customer sees

Factual comparison of the customer-facing experience in each approach. Both have tradeoffs.

VoxRefine
  • On-screen face is the actual team member the customer will meet
  • AI generates only the audio; video footage is unmodified
  • No synthetic avatar or deepfake-style rendering
  • Requires one initial recording per team member being cloned
  • One recording produces thousands of personalized videos per hour
  • Face continuity from outreach through in-store handshake
AICovideo AI avatars
  • On-screen face is a generated avatar, not a member of your staff
  • Both video and audio are AI-generated from a text prompt
  • No recording step required to produce a video
  • Supports any language or script without re-recording
  • Generated face is different from the person the customer meets in-store
  • For non-AI videos, manual recording workflow still applies

Feature-by-feature comparison

Specific attributes of each approach, for quick reference.

FeatureVoxRefineCovideo (manual)Covideo AI avatar
On-screen faceActual salespersonActual salespersonAI-generated avatar
Recording step requiredOne 60–90 sec recording per person, onceYes — for every outbound videoNo recording step
Per-customer personalization (name, vehicle, time)Auto-generated from CRM dataManual, mentioned by the salespersonScripted per lead
Throughput10,000+ videos per hourLimited by rep's recording timeHigh — generation in seconds
Face continuity (video → in-store)Same personSame personAvatar is not a staff member
Best fitAutomated volume sends where face continuity mattersAd-hoc messages from a specific rep to a specific leadQuick scripted messages where face is less critical

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When Covideo is the better fit — and when VoxRefine is

Covideo and VoxRefine aren't always direct replacements. Each is optimized for a different kind of send. We're naming Covideo's wins explicitly.

1

Covideo fits best when…

The video is an ad-hoc, personal message from a specific salesperson to a specific lead — a walkaround, a thank-you, a customized reply. Manual recording is the right workflow for that volume and intent.

2

Covideo AI fits when…

Speed matters more than face continuity — quick announcements, service explainers, any message where the on-screen persona isn't the deciding factor in the relationship.

3

VoxRefine fits when…

Volume and continuity both matter — automated appointment confirmations, no-show follow-ups, service reminders, equity mining. Situations where the customer should meet the same person in-store that they saw in the video, at a volume no human can manually record.

Questions dealers evaluating both tools ask

What's the functional difference between VoxRefine and Covideo's AI video?

Covideo's generative AI video tools produce a synthetic avatar — a generated face that reads a scripted message. VoxRefine keeps your actual salesperson on screen and uses AI only for the personalized audio segments (names, vehicles, appointment times). Different bets on which part of the video should be AI-generated.

What's the tradeoff between AI avatars and real faces?

AI avatars let you generate a video in seconds with no recording step — a real benefit when the person isn't available or when the face isn't central to the message. The tradeoff is that the customer sees a generated persona rather than the staff member they'll meet in person. Real-face approaches require an initial recording from each team member but preserve face continuity from outreach to handshake. Both can work; they optimize for different outcomes.

Can a dealership use both Covideo and VoxRefine?

Yes. The two tools solve different problems. Covideo's manual-record workflow is designed for ad-hoc, salesperson-to-specific-lead messages. VoxRefine is designed for automated, volume sends — appointment confirmations, no-show follow-ups, service reminders, equity mining — where recording each video individually isn't practical.

How do the two approaches compare on scale?

Covideo scales the distribution of videos your salesperson recorded — sending, tracking, analytics. VoxRefine scales the creation of personalized videos from one source recording: 10,000+ videos per hour across a distributed GPU cluster. Covideo's ceiling is human recording time; VoxRefine's ceiling is compute.

Does VoxRefine work with the same CRMs Covideo does?

Yes — and then some. VoxRefine works with whatever CRM your BDC already uses (CDK, Reynolds & Reynolds, Dealertrack, VinSolutions, DriveCentric, or anything else), capturing the lead data from your existing workflow. Most rooftops are live within 48 hours with no integration project, no vendor-side sign-off, and no IT ticket.

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