Introducing AI-assisted catalog drafting
Introducing AI-assisted catalog drafting
Cataloguing is the most expensive bottleneck in a modern auction pipeline. A single painting takes a specialist ~45 minutes of research, writing, and comparable-lookup before it's ready for the sale page. Multiply that by 400 lots per sale and you see why Q4 always slips.
We've been quietly beta-testing AI-assisted drafting with four Auction Rabbit clients since November. Today we're making it generally available.
How it works
- Upload the photoset and any consignor-supplied notes.
- The model pulls comparables from your own past sales (plus public benchmarks if you opt in) and generates a structured draft:
- Lot description (in your house voice — trained from your last 1,000 catalogue entries)
- Dimensions + medium extraction from EXIF + vision pass
- Estimate band (low / high / reserve suggestion)
- Condition report skeleton with flagged areas
- Marketing long-copy and social snippets
- Your specialist reviews and edits. Everything remains a draft until a human approves it.
Safety rails
- The model cannot publish a lot. Every draft is reviewed.
- All training uses your data, stays in your tenant, and is never shared with other houses.
- Provenance fields are never auto-filled — those require source documents.
Early numbers
Across 3,200 drafts reviewed so far, specialists kept ≥80% of the generated description in 71% of cases, accepted the suggested estimate band in 58%, and cut per-lot cataloguing time by 64%.