How ticket sellers use AI: what it does well, what it gets wrong

Ticket sellers use AI assistants for five desk jobs: pricing a section, comparing marketplaces, reading where the supply sits, pricing a sheet of inventory, and watching for price moves. Each job comes down to a few numbers per event, and an assistant connected to current listings can pull them in one reply.

What it does well

Structured reads. Ask for the five cheapest sections at Pentatonix and a connected assistant returns a ranked table. Ask for one section and it returns the floor, the median and the depth: Floor 4 lists from $177 all-in, median $218, with 851 tickets listed. By hand, that means opening every marketplace for every section; this sample alone holds 6,083 sections across 100 events.

It also turns a rule into arithmetic. "Alert me if the lowest price moves 10% in a day" becomes two dollar lines you can check, and "price my pair at the section floor" becomes one number.

What it gets wrong

Start from the job

Pick the job, then the prompt. To price a pair, use price my tickets in one section. To see where buyers find the cheapest seats, use lowest price on each marketplace. To decide whether to cut, use how the lowest price moved this week. To spot a floor that one listing holds up, use sections where one cheap listing sets the price. Each prompt page shows a worked answer you can hold an assistant's reply against.

Prompts in this guide

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