Forty call transcripts read, and the pattern written up

What does a transcript mining pass return?

You ask the competitive question.

A companion filters the call library the way you would, by date range, deal stage and the accounts on the lost-deals list, then opens transcripts one by one and reads for the competitor mention, the pricing objection, the moment the champion went quiet.

What comes back is an evidence table: account, call, the quote itself, and where in the conversation it happened. Every line names the account and the call it came from. It is market-research work pointed at your own calls.

What happens after the reading?

The findings leave Gong. Before Thursday’s renewal call, a companion reads the account’s last three transcripts, checks your open tickets, and writes the brief into your notes. After a mining pass, the quotes go into the enablement doc, the at-risk signals into the CRM record, the summary into the follow-up loop.

On the recording side, Fireflies and Zoom are native integrations with traced tool surfaces, and many sales teams run those for their own meetings while Gong holds the team-wide corpus.

Answer what Gong alone cannot

A companion answers the question whose evidence sits in Gong’s transcripts and your ticket queue and last quarter’s pricing doc at the same time, then delivers the answer into the tool where somebody will act on it.

Gong’s own models work underneath the transcript, on the raw audio and its CRM join: talk ratios, tracker hits across every call at once, deal-risk scoring rolled up across the pipeline.

Frequently asked questions