About

Layer is an agentic GTM performance platform that helps revenue teams ramp faster, improve execution, and increase performance across every customer interaction.

Layer pairs each GTM team member with an AI agent trained on the company’s context, playbooks, customer conversations, product knowledge, and operating processes. These agents support the full GTM workflow: onboarding, coaching, roleplay, pre-call preparation, live assistance, post-call follow-up, and continuous performance improvement.

For leaders, Layer provides a control plane to define what great looks like, codify playbooks, monitor execution, and ensure best practice is consistently applied across the team.

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Features

Import Calls from Gong
Layer connects to Gong to surface trends from customer calls — including emerging buyer questions, competitive mentions, and shifting objection patterns — and incorporates them directly into training and onboarding programs, ensuring content stays aligned with what reps will actually encounter in the field.

Benefits

Faster Ramp and Readiness
Layer uses Gong conversations to help new hires understand real customers faster. By turning call recordings and transcripts into coaching, roleplay, preparation, and feedback, Layer helps team members build confidence before high-stakes customer conversations.

Better Call Preparation
Layer connects Gong call history with company context, playbooks, CRM data, and customer signals so sellers can prepare with relevant account context, past conversation insights, likely objections, and recommended next steps before every meeting.

Stronger Live Execution
Layer helps GTM team members apply the company’s best practices during customer interactions. Gong data informs the agent’s understanding of messaging, objections, competitors, buyer questions, and deal patterns, improving the quality and consistency of live execution.

Automated Post-Call Follow-Up
Layer uses Gong transcripts and call evidence to generate seller-ready follow-up drafts, CRM-ready next steps, internal recaps, and proposed calendar actions. This reduces admin work while keeping customer-facing actions draft-based or approval-based.

FAQ

No. Layer and Gong are complementary. Gong captures and analyses customer conversations. Layer uses Gong conversations as part of its context layer to power AI agents that help GTM teams prepare, practise, perform, follow up, and improve. Gong remains the system of record for conversation intelligence; Layer turns that conversation context into agentic workflows across the GTM team.

Layer accesses Gong data authorised by the customer, which may include call recordings, transcripts, call metadata, participants, speakers, topics, trackers, keywords, objections, competitive mentions, and follow-up signals. Access depends on the customer’s Gong permissions, API access, and consented scopes.

Layer uses Gong data to train and inform each user’s AI agent. This supports call preparation, coaching, roleplay. Gong conversations help Layer understand what is actually happening in customer interactions, so agents stay grounded in real field evidence.

No, we do not train our models on your data.  Your data is used to inform and improve your agents but only your agents. 

Integration Diagrams

Gong captures what's happening in customer conversations. Layer helps teams train on what to do about it. The integration keeps training programs dynamically updated based on real field data rather than static enablement content. Gong call insights feed into Layer training content, so reps arrive field-ready, and Gong then measures their live performance.
Data

Call Insights & Conversations

Call Insights & Conversations

Layer
Layer
Data

Training Content & Onboarding Programs

Training Content & Onboarding Programs

Requirements

Subscriptions Required

Requires an active Layer subscription. A Gong subscription is required to access call data for training content alignment.

Authenticating User Requirements

OAuth 2.0. Users connect their Gong account from Layer's onboarding, transcript and integration settings pages, which initiates a standard OAuth consent flow.

Connect

Layer connects to Gong to bring real customer conversations into the platform’s context layer.

The Gong integration allows Layer to analyse call recordings, transcripts, speakers, topics, objections, buyer questions, competitive mentions, deal signals, and follow-up actions. This helps Layer keep AI agents, coaching workflows, training content, and post-call automation aligned with what is actually happening in the field.

With Gong connected, Layer can support team members before, during, and after customer conversations by surfacing relevant context, identifying coaching opportunities, generating follow-up drafts, and helping leaders understand where execution is strong or where the team needs support.

Layer uses Gong data to improve GTM performance, not to replace seller judgement. Customer-facing actions such as emails, CRM updates, or calendar invites remain draft-based or approval-based unless explicitly configured otherwise.

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