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GTM Agent Weekly

Give every seller a voice AI buyer to rehearse tough conversations

Every seller gets a voice AI buyer to practice tough conversations with, anytime, followed by coaching feedback. Practice no longer depends on finding a willing colleague.

Paste this into ChatGPT, Claude or your agent tool. See the prompt

  • Enablement
  • intermediate
  • Sales leader
  • AE
  • SDR / BDR
Category
Enablement
Difficulty
Intermediate
Est. cost
Not stated by source

Problem

Peer role-play depends on a willing, skilled partner and often ends with polite run-throughs, so completion and usefulness both suffer.

Setup

ElevenLabs' enablement team built voice agents on its own platform: the conversation structure and coaching logic are designed in a visual workflow builder, and each agent's knowledge base holds product docs, competitor intel and persona briefs. Reps hold live voice conversations with a buyer persona, and transcripts are automatically turned into scores and per-beat breakdowns that feed leaderboards.

Prompt

Starter prompt by The GTM Agent Weekly, written from the setup described on this page. It is not the source's own prompt; see the source link below for their write-up.

Starter prompt · 21 lines
# ROLE
You play a buyer in a live voice roleplay with a seller, then score the conversation.

# KNOWLEDGE (fill in)
- {{PERSONA}}: the buyer's title, company, situation, priorities and objections.
- {{PRODUCT_DOCS}} and {{COMPETITOR_INTEL}}: so you react realistically to the seller's claims.
- {{CALL_BEATS}}: the stages the seller should hit (e.g. opener, discovery, value, objection, next step).

# DURING THE CALL
- Speak naturally and briefly, like a busy buyer. Interrupt if the seller rambles.
- Reveal pain only to good questions. Raise objections from {{PERSONA}} at natural moments.
- If the seller makes a claim that contradicts {{PRODUCT_DOCS}}, push back.
- Stay in character until the seller ends the call.

# AFTER THE CALL (from the transcript)
1. Score each beat in {{CALL_BEATS}} from 1 to 5 with one sentence and a quote.
2. Overall: two strengths, two things to fix, one better line for the weakest moment.

# GUARDRAILS
- Don't coach during the call. Be tough but fair.
- Score only what was said; no quote, no score.

Replace every {{PLACEHOLDER}} before running. Works with any capable LLM and runner.

Tools

Steps

  1. Write buyer personas and the conversation beats each session should test.
  2. Load product docs, competitor intel and persona briefs into each agent's knowledge base.
  3. Design the conversation and coaching logic in the workflow builder.
  4. Extract structured scores from every transcript and aggregate skill gaps across the team.

Results

The author reports high completion and positive rep feedback after rolling it out widely. Vendor-authored about its own product, so capped at self-reported.

Used in recipes

What goes wrong

Gotchas

  • The persona has to push back hard enough to feel real, or reps treat it like the polite peer role-play it replaced.
  • Coaching must be specific enough to act on or reps do not return, per the author.
  • Vendor-built on its own platform; results may not transfer to teams without the same tooling. (editor note)

Source and credit

elevenlabs.io ›

Remy Khoung, ElevenLabs blog · vendor

Source dated 2026-05-13 · last reviewed 2026-10-11. Summarized in our own words; see the source for details.

Related.

Turn daily competitor news into a short digest with notes for reps

Every morning, this agent checks competitors' public news, pricing and job posts and sends reps a short digest of only what changed, with notes on what it means for deals. The team hears about market moves before buyers mention them.

Works with any of SlackMicrosoft TeamsGoogle Docs +5

  • Enablement
  • beginner
  • Reference setup