Sales training with AI

The difficult sales conversation happens here first, not with the customer.

Cold outreach, needs analysis, "too expensive", the close. You speak for ten minutes with an AI customer who raises objections, holds their position, and doesn't give in just because you apply pressure. Afterwards you know where you stand.

3 conversations per month free · no credit card · servers in Germany

Start conversationPhone · Discovery call
Michael Brooks

Michael Brooks

Midmarket CFO

Price talk, then a hard stop

  • sales
  • Sales
  • Cold outreach

We just froze the budget. List price is the reference; procurement won’t move.

Your task

Steer the conversation from price anchoring to measurable value drivers and decision timing. Clarify what exactly is frozen, what inputs are still adjustable, and who can approve exceptions.

6.9

This is what your evaluation looks like

Lead with measurable business impact before touching price terms

Also available:+3 more

What is AI sales training?

AI sales training is a spoken role-play in which a sales conversation is conducted with an AI customer before it takes place with a real customer. Careertrainer.ai covers the full cycle: cold outreach and gatekeepers, needs analysis, value argumentation, objection handling, and closing. The AI customer has a stored buying motive and a skepticism level and does not buy because the conversation was friendly. For complex B2B sales, several decision-makers can be stored as a buying center. A conversation lasts 5 to 20 minutes and is evaluated by a second, independent model: 70 percent scenario goals, 30 percent sales skills, backed by quotes from the transcript.

AI sales training at a glance

Training formatSpoken live role-play (audio, no video, no text chat)
Fields coveredCold outreach, needs analysis, value argumentation, objection, closing, buying center
Duration per conversation5–20 minutes
EvaluationSecond, independent AI model, scale 0–10
Weighting70% scenario goals, 30% sales skills
EvidenceEvery partial score backed by a quote from the transcript
Custom scenariosVia the generator in minutes, without programming
LanguagesAll European languages plus Hindi, including German, English, Swiss German, and accents
HostingGermany, GDPR-compliant, no cross-tenant training on customer data
RecordingAudio only with opt-in, evaluation exclusively on the transcript
Company reportingAggregated only, no access to individual conversations
AccessBrowser and mobile, no installation
Getting started3 conversations per month free, no credit card
Not coveredProduct training without a conversation element, pipeline management, video avatars, pronunciation and prosody scoring, very strong dialects
Scenario examples

Practice sales conversations from real daily work

Pick a scenario from the sales hub — prospecting, objection, price or closing — and jump straight into the AI role-play.

20 of 20 scenarios

Industry

Situation

Michael Brooks

Michael Brooks

Midmarket CFO

Software & SaaSDiscovery callBudget lockedMid-market CFO

Your call connects right as Michael finishes a budget review. He immediately anchors on list price and says procurement will not budge. If you waste five minutes, the freeze request turns into a permanent hold.

What you'll practise

  • Frame value before price
  • Clarify what is locked
  • Set next evaluation trigger
We can only compare list price, not promises.

In the appScenario pre-filled, fully editable

Owen Foster

Owen Foster

Small Business Owner

FinTechDiscovery callCall back laterSME owner

In the meeting room, Owen arrives half a step ahead of his agenda. He says the reason for meeting is not what you assumed. If you push too hard, he ends the call as “not useful” and walks away.

What you'll practise

  • Mirror the hijacked priority
  • Bridge without losing control
  • Earn a specific next time
Hold on. That’s not why I’m here today.

In the appScenario pre-filled, fully editable

Ethan Collins

Ethan Collins

Midmarket CTO

Manufacturing & Industrial EquipmentGatekeeper block on phoneBad past experienceMid-market CTO

The line rings, and Ethan says he does not have time. Before you finish, he signals this is another unwanted call. If you stumble, he hangs up and blocks your number after today’s shift change.

What you'll practise

  • Validate the rejection reason
  • Ask a manufacturing relevance question
  • Earn the next speaking minute
No time. I’ve heard this after every bad rollout.

In the appScenario pre-filled, fully editable

12 of 20 scenarios — more in the generator

The evaluation

One AI plays the part, a second one scores it

After the conversation a second model reads the transcript and scores your wording only: 70% scenario goals, 30% core competencies for your training type. Every score is backed by a quote from your conversation.

Only your transcript is scoredRecording on opt-in onlyAggregated only for companies

Illustrative example using the real scoring model — not a live evaluation of a conversation you held.

Evaluation
Michael Brooks · CFO blocks with a budget freeze and price anchor6.9

Scenario goals · 70 %

Frame value before price6.5
Clarify what is locked8.5
Set next evaluation trigger6.5

Competencies · 30 %

Needs analysis6.6
Value articulation7.1
Objection handling6.9
Closing orientation7.2
Relationship building6.7

Michael, for this SAAS, what metric proves value before list price—g1?

Use impact framing before price: “For your finance committee, what metric shows risk reduction within 90 days—before any list price talk?”

The conversations

Conversations you can practice

On each page: structure, phases, wording – and the role-play at the end.

All 15 conversation types

Method

AI coaching: the Careertrainer Loop

1Runtwo separate AI systems2Insightevidenced and contestable3Repetitionwith a named twistYieldPatternby persona type, by teamEntryOccasionExitTransferDid the assumption hold?Foundation · ContextCompany contextProduct / guidelinePersona
The inner circle can run as often as needed. The exit leads back to the entry.

An AI role-play is a conversation. AI coaching is a system that decides which conversation is needed next.

Three properties separate one from the other. Careertrainer.ai implements them as the Careertrainer Loop: occasion, run, insight, repetition, and transfer, on a foundation of company context, product, and persona. The yield is not a score, but a pattern.

  1. 1

    Memory across weeks

    Not within one conversation, but across many — and across different customers of the same type.

  2. 2

    A decision, not a catalogue

    A catalogue asks what you want to practise. A coach says what is next and why.

  3. 3

    Tied to an appointment

    Not “practising is good”, but: “Thursday offer meeting — the CFO blocks on price.”

Station 3

Repetition

What is different this time?

Not a second attempt at the same scenario, but a named variant: tighter, harder, or transferred to another person. The twist is fixed in advance.

Click a station in the drawing or here. All seven descriptions also sit below.

EntryOccasion

What is coming up?

A real appointment, one sentence. That turns a good intention into preparation with a deadline — a painkiller instead of a vitamin.

Station 1Run

How does it actually go?

The live conversation. Two separate AI systems: one plays, one evaluates. The character does not know the scoring rubric and therefore cannot be gamed. During the conversation only one sentence is on screen: the goal.

Station 2Insight

What caused it?

A self-assessment before the result, then the 70/30 evaluation with quotes from your own transcript — and the gap between the two. Disagreement is intended: an evaluation you cannot contest is a verdict.

Station 3Repetition

What is different this time?

Not a second attempt at the same scenario, but a named variant: tighter, harder, or transferred to another person. The twist is fixed in advance.

ExitTransfer

What do you take with you?

One sentence before the real appointment — and afterwards the question whether the assumption held. That closes the loop back to the occasion.

FoundationContext

What makes the conversation yours?

Company context, product or guideline, persona. Without these three layers every scenario stays generic. The part that grows more valuable over time: after months, real objections from real conversations sit there.

YieldPattern

What shows up over time?

Not a score, but a statement about recurring behaviour toward a persona type. Aggregated at team level, that becomes the answer to sliding back into the old pattern.

What comes out at the end

With quiet market leaders you yield on the third follow-up. With time-pressure types you do not.

An example wording of a pattern, not an evaluation of a real user. Aggregated at team level: „Your team wins against the price-driven buyer and loses against the waiting decision-maker.“

Two levels · AI role-plays

Who has the problem?

On the left the organization's pain, on the right the situation one person practices.

For the individual

When this one conversation is coming up

Ten challenges that every sales scenario fits into. Objection, situation, problem — same thing.

Context

In your market, with your product

Generic is enough to show the principle. It becomes convincing when your own situation shows up in the scenario.

Honest

What Careertrainer is not built for

  • Not for pure product knowledge. If you want to learn datasheets, you don't need a conversation for that.
  • Not for rhetoric and presentation coaching. We train dialogue, not a speech.
  • Not for situations that happen exactly once.
  • Not a replacement for a sales trainer. We're the practice in between.
  • Very strong dialects can't be reproduced by the voice yet.
FAQ

FAQ — Sales

How does an AI role-play work at Careertrainer.ai?+

You run a real sales conversation with an AI customer by voice — not chat, not clicks.

You pick a situation, speak for 5 to 15 minutes, and the AI reacts the way a customer does: objections, follow-up questions, buying signals, and silence where you'd rather have agreement. Right after, you get structured feedback on how you led, argued, and closed.

The point is that you practice the real situation instead of learning on live leads.

What is the difference between an AI role-play and AI coaching?+

A role-play is one conversation. Coaching is the decision about which conversation you need next.

The difference shows up around the third run. A plain role-play starts from zero every time. Coaching knows your price conversation tipped over at the same point three times, suggests exactly that situation again, and puts it on the day before your real meeting.

Most providers in the category deliver the single conversation. What's still missing, and what we're building for it, is on the AI coaching page.

What makes this different from role-playing with ChatGPT?+

The central difference is that playing and scoring are separate: one AI plays the customer, a second, independent one evaluates the conversation.

That sounds like a detail, but it's the reason DIY builds don't get you far. Whoever just played skepticism and price pressure can't judge your behavior neutrally — a single chatbot ends up praising you for a conversation it shaped itself.

Three more things are hard to rebuild yourself: live voice instead of text, so pace, pauses, and interruptions are part of it; personality types with a core motivation instead of an agreeable assistant; and skill tracking across many sessions.

If you already practice with ChatGPT, check one thing in the comparison: does your counterpart ever hold its position?

What feedback do I get after the conversation?+

A score from 0 to 10, weighted 70% on the goals of the specific scenario and 30% on general conversation skills, each backed by moments from your own conversation.

The skills are the ones that decide deals: needs analysis, objection handling, conversation control, closing strength. Across sessions you see which of them moves and which stays flat.

For sales leaders that creates something that didn't exist before: a statement about where the gap sits in the team that isn't based on ride-alongs and gut feel. If six out of eight people fold on the price objection, that's a training topic, not a personnel topic.

Is it GDPR-compliant — what happens to my CRM data?+

Careertrainer.ai is GDPR-compliant and hosted in Germany. We don't train across tenant boundaries on your data.

What matters more in practice: you don't need to import real CRM records to practice realistically. Product, typical objections, and customer type are usually enough for a credible scenario. Real contact names and revenue figures aren't part of it.

In regulated industries such as insurance, financial services, and pharma, EU hosting is often the first question in the buying process — which is why it's a deliberate decision, not a side note. Current status is on our GDPR page.

What does it cost?+

You start free: 3 conversations per month, no credit card.

That's deliberately enough for a realistic test — prepare an upcoming conversation, repeat it once, then decide. You judge the product on your own case instead of on a demo recording.

For sales teams with a shared dashboard, onboarding programs, and larger rollouts there are team terms. Because the setup depends on team size and usage, that runs through a short demo.

Everything runs in the browser and on mobile, with no setup. To find out whether it works for your sales team, you need neither budget nor approval.

Other training types

You don't only have one kind of conversation.

If you sell, you eventually negotiate against procurement. If you lead a sales team, you have both roles in one day.

Negotiation

Distribute value instead of persuading: price, terms, escalation.

  • Rahmenvertrag verhandeln
  • Preis halten gegen den Profi-Einkauf
  • Aus Schwäche verhandeln (Single Source)
Go to negotiation training

Customer service

Take complaints and de-escalate without getting pulled in.

  • Aufgebrachten Kunden deeskalieren
  • Berechtigte Beschwerde annehmen
  • Schlechte Nachricht überbringen
Go to customer service training
Preventing churn and handling service complaints are connected through the archetype "difficult messages and de-escalation". The customer who wants to leave and the customer who complains put you through the same task – emotion first, then the issue.