Where sales reps lose hours every week
B2B reps spend 30–40% of their week on activities that aren't selling: researching prospects, drafting RFP responses, answering 'is this in our roadmap?' from prospects, finding the right case study, customising battlecards. None of those move the deal forward by themselves; they're all preparation.
A sales enablement GPT collapses that prep time. Reps ask: 'we're meeting Telstra Wholesale tomorrow on our Cisco-vs-our-platform deal — give me what I need.' The GPT pulls account info from Salesforce, the Cisco-specific battlecard, the three closed-won deals where Cisco was incumbent, and 4 likely objections with prepared responses. 8 minutes of prep, not 80.
What we typically build for sales teams
Account Briefing Bot
Rep types 'brief me on tomorrow's Westpac meeting' — output: account history, current open opps, recent news, key contacts and their roles, related closed-lost analysis.
RFP Response Drafter
Reads incoming RFP. Pulls 70–80% of answers from your historical RFP library. Flags the 20–30% that need genuine input. Cuts RFP turnaround from 5 days to 1.5.
Competitor Battlecard Bot
Rep asks 'how do we beat Salesforce in healthcare?' — gets the current battlecard, recent win stories, and the 4 differentiators that matter most for healthcare buyers.
Deal Coaching
Reads the Gong/Chorus call transcript, identifies missed buyer signals, suggests next-best-action and the prospect-specific email to send tonight.
CRM and revenue stack integrations
- Salesforce — read accounts, opportunities, contacts, custom objects
- HubSpot — full CRM and Sales Hub integration
- Pipedrive — REST API integration
- Gong & Chorus — call transcripts and conversation intelligence
- Highspot, Seismic, Showpad — content libraries and enablement materials
- LinkedIn Sales Navigator — for prospect research (within LinkedIn's API limits)
What sales leaders see
A Sydney-based B2B SaaS company with a 14-rep AE team measured a 22% lift in opportunity-to-close conversion in the two quarters after deploying a sales GPT. The driver wasn't 'better' selling — it was rep prep quality going from 4-out-of-10 to 7-out-of-10 across every meeting. A managed services firm cut RFP response time from 11 days to 3.5 days, allowing them to bid on 60% more RFPs without hiring.
Reps stay in control. The GPT prepares; the rep decides. Every output is editable, every response is reviewed before sending. We've seen the failure mode where reps over-trust AI-generated content; the design specifically pushes back against that.
Frequently asked questions
Doesn't this just replace BDRs / SDRs?
No — and that's the wrong framing. SDR work (cold prospecting, calling 80 prospects/day to book 6 meetings) is different from AE work (preparing for high-stakes meetings with named accounts). The GPT augments AE prep without replacing the human work of building rapport with senior buyers.
Will Salesforce work with a custom GPT or do I need Einstein?
Salesforce works fine with a custom GPT via their REST API and OAuth. Einstein GPT is Salesforce's first-party offering — it's good for some use cases but heavily Salesforce-centric. A custom GPT is the right choice when you want CRM data integrated with non-Salesforce sources (call recordings, content libraries, external research).
How current is the data the GPT uses?
Real-time for CRM data (queried at the time the rep asks). Daily refresh for content libraries (battlecards, case studies). Live for prospect news (we use a search API to grab fresh news on the prospect). The rep always sees data freshness in the response.
What about deal stage forecasting?
We don't recommend GPTs for forecasting. The output is qualitative reasoning — 'this deal looks weak because the buyer hasn't engaged in 12 days and the champion left'. The number-driven forecasting layer (probability scoring, expected value) is better handled by purpose-built tools like Clari, Gong Forecast, or InsightSquared.
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