This week: a 3-prompt discovery prep that replaces your 30-minute research ritual, a MEDDPICC gap analysis you can run in 30 seconds, two AI platform moves reshaping your tech stack, and the Clay setup that turns static sequences into signal-triggered outreach.
THE PLAY
The 3-Prompt Discovery Prep That Replaces Your 30-Minute Research Ritual
Before every discovery call, most reps bounce between LinkedIn, the company website, 10-K filings, news articles, and their CRM. It eats 20 to 30 minutes per call. Multiply that by four calls a day and you just burned two hours on research that an AI can do in three minutes.
Here's a 3-prompt system that does the entire prep in one Claude or ChatGPT session. Each prompt builds on the last. Run all three in sequence, copy the output into your call notes, and walk in sharper than 95% of the reps your prospect talked to this week.
Prompt 1: The Company Snapshot
This gives you the 60-second brief that used to take 15 minutes of tab-switching. It surfaces what the company does, what's happening right now, and why they might need what you sell.
I'm a B2B [your role] at [your company]. We sell [one-sentence value prop].
Research [prospect company name] and give me:
1. What they do in one sentence
2. Their biggest business challenge right now based on recent news, earnings, or job postings
3. Three specific reasons they might need [your product category]
4. The likely decision-makers for [your solution area] with titles
5. One recent trigger event (funding, leadership change, acquisition, product launch)
Keep it under 200 words. No fluff. Cite your sources.Why it works: You're giving the AI your role, your product, and the target company in one shot. The constraint ("under 200 words, no fluff") forces signal over noise. The "cite your sources" instruction makes the output verifiable — which matters when you're about to walk into a live conversation.
Prompt 2: The Question Generator
Run this in the same conversation so the AI already has the company context. This produces the five questions most likely to surface real pain, budget, and urgency.
Based on the research above, generate 5 discovery questions that:
1. Are open-ended (not yes/no)
2. Reference something specific to this company (not generic)
3. Progress from rapport → pain → impact → urgency
4. Surface budget authority and decision process early
For each question, add:
- What you're really learning (the hidden intent behind the question)
- A follow-up if they give a vague answerWhy it works: Generic questions get generic answers. When you reference a prospect's recent product launch or a competitor's move in your question, they stop giving rehearsed responses and start talking about what actually matters. The "hidden intent" note keeps you anchored on what information you're extracting, not just what you're asking.
Prompt 3: The Landmine Detector
This one preps your defense. Run it last so the AI has full context on the company and your questions.
Based on everything above, what are the 3 most likely objections [prospect company] would raise about buying [your product category]?
For each objection:
- Why they'd say it (their real concern)
- A one-line reframe (not a rebuttal — a reframe)
- A follow-up question that turns the objection into a deeper conversation
Also flag: is there a competitor they're likely evaluating? If so, what's their strongest pitch against us and how do I preempt it?Why it works: Most reps get blindsided by objections because they didn't think about the deal from the buyer's side. This prompt forces the AI to play devil's advocate using real company context. The "reframe, not rebuttal" instruction matters because buyers shut down when they feel argued with. A reframe opens the conversation wider.
✅ Try this today: Pick your next discovery call. Run all three prompts in one Claude or ChatGPT session. Time yourself. Most reps report going from 25+ minutes of prep to under 4 minutes, with better output. The key is running them in sequence in the same conversation — each prompt builds on the context from the last.
For a deeper look at how to structure your entire day around AI-powered sales workflows, Jay's Selling with AI newsletter covers the full setup from projects to prompt libraries.
IN PARTNERSHIP WITH WISPR FLOW
The keyboard is the bottleneck.
Think about everything you type in a day. Follow-up emails. Slack messages. AI prompts. CRM notes. LinkedIn replies. It's not the thinking that slows you down — it's the typing.
I use Wispr Flow for almost everything now. It changed how I communicate. I dictate my AI prompts instead of typing them out. Follow-ups after calls? Done before I close my laptop. Even this newsletter gets built faster because I can just... talk.
It converts your voice into clean, polished text in any app — Gmail, Slack, ChatGPT, HubSpot, wherever you work. Not robotic transcription. Actually good writing. The Clay GTM team used it to make 20% more customer calls a day. Rahul Vohra from Superhuman says he's 2-3x faster. I believe it.
Sales is a speed game. The rep who follows up first wins. Wispr Flow gives you that edge — and it takes about 60 seconds to set up.
THE PROMPT
Turn Call Notes Into a MEDDPICC Gap Analysis in 30 Seconds
After every discovery or follow-up call, paste your raw notes and get an instant read on where your deal stands — and what you need to find out next. This prompt uses the MEDDPICC qualification framework trusted by enterprise sales teams at Salesforce, MongoDB, and HubSpot.
You are a senior sales coach who uses the MEDDPICC framework. I'm going to paste my notes from a sales call. Analyze them and return:
1. MEDDPICC SCORECARD — Rate each element 1-5:
M (Metrics): Can the buyer quantify the problem?
E (Economic Buyer): Have we identified and engaged the person who signs?
D (Decision Criteria): Do we know how they'll evaluate solutions?
D (Decision Process): Do we know the steps, timeline, and approvals?
P (Paper Process): Do we know procurement, legal, and security requirements?
I (Identify Pain): Is the pain acute, specific, and tied to business impact?
C (Champion): Do we have an internal advocate with power and motive?
C (Competition): Do we know who else they're evaluating?
2. GAPS — Which elements scored below 3? For each gap, give me:
- What's missing
- The exact question to ask in the next conversation to fill it
3. DEAL HEALTH — One sentence: is this deal real, or am I fooling myself?
Here are my call notes:
[PASTE YOUR NOTES HERE]Example output (abbreviated):
MEDDPICC SCORECARD:
M (Metrics): 2/5 — They mentioned "efficiency" but no numbers
E (Economic Buyer): 4/5 — CFO was on the call, engaged
D (Decision Criteria): 1/5 — Unknown
...
GAPS:
→ Metrics: Ask "If you solved this problem, what would change in your numbers
next quarter? Revenue? Time? Headcount?"
→ Decision Criteria: Ask "When your team evaluates tools like this, what are
the three things that matter most?"
DEAL HEALTH: Promising but soft. Strong champion signal, but no quantified
pain yet. Next call needs to anchor on metrics or this stalls at proposal.💡 Pro tip: Run this after every call for two weeks straight. You'll start noticing the same MEDDPICC elements are always weak — that's your discovery blind spot. Fix the pattern, not just the deal.
THE SIGNAL
1. Salesforce and Google Cloud connect AI agents across both platforms.
On April 22, Salesforce and Google Cloud announced a deep integration enabling AI agents to work across both ecosystems without switching tools. Agentforce agents can now pull context from Google Docs, Slides, and Drive for deals. Gemini Enterprise can trigger actions inside Salesforce CRM. A zero-copy integration with Google Lakehouse lets agents query BigQuery data without duplicating it. Over 1,400 customers are already using Gemini within Agentforce.
What this means for your pipeline: If your team runs Salesforce and Google Workspace, an agent can now pull a prospect's latest shared doc, cross-reference it with your CRM deal history, and draft a follow-up — without anyone leaving Slack. Agentforce Sales is in Open Beta now. Test it this week.
2. OpenAI's internal memo reveals an enterprise platform war with Anthropic.
An internal memo from OpenAI's Chief Revenue Officer outlines a strategic shift toward becoming a unified enterprise AI platform, not just a collection of products. The company is prioritizing multiproduct adoption, agent platforms, and full-stack deployment to increase switching costs. The memo highlights intense competition with Anthropic and the challenge that switching between AI providers is getting easier for enterprises.
What this means for your pipeline: The AI vendors your buyers use are fighting to become the default enterprise platform. That competition benefits you — expect aggressive enterprise pricing, faster feature releases, and better integrations from both OpenAI and Anthropic through 2026. If you're building AI into your sales process, the tools are about to get cheaper and more capable.
THE STACK SWAP
Clay — Replace Manual List Building With Signal-Triggered AI Outreach
Replaces: Manual prospecting in LinkedIn Sales Nav + static day 1/3/7 email sequences
Best for: SDRs and AEs running 30+ outbound touches per day who want every message to reference a real trigger event
What it does: Clay connects to 75+ data sources and lets you build automated enrichment workflows without code. Import a list of target accounts, and Clay pulls firmographic data, technographic signals, job postings, funding events, and leadership changes into a single table. Its AI agent (Claygent) can then research each company, write personalized message snippets, and classify leads by fit score — all before a rep touches the account.
5-minute setup: (1) Connect your CRM as a data source. (2) Build a table with your target account list. (3) Add enrichment columns — Clay auto-fills company data, finds contacts, and verifies emails via its waterfall of 50+ providers. (4) Add a Claygent column that writes a one-line personalization hook for each contact based on their company's latest news. (5) Push enriched contacts to your sequencer.
Why the swap matters: Static sequences send the same email on the same schedule regardless of what's happening at the target company. Clay lets you trigger outreach when something actually changes — a VP gets hired, funding closes, a competitor gets mentioned in their job postings. That's the difference between "just checking in" and "I noticed you just hired a Head of RevOps — here's how we helped a similar team ramp 40% faster."
QUICK WINS
1. Kill "just following up." ❌ "Hey, just following up on my last email." → ✅ "I re-read your comment about [specific thing they said]. Here's a thought on that." Every follow-up should reference something specific. If you can't, you didn't learn enough in the last conversation.
2. Apple's AI call screener is here. Adapt your opener. iOS 26's call screening intercepts unknown numbers and transcribes the caller's reason for the prospect to read. Your first 250 characters are now a text ad, not a verbal pitch. Add "The reason I'm calling is [one sentence of specific value]" immediately after your name. Generic openers get screened out.
3. Find your blind spot in 60 seconds. Paste your last 5 lost deal notes into Claude and ask: "What pattern do you see in why I'm losing these deals?" You'll either confirm what you already suspected or discover something you've been ignoring. One AE who ran this found that 4 of 5 losses had zero procurement contact before the final stage — a gap he'd never noticed across individual deals.
4. Pre-load your objections before every demo. Before your next demo, ask Claude: "What are the 3 most likely objections from a [prospect's industry] company evaluating [your product category]?" Then prepare a one-line reframe for each. Walking in with answers prepared isn't cheating — it's preparation that 80% of reps skip.
5. The 88/24 gut check. Momentum.io's 2026 report found 88% of sales teams say they use AI but only 24% have it in their actual revenue workflows. Ask yourself: does your AI write back to the CRM, or does it live in a browser tab? If it's a browser tab, you're in the 64% losing ground.
THE CLOSER
That's Issue #7. If you run the 3-prompt discovery prep before your next call this week, reply and tell me how it went. Seriously, I read every reply.
Next week: The Objection Drill Partner — how to build an AI sparring partner that fights back with real objections from your prospect's industry. You'll walk into calls having already heard (and beaten) every pushback they can throw at you.
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— The Sales Bytes Team
