AI for Sales Playbook

How to Use This Template

Replace [[Tokens]]. Customize prompts with your actual ICP pains, proof points, and voice. Review every AI output before sending. Track what works and feed winners back into your prompt library.

What to Provide

Section 1: Use Cases by Sales Motion

Prospecting and research

• Enrich leads with public signals and pain hypotheses.

• Generate personalized first lines and sequences from research.

Outreach and follow-up

• Multi-channel sequences with high reply rates.

• "Bump" messages that add new value without nagging.

Call notes and CRM hygiene

• Summarize calls into next steps, risks, and coachable moments.

• Auto-create or update CRM fields from notes.

Objection handling and negotiation support

• Draft responses to common objections with proof.

• Prepare negotiation anchors and trade-offs.

Your first three AI wins:

1. [[Highest volume repetitive writing]]

1. [[Research that currently slows you down]]

1. [[Post-call admin that eats evenings]]

Section 2: Prompt Library

Prospect research brief:

"From this LinkedIn profile and company site info [[paste]], list: 1) 3 likely business pains that match our ICP. 2) One recent trigger event. 3) A personalized 1-line opener that references the trigger without sounding creepy. 4) 2 questions that would qualify budget and timeline."

Personalized cold email:

"Write a 5-7 line cold email to [[Name]] at [[Company]]. Goal: 15 min call to explore [[value prop]]. Reference [[specific recent signal]]. Include one credible proof point. Voice: confident peer, not vendor. CTA: one clear low-friction ask."

Call notes to CRM + next steps:

"Turn these notes [[paste]] into: CRM summary (3 bullets), 3 action items with owners and dates, risks or objections raised, and a one-sentence forecast recommendation. Format for direct paste into [[CRM name]]."

Objection response:

"Prospect said: '[[exact objection]]'. Give 3 response options: one empathetic + question, one proof-based, one that trades or reframes. Keep each under 60 words. Tie to [[our differentiator]]."

Sequence bump message:

"Write a short value-add follow-up to a prospect who has not replied to [[previous touch]]. Add one new, timely piece of information relevant to their [[role or company situation]]. One clear soft CTA. Under 70 words."

Section 3: Tool Stack and Integration

Typical stack: Clay or Apollo for data, your CRM (Salesforce, HubSpot, Pipedrive), Gong/Chorus for call recording and notes, LLM for drafting, Make/Zapier for light automation between them.

Integration pattern: Call recording → AI summary + action items → create/update CRM record + create follow-up task. Human reviews the summary before it goes into the record.

Numbered daily sales AI routine:

1. Review enriched leads from data tool.

1. Run research brief prompt on top 5-10.

1. Draft and personalize outreach in batches.

1. Log calls or meetings, run notes prompt immediately after.

1. End of day: review CRM hygiene items and clean 5 records.

Section 4: Deliverability, Spam, and Compliance

• Never buy or use scraped lists without proper permission and verification.

• Comply with CAN-SPAM, CASL, and any industry rules. Include physical address and easy unsubscribe where required.

• Personalization is powerful; over-personalization from creepy data kills trust and deliverability.

• Log consent and source for every contact you reach out to.

Additional numbered list for compliance:

1. Confirm consent or legitimate interest before any sequence.

1. Include required physical mailing address in every email.

1. Monitor bounce and complaint rates weekly.

1. Pause any sequence that triggers unusual spam flags.

1. Document source of every lead in the CRM.

Section 5: Pipeline Metrics

Track: reply rate, positive reply rate, meetings booked per 100 outreaches, time from first touch to meeting, CRM data completeness, win rate on AI-assisted vs manual sequences (first 50 of each).

Weekly habit: Review 5 AI-assisted sequences that got replies and 5 that didn't. Update prompts from the winners.

Deeper metrics to watch:

• Time spent on admin vs selling before/after AI notes.

• % of CRM records with complete next step and date.

• Objection win rate on the three most common pushbacks.

Pro Tips and Pitfalls

• The best prompts include your actual win language and proof.

• AI is great at volume and first drafts; you are great at reading the human and timing the ask.

• Automate the notes and admin first: it frees real selling time with less compliance risk.

• Common pitfall: sending unedited generic-sounding messages at scale. Always make the final 20% human.

• Another pitfall: letting the tool dictate volume over thoughtful targeting. Quality of list and signal still wins.

Use AI to do the research and writing grunt work so you can have more high-quality conversations. The reps who win treat it as a force multiplier for thoughtful, personalized selling, not a spray-and-pray robot. Review, measure, and keep the human relationship at the center.

Additional Guidance and Checklists

Numbered pre-use checklist (run every time):

1. Confirm the goal and constraints are still accurate.

1. Update any [[Token]] values with current data.

1. Run the core prompt or workflow.

1. Human review for accuracy, tone, and compliance.

1. Log time and outcome for later tuning.

Common failure modes and fixes:

• Output too generic: add 2-3 specific examples from your real work to the prompt.

• Wrong length or format: specify exact word count, bullet vs paragraph, or section headings in the prompt.

• Outdated info: add "use only information from the attached sources or current date" and paste fresh context.

• Tone drift: paste 2-3 examples of the exact tone you want.

Pro Tips (continued):

• Version your best prompts with dates and results.

• Keep a "bad outputs" note so you stop repeating the same mistakes.

• When in doubt, simplify the prompt and add concrete examples rather than more instructions.

Final reminder: AI accelerates. You decide, edit, and own the result. Use the numbered steps and checklists above on every significant piece of work until the pattern is automatic.