AI Toolkit for
Sales
AI tools and workflows for prospect research, email personalization, CRM enrichment, deal intelligence, and sales enablement.
8
Tools
5
Workflows
( Recommended Tools )
Best AI tools for sales
Claude
$20/user/moAdvanced AI assistant for deep prospect research, personalized email drafting, competitive intelligence, and sales strategy analysis.
ChatGPT
$20/user/moVersatile AI assistant for quick email drafts, objection handling scripts, call prep notes, and on-the-fly sales content.
Apollo.io
$49/user/moAI-powered sales intelligence platform with a 275M+ contact database, automated sequences, and engagement analytics.
Gong
Custom pricingRevenue intelligence platform that records and analyzes sales calls. AI surfaces deal risks, coaching moments, and competitive mentions.
Lavender
$29/user/moAI email coaching tool that scores your sales emails in real time and suggests improvements to boost reply rates.
Perplexity
$20/user/moAI-powered research engine that provides sourced, up-to-date answers. Ideal for fast prospect and company research before outreach.
Superhuman
$30/user/moAI-powered email client built for speed. Auto-drafts replies, summarizes threads, and helps reps respond to prospects in minutes, not hours.
Gamma
$10/user/moAI presentation builder that turns outlines into polished sales decks. Generate slides from deal notes, proposals, and competitive positioning.
( Workflows )
Step-by-step AI workflows
AI-Powered Prospect Research
Research a prospect thoroughly before outreach. AI pulls together company news, recent funding, tech stack, org changes, and personal details to build a complete picture in minutes.
- 1. Identify the target account and key contacts in Apollo.io
- 2. Use Perplexity to pull recent company news, earnings, product launches, and leadership changes
- 3. Feed the raw research into Claude: 'Summarize this prospect's top 3 business priorities and pain points based on this research'
- 4. Cross-reference with Apollo.io for org chart, tech stack, and contact details
- 5. Claude generates a one-page prospect brief with talking points tailored to your solution
Personalized Cold Email Generation
Craft highly personalized outreach emails at scale. AI writes unique emails for each prospect based on their role, company context, and recent activity.
- 1. Export your target prospect list with company and role data from Apollo.io
- 2. Prompt Claude with prospect context: 'Write a cold email to [Name], [Title] at [Company]. Reference their recent [event/news]. Our solution helps with [value prop]. Keep it under 100 words.'
- 3. Run the draft through Lavender for email scoring and optimization suggestions
- 4. Adjust subject line, opening hook, and CTA based on Lavender's feedback
- 5. Load finalized emails into your sequencing tool and schedule sends
Sales Call Prep and Follow-Up
Prepare for discovery and demo calls with AI-generated briefs, then auto-generate follow-up summaries and next steps from call recordings.
- 1. Before the call: use Perplexity to check the prospect's latest news and LinkedIn activity
- 2. Prompt Claude: 'Based on this prospect research and our previous email thread, generate 5 discovery questions and 3 potential objections with responses'
- 3. Run the sales call with Gong recording and real-time note-taking
- 4. After the call: Gong provides the transcript, talk-time ratio, and key topics discussed
- 5. Feed the Gong summary into Claude: 'Write a follow-up email that recaps the key discussion points, confirms next steps, and addresses the pricing concern they raised'
- 6. Send the follow-up within 30 minutes of the call while context is fresh
Deal Intelligence and Pipeline Analysis
Analyze pipeline health using AI to identify at-risk deals, stalled opportunities, and forecast accuracy improvements.
- 1. Export your current pipeline data including deal stage, last activity date, stakeholders engaged, and next steps
- 2. Use Gong's deal intelligence to flag deals with low engagement, single-threaded contacts, or missing decision-makers
- 3. Feed pipeline data into Claude: 'Analyze these 25 deals. Flag any that show signs of stalling based on: days in stage, stakeholder engagement, and activity gaps'
- 4. Claude categorizes deals into healthy, at-risk, and needs-intervention buckets with specific recommended actions
- 5. Use the analysis to prioritize your week — focus on at-risk deals that are still winnable
Competitive Battle Cards
Maintain up-to-date competitive intelligence that reps can reference during live calls. AI monitors competitor changes and updates positioning automatically.
- 1. Use Perplexity to research each competitor: pricing changes, product launches, customer reviews, analyst coverage, and hiring patterns
- 2. Feed competitor intel into Claude: 'Create a battle card for [Competitor] with: their positioning, our advantages, their advantages, common objections, and winning talk tracks'
- 3. Review Gong call recordings for real competitive mentions — what are prospects actually saying about competitors?
- 4. Incorporate Gong insights into battle cards: real objections from real calls, not hypothetical ones
- 5. Publish battle cards to your team wiki and set a monthly refresh cadence
- 6. Re-run the Perplexity and Gong analysis each month to keep cards current
( Adoption Framework )
How to roll out AI
in sales
Getting Started
The fastest way to roll out AI in a sales team is to start where reps already feel the pain: writing emails and researching prospects. These are high-volume, repetitive tasks that eat into selling time. AI handles them in minutes instead of hours, and the results are immediately visible — better emails, more meetings, shorter prep time.
Week 1-2: Email and Prospect Research
Give every rep access to Claude or ChatGPT and one email tool (Lavender or Superhuman). Start with the simplest use case: drafting outreach emails. Reps paste in prospect context and get a personalized email back in seconds. Pair this with Perplexity for quick pre-call research. The goal is to save 30-60 minutes per day on tasks reps already dislike doing manually.
Week 3-4: Call Prep and Analysis
Introduce Gong for call recording and analysis. Reps who’ve been using AI for email are ready to see AI analyze their calls. Start with post-call summaries and follow-up generation — it saves 15 minutes after every call and ensures no action item gets dropped. Then layer in pre-call prep: AI-generated discovery questions and objection responses based on prospect research.
Month 2: Pipeline Intelligence and Competitive Strategy
Reps who’ve been using AI daily for a month are ready for advanced workflows. Introduce deal intelligence — using AI to analyze pipeline health, flag at-risk deals, and prioritize weekly activity. Build and maintain competitive battle cards with AI so reps always have current positioning during live conversations. This is where AI shifts from a time-saver to a strategic advantage.
Measuring Success
Track these metrics to measure AI adoption impact:
- Reply rates — Are AI-personalized emails getting more responses than templates?
- Meetings booked per rep — Is faster outreach converting to more pipeline?
- Average deal velocity — Are deals moving through stages faster with better follow-up?
- Call-to-meeting conversion — Is better call prep leading to more next steps?
Don’t measure how often reps open AI tools. Measure the outcomes that win deals.
( Quick Tips )
Start with email — it's where reps spend the most time and see the fastest results. AI-drafted emails with personal touches get replies. That early win builds momentum.
Don't replace the CRM workflow. Layer AI on top of it. Reps who feel their tools are being swapped will resist. Reps who get a faster way to do what they already do will adopt overnight.
Use Gong call analysis as coaching, not surveillance. Position AI insights as 'here's what top performers do differently' rather than 'here's what you did wrong.' Framing determines adoption.
Create a shared prompt library in your team's Slack or Notion. When one rep writes a prompt that generates a great cold email or objection response, make it easy for the whole team to reuse it.
Measure results reps care about — reply rates, meetings booked, deal velocity — not AI usage metrics. Nobody wants to be graded on how many times they opened a tool. They want to hit quota.
Train your sales team
Knowing the tools is step one. Voto makes your team fluent — with hands-on quests tailored to sales workflows.