AI agents for sales: 100+ prompts to get you going

Let’s dive right in.

Here are dozens of AI agent prompts you can start using today (or, technically speaking, when you onboard an agentic AI platform like Highspot with native AI agents for sales, marketing, and enablement) to drive GTM performance.

AI agent prompts for sales team members

Using these AI sales agent prompts, reps can cut the clutter, work smarter, and stay locked in on what really moves the needle: closing deals and crushing quota.

AI agent prompts for deal strategy and seller execution

• “What content worked best in deals like this last month?”
• “What’s the best follow-up content for my next buyer call?”
• “Which assets worked best in our most recent enterprise win?”
• “What sales play is best for pricing discussions this week?”
• “Recommend a deck based on my buyer’s industry and stage.”
• “Identify patterns in the talk‑to‑listen ratio for my sales calls.”

AI agent prompts for sales call prep and objection handling

• “What assets do our top-performing reps share at this stage?”
• “What should I send now based on recent buyer engagement?”
• “What is the ideal time to follow up based on intent data?”
• “What talk track should I use for this product objection?”
• “What should I review before tomorrow’s discovery call?”
• “What email should I send [lead name] after today’s call?”

AI agent prompts for sales pipeline and performance insight

• “Who else has closed a deal like this, and what did they do?”
• “Which sales reps had success in this vertical last quarter?”
• “How does this account compare to others in similar deals?”
• “Show similar deals and what content was pitched or shared.”
• “Summarise recent buyer actions and suggest next steps.”
• “Which collateral helped most in closed deals over $100K?”

Bonus: Advanced AI agent prompts for sales reps

• “You’re a sales representative prepping for a major enterprise demo. Analyse the last 5 deals your team won in this segment. Highlight which collateral was shared most often with leads. Export a table of asset name, usage count, and win rate.”
• “You’re a field sales rep covering commercial accounts. Review all open opportunities in the last 30 days. Spotlight the three most common buyer objections you face. Output them as a prioritised bullet‑list with recommended talking points for each objection.
• “You’re a BDR following up a recent conference lead list. Compare these leads’ engagement with your standard pipeline. Score each lead for intent (high/medium/low). Deliver a ranked list of the top-10 prospects with recommended next steps.”

AI sales agent pro tip: Before your next discovery call with a lead, ask your Highspot AI sales agent, “What did top reps share at this stage?” You’ll get pitch-perfect content and insight without having to click through 10 tabs first.

AI agent prompts for sales managers

These prompts help sales managers zero in on coaching moments, team trends, and readiness gaps without spending nights buried in call reviews and spreadsheets.

AI agent prompts for sales coaching and skill development

• “Which sales reps are trending behind their forecast now?”
• “What coaching moments came from their last three calls?”
• “What traits of top-performing sales reps are missing here?”
• “Create a review plan based on missed call objectives.”
• “Which reps finished the last learning path this quarter?”
• “How did [rep name] score on their last objection-handling sim?”

AI agent prompts for sales team enablement and support

• “What sales plays are underutilised by the entire team?”
• “Show content that [rep name] skipped or shared too late.”
• “Which reps skipped the pricing sales play in Q3 deals?”
• “Compare [rep name]’s activity to current top performers.”
• “Show me patterns in rep calls and share action items.”
• “Identify sales collateral that [rep name] rarely uses.”

AI agent prompts for sales performance visibility and planning

• “Who missed the most key topics in recent sales calls?”
• “Which deals need rep coaching before the next call?”
• “Summarise where this [rep name] loses deals and when.”
• “Which BDRs need manager follow-up, based on call data?”
• “List reps who missed quota in Q2 and their average deal size.”
• “Show rep win rates by segment, and suggest coaching focus.”

Bonus: Advanced AI agent prompts for sales managers

• “You’re monitoring field adoption of new plays. Track usage of new playbooks and collateral across your team over the last six weeks. Map adoption by rep. Create a ranked list of reps with adoption under 50% along with reminders to schedule coaching.”
• “You’re prepping for a mid‑year review with your director. Aggregate team pipeline health by segment. Indicate any deal freeze or slippage trends. Flag teams missing forecast by more than 10%. Provide summary commentary to present in the review.”
• “You’re a coach preparing for your monthly team meeting. Analyse the last 100 sales calls across your team. Identify the five most frequent objections. Export a formatted slide deck (title + data‑slide for each objection) with recommended responses.”

AI sales agent pro tip: Want to make your next 1:1 with a sales rep count? Ask your Highspot AI agent, “Where’s this rep slipping in late-stage deals?” You’ll coach sharper and faster and maybe skip that surprise end-of-quarter fire drill.

AI agent prompts for sales leaders

Whether you’re forecasting deals, scaling a team of inside reps, or rolling out new strategic initiatives, these AI agent prompts turn gut feel into game plan.

AI agent prompts for sales forecasting and pipeline optimisation

• “Where are deals stalling most by segment or region?”
• “Summarise closed-lost deals by competitor and reason.”
• “Which seller behaviours correlate with win rate rise?”
• “What’s our sales velocity trend in EMEA right now?”
• “Summarise forecast risk based on rep execution signals.”
• “Which reps need manager follow-up based on call data?”

AI agent prompts for strategic sales planning and scaling

• “Which reps skipped required training or plays last week?”
• “What sales plays influenced the most revenue this quarter?”
• “Create a QBR summary of what’s working and what’s not.”
• “Recap closed deals from Q1 and what actions led to wins.”
• “Forecast headcount needs by region based on pipeline”
• “Which plays scaled best in enterprise this past quarter?”

AI agent prompts for sales initiative and region analysis

• “Which accounts show risk based on lead engagement gaps?”
• “Summarise team gaps using calls, plays, and deal stages.”
• “Which deals are at risk, based on missing play adoption?”
• “Show which regions use sales plays with low success rates.”
• “List the average closed-won by deal size across all territories.”
• “Which go-to-market initiatives improved win rates in APAC?”

Bonus: Advanced AI agent prompts for sales managers

• “You’re a VP of Sales leading multiple regions. Generate a comparison of conversion rates from proposal to close across regions for the last two quarters. Illustrate in a heat map. Note the region(s) with fastest improvement plus why.”
• “You’re forecasting next year’s headcount. Model projected revenue growth by region. Apply average deal size and rep productivity trends. Present a table showing the number of new hires needed and expected return on investment.”
• “You’re preparing for the board update. Pull pipeline value by stage, average days in each stage, region by region. Produce an annotated chart with commentary on bottlenecks, risk zones, and proposed fixes for next quarter.”

AI sales agent pro tip: Kick off your week by asking, “Which initiatives are driving the most closed-won deals?” Your AI agent can give you clarity regarding your GTM strategy without having to wade through multiple sales dashboards.

AI agent prompts for marketing teams

In the weeds building assets, tracking usage, or coordinating campaigns? These agent prompts give you the insights you need to support sellers and optimise fast.

AI agent prompts for content governance and optimisation

• “Which assets are used often but have low engagement?”
• “Which collateral has not been pitched by any reps lately?”
• “Create a ‘retire or refresh’ list with asset priority ranking.”
• “How often are sales teams using our newest pitch decks?”
• “Which sales assets are overdue for review or expiration?”
• “List outdated content still being used by field sales teams.”

AI agent prompts for sales rep support and play adoption

• “Which sales plays have the most content engagement?”
• “Compare sales pitch activity by region and content type.”
• “How often is [asset name] used in digital sales rooms?”
• “Which reps shared this case study over the last month?”
• “List reps not using key plays and their deal outcomes.”
• “Show which plays top performers use in late-stage deals.”

AI agent prompts for GTM campaign planning and execution

• “Which channels drove the most closed deals in Q3?”
• “Highlight the top content driving buyer engagement.”
• “What’s the ROI on [content name], based on closed opps?”
• “Show me which collateral impacts revenue lift the most.”
• “Summarise campaign performance using engagement data.”
• “Which assets perform best across all of our segments?”

Bonus: Advanced AI agent prompts for sales managers

• “You’re a campaign coordinator prepping the next mail‑out. Pull recent email‑linked asset engagement metrics (open, click, share) cross‑referenced with upcoming target persona segments. Output a sequence recommendation to share with reps.”
• “You’re a usability specialist tracking content findability. Enablement search logs show which keywords reps are using but no matches returned. Extract the top-10 search terms, map to absent assets, and propose a content-creation brief.”
• “You’re a shared-services marketer supporting global sites. Compare asset translations usage by locale and rep participation rate. Highlight locales where share‑rate < 20 % of English baseline. Prepare localised content-update suggestions.”

AI sales agent pro tip: Not sure which particular case study to promote this week? Ask your AI agent, “Which asset got the most shares in [sales region/territory here]?” Just like that, you have real usage data, not a hunch from Slack chats.

AI agent prompts for marketing leaders

From proving programme impact to doubling down on campaigns that are working, these prompts make it easier to align with sales and drive results that matter.

AI agent prompts for content ROI and seller utilisation

• “Which assets are overused but have low engagement?”
• “How many reps used our newest pitch deck this week?”
• “Pull data on content access and use rates for each rep.”
• “Show which collateral has the most buyer engagement.”
• “Explain how sales asset performance differs by industry.”
• “Identify gaps in content versions across all our regions.”

AI agent prompts for GTM campaign and programme impact

• “Compare campaign‑generated opps to pipeline impact.”
• “Show a visual flow diagram of campaign → asset → close.”
• “Track usage of launch assets by geography and rep level.”
• “What content do closed-won accounts most engage with?”
• “Which assets most influenced marketing pipeline in Q3.”
• “List Q2 closed-won opps influenced by [campaign name].”

AI agent prompts for go-to-market alignment and feedback

• “Which reps skipped key messaging in recent plays?”
• “List feedback trends from reps on launch content.”
• “Which assets were flagged as confusing by sellers?”
• “Summarise rep comments on pitch decks by team.”
• “Show content tagged as off-brand by sales managers.”
• “Which personas are reps targeting with wrong assets?”

Bonus: Advanced AI agent prompts for marketing leaders

• “You’re a VP of Marketing aligning with new revenue goals. Analyse content usage by all sales teams over the last quarter. Correlate usage to closed deals >$500K. Produce a ranked list of the top-5 assets that influenced closed-won.”
• “You’re planning next quarter’s GTM messaging. Scan buyer replies and sales call transcripts for emerging themes or objections. Summarise the top-3 narrative shifts. Prepare a slide for leadership with recommended messaging adjustments.”
• “You’re enabling the field launch of a new product. Monitor usage of launch assets by geography and rep level. Track time‑to‑first‑use post‑launch. Create a dashboard showing adoption curves and recommending regions needing reinforcement.”

AI sales agent pro tip: Asking,“Which content saw the most buyer clicks this week?” can instantly tell you what collateral and messaging are resonating with leads—and which sales enablement assets belong in the content graveyard.

AI agent prompts for sales enablement

These prompts help enablement teams reinforce the right behaviours with reps and ensure every BDR is ready to deliver from day one of discovery to deal close.

AI agent prompts for sales training and certification

• “How many reps completed this new training path?”
• “Who skipped the last objection-handling lesson?”
• “Note which sales training aligns to rep progress.”
• “Which learning path has the worst completion rate?”
• “Which reps always skip required training content?”
• “What’s the completion rate on this certification?”

AI agent prompts for sales onboarding and readiness

• “Who hasn’t finished the sales onboarding path yet?”
• “Show learning path impact on early deal stages.”
• “Which reps haven’t completed onboarding milestones?”
• “Summarise call themes that show knowledge gaps.”
• “Break down the readiness of our new enterprise reps.”
• “List reps behind on readiness by role and location”

AI agent prompts for reinforcement and programme design

• “Compare training outcomes by segment and skill.”
• “Show which reps improved after practice sessions.”
• “What content isn’t linked to learning paths yet?”
• “What sales calls show low readiness on key topics?”
• “Which reps skipped the pricing play in Q3 deals?”
• “What’s the usage rate of our content by sales team?”

Bonus: Advanced AI agent prompts for sales enablement

• “You’re reviewing selling skill gaps after this quarter’s rep survey. Pull knowledge‑check data. List the topics with a < 70 % pass‑rate. Map to actual rep performance dips. Build a replenishment plan with target group and timeline.”
• “You’re designing a micro‑learning campaign for objection styling. From recent sales call transcripts, extract the top objection types. Create a short‑form practice simulation for each objection. Output embedded links ready for field deployment.”
• “You’re preparing a mid‑year enablement ROI report. Extract usage metrics for the top-10 training modules. Correlate to rep performance improvement (win‑rate uplift). Generate a bar chart plus slide summary for leadership.”

AI sales agent pro tip: Save hours from searching for sales training programme insights. Just ask, “Which reps haven’t finished onboarding and why?” Your AI sales agent will surface gaps, so you can step in before any of your sellers slip.

AI agent prompts for revenue operations

Whether you’re modeling growth, automating processes, or aligning strategy, these AI agent prompts give RevOps the clarity to drive performance at every stage.

AI agent prompts for pipeline and revenue forecasting

• “What’s the average deal velocity by industry and region?”
• “Summarise the gaps between buyer intent and actions.”
• “Identify execution gaps in current GTM programmes.”
• “Create a win‑loss chart filtered by territory and play.”
• “List 3 factors negatively impacting pipeline growth.”
• “Compare projected vs. actual Q2 closed revenue.”

AI agent prompts for process automation and efficiency

• “What sales training was completed before high-win deals?”
• “Which reps skip the sales playbook in key opp stages?”
• “Show hours spent on meeting follow-ups by sales team.”
• “Which sales reps skip their post-call note entry most often?”
• “Highlight the time saved from auto-enrolled rep training.”
• “List the average follow-up lag time by rep after initial pitches.”

AI agent prompts for tech stack and strategic planning

• “Prepare a system‑integration audit of our GTM tech stack.”
• “Map tech use by GTM function, and flag under-used tools.”
• “Model growth using pipeline, deal size, and headcount data.”
• “Recommend tech consolidation options with estimated savings.”
• “Which GTM roles rely on more than five daily platforms?”
• “Forecast rep ramp time impact on new quarterly bookings.”

Bonus: Advanced AI agent prompts for revenue operations

• “You’re a RevOps analyst reviewing pipeline health. Perform a win‑loss analysis across regions for the last 12 months. Tie results to play adoption and asset usage. Output a ranked list of region‑play combinations worth scaling.”
• “You’re aligning CRM data quality with forecasting accuracy. Scan opportunities missing key fields (stage, value, close date) for the past six months. Calculate resolution impact on forecast error. Present findings in a clean table.”
• “You’re setting strategic revenue targets for next year. Combine current pipeline, average deal size trends, win rates, and rep headcount to model three growth scenarios (conservative, base, aggressive). Create a comparative slide deck.”

AI sales agent pro tip: Before your next go-to-market team sync, ask, “Which specific content and training impacted pipeline velocity last month?” The best AI sales tools connect all the dots without a single spreadsheet filter required.