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AI software · Komo

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Komo

The AI revenue engine that turns buyer signals into cited briefs, outreach, and CRM updates on autopilot.

Open for Partnersai sales agentrevenue operationssignal-based sellingsales engagementpipeline generationFree trial · 7 daysListed since May 2026

Partner summary

The offer at a glance

A quick read on buyer fit, pitch, economics, and promotion fit.

Best buyer

RevOps leaders

Main outcome

Reps trust the autopilot because every drafted line has visible evidence behind it.

Commission

To be confirmed

Best channels

LinkedIn, X, Email, SEO

Terms

Founder approval required before any channel or claim is used. Avoid representing Komo as Stripe-verified or as managed checkout ready until founder confirms. Komo's privacy stance — that Customer Data is never used to train general-purpose AI — must be preserved in any positioning.

Main pitch

Komo is the AI revenue engine that puts the repetitive work between your CRM and inbox on autopilot. It monitors buyer signals, scores your TAM by fit, timing, and connection,...

Economics

Partner terms

Commission, pricing model, and review timing for this listing.

Commercial terms

Partner terms

Founder confirmation required before partners promote this listing.

Commission
To be confirmed
Pricing
Subscription
Duration
Review period
30 days

Pricing tiers

Starter

Primary

$99.00/ month

Tracks Self Serve Trial

  • 20,000 action credits / month
  • 10,000 accounts + contacts
  • 1 LinkedIn sender seat
  • 1 active Signal Agent
  • Web enrichment

Growth

$399/ month

Tracks Self Serve Trial

  • Everything in Starter
  • 100,000 action credits / month
  • 50,000 accounts + contacts
  • 5 active Signal Agents
  • Priority Slack support

Enterprise

Custom/ custom

Tracks Sales Assisted

  • Everything in Growth
  • 500,000+ action credits / month
  • Unlimited accounts, contacts, senders, and Signal Agents
  • Custom models and workflows
  • Dedicated CSM + Slack Connect

Who this converts for

The buyers this offer is shaped for. Match your reach to the strongest audience fit.

medium
B2B

RevOps leaders

RevOps teams stitching together signal, sequence, and CRM work across disconnected point tools.

B2B SaaSVP RevOpsDirector of Revenue Operations

Pain points

  • Signal, sequence, and CRM work spread across disconnected tools
  • CRM hygiene is a constant friction tax
  • No single audit trail for what agents and reps did
  • Disconnected point tools across signal, sequence, and CRM work
  • Pipeline padded with low-intent accounts
  • Reps doing manual account research outside work hours
  • CRM hygiene as a friction tax after every meeting
  • Outbound that feels generic and gets ignored

Desired outcomes

  • One operating layer connecting research, outreach, prep, and follow-up
  • Clean CRM updates with a thirty-second approval
  • Auditable evidence behind every agent action
  • Higher-quality pipeline scored by fit, timing, and connection
  • Cited briefs before every call
  • Personalized outreach drafted automatically
  • CRM hygiene as a thirty-second approval
  • An auditable record of every agent action
high
B2C

Founders running outbound

Founder-led GTM teams who need weekly pipeline generation without building the machine themselves.

Early-stage B2B SaaSFounderCEO

Pain points

  • No time to build a repeatable revenue machine
  • Manual research consuming weekends
  • Lack of a signal-based outbound system

Desired outcomes

  • A weekly pipeline flywheel without hiring a RevOps team
  • Signal-based outreach that lands meetings
  • Hands-on partnership during early outbound experiments
high
B2C

Sales leaders

VPs and heads of sales who want pipeline quality before activity volume.

B2B SaaSVP SalesChief Revenue Officer

Pain points

  • Pipeline padded with low-intent accounts
  • Reps spending hours on manual research instead of selling
  • No reliable way to score TAM by timing and warm connection

Desired outcomes

  • Pipeline prioritized by fit, timing, and connection
  • Reps focused on deals, not data entry
  • Quality pipeline that converts at higher rates
medium
B2C

Sales teams (AEs and SDRs)

Quota-carrying reps and SDRs who need a researcher and operator on every account.

B2B SaaSAccount ExecutiveSDR

Pain points

  • Switching between eight tools to prep one call
  • Generic outbound that gets ignored
  • Manual account research on weekends

Desired outcomes

  • Cited briefs before every call
  • Personalized outreach drafted automatically
  • Follow-up and CRM updates handled in the background

VP RevOps

Turn buyer signals into qualified pipeline and run the research, outreach, prep, and CRM work between every deal stage on autopilot.

VP RevOpsChief Revenue Officer

B2B SaaS revenue teams — RevOps

Turn buyer signals into qualified pipeline and run the research, outreach, prep, and CRM work between every deal stage on autopilot.

VP RevOpsChief Revenue Officer

Why partners convert here

When to pitch this, and the outcomes the buyer actually gets.

Use cases

  • Discover warm leads from buyer signals
  • Discover warm leads from buyer signals
  • Score TAM by fit, timing, and warm connection
  • Score TAM by fit, timing, and warm connection
  • Generate cited meeting briefs and prep
  • Generate cited meeting briefs and prep
  • Close and manage with personalized assets
  • Close and manage with personalized assets
  • Keep CRM hygiene current automatically
  • Keep CRM hygiene current automatically

Outcomes

Reps trust the autopilot because every drafted line has visible evidence behind it.

Evidence

Founders stop doing manual account research on weekends.

Evidence

CRM hygiene goes from a friction tax to a thirty-second approval after every meeting.

Evidence

Higher-quality pipeline scored by fit, timing, and connection

Cited briefs before every call

Personalized outreach drafted automatically

CRM hygiene as a thirty-second approval

An auditable record of every agent action

Trusted by 1000+ teams

Evidence

Aligned with SOC 2 Type II, ISO 27001, GDPR, and CCPA

Evidence

Customer Data is never used to train general-purpose AI

Evidence

Auditable agent actions

Evidence

Before · After

Discover warm leads from buyer signals

Before

Reps work cold lists and chase accounts with no reason to buy right now.

After

Signal Agents surface accounts the moment a relevant trigger fires, with the warm path in.

Expected outcome: Higher-quality pipeline built from timed buyer intent rather than static ICP filters.

What makes this different

Where this offer beats the alternatives.

  • End-to-end workflow from signal monitoring through CRM updates, not a single point tool

  • Cited evidence under every draft so reps can trust the autopilot

  • Complete audit trail of every agent action with prompt, tools, and output

  • SOC 2 Type II, ISO 27001, GDPR, and CCPA aligned — designed for enterprise security review

  • Customer Data is never used to train general-purpose AI models

  • Approval-in-the-loop on every send that matters

Promotion strategy

Partner playbook

Angles, questions, objections, and inputs to keep outreach sharp.

Value proposition

The AI revenue engine that turns buyer signals into cited briefs, outreach, and CRM updates on autopilot.

How to pitch

Komo is the AI revenue engine that puts the repetitive work between your CRM and inbox on autopilot. It monitors buyer signals, scores your TAM by fit, timing, and connection, generates cited briefs from your calls and notes, drafts personalized outreach, and keeps CRM updates current — with a human on every send that matters. Pitch it to RevOps, sales leaders, AEs, and founders tired of stitching together Apollo, ZoomInfo, Clay, and manual research.

Positioning

One revenue operating system from signals to closed-won — replacing fragmented enrichment, prospecting, prep, and CRM-hygiene tools with one auditable workflow.

Best angles to test

  • Consolidate Apollo + ZoomInfo + Clay + manual research into one workflow
  • Cited briefs and evidence under every AI draft
  • Security-approvable AI agents touching CRM, inbox, and calendar
  • Pipeline quality before activity volume
  • CRM hygiene as a thirty-second approval after every meeting
  • Komo is the AI revenue engine that automates the work between CRM and inbox
  • Monitors buyer signals, scores TAM by fit, timing, and connection, and surfaces warm paths
  • Generates cited meeting briefs from calls, emails, and notes
  • Drafts personalized outreach with evidence visible to the rep
  • Keeps CRM hygiene current with a thirty-second approval
  • SOC 2 Type II, ISO 27001, GDPR, and CCPA aligned
  • Customer Data is never used to train general-purpose AI models
  • Plans start at $99/month with a 7-day free trial

Angles to avoid

  • Do not claim guaranteed revenue
  • Do not claim results are typical
  • Do not claim official partnership before founder approval
  • Do not claim Stripe-verified payouts
  • Do not claim managed checkout is ready
  • Do not claim Komo trains on Customer Data — Komo states it does not use Customer Data to train general-purpose AI models

Discovery questions

  • What tools do you currently use for signal monitoring, enrichment, and outbound?
  • How much of your reps' week goes to manual research vs. selling?
  • How clean is your CRM after every meeting today?
  • Has your security team approved AI agents touching CRM, inbox, and calendar?
  • Are you trying to consolidate point tools or add a new layer on top?

Disqualifiers

  • Consumer products
  • transactional sales motions without account research
  • or teams unwilling to connect email
  • calendar
  • and CRM.

Target keywords

ai revenue engineai sales agentsignal-based sellingsales engagement platformai meeting prepcrm automationpipeline generationoutbound automationrevenue operating systemai sdr

Objections & responses

  • We already use Apollo, ZoomInfo, and Clay — why do we need another tool?

    Response: Komo positions as the operating layer that connects signal monitoring, enrichment, research, prep, outreach, and CRM updates into one workflow, instead of stitching point tools together. Validate fit on a real ICP during the 30-minute demo before consolidating.

  • Can our security team approve AI agents touching CRM and email?

    Response: Komo is SOC 2 Type II, ISO 27001 aligned, GDPR and CCPA compliant, with end-to-end encryption, tenant isolation, role-based access, and a complete audit trail of every agent action. Direct security teams to the trust center for the SOC 2 report and DPA.

  • Will Komo train on our pipeline and CRM data?

    Response: No. Komo states Customer Data is never used to train general-purpose AI models and that third-party model providers are contractually prevented from training on it.

  • Will reps actually trust AI-generated outreach?

    Response: Every draft includes cited evidence showing why each line was personalized, which Komo's customers cite as the reason teams trust the autopilot.

  • We're too small for an enterprise platform.

    Response: Komo offers a Starter plan at $99/month for solo SDRs and founders, plus a design-partner motion for founder-led teams running outbound without a RevOps function.

Rules

Promotion rules

Where you can promote, what is restricted, and what the founder requires.

Allowed channels

LinkedInXEmailSEOYouTubeCommunitiesNewsletterBlogPodcastPaid Social
AI-generated content
Yes
Content reuse
No
Founder approval
Yes

Approved claims

  • Komo is the AI revenue engine that automates the work between CRM and inbox
  • Monitors buyer signals, scores TAM by fit, timing, and connection, and surfaces warm paths
  • Generates cited meeting briefs from calls, emails, and notes
  • Drafts personalized outreach with evidence visible to the rep
  • Keeps CRM hygiene current with a thirty-second approval
  • SOC 2 Type II, ISO 27001, GDPR, and CCPA aligned
  • Customer Data is never used to train general-purpose AI models
  • Plans start at $99/month with a 7-day free trial

Claims to avoid

  • Do not claim guaranteed revenue
  • Do not claim results are typical
  • Do not claim official partnership before founder approval
  • Do not claim Stripe-verified payouts
  • Do not claim managed checkout is ready
  • Do not claim Komo trains on Customer Data — Komo states it does not use Customer Data to train general-purpose AI models

Compliance notes

  • Founder approval required before any channel or claim is used. Avoid representing Komo as Stripe-verified or as managed checkout ready until founder confirms. Komo's privacy stance — that Customer Data is never used to train general-purpose AI — must be preserved in any positioning.

Evidence

Proof & trust signals

Claims, evidence links, and operational trust signals partners can lean on.

Proof points

  • Reps trust the autopilot because every drafted line has visible evidence behind it.
  • Founders stop doing manual account research on weekends.
  • CRM hygiene goes from a friction tax to a thirty-second approval after every meeting.
  • Higher-quality pipeline scored by fit, timing, and connection
  • Cited briefs before every call
  • Personalized outreach drafted automatically
  • CRM hygiene as a thirty-second approval
  • An auditable record of every agent action
  • Trusted by 1000+ teams
  • Aligned with SOC 2 Type II, ISO 27001, GDPR, and CCPA
  • Customer Data is never used to train general-purpose AI
  • Auditable agent actions

Proof links

About Komo

Komo is an AI revenue operating system that runs the loop between your CRM and inbox. It monitors buyer signals, scores your TAM by fit, timing, and warm connection, generates cited meeting briefs from your calls and notes, drafts personalized outreach and follow-up, and keeps CRM records current — with a human approval on every send that matters. Built for RevOps, sales leaders, sales teams, and founders who need quality pipeline and clean execution without rebuilding their stack.

komo.aiListed since May 2026

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Company activation will confirm the remaining commercial and tracking details.

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