Komo Search
AI revenue engine turning buyer signals into closed deals.
Best for RevOps and GTM teams wanting a single platform for signal detection, account scoring, and outreach automation. The cited briefs are a genuine trust builder, but the LinkedIn-centric signal model may miss broader intent data. Priced at $99/mo starter, $399/mo growth; consider Apollo or Clay if you need broader data or lower entry cost.
Verified 11h ago · liveness 95/100 · cite: rightaichoice.com/tools/komo-search
- RevOps leaders needing a single platform for signal, sequence, and CRM work
- Sales teams wanting automated meeting prep and account research
- Founders building pipeline without dedicated SDRs
- GTM engineers looking to reduce manual multi-tool workflows
- Teams that need broad intent data beyond LinkedIn signals
- Organizations with highly custom CRM workflows that resist automation
- Solopreneurs on a tight budget (starter plan is $99/mo but still limited)
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Skip Komo if you need broad third-party intent data beyond LinkedIn or have a highly custom CRM workflow that resists automation.
Overage charges for action credits beyond plan limits (no public overage rate)
Komo's pricing is competitive for RevOps platforms: Starter $99/mo (1 seat, 20K credits) vs. Apollo ($149/seat/mo) or Clay ($149+/mo). Growth $399/mo (5 seats, 100K credits) suits scaling teams. Enterprise custom, typically lower than hiring a GTM engineer ($300k/yr). Cheaper than ZoomInfo ($15k+/yr) but not a budget tool for solopreneurs.
In short
Komo Search — AI revenue engine turning buyer signals into closed deals. Best for RevOps leaders needing a single platform for signal, sequence, and CRM work, Sales teams wanting automated meeting prep and account research, Founders building pipeline without dedicated SDRs. Plans from $99/mo.
What's new in Komo Search
Checked 5 days agoAcross the latest 3 updates: 3 news mentions.
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Viability Score
How likely is Komo Search to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- Signal monitoring across LinkedIn and web
- Account scoring by fit, timing, and connection
- AI-generated meeting briefs with cited sources
- Personalized QBR, expansion deck, and renewal brief generation
- Multi-channel campaign automation
- CRM sync and hygiene automation
- Action credits for outbound tasks
- Playbooks and sequence templates
- Tabular enrichment and scoring
- Deep research and action agents
- Role-based access and tenant isolation
- SOC 2 Type II, ISO 27001, GDPR, HIPAA-ready
- Custom models and workflows (Enterprise)
- SSO/SCIM/audit logs (Enterprise)
- Forward-deployed engineer (first 90 days, Enterprise)
About Komo Search
Komo Search is an AI-powered revenue engine that automates the entire go-to-market workflow, from signal detection to deal closure. Designed for RevOps leaders, sales teams, and founders, it monitors warm signals from LinkedIn and web activity, then scores accounts by fit, timing, and connection strength. Instead of cold lists, you get prioritized accounts with a reason to buy. Key features include signal monitoring across LinkedIn and the web, AI-generated meeting briefs with cited sources (pulling from emails, calls, and notes), personalized QBRs, expansion decks, and renewal briefs. The platform also handles CRM hygiene and multi-channel campaigns, replacing point tools like Apollo or ZoomInfo. It integrates with Gmail, Outlook, Salesforce, HubSpot, Attio, and calendars. Built for trust, Komo is SOC 2 Type II, ISO 27001, GDPR compliant, and HIPAA-ready. It uses end-to-end encryption and role-based access. The evidence behind every draft builds confidence in AI outputs. However, its signal scope is LinkedIn-centric, missing broader intent data from G2 or review sites. Compared to Apollo or Clay, Komo offers a more unified workflow but a narrower data scope. Where Komo differentiates is in its cited, source-backed automation. Every brief, email, or deck shows why each line was personalized. This transparency makes it easier for teams to trust and adopt AI-led outreach. It's best for RevOps, GTM engineers, and founders who want quality pipeline without juggling multiple tools.
Behind the Verdict
Komo Search positions itself as the 'AI revenue engine' that goes from signal to closed deal in one platform. We'd reach for this when your team is drowning in disconnected tools—Apollo for data, Outreach for sequences, and manual research for meeting prep. Komo collapses those steps: it monitors LinkedIn and web signals, scores accounts, generates cited briefs, and automates CRM updates and multi-channel campaigns. The evidence-based drafts are a genuine differentiator; reps can see exactly why a line was personalized, which builds trust in AI-assisted outreach. However, its signal scope is heavily LinkedIn-centric, missing broader intent data from sites like G2 or review platforms. If your team relies on those signals, you'll need a complementary tool. Compared to Apollo or Clay, Komo offers a more unified workflow but a narrower data scope and higher entry cost ($99/mo vs. Apollo's $49/mo per seat). For RevOps leaders who want quality over volume and are willing to trade breadth for depth, Komo is a strong bet. It's especially good for teams that hate CRM hygiene work—Komo automates updates from outreach and meetings. The free 7-day trial is a low-risk way to test the signal-scoring and brief generation with your own data. That said, solopreneurs on a tight budget may find the starter plan limiting (only 1 LinkedIn sender seat, 20k action credits). If you need broad intent data or a lower entry cost, Apollo or Clay may be a better fit. In practice, Komo shines as a RevOps layer that keeps signal, sequence, and CRM work connected—a worthy investment for teams that value pipeline quality over quantity.
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Real-world workflow fit
Concrete scenarios for the personas Komo Search actually fits — and what changes day-one when you adopt it.
You connect Gmail, Outlook, calendar, Salesforce, and HubSpot. Define ICP signals like LinkedIn posts about warehouse automation. Komo monitors 142 warm signals, scores accounts, and auto-generates meeting briefs with cited sources. You review and approve before each call.
Outcome: Pipeline quality improved; reps spend 2 fewer hours per day on research and CRM updates.
Sign up, connect Gmail and LinkedIn, define ICP (VP Ops at logistics companies). Komo surfaces warm leads (e.g., Eli Park at DHL). You get a brief with context and suggested opener. One weekly signal review generates 5 qualified meetings.
Outcome: Weekly pipeline generated without hiring a full-time SDR.
Use Growth plan with 5 Signal Agents. Create multi-channel campaigns (email + LinkedIn) for accounts scoring high on fit and timing. Auto-update CRM, track engagement. Generate expansion QBRs from collected data for existing customers.
Outcome: Reps stay focused on closing; manual sequence management and CRM admin reduced by 70%.
Use Cases
- RevOps leaders consolidate signal, sequence, and CRM into one operating layer.
- Sales teams automate meeting prep and account research with cited briefs.
- Founders generate pipeline weekly without dedicated SDRs.
- GTM engineers automate multi-channel campaigns and CRM updates.
- Account managers prepare expansion briefs and QBRs from collected data.
- SDRs get prioritized warm leads with context and suggested next steps.
Models Under the Hood
as of 2026-07-06
Limitations
- Komo's signal monitoring is primarily LinkedIn-centric, which may miss intent from other channels like G2 or product usage events.
- The free tier is limited (only 7-day trial), and paid plans start at $99/mo—potentially steep for small teams.
- Integration depth varies; while it connects to major CRMs, custom workflows may require manual setup.
- The platform relies on action credits, and high-volume teams may need to budget carefully.
as of 2026-06-25
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Komo Search tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Starter
$99/mo
Ideal for
Solo SDR or founder running outbound with up to 20K credits/mo
What this tier adds
Starting paid tier; includes 20K action credits, 10K accounts/contacts, 1 LinkedIn sender seat, 1 Signal Agent, email+chat support.
Growth
$399/mo
Ideal for
Active outbound team scaling Signal Agents with 100K credits/mo
What this tier adds
Adds 100K credits, 50K accounts/contacts, 5 Signal Agents, priority Slack support, multi-channel campaigns, team workspace up to 5.
Enterprise
Custom/mo
Ideal for
Large organizations needing custom models, SSO, and white-glove migration
What this tier adds
Custom credits/limits, unlimited accounts/contacts/senders/Signal Agents, dedicated CSM, forward-deployed engineer for 90 days.
Where the pricing makes sense
The company stage and team size where Komo Search's pricing actually pencils out — and where peers do it cheaper.
Komo's pricing is competitive for RevOps platforms: Starter $99/mo (1 seat, 20K credits) vs. Apollo ($149/seat/mo) or Clay ($149+/mo). Growth $399/mo (5 seats, 100K credits) suits scaling teams. Enterprise custom, typically lower than hiring a GTM engineer ($300k/yr). Cheaper than ZoomInfo ($15k+/yr) but not a budget tool for solopreneurs.
Setup time & first value
How long it actually takes to get something useful out of Komo Search — broken out by persona, not the marketing-page minute.
For most users: 2 minutes to sign in (SSO), then connect Gmail/Outlook and calendar—Komo studies your relationships. Define ICP and signals in 30 minutes. First warm signals appear within hours. Full workflow (research, prep, CRM sync) runs autonomously after a few days.
Switching to or from Komo Search
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Apollo: Export your account lists and sequences; integrate with your CRM; Komo's warm-first approach replaces cold-heavy workflows.
- →From Clay: You can keep Clay for enrichment; Komo adds signal monitoring and prep on top.
- →From spreadsheets: Import your account lists as CSV into Komo; it scores and prioritizes them.
- →From manual processes: Connect your email and CRM; Komo learns your writing voice and starts generating drafts immediately.
- ↗To Apollo: Export accounts and sequences from Komo (limited native export); re-import into Apollo.
- ↗To Clay: Export account data as CSV; Clay can handle enrichment but lacks signal monitoring.
- ↗To a custom stack: Use CRM's API to pull history; Komo data can be exported via CSV (contact support).
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