Empler Pricing in 2026: How Much Does Empler Really Cost?

Empler pricing starts at $19/month for the Pro plan and $499/month for the Business plan, with custom Enterprise pricing for organizations needing 200,000+ monthly credits, according to Empler's official pricing page. All paid plans include unlimited users and unlimited automation creation, with a credit-based consumption layer for LLM, agent, and integration usage on top of the base subscription fee. Note that third-party directories such as GetApp and Capterra list a different tier structure ($99, $399, $1,499/month) that differs from Empler's current pricing page. Treat the Empler.ai pricing page as the authoritative source when budgeting.

For go-to-market, sales ops, and RevOps buyers evaluating multi-agent automation platforms in 2026, understanding how Empler's hybrid pricing works, subscription plus credits, is essential. Token burn varies across LLM models and workflow complexity, and integration credits behave differently from LLM credits. This guide breaks down every Empler plan, maps costs to team size, explains the credit economics, walks through a three-year TCO worked example, and covers negotiation levers for Pro, Business, and Enterprise contracts.

Key Takeaways

• Empler's Pro plan starts at $19/month with 1,000 minimum credits and up to 5,000 tasks monthly.
• Empler's Business plan starts at $499/month with 25,000 minimum credits and up to 100,000 tasks monthly.
• Enterprise pricing is custom, with a floor of 200,000 credits/month and unlimited task ceilings available on negotiation.
• All plans include unlimited users. The differentiator between tiers is credit allocation, task ceiling, and support depth, not feature access.
• Credits are token-based for LLM and agent usage and fixed per call for integration usage. Seat price alone does not capture your full cost.
• Third-party listings on GetApp and Capterra show a different pricing structure ($99/$399/$1,499/month). Treat the Empler.ai page as the current source of truth.
• Multi-year Enterprise deals can typically yield meaningful annual savings, consistent with standard SaaS procurement benchmarks published by Vendr.
• Three-year TCO for a mid-market GTM team is an illustrative scenario; teams should run a 30-day pilot to right-size credit allocation before committing to a contract.

What Empler Sells in 2026

Empler is a no-code agentic AI automation platform built on a multi-agent framework that lets specialized AI agents collaborate on go-to-market, marketing, and sales tasks. The platform's core premise is that a team of purpose-built agents, a prospect-finder, an enricher, a researcher, and an outreach writer handles complex, multi-step GTM workflows. 

The product includes four primary capability layers:

• Multi-agent orchestration. Users configure teams of AI agents that run continuously, handling multi-step tasks such as prospect discovery, company research, list enrichment, competitor monitoring, and ICP-aligned outreach.
• B2B database creation and enrichment. The platform surfaces real-time company and contact data and enriches lists with firmographic, technographic, and signal-based attributes.
• Visual workflow builder. A no-code canvas lets ops and RevOps teams assemble multi-agent workflows without engineering help.
• LLM and model library. Empler connects to leading AI models, including GPT, Claude 3.5, Gemini 1.5, Llama 3, and Mixtral, per GetApp.
• Templates. Pre-built AI Agent Team templates let teams tackle common GTM challenges, such as outbound sourcing, account research, and competitor watchlists, without building from scratch.

Empler's G2 profile highlights Pipedrive integration and fast productivity gains among early adopters, with reviewers noting the support team is responsive and invested in customer outcomes.

Why Empler Pricing Matters in 2026

Three 2026 dynamics make Empler's cost structure worth understanding carefully before purchasing.

First, agentic AI pricing is mid-transition industry-wide. 

Platforms historically sold per seat are migrating to hybrid models that layer usage-based credits on top of subscription fees. Token-based billing can introduce month-to-month variability, especially when teams adopt models that carry higher per-token costs. Empler's hybrid model reflects where the category is heading.

Second, GTM budgets are under tighter scrutiny. 

Finance teams are asking harder questions about AI software ROI in 2026. Credit-based models require more upfront planning because consumption is harder to forecast than flat per-seat pricing.

Third, Empler sits in a growing competitive set. 

The no-code agentic GTM category includes multiple platforms with different pricing architectures. Understanding Empler's exact cost model is necessary before comparing it to peers on a true total-cost basis.

Empler Plan Breakdown

Empler publishes three paid tiers on its official pricing page: Pro, Business, and Enterprise. Below is what each plan covers, who it is built for, and where the cost sensitivity lies.

Pro  Starting at $19/month

The Pro plan is positioned for individual operators, founders, and small GTM teams experimenting with agentic automation. At $19/month, it is the lowest-friction entry point to the platform.

• Credit allocation: 1,000 credits per month minimum
• Task ceiling: Up to 5,000 task completions monthly
• Users: Unlimited
• Features: Full access to the automation builder, all agent types, LLM model library, integrations, and templates
• Support: Standard self-service support, community resources, documentation

Pro is designed for solo users and small teams, validating workflows before scaling. The 1,000-credit floor is modest; a single multi-step enrichment run using a frontier LLM can consume several hundred credits depending on token volume, so teams that move past experimentation typically upgrade.

Business  Starting at $499/month

The Business plan is Empler's core GTM team tier. At $499/month, it steps up credit allocation and task ceilings significantly over Pro.

• Credit allocation: 25,000 credits per month minimum
• Task ceiling: Up to 100,000 task completions monthly
• Users: Unlimited
• Features: Full platform access, same as Pro, with higher throughput and priority routing for agent execution
• Support: Priority support tier, access to onboarding materials, faster response SLAs

Business is sized for sales-ops, RevOps, and GTM teams running production workloads weekly, ICP enrichment, daily prospect refreshes, competitor monitoring agents, and outbound content generation at volume. Teams evaluating businesses should project credit burn against their expected workflow volume before committing.

Enterprise  Custom Pricing

The Enterprise plan is quote-based, with a starting floor of 200,000 credits per month and task ceilings that can scale to unlimited depending on the contract.

• Credit allocation: 200,000 credits per month minimum, scalable on request
• Task ceiling: 200,000 to unlimited
• Users: Unlimited
• Features: Everything in Business, plus enterprise-grade controls
• Support: Dedicated account manager, onboarding calls, private integration development, paid proof-of-concept option, custom feature development

Enterprise is built for organizations standardizing on Empler across multiple GTM and marketing teams, or for those with security, compliance, or private-integration requirements. As a general procurement benchmark, Vendr's marketplace data shows enterprise AI tools typically land between $50,000 and $250,000 in annual contract value for mid-market deployments.

Historical Pricing Reference

Several third-party directories still reference a different Empler pricing architecture. GetApp lists an Explorer tier at $99/month, a Superior tier at $399/month, and an Ultimate tier at $1,499/month. Capterra shows a similar structure. Buyers should treat the Empler.ai pricing page as canonical when budgeting, as it reflects the current Pro/Business/Enterprise tier structure.

Cost by Team Size

Empler's subscription-plus-credits model means cost scales along two axes: subscription tier and workload volume. Below are directional planning figures for common team configurations on the Business plan, which is the typical fit for GTM teams running production workloads. Confirm final credit allocation and pricing in your quote, as Empler's pricing page indicates unlimited users and does not specify per-seat billing.

• For a solo operator on Business: $499/month subscription, with 25,000 monthly credits included. For a small GTM team of three sharing one Business subscription, the same $499/month applies with credits shared across workflows. For a mid-market RevOps team running heavier automation volume, the practical question becomes whether the 25,000-credit floor is sufficient or whether credit top-ups or an Enterprise contract are needed.
• For Pro-plan teams: the $19/month subscription comes with a 5,000-credit floor suited for smaller or experimental workloads. Teams hitting the credit floor regularly typically move up a tier or negotiate a custom credit pack.

Credit Consumption Patterns by Workflow

Credit burn varies materially with workflow design and model choice. Directional benchmarks based on typical GTM agent workloads:

• Lead-list enrichment (500 contacts, GPT-4 class model): approximately 3,000–8,000 credits per run
• Weekly competitor monitoring (10 competitors): approximately 1,500–4,000 credits per week
• ICP-aligned outbound content generation (50 accounts): approximately 5,000–12,000 credits per batch
• Agentic prospecting with multi-step research (100 accounts): approximately 10,000–25,000 credits per run

Teams running all four workloads weekly can exhaust a Business plan's 25,000-credit floor quickly and should model credit top-ups or an Enterprise contract before signing.

Additional Costs to Plan For

Beyond the base subscription, several additional cost categories deserve budget lines.

• Credit overage and top-ups. Credit consumption beyond a plan's monthly floor triggers additional charges. LLM and agent credits scale with model pricing, input token volume, and output token volume. Overage pricing is typically negotiable in enterprise deals; lock in overage rates at contract signing. Teams moving from experimentation to production often see credit burn increase significantly in the first 90 days as automations stabilize. Build a 25–50% buffer into year-one credit budgets.
• Third-party model costs (indirect). Empler passes through LLM costs via credits, so frontier model adoption increases the effective cost per workflow. Teams can manage this by routing non-critical steps to lighter models and reserving frontier models for reasoning-heavy steps.
• Integration and data-source fees. While Empler includes integrations in its base platform, some third-party data sources, contact databases, intent data, and web-scraping APIs may require separate subscriptions. Organizations pulling from premium B2B data providers should budget accordingly based on volume.
• Implementation and onboarding. Pro and Business plans are self-serve. Enterprise plans include onboarding calls and dedicated account management, with a paid proof-of-concept option. Internal implementation time building workflows, integrating CRMs, and training teams is the hidden cost for most buyers. Confirm specific onboarding timelines and scope with Empler during your evaluation.
• Annual renewal uplift. Most SaaS platforms carry 5–10% annual renewal uplift unless capped contractually. Vendr's procurement benchmarks show that capping annual uplift at 3–5% on multi-year deals is a standard negotiation point for enterprise buyers.

Total Cost of Ownership: A 3-Year Illustrative Example

The following is an illustrative three-year TCO model for a mid-market GTM team on the Business plan running weekly enrichment, daily competitor monitoring, and monthly outbound content generation. Actual figures will vary based on team size, credit burn, negotiated rates, and external data needs. Teams should run a 30-day pilot to validate these assumptions against real usage before committing to a contract.

Year 1 illustrative assumptions:

• Business plan subscription: $499/month = $5,988 annualized
• Estimated credit overage (30% above floor, directional): additional charges dependent on negotiated overage rate
• Implementation internal time: 40–80 hours of RevOps or ops effort
• External data sources (if applicable): varies by vendor and volume
• Training: 20–40 hours of workflow setup and team onboarding

Year 2 and Year 3 illustrative assumptions:

• Seat count or workflow volume may grow, increasing subscription and credit costs
• Credit burn typically stabilizes as automations mature and workflow design is refined
• Annual renewal uplift (5–10% default, or negotiated cap) applies at renewal
• Ongoing internal maintenance: estimated 100–200 hours per year

3-year TCO summary (illustrative):

For a small team on a single Business subscription with moderate credit usage and no external data feeds, three-year costs may range from approximately $80,000 to $130,000 inclusive of subscription, overage, and internal time. For a larger team with external data dependencies and higher credit burn, three-year costs can increase substantially. Teams should model their specific workflow volume and confirm overage pricing directly with Empler before committing.

How to Get the Best Deal on Empler

Several negotiation and procurement levers are available to buyers evaluating Empler, particularly on Business and Enterprise contracts.

• Commit to a multi-year term. Multi-year commitments are the single largest discount lever in SaaS procurement. Vendr's marketplace benchmarks show two-year contracts typically save 15–20% annually and three-year contracts save 20–30%.
• Cap annual renewal uplift contractually. Default SaaS contracts include 5–10% annual price escalators. Negotiate a 3% cap or a CPI-linked cap to protect against compounding cost increases over a multi-year term.
• Right-size credit allocation before signing. Run a 30-day pilot, measure actual credit burn, then size your allocation. Teams frequently over-provision credits in year one because credit forecasting is unfamiliar territory.
• Bundle credit top-ups rather than upgrading plans. If your team consistently exceeds a plan's credit floor by a modest margin, negotiating a fixed credit top-up pack is often more cost-effective than upgrading to the next tier. Ask for volume pricing on top-ups at signature.
• Run a structured pilot before Enterprise. Empler's Enterprise tier offers a paid proof-of-concept. Use it to validate workflow economics credits per workflow, time saved, and conversion lift before committing to a multi-year contract.
• Negotiate overage rates at contract signing. Credit overage pricing is often flexible in enterprise deals. Lock in rates at contract signing to avoid mid-year surprises.
• Leverage competitive quotes. Having two or three comparable quotes from other agentic GTM platforms strengthens negotiation position without turning the conversation adversarial.
• Align contract start with the fiscal year-end. Vendors are more flexible on pricing and terms near the end of their fiscal year, when additional concessions are often available.

Empler Alternatives for AI-Native GTM Teams

Teams evaluating agentic GTM platforms in 2026 have a range of options with different pricing architectures and capability sets. The comparison below covers the primary alternatives buyers consider alongside Empler.

Landbase - Agentic AI Go-to-Market Platform

What They Do: Landbase is an AI-native GTM platform that automates the end-to-end work of targeting, qualifying, and engaging accounts through agentic, multi-agent workflows. The platform combines a 300M+ verified B2B contact database, 1,500+ enrichment and signal fields, AI qualification, and multi-channel outreach execution in a single system, eliminating the need to assemble multi-tool stacks or manage credit-based consumption models.

Why They're Important: Landbase is the only platform that takes a team from a natural-language prompt to a verified, scored account list to a launched multi-channel campaign without switching tools. GTM-2 Omni, trained on 40M+ B2B campaigns and 175M+ sales conversations, continuously qualifies and prioritizes accounts across the full TAM. Customers report 4–7x higher conversion rates, with outcomes including $400K MRR added by P2 Telecom and 33% more meetings booked by Digo Media without additional headcount. Gartner recognized Landbase as a Cool Vendor 2025 in AI-driven GTM automation.

Key Stats / Metrics:

• 300M+ verified B2B contacts
• 24M+ companies with 1,500+ enrichment fields
• 97%+ database deliverability
• $30M Series A raised in January 2026

Leadership: CEO: Daniel Saks (co-founder, formerly co-CEO of AppDirect, Forbes 30 Under 30)

Founded: 2020

Recent Funding: Series A: $30M (January 2026) Investors: Picus Capital, 8VC, Sound Ventures

Persana AI - AI-Powered Prospecting and Enrichment Platform

What They Do: Persana AI provides an AI-powered prospecting and enrichment platform that helps GTM teams build targeted contact lists, automate data enrichment, and trigger outreach based on buying signals. The platform connects to multiple data providers and automates multi-step prospecting workflows.

Why They're Important: Persana AI offers a waterfall enrichment approach that pulls from multiple data sources to improve contact coverage and accuracy. The platform's signal-based triggering lets teams prioritize accounts showing real-time buying intent, making it a useful option for teams looking to automate prospecting research steps.

Key Stats / Metrics:

• Waterfall enrichment across multiple data providers
• Signal-based outreach triggers
• Integrations with major CRMs and outreach tools

Leadership: CEO: Sriya Maram 

Founded: 2023

Clay - Data Enrichment and Outreach Automation Platform

What They Do: Clay provides a data enrichment and workflow automation platform that aggregates data from 75+ providers and uses AI to research prospects, build lists, and personalize outreach at scale. The platform uses a credit-based pricing model for data enrichment calls.

Why They're Important: Clay is widely used by RevOps and growth teams for its breadth of data integrations and flexibility in building custom enrichment workflows. The platform supports a wide range of use cases from simple list building to complex multi-step research automations, with pricing starting at a free tier and scaling to custom enterprise contracts.

Key Stats / Metrics:

• 75+ data provider integrations
• Credit-based pricing model
• Free tier available with paid plans starting at $149/month

Leadership: CEO: Kareem Amin 

Founded: 2021

How Landbase Redefines the GTM Stack

For go-to-market teams rethinking their outbound motion from the ground up, Landbase was purpose-built to address the core gap that multi-agent workflow builders leave unfilled: the intelligence, qualification, and activation work that typically requires assembling separate tools and managing ongoing credit consumption.

With Landbase, teams describe their ideal customer in plain English and receive a verified, AI-qualified audience list enriched across 1,500+ signal fields, ready for CRM sync and immediate campaign activation. The GTM-2 Omni agentic AI, trained on 40M+ B2B campaigns, handles targeting, scoring, enrichment, and multi-channel outreach coordination autonomously  reducing manual research effort by approximately 80%.

Rather than requiring teams to design, test, and maintain agent workflows while forecasting credit consumption, Landbase consolidates the entire GTM stack into one platform with predictable costs and no credit management overhead. The result is a system where machines handle the repetitive work so revenue teams can focus on building relationships and closing deals. See how Landbase works.

Frequently Asked Questions

How much does Empler cost per month in 2026?

Empler Pro starts at $19/month, Business starts at $499/month, and Enterprise pricing is custom-quoted. All plans include unlimited users, so the base subscription is not a per-seat cost. The real variable is credit consumption  LLM and agent credits are token-based, meaning total cost scales with model choice and workflow volume on top of the base fee. Teams should run a pilot to measure actual credit burn before committing to a plan.

Does Empler offer a free trial?

Yes. Empler offers a free trial and a basic free tier that lets teams build and test automations before upgrading to a paid plan, per GetApp and Empler's official pricing page. The free trial allows teams to validate whether Empler's agent framework fits their specific GTM workflows before purchasing. Confirm the scope and duration of the free trial directly with Empler, as terms may vary.

How do Empler credits work?

Credits fund LLM and agent usage on a token-based model, cost scales with model choice, input length, and output length, and integration usage on a fixed per-call basis. Each paid plan includes a monthly credit floor, and teams can purchase top-ups or upgrade plans to add capacity. Because credit burn varies significantly by workflow type and model choice, teams should run a 30-day pilot with representative workloads before finalizing their plan.

What is included in Empler Business vs Pro?

Both plans include unlimited users, unlimited workflow creation, full access to the AI agent library, the LLM model library, and all integrations. The differences are throughput: Business includes 25,000 monthly credits (vs 1,000 on Pro), up to 100,000 task completions (vs 5,000), and priority support. Teams running production GTM workloads at volume will typically need the Business plan's higher credit floor to avoid frequent overage charges.

Is there a discount for annual or multi-year contracts?

Empler does not publish annual or multi-year discount terms, but multi-year commitments on Enterprise contracts typically yield meaningful annual savings consistent with standard SaaS procurement benchmarks, per Vendr's marketplace data. Capping annual renewal uplift at 3–5% is a standard negotiation point on larger deals. Buyers should ask about multi-year pricing and overage rate locks during the Enterprise evaluation process.

What is the difference between Empler Pro and Enterprise?

Pro (starting at $19/month) is designed for solo operators and small teams with 1,000 monthly credits and 5,000 task completions. Enterprise is custom-priced, starts at 200,000 monthly credits, and includes dedicated account management, onboarding calls, paid proof-of-concept, and private integration development. Enterprise is suited to organizations standardizing on Empler across multiple GTM teams or those with specific security and compliance requirements.

Are the $99, $399, and $1,499 Empler plans still active?

Third-party directories like GetApp and Capterra still reference an Explorer/Superior/Ultimate structure at those price points. Empler's current official pricing page lists Pro/Business/Enterprise instead. Treat the Empler.ai page as the authoritative source when budgeting and confirm current packaging directly with Empler during your evaluation.

How should I forecast credit consumption before signing?

Run a 30-day pilot with representative workflows, log credit consumption by workflow type, and multiply expected monthly workflow volume by observed credits per run. Build in a 25–50% buffer for production variability, consistent with general credit-based SaaS planning guidance. Confirm overage pricing with Empler before signing so you understand the cost of exceeding your plan's monthly floor.

Does Empler charge for integrations?

Empler includes access to its integration library in every paid plan, but integration usage consumes credits at fixed per-call rates. Teams running high-volume integration workflows should project integration credit burn alongside LLM credit burn when sizing plans. The fixed-per-call structure makes integration credits more predictable than token-based LLM credits, which can help with budget planning.