AI Marketing OSAI Marketing OS
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Platform
4.4Editor Rating

Lyzr

Agentic OS for marketing: AI SDR, content, ABM and paid campaign agents

Pricing

Paid

Platforms

Web, API, AWS...

Developer

Lyzr AI, Inc.

Rating

4.4 / 5.0

Last Updated

September 21, 2026

Overview

Lyzr is an enterprise agent platform with a marketing-shaped front end.

The underlying product set is broad - Agent Studio for building agents, Architect, Opencontroller as a control plane, an Agentic OS, a Responsible AI module, a knowledge base and knowledge graph, a Hallucination Manager and open-source components such as AI Agent Memory and GitAgent - but the part that matters to marketers is the named agent line-up.

Jazon is sold as an AI SDR, Skott as the AI Marketer and agentic OS for the marketing function, and alongside them sit Kathy for competitor analysis, Dwight for RFP scouting, Jeff for support and Diane for HR.

Marketing blueprints are published for ABM, AEO and GEO optimisation, AI content creation, social media and internal communication, with sales blueprints for AI SDR and lead enrichment.

The company is headquartered at 525 Washington Blvd in Jersey City, New Jersey, describes itself as an Accenture Ventures portfolio company and displays G2 badges for Spring 2025 High Performer in AI Agents and Winter 2025 Momentum Leader in AI Agent Platforms.

Pricing is the part most agent platforms keep secret, and Lyzr publishes it.

Agent work is billed per run: $0.08 per agent run on Lyzr Cloud, which is fully managed with no compute overhead, or $0.03 per agent run on VPC or on-premise deployment where you carry the compute.

Each run bundles a knowledge base call, a tool call, an agent call, a memory call, Responsible AI guardrails and an agent security policy; LLM spend is billed separately at pass-through usage rates.

Lyzr frames the price against human labour with an illustrative 80-95% saving and a worked KYC example where a 20+ agent workflow lands near $1.02 per successful run - that arithmetic is the vendor own illustration on a single workflow, not an audited benchmark.

Delivery is explicitly services-led: the pricing page promises eight weeks from use case to agents running in production with platform, people and forward-deployed engineers included, and enterprise deals start with Talk to Us.

Skott is where the marketing pitch becomes concrete.

An objective engine ranks an execution plan against live pipeline stage, channel performance, content gaps and competitor signals, then activates only the relevant agents from a registry the site puts at 400+ agents.

Published workflows cover strategy and planning, market intelligence, content creation, AEO, GEO and SEO, ABM account briefs, email and outreach that rewrites itself when performance drops, social publishing to LinkedIn, X and Reddit, paid campaign spend audits and creative fatigue detection, sales enablement assets, cross-channel analytics and one-click distribution to WordPress, social and a CMS.

It integrates with HubSpot, GA4, Google Ads, Semrush, Slack, Apollo, Clay and WordPress, and is framework-agnostic - agents built on LangChain, CrewAI or Agentforce can be brought under the same control plane without rebuilding, and models from OpenAI, Anthropic, Google or open source can be swapped.

Governance is designed for enterprise review: deployment inside your own AWS, Azure, GCP or on-premise environment, per-action logging, output validation, human-in-the-loop controls, SOC 2 Type II, GDPR, HIPAA-compatible, ISO 27001 aligned and a stated compliant path to the EU AI Act.

Lyzr also claims 400+ enterprises running agentic workflows in production, first agents within 48 hours of integration and a live marketing OS in 30 days.

The honest trade-offs sit in cost modelling and lift.

Run-based pricing scales with activity and LLM spend sits on top, so the headline rate is not the all-in cost of a busy content and ABM programme; the efficiency percentages are illustrative vendor maths; value depends on how well your existing HubSpot, Semrush, Clay and ad platform data is wired up; and nothing here is self-serve - you are buying a platform plus a deployment engagement, which is the right shape for a marketing operations team with budget and the wrong shape for a solo operator.

Use Cases

Running a marketing objective through an agent plan instead of a static campaign calendar

Generating and ranking content for search, AI answers and generative engine visibility in one workflow

Building always-current ABM account briefs from pipeline, market and competitor signals

Auditing paid spend and detecting creative fatigue before performance collapses

Rewriting email sequences and publishing social posts when results drop, with attribution back to the objective

Who Is This For

Marketing operations teams with an instrumented stack of CRM, analytics and ad platforms

Revenue leaders who want sales and marketing agents - AI SDR, ABM, competitor analysis - on one control plane

Enterprise teams that need to deploy agents inside their own cloud for data sovereignty and audit trails

Organisations already running agents on LangChain, CrewAI or Agentforce that want one control plane over them

Agencies and consulting partners delivering agentic marketing programmes for enterprise clients

Key Features

Objective Engine as a Control Plane

You state the goal and the engine ranks an execution plan against live pipeline, channel performance, content gaps and competitor signals, then activates only the agents that serve that objective.

Prebuilt Marketing and Sales Agents

Named agents do specific jobs rather than everything: Jazon for SDR work, Skott for the marketing function, Kathy for competitor analysis, Dwight for RFP scouting, Jeff for support and Diane for HR, with blueprints for ABM, AEO and GEO.

AEO, GEO and SEO in One Workflow

Traditional search, AI-cited answers and generative engine visibility are handled inside a single content workflow, with articles, playbooks, scripts and landing copy mapped to intent, funnel stage and audience rather than templates.

Paid, Social and Outreach Execution

Email sequences are built, sent and rewritten when performance drops, social posts are published to LinkedIn, X and Reddit, and paid campaigns get spend audits and creative fatigue detection surfaced before you ask.

Runs in Your Own Cloud

Deploy in your AWS, Azure, GCP or on-premise environment with per-action logging, output validation and human-in-the-loop controls, under SOC 2 Type II, GDPR and HIPAA-compatible governance.

Pros & Cons

Pros

  • Published usage pricing you can model before talking to sales: $0.08 per agent run on Lyzr Cloud and $0.03 on VPC or on-premise, with each run bundling knowledge base, tool, agent and memory calls plus Responsible AI guardrails and an agent security policy
  • The marketing and sales agents are prebuilt and named - Skott for the marketing function, Jazon for SDR work, Kathy for competitor analysis - instead of leaving you to invent workflows from a blank canvas
  • It orchestrates your existing stack rather than demanding a migration: documented integrations with HubSpot, GA4, Google Ads, Semrush, Slack, Apollo, Clay and WordPress
  • Framework-agnostic control plane: agents already built on LangChain, CrewAI or Agentforce can be brought in without rebuilding, and models from OpenAI, Anthropic, Google or open source can be swapped
  • Data and IP stay with you - deployment in your own cloud or on-premise, per-action logging and human-in-the-loop controls, with SOC 2 Type II, GDPR, HIPAA-compatible and ISO 27001 aligned governance

Cons

  • Run-based pricing scales with activity and LLM costs are billed on top at pass-through rates, so $0.08 or $0.03 per run is not the all-in cost of a busy content and ABM programme and needs modelling against your run volume
  • Getting to value is services-led - Lyzr quotes eight weeks from use case to agents running in production with forward-deployed engineers - so there is no self-serve sign-up or free trial to evaluate on your own
  • Efficiency claims such as up to 95% lower than human labour and the $1.02 per KYC run example are illustrative vendor benchmarks on one workflow, not audited results
  • It is a control plane over tools you still pay for, so the HubSpot, Semrush, Clay and ad platform seats it drives remain on your bill alongside LLM usage
  • Enterprise breadth means configuration work first - knowledge bases, guardrails, agent roles and data connections - before a marketing team sees output

Pricing Plans

Popular

Lyzr Cloud

$0.08per agent run

Fully managed cloud infrastructure with no compute overhead; LLM costs are billed separately at pass-through usage rates.


  • Knowledge base call, tool call, agent call and memory call included in each run
  • Responsible AI guardrails and agent security policy included
  • No compute cost overhead, scale on demand
  • Transparent usage-based billing
Talk to Us

Lyzr VPC / On-Prem

$0.03per agent run

Self-hosted in your own environment with full data sovereignty; your team carries compute, billed as used.


  • Deploy in your own VPC or on-premise
  • Full data sovereignty and control
  • LLM costs billed separately at pass-through rates
  • Same run inclusions: knowledge base, tool, agent and memory calls plus guardrails
Talk to Us

Implementation engagement

Custom8 weeks to production

Platform, people and forward-deployed engineers, co-building in your environment and staying until agents are live in production.


  • Use case selection through to agents running in production
  • Forward-deployed engineers alongside your team
  • Marketing playbooks for campaign, content and attribution workflows
  • Blueprint library covering ABM, AEO/GEO, content, social and AI SDR
Talk to Us

Frequently Asked Questions

Editorial Review

4.4
ET

Editorial Team

September 21, 2026

We read lyzr.ai/pricing and the marketing agents page on 21 September 2026. Published rates are $0.08 per agent run on Lyzr Cloud and $0.03 per agent run on VPC or on-premise, with each run bundling a knowledge base call, tool call, agent call, memory call, Responsible AI guardrails and an agent security policy, and LLM costs billed separately at pass-through rates. The site also states eight weeks from use case to agents running in production, 400+ enterprises running agentic workflows, first agents within 48 hours of integration and a live marketing OS in 30 days - all vendor-published figures.

ET

Editorial Team

September 21, 2026

Our editorial view: Lyzr is one of the few agent platforms that both publishes usage pricing and ships named marketing agents rather than generic building blocks, which makes it testable on paper - Skott for the marketing function, Jazon for SDR work, Kathy for competitor analysis, with workflows for ABM, AEO/GEO, content, social and paid campaign audits over HubSpot, GA4, Google Ads, Semrush, Clay and WordPress. The caution is cost and lift: the per-run rate excludes LLM spend, the efficiency percentages are illustrative vendor benchmarks, and onboarding is an eight-week engineering engagement rather than a sign-up. It fits marketing operations teams that want an agent layer over an instrumented stack, not solo operators.

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