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Curated ToolThis tool is part of our curated AI directory. We only include tools that meet our standards for relevance, usability and real-world value.

LivePerson

Conversational AI for messaging/voice, agent assist, and analytics

Customer Support BotsAgent Builders
LivePerson is an enterprise conversational AI platform for managing customer conversations across AI agents and human agents. Its site emphasizes predictable AI: teams can simulate and validate AI agent behavior, connect existing channels, systems, and chosen LLMs, and use conversation analytics to improve support, commerce, and contact center performance.
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FYAI Score

8.2 / 10

Based on 207 reviews

Pricing:

Enterprise

Best for:

Enterprise contact center leaders scaling AI + human customer support

Score Breakdown

  • Ease of use7.6 / 10
  • Features8.8 / 10
  • Pricing7.4 / 10
  • Integrations8.9 / 10
  • Support8.5 / 10

PRODUCT PREVIEW

What this AI tool does

LivePerson is an AI-powered customer messaging platform designed to help organizations manage and automate conversations across digital channels. It is commonly used to handle high volumes of customer inquiries by combining automated responses with the ability to route conversations to human agents when needed. Teams typically use it to support customer service and sales workflows, aiming to reduce response times and keep interactions consistent. The platform can integrate with existing business systems so conversation history and customer context are available during support interactions. For anyone researching conversational AI tools, liveperson is generally positioned for companies that need scalable messaging, agent assistance, and analytics around customer conversations, while still maintaining human oversight for complex or sensitive requests.

Use cases

Best for

Customer Support Automation

Automate support chats by routing conversations between AI and human agents and connecting existing channels and systems in LivePerson.

Agent Building

Build and validate AI agents by simulating conversations, testing behavior, and selecting the LLM and integrations used in production.

Proactive Customer Engagement

Trigger proactive outreach by using conversation analytics to identify intent signals and start messages on connected customer channels.

ANALYSIS

Strengths & limitations

Strengths
  • Built for enterprise-scale customer conversations, with the site claiming over a billion messages handled per month.
  • Focuses on AI validation and simulation before customer deployment, which is useful for regulated or brand-sensitive service environments.
  • Designed to work with existing channels, systems, and chosen AI models rather than requiring a full rip-and-replace.
Limitations
  • The product is positioned mainly for enterprises, so it may be too complex or heavy for small teams with simple chat needs.
  • The supplied site content does not provide clear public pricing, so buyers likely need a sales/demo process.
  • Successful rollout may depend on integration with existing channels, contact center workflows, data sources, and governance processes.

Evaluation

FYAI score breakdown

Our structured evaluation across five key criteria

8.2 / 10

Overall score

Based on 207 reviews

  • Ease of use7.6 / 10
  • Features8.8 / 10
  • Pricing7.4 / 10
  • Integrations8.9 / 10
  • Support8.5 / 10

What users say

Findings from public reviews, documentation and community sources.

  • Ease of use

    LivePerson's pricing page describes an “easy-to-use bot builder” that lets “non-technical staff” create and optimize bots. G2 reports a 4.3/5 rating across 207 reviews for LivePerson.

  • Features

    LivePerson's pricing page lists omnichannel AI/human orchestration, Syntrix simulation/validation, bring-your-own LLM, and enterprise security/compliance. The pricing page also references Intent Manager, Conversation Builder, KnowledgeAI, and Conversation Assist.

  • Pricing

    LivePerson's pricing page packages plans into Bronze, Silver, and Gold tiers with inclusions such as channels, automation, analytics, and generative AI capabilities. The pricing page says “Simple pricing. Minimal add-ons. No service fees.” and uses “Request a quote” instead of public per-seat or usage prices.

  • Integrations

    LivePerson's pricing page lists an Integration Hub powered by Workato, “50+ Data, Connect & Customize APIs,” and CRM connectors including Salesforce. The pricing page also lists third-party bot connectors for IBM Watson, Google Dialogflow, Amazon Lex, and Microsoft bots, plus messaging channels such as WhatsApp, Apple Messages for Business, Messenger, and Instagram.

  • Support

    LivePerson's homepage points users to “LivePerson Community” to “get your questions answered” and to “Browse our most-read blogs, industry guides, and more.” LivePerson's homepage includes a customer quote describing an “incredible support team.”

Who is this for?

Best for enterprise teams that need AI and human conversations across many channels, LivePerson's pricing page lists omnichannel AI/human orchestration, voice plus messaging, and channels such as WhatsApp, Apple Messages for Business, Messenger, and Instagram. Less suited to teams that need public per-seat or usage pricing before contacting sales, LivePerson uses “Request a quote,” so budgeting depends on a quote process.

PRODUCT PREVIEW

Feature highlights

Predictable AI agents

Simulate and validate agent behavior before deploying to customers.

Omnichannel routing

Connect channels and route conversations across AI and human agents.

Conversation analytics

Measure outcomes and optimize support, sales, and containment.

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See how liveperson helps you resolve more customer issues in real time and boost satisfaction. Join teams using AI conversations to scale support without losing the human touch.

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FAQ

Frequently asked
questions

Everything you need to know about this AI tool,
its features, pricing, use cases, and limitations.

What types of teams and use cases is liveperson a good fit for?
liveperson tends to fit mid-market to enterprise support and sales teams that need to automate high-volume customer messaging while still handing off to agents when needed. It’s commonly used for contact center deflection, order/status inquiries, account servicing, and proactive outreach across channels. If you mainly need a lightweight website chat widget with minimal workflow complexity, simpler tools may be easier to run.
Does liveperson offer a free plan, and what should I expect from paid pricing?
liveperson is typically sold via paid, contract-based plans rather than a self-serve free tier. Costs usually depend on factors like messaging volume, number of agents, channels enabled, and add-ons such as analytics or automation capabilities. If you need predictable low-cost entry pricing, compare with vendors that publish transparent tiers.
How does liveperson compare with Intercom, Zendesk, or Salesforce service tools?
Compared with Intercom, liveperson is often chosen for broader messaging-channel coverage and contact-center-style operations rather than primarily in-app customer messaging. Versus Zendesk or Salesforce Service Cloud, liveperson is more of a conversational layer that can integrate with those CRMs/ticketing systems, not a full replacement for case management. The best choice depends on whether you’re optimizing for messaging automation and routing or for end-to-end ticket workflows.
How quickly can liveperson be set up, and what onboarding effort is typical?
The platform can be complex to configure and operate, especially if you want advanced automation, analytics, and multi-channel orchestration. Pricing is frequently cited as a hurdle for smaller teams, and getting full value may require ongoing optimization work. If your use case is narrow, you may pay for capabilities you won’t use.
What should I evaluate around data handling, privacy, and compliance for liveperson?
When comparing liveperson with other tools, confirm where data is stored, what retention controls exist, and how transcripts and customer identifiers are handled across integrated systems. Ask about encryption, access controls, audit logs, and whether the platform supports your required compliance standards (e.g., GDPR, SOC 2, HIPAA where applicable). Also verify how data is used for model training or product improvement and what opt-out options are available.