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Customer Support · head to head

Level AI vs LivePerson

Level AI logo

Level AI

Customer Support

AI quality assurance and agent assist for mid-market and enterprise contact centres

From
On request
Free plan
No
Full reviewWebsite
LivePerson logo

LivePerson

Live Chat

Enterprise-grade conversational AI platform

From
On request
Free plan
No
Full reviewWebsite

The short version

  • Each has a real cost: Level AI pricing combines a per-agent fee, a platform licence and usage-based components, so the number quoted per agent is not the number you pay and budgets set from a per-seat figure alone come in short.; LivePerson no price is published for any of the three tiers, and the page states no cost metric
  • They diverge on capability: Level AI covers Automated QA scoring, LivePerson covers Live chat.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Level AI and LivePerson actually diverge.

Attributes where Level AI and LivePerson differ
AttributeLevel AILivePerson
Pricing modelquotesubscription
PlatformsWebWeb, Mobile app, IOS, Android, Messaging apps
CategoryCustomer SupportLive Chat
FoundedUnknown1995

Identical on both: starting price (On request), free tier (No), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Level AI

  • Automated QA scoring
  • Semantic intent search
  • Agent assist
  • Coaching workflows
  • Custom scorecards
  • Voice of customer analytics
  • Dispute and calibration
  • CCaaS integrations

Only in LivePerson

  • Live chat
  • Conversational AI
  • Mobile messaging
  • Intent detection
  • Salesforce
  • Zendesk
  • Slack
  • Webhooks

What people use each for

The jobs each tool is most often brought in to do.

Level AI

  • A 400-seat support organisation reviewing 2 per cent of calls manually and wanting compliance coverage across the whole volume without adding QA headcountnot LivePerson
  • A regulated financial services contact centre that must evidence disclosure wording on every recorded call rather than on a samplenot LivePerson
  • A support operation onboarding a new outsourced site and needing week-one visibility into how the vendor agents actually handle contactsnot LivePerson
  • A CX team trying to work out why average handle time rose 20 per cent by clustering contact drivers across a quarter of interactionsnot LivePerson

LivePerson

  • Conversational AI and messaging across web, SMS and social channelsnot Level AI
  • Routing customer conversations between bots and human agentsnot Level AI

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Level AI

  • Pricing combines a per-agent fee, a platform licence and usage-based components, so the number quoted per agent is not the number you pay and budgets set from a per-seat figure alone come in short.
  • Integration to each contact centre or CRM system is charged as a separate implementation fee, which means a team running voice on one platform and chat on another pays twice before a single interaction is scored.
  • The unit economics do not work below roughly a hundred agents; smaller teams get quoted enterprise minimums that cost more than the QA analyst they were trying to avoid hiring.
  • Automated scores are only as good as the scorecard behind them, and the calibration work to get semantic questions scoring consistently falls on your QA team over several weeks before anyone trusts the output.
  • Transcription and semantic accuracy degrade on heavily accented speech, poor telephony audio and languages outside the main supported set, so multilingual operations often end up running manual QA in parallel for some queues anyway.

LivePerson

  • No price is published for any of the three tiers, and the page states no cost metric
  • Despite advertising minimal add ons, SMS outbound and WhatsApp carry separate charges plus a 15% handling fee
  • X is supported only with additional fees
  • Every route to a figure is a quote request or an RFP

Pricing, plan by plan

Level AI

On request
  • Level AI$undefined/year
    • Automated QA on all interactions
    • Custom scorecards
    • Semantic search

LivePerson

On request
  • Professional$100/month
    • Live chat
    • Basic AI
    • Automations
  • Enterprise$500/month
    • Advanced AI
    • Custom integrations
  • Premium$undefined/month
    • Custom solutions
    • Dedicated support

Which should you pick?

Choose Level AI if

  • You need automated qa scoring.
  • You also want semantic intent search.
Level AI review

Choose LivePerson if

  • You need live chat.
  • You work on Web, Mobile app, IOS, Android, Messaging apps.
  • You also want conversational ai.
LivePerson review

Questions people ask

Is Level AI or LivePerson better?
Neither clearly leads. Level AI starts at On request and LivePerson at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Level AI or LivePerson?
Level AI starts at On request and LivePerson at On request.
Does Level AI or LivePerson run on more platforms?
Level AI runs on Web. LivePerson runs on Web, Mobile app, IOS, Android, Messaging apps.
What is Level AI best used for?
Level AI is most often used for a 400-seat support organisation reviewing 2 per cent of calls manually and wanting compliance coverage across the whole volume without adding qa headcount, a regulated financial services contact centre that must evidence disclosure wording on every recorded call rather than on a sample, a support operation onboarding a new outsourced site and needing week-one visibility into how the vendor agents actually handle contacts, a cx team trying to work out why average handle time rose 20 per cent by clustering contact drivers across a quarter of interactions. Of those, a 400-seat support organisation reviewing 2 per cent of calls manually and wanting compliance coverage across the whole volume without adding qa headcount and a regulated financial services contact centre that must evidence disclosure wording on every recorded call rather than on a sample are not what LivePerson is typically brought in for.
What can Level AI do that LivePerson cannot?
Level AI covers Automated QA scoring, Semantic intent search, Agent assist, Coaching workflows. LivePerson covers Live chat, Conversational AI, Mobile messaging, Intent detection.

Answered from the vendors’ own pages

Level AI: Does Level AI publish pricing?

No. Quotes are built per deployment from agent count, channel mix and product modules, and integration fees are added on top.

LivePerson: How much does LivePerson cost?

LivePerson does not publish pricing on its website. The platform operates on a quote-based model with three subscription tiers: Bronze (messaging-first workspace), Silver (with automation and AI features), and Gold (advanced analytics and Generative AI). Customers must request quotes from the sales team.

Source
Level AI: Can it replace our QA analysts?

It replaces the sampling and scoring work, not the judgement. Teams typically keep analysts for calibration, disputes and coaching design.

LivePerson: What are LivePerson's pricing tiers?

LivePerson offers Bronze (includes multi-channel workspace and Intent Manager), Silver (adds AI automation and Conversation Assist), and Gold (adds Generative AI and Proactive Messaging). Each tier includes progressively more advanced AI capabilities and support levels.

Source
Level AI: Does it work without a cloud contact centre platform?

It needs recordings and metadata from somewhere. If your telephony does not expose those through an integration or API, this is not a fit.

LivePerson: Are there additional fees beyond the base LivePerson subscription?

Yes, Proactive Messaging charges carrier rates plus a 15% handling fee, and additional fees apply for certain communication channels like X (formerly Twitter).

Source
Level AI: How long does implementation take?

Expect weeks, not days. Connecting systems is quick; getting scorecards calibrated to the point where team leaders act on the scores takes longer.

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