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Customer Support · head to head

Level AI vs LiveChat

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
LiveChat logo

LiveChat

Live Chat

Customer service software that delights

From
$20/month
Free plan
No

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.; LiveChat the Starter plan retains only 60 days of chat history, so an audit trail requires the Team plan at $49 per person per month
  • They diverge on capability: Level AI covers Automated QA scoring, LiveChat 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 LiveChat actually diverge.

Attributes where Level AI and LiveChat differ
AttributeLevel AILiveChat
Starting priceOn request$20/month
Pricing modelquotesubscription
PlatformsWebWeb, Ios, Android, Desktop
CategoryCustomer SupportLive Chat
FoundedUnknown2002

Identical on both: 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 LiveChat

  • Live chat
  • Ticketing
  • Chat routing
  • Analytics
  • Canned responses
  • File sharing
  • Shopify
  • WordPress

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 LiveChat
  • A regulated financial services contact centre that must evidence disclosure wording on every recorded call rather than on a samplenot LiveChat
  • A support operation onboarding a new outsourced site and needing week-one visibility into how the vendor agents actually handle contactsnot LiveChat
  • A CX team trying to work out why average handle time rose 20 per cent by clustering contact drivers across a quarter of interactionsnot LiveChat

LiveChat

  • Live chat support on a website with agent routingnot Level AI
  • Handling customer conversations across chat, SMS and messaging channelsnot 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.

LiveChat

  • The Starter plan retains only 60 days of chat history, so an audit trail requires the Team plan at $49 per person per month
  • Pricing is per agent, so support cost scales with headcount rather than with conversation volume
  • AI reply suggestions are capped by plan, at 3 knowledge sources on Starter and 10 above it
  • Surveys and eye catchers are predefined rather than customisable below the Enterprise plan
  • SSO, white labelling and HIPAA compliance are Enterprise only

Pricing, plan by plan

Level AI

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

LiveChat

$20/month
  • Starter$20/month
    • 60-day chat history
    • Basic customization
    • Ticketing system
  • Team$41/month
    • Unlimited history
    • Advanced reporting
    • Branding removal
  • Business$59/month
    • Staffing prediction
    • Work scheduler
    • Apple Business Chat
  • Enterprise$undefined/month
    • Dedicated account manager
    • Product training
    • SSO

Which should you pick?

Choose Level AI if

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

Choose LiveChat if

  • You need live chat.
  • You work on Web, Ios, Android, Desktop.
  • You also want ticketing.

Questions people ask

Is Level AI or LiveChat better?
Neither clearly leads. Level AI starts at On request and LiveChat at $20/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Level AI or LiveChat?
Level AI starts at On request and LiveChat at $20/month.
Does Level AI or LiveChat run on more platforms?
Level AI runs on Web. LiveChat runs on Web, Ios, Android, Desktop.
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 LiveChat is typically brought in for.
What can Level AI do that LiveChat cannot?
Level AI covers Automated QA scoring, Semantic intent search, Agent assist, Coaching workflows. LiveChat covers Live chat, Ticketing, Chat routing, Analytics.

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.

LiveChat: How much does LiveChat cost?

LiveChat pricing starts at $19/month for the Starter plan (annual billing). The Team plan is $49/person/month and includes unlimited users. The Business plan is $79/person/month with advanced features. Enterprise plans require a custom quote.

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.

LiveChat: Does LiveChat offer a free trial?

Yes, LiveChat provides a 14-day free trial with AI-driven features and no credit card required.

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.

LiveChat: What is the difference between LiveChat's Team and Business plans?

The Team plan ($49/person/month) tracks 400 visitors and includes unlimited campaigns and chat history. The Business plan ($79/person/month) tracks 1,000 visitors and adds work scheduler, advanced reporting, SMS, and Apple Messages support.

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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