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Customer Support · head to head

Level AI vs UserVoice

Level AI logo

Level AI

Customer Support

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

From
On request
Rated
-
UserVoice logo

UserVoice

Customer Support

Plans that scale with your team

From
Free
Rated
-

The short version

  • Only UserVoice has a free tier, so it costs nothing to try first.
  • 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.; UserVoice no tier names, prices or billing cycles are published on the pricing page; every call to action reads Talk to an Expert rather than showing a figure
  • Prices and features above were last checked on 31 August 2026.

Where they differ

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

Attributes where Level AI and UserVoice differ
AttributeLevel AIUserVoice
Starting priceOn requestFree
Pricing modelquoteusage-based
Free tierNoYes

Identical on both: platforms (Web), user rating (Not yet rated), category (Customer Support).

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 UserVoice

Nothing recorded that Level AI does not also cover.

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

UserVoice

  • Collecting and prioritizing customer feedback from multiple channelsnot Level AI
  • Building internal feedback portals for product teamsnot Level AI
  • Mapping customer needs to product roadmap decisionsnot Level AI
  • Consolidating voice of customer across feedback 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.

UserVoice

  • No tier names, prices or billing cycles are published on the pricing page; every call to action reads Talk to an Expert rather than showing a figure
  • Pricing is based on feedback volume and which integrations are connected rather than a flat seat price, so cost cannot be estimated without a sales conversation

Pricing, plan by plan

Level AI

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

UserVoice

Free

No published plan breakdown. See the UserVoice review.

Which should you pick?

Choose Level AI if

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

Choose UserVoice if

  • You want to start without paying.

Questions people ask

Is Level AI or UserVoice better?
Neither clearly leads. Level AI starts at On request and UserVoice at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Level AI or UserVoice?
UserVoice has a free tier; the other does not. Paid plans start at On request for Level AI and Free for UserVoice.
Does Level AI or UserVoice run on more platforms?
Both run on Web, so platform support will not decide this one for you.
Can I use UserVoice for free?
Yes. UserVoice has a free tier, so you can try it without paying. Level AI starts at On request.
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 UserVoice is typically brought in for.
What can Level AI do that UserVoice cannot?
Level AI covers Automated QA scoring, Semantic intent search, Agent assist, Coaching workflows.

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.

UserVoice: Does UserVoice charge per user seat or by usage?

UserVoice uses a usage-based pricing model that scales with what you use, never by seat. Costs depend on feedback volume, tools leveraged, and integrations connected, not the number of people on your 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.

UserVoice: Can I try UserVoice before committing to a paid plan?

Yes, UserVoice offers 30-day free trials after booking a demo. No credit card is required to start the trial.

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.

UserVoice: What happens if I need help during onboarding?

UserVoice includes expert onboarding and dedicated customer success manager support with all paid plans to help you get started.

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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