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SlateIndex
LookerAgentic business intelligence and embedded analytics on Google Cloud
vs
VoiceflowPlatform for building, testing and deploying chat and voice AI agents
Comparison · AI Agents · weekly run Nov 3

Looker vs Voiceflow

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

Looker is the stronger AI pick in AI Agents: it has a visibility score of 10.4 versus 1.6 for Voiceflow.

Choose Looker if…

  • You want the brand AI engines rank higher (10.4 vs 1.6)
  • You need ISO 27001 or FedRAMP coverage
  • Governed semantic layer and metric consistency
  • Strong integration with Google Cloud, BigQuery and Workspace

Choose Voiceflow if…

  • AI answers describe it more positively (50% vs 30% positive)
  • You need ISO/IEC 27001:2022 or GDPR coverage
  • Visual design, testing, and launch of conversational and voice AI agents
  • Strong enterprise reliability and certifications

AI visibility side by side

Latest weekly run · Nov 3

Metric Looker Voiceflow
Visibility score10.4%1.6%
Change vs last weekNewNew
Rank in AI Agents#13#48
Share of voice2.5%0.6%
Mentions this run174
Positive in AI answers30%50%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

0%25%50%75%100%Nov 3Looker 10%

Looker 0pp · Voiceflow 0pp over 0 weekly runs.

Engine by engine

Looker leads on 3 of 3 engines

ChatGPT
16.1%
0%
AI Mode
11.5%
1.7%
Perplexity
3.5%
3.1%
LookerVoiceflow

Head to head in AI answers

0 engine answers name both brands

0Looker ranked higher
0Voiceflow ranked higher

Features, pricing & fit

DimensionLookerVoiceflow
DeploymentGoogle CloudPublic cloud, dedicated VPC or on-premise hosting
ComplianceSOC 2, ISO 27001, FedRAMP, HIPAASOC 2, ISO/IEC 27001:2022, HIPAA, GDPR
Founded—2019
Headquarters—Toronto
FundingSeries E · $280M raisedSeed led by True Ventures · $35M raised
Best for—Customer support and CX teams that build chat and voice AI agents

Pros and cons

Themes from the AI answers that mention each brand

Looker

  • Governed semantic layer and metric consistency
  • Strong integration with Google Cloud, BigQuery and Workspace
  • Developer-centric data modeling via LookML
  • Around 4.5 out of 5 stars on Gartner Peer Insights
  • Quote-only enterprise pricing starting above $60,000 a year
  • Poor fit for NoSQL-heavy data stacks or standalone embedded needs
  • Less suited to teams using macOS without virtual machines

Voiceflow

  • Visual design, testing, and launch of conversational and voice AI agents
  • Strong enterprise reliability and certifications
  • Recommended for customer support and conversational experiences
  • Costs more than some alternatives

Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run

Cite as: SlateIndex, “Looker vs Voiceflow”, https://slateindex.ai/compare/looker-vs-voiceflow, data of Nov 3, 2026. Licence: CC BY 4.0.