Skip to content
SlateIndex
LookerAgentic business intelligence and embedded analytics on Google Cloud
vs
WhatagraphThe Agentic Marketing Intelligence Platform
Comparison · Business Intelligence · weekly run Nov 2

Looker vs Whatagraph

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 Business Intelligence: it has a visibility score of 29.8 versus 0 for Whatagraph.

Choose Looker if…

  • You want the brand AI engines rank higher (29.8 vs 0)
  • AI answers describe it more positively (30% vs 0% positive)
  • You need SOC 2 or ISO 27001 or FedRAMP or HIPAA coverage
  • Governed semantic layer and metric consistency

Choose Whatagraph if…

No clear advantage in the published data.

AI visibility side by side

Latest weekly run · Nov 2

Metric Looker Whatagraph
Visibility score29.8%0%
Change vs last weekNewNew
Rank in Business Intelligence#3#47
Share of voice8.1%0%
Mentions this run420
Positive in AI answers30%0%

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 2Looker 30%

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

Engine by engine

Looker leads on 3 of 3 engines

ChatGPT
37.2%
0%
AI Mode
28.5%
0%
Perplexity
23.5%
0%
LookerWhatagraph

Head to head in AI answers

0 engine answers name both brands

0Looker ranked higher
0Whatagraph ranked higher

Features, pricing & fit

DimensionLookerWhatagraph
DeploymentGoogle CloudCloud-hosted
Integrations—68+
ComplianceSOC 2, ISO 27001, FedRAMP, HIPAA—
Support—Live chat support, Dedicated Customer Success Manager on Max and Prime, Tailored onboarding on Prime, Priority support on Prime
Founded—2015
Headquarters—Amsterdam, Netherlands
Employees—51–200
FundingSeries E · $280M raisedSeries A
Best for—Marketing agencies and brands that report across many client accounts or locations.

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

Whatagraph

Profile in progress.

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

Cite as: SlateIndex, “Looker vs Whatagraph”, https://slateindex.ai/compare/looker-vs-whatagraph, data of Nov 2, 2026. Licence: CC BY 4.0.