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LookerAgentic business intelligence and embedded analytics on Google Cloud
vs
SupermavenThe fastest copilot.
Comparison · AI Coding Assistants · weekly run Nov 3

Looker vs Supermaven

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 Coding Assistants: it has a visibility score of 8.3 versus 0.6 for Supermaven.

Choose Looker if…

  • You want the brand AI engines rank higher (8.3 vs 0.6)
  • You need SOC 2 or ISO 27001 or FedRAMP or HIPAA coverage
  • Governed semantic layer and metric consistency
  • Strong integration with Google Cloud, BigQuery and Workspace

Choose Supermaven if…

No clear advantage in the published data.

AI visibility side by side

Latest weekly run · Nov 3

Metric Looker Supermaven
Visibility score8.3%0.6%
Change vs last weekNewNew
Rank in AI Coding Assistants#11#33
Share of voice3.2%0.2%
Mentions this run171
Positive in AI answers30%—

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 8%

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

Engine by engine

Looker leads on 3 of 3 engines

ChatGPT
15.9%
0%
AI Mode
2.6%
1.7%
Perplexity
6.5%
0%
LookerSupermaven

Head to head in AI answers

0 engine answers name both brands

0Looker ranked higher
0Supermaven ranked higher

Features, pricing & fit

DimensionLookerSupermaven
Pricing model—Per seat
Entry price—Free; paid from $10 per seat / mo
Free plan—Yes
DeploymentGoogle Cloud—
ComplianceSOC 2, ISO 27001, FedRAMP, HIPAA—
Support—Email, Discord community
Founded—2024
Employees—1–10
FundingSeries E · $280M raisedSeed · $12M raised
Best for—Solo developers and fast-moving companies

Plans side by side

Looker

Pricing not available.

Supermaven

Free Tier$0month
Pro$10month
Team$10per user per month
Supermaven pricing

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

Supermaven

Profile in progress.

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

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