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SlateIndex
LangSmithAI Agents
vs
LookerAgentic business intelligence and embedded analytics on Google Cloud
Comparison · AI Agents · weekly run Nov 3

LangSmith vs Looker

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 3 for LangSmith, and ranks ahead in 75% of the answers that name both.

Choose LangSmith if…

  • You need SOC 2 Type II or GDPR or ISO 27001 (Engine feature) coverage
  • strong production observability
  • tracing, debugging and response evaluation

Choose Looker if…

  • You want the brand AI engines rank higher (10.4 vs 3)
  • AI answers describe it more positively (30% vs 17% positive)
  • You need SOC 2 or ISO 27001 or FedRAMP coverage
  • Governed semantic layer and metric consistency

AI visibility side by side

Latest weekly run · Nov 3

Metric LangSmith Looker
Visibility score3%10.4%
Change vs last weekNewNew
Rank in AI Agents#31#13
Share of voice0.9%2.5%
Mentions this run617
Positive in AI answers17%30%

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 3LangSmith 3%

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

Engine by engine

Looker leads on 3 of 3 engines

ChatGPT
7%
16.1%
AI Mode
0.9%
11.5%
Perplexity
0.9%
3.5%
LangSmithLooker

Head to head in AI answers

4 engine answers name both brands

1LangSmith ranked higher
3Looker ranked higher

Features, pricing & fit

DimensionLangSmithLooker
DeploymentCloud, Bring Your Own Cloud, and Self-hostedGoogle Cloud
ComplianceSOC 2 Type II, HIPAA, GDPR, ISO 27001 (Engine feature)SOC 2, ISO 27001, FedRAMP, HIPAA
HeadquartersSan Francisco, California—
FundingSeries BSeries E · $280M raised

Pros and cons

Themes from the AI answers that mention each brand

LangSmith

  • strong production observability
  • tracing, debugging and response evaluation

    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

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

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