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Adobe AnalyticsWeb Analytics
vs
LookerAgentic business intelligence and embedded analytics on Google Cloud
Comparison · Web Analytics · weekly run Nov 2

Adobe Analytics vs Looker

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

The short answer

Adobe Analytics is the stronger AI pick in Web Analytics: it has a visibility score of 28 versus 1.4 for Looker, and ranks ahead in 100% of the answers that name both.

Choose Adobe Analytics if…

  • You want the brand AI engines rank higher (28 vs 1.4)
  • You need SOC 2 Type 2 coverage
  • enterprise-grade multi-channel attribution
  • advanced segmentation and deep attribution modeling

Choose Looker if…

  • AI answers describe it more positively (30% vs 29% positive)
  • 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

AI visibility side by side

Latest weekly run · Nov 2

Metric Adobe Analytics Looker
Visibility score28%1.4%
Change vs last weekNewNew
Rank in Web Analytics#6#30
Share of voice7.1%0.4%
Mentions this run342
Positive in AI answers29%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 2Adobe Analytics 28%

Adobe Analytics 0pp · Looker 0pp over 0 weekly runs.

Engine by engine

Adobe Analytics leads on 3 of 3 engines

ChatGPT
32.2%
0.9%
AI Mode
34.6%
0%
Perplexity
17%
3.1%
Adobe AnalyticsLooker

Head to head in AI answers

1 engine answers name both brands

1Adobe Analytics ranked higher
0Looker ranked higher
PromptEngineAdobe AnalyticsLooker
Compare the leading Web Analytics platforms ChatGPT#2#11

Features, pricing & fit

DimensionAdobe AnalyticsLooker
Deployment—Google Cloud
ComplianceSOC 2 Type 2SOC 2, ISO 27001, FedRAMP, HIPAA
Funding—Series E · $280M raised

Pros and cons

Themes from the AI answers that mention each brand

Adobe Analytics

  • enterprise-grade multi-channel attribution
  • advanced segmentation and deep attribution modeling
  • strong for complex websites and customer journeys
  • solid enterprise satisfaction for multi-channel data collection
  • seen as a gold standard for large enterprises
  • steep learning curve
  • high price point
  • long implementation time
  • requires substantial implementation resources

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, “Adobe Analytics vs Looker”, https://slateindex.ai/compare/adobe-analytics-vs-looker, data of Nov 2, 2026. Licence: CC BY 4.0.