JulesAsynchronous coding agent that works on GitHub repositories
vs
LookerAgentic business intelligence and embedded analytics on Google Cloud
Comparison · AI Coding Assistants · weekly run Nov 3
Jules 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 Coding Assistants: it has a visibility score of 8.3 versus 0 for Jules.
Choose Jules if…
No clear advantage in the published data.
Choose Looker if…
- You want the brand AI engines rank higher (8.3 vs 0)
- 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 3
| Metric | Jules | Looker |
|---|---|---|
| Visibility score | 0% | 8.3% |
| Change vs last week | New | New |
| Rank in AI Coding Assistants | #43 | #11 |
| Share of voice | 0% | 3.2% |
| Mentions this run | 0 | 17 |
| Positive in AI answers | — | 30% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Jules 0pp · Looker 0pp over 0 weekly runs.
Engine by engine
Looker leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
JulesLooker
Head to head in AI answers
0 engine answers name both brands
0Jules ranked higher
0Looker ranked higher
Features, pricing & fit
| Dimension | Jules | Looker |
|---|---|---|
| Deployment | Cloud-hosted: each task runs in a secure Google Cloud virtual machine | Google Cloud |
| Compliance | — | SOC 2, ISO 27001, FedRAMP, HIPAA |
| Headquarters | Mountain View, California | — |
| Employees | 5,000+ | — |
| Funding | — | Series E · $280M raised |
| Best for | Developers on GitHub who want routine tasks such as bug fixes, tests and version bumps handled asynchronously | — |
Pros and cons
Themes from the AI answers that mention each brand
Jules
Profile in progress.
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, “Jules vs Looker”, https://slateindex.ai/compare/jules-vs-looker, data of Nov 3, 2026. Licence: CC BY 4.0.