LookerAgentic business intelligence and embedded analytics on Google Cloud
vs
Microsoft AutoGenOpen-source framework for building and coordinating multi-agent AI applications
Comparison · AI Agents · weekly run Nov 3
Looker vs Microsoft AutoGen
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 4.5 for Microsoft AutoGen.
Choose Looker if…
- You want the brand AI engines rank higher (10.4 vs 4.5)
- 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 Microsoft AutoGen if…
- high-concurrency asynchronous multi-agent conversations
- enterprise-grade scaling
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Looker | Microsoft AutoGen |
|---|---|---|
| Visibility score | 10.4% | 4.5% |
| Change vs last week | New | New |
| Rank in AI Agents | #13 | #26 |
| Share of voice | 2.5% | 1.2% |
| Mentions this run | 17 | 6 |
| 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
Looker 0pp · Microsoft AutoGen 0pp over 0 weekly runs.
Engine by engine
Looker leads on 2 of 3 engines
ChatGPT
AI Mode
Perplexity
LookerMicrosoft AutoGen
Head to head in AI answers
0 engine answers name both brands
0Looker ranked higher
0Microsoft AutoGen ranked higher
Features, pricing & fit
| Dimension | Looker | Microsoft AutoGen |
|---|---|---|
| Deployment | Google Cloud | Open-source Python library |
| Compliance | SOC 2, ISO 27001, FedRAMP, HIPAA | — |
| Founded | — | 2023 |
| Headquarters | — | Redmond, Washington (parent: Microsoft) |
| Employees | — | 5,000+ |
| Funding | Series E · $280M raised | — |
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
Microsoft AutoGen
- high-concurrency asynchronous multi-agent conversations
- enterprise-grade scaling
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Looker vs Microsoft AutoGen”, https://slateindex.ai/compare/looker-vs-microsoft-autogen, data of Nov 3, 2026. Licence: CC BY 4.0.