LookerAgentic business intelligence and embedded analytics on Google Cloud
vs
MakeAI automation you can visually build and orchestrate in real time.
Comparison · AI Agents · weekly run Nov 3
Looker vs Make
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Make is the stronger AI pick in AI Agents: it has a visibility score of 17 versus 10.4 for Looker, and ranks ahead in 0% of the answers that name both.
Choose Looker if…
- You need SOC 2 or FedRAMP or HIPAA coverage
- Governed semantic layer and metric consistency
- Strong integration with Google Cloud, BigQuery and Workspace
- Developer-centric data modeling via LookML
Choose Make if…
- You want the brand AI engines rank higher (17 vs 10.4)
- AI answers describe it more positively (41% vs 30% positive)
- You need GDPR or SOC 2 Type II or SOC 3 coverage
- Free tier with 1,000 credits per month
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Looker | Make |
|---|---|---|
| Visibility score | 10.4% | 17% |
| Change vs last week | New | New |
| Rank in AI Agents | #13 | #9 |
| Share of voice | 2.5% | 3.6% |
| Mentions this run | 17 | 24 |
| Positive in AI answers | 30% | 41% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Looker 0pp · Make 0pp over 0 weekly runs.
Engine by engine
Make leads on 1 of 3 engines
ChatGPT
AI Mode
Perplexity
LookerMake
Head to head in AI answers
3 engine answers name both brands
3Looker ranked higher
0Make ranked higher
| Prompt | Engine | Looker | Make |
|---|---|---|---|
| How do I choose an AI agent platform for a mid-market team? | ChatGPT | #3 | #12 |
| What should an AI agent platform integrate with? | ChatGPT | #6 | #14 |
| What are the best AI Agents tools in 2026? | Perplexity | #10 | #14 |
Features, pricing & fit
| Dimension | Looker | Make |
|---|---|---|
| Deployment | Google Cloud | Cloud, hosted on Amazon AWS |
| Integrations | — | 3500+ |
| Compliance | SOC 2, ISO 27001, FedRAMP, HIPAA | GDPR, SOC 2 Type II, SOC 3, ISO 27001 |
| Support | — | Help center, Community forum, 24/7 support on Enterprise plans, Dedicated support team on Enterprise plans |
| Founded | — | 2012 |
| Headquarters | — | Prague, Czech Republic |
| Employees | — | 201–500 |
| Funding | Series E · $280M raised | — |
| Best for | — | Teams and organizations deploying AI and automation across the business, from a single department to company-wide. |
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
Make
- Free tier with 1,000 credits per month
- Transparent pricing with paid plans from $12/month
- Visual, no-code automation between existing apps
- Integrations with more than 3,000 apps
- Built-in AI agents for business workflows
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Looker vs Make”, https://slateindex.ai/compare/looker-vs-make, data of Nov 3, 2026. Licence: CC BY 4.0.