LlamaIndexTurn any document into agent-ready context.
vs
LookerAgentic business intelligence and embedded analytics on Google Cloud
Comparison · AI Agents · weekly run Nov 3
LlamaIndex 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 2.2 for LlamaIndex, and ranks ahead in 100% of the answers that name both.
Choose LlamaIndex if…
- You need SOC 2 Type II or GDPR coverage
- Premier choice for RAG-centric agents
- Named as a popular agent development framework
Choose Looker if…
- You want the brand AI engines rank higher (10.4 vs 2.2)
- AI answers describe it more positively (30% vs 20% 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 | LlamaIndex | Looker |
|---|---|---|
| Visibility score | 2.2% | 10.4% |
| Change vs last week | New | New |
| Rank in AI Agents | #41 | #13 |
| Share of voice | 0.8% | 2.5% |
| Mentions this run | 5 | 17 |
| Positive in AI answers | 20% | 30% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
LlamaIndex 0pp · Looker 0pp over 0 weekly runs.
Engine by engine
Looker leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
LlamaIndexLooker
Head to head in AI answers
3 engine answers name both brands
0LlamaIndex ranked higher
3Looker ranked higher
| Prompt | Engine | LlamaIndex | Looker |
|---|---|---|---|
| How do companies build and deploy AI agents that automate work without a dedicated tool? | ChatGPT | #8 | #3 |
| How do companies build and deploy AI agents that automate work without a dedicated tool? | AI Mode | #4 | #1 |
| Who makes the most used AI agent platform? | ChatGPT | #8 | #3 |
Features, pricing & fit
| Dimension | LlamaIndex | Looker |
|---|---|---|
| Pricing model | Usage-based | — |
| Entry price | Free; paid from $50 / mo | — |
| Free plan | Yes | — |
| Deployment | LlamaParse runs as SaaS on a secure cloud tenant, or can be deployed in a customer's private VPC across cloud providers. | Google Cloud |
| Compliance | SOC 2 Type II, GDPR, HIPAA | SOC 2, ISO 27001, FedRAMP, HIPAA |
| Support | Community, Basic (email), Priority (Slack Connect), Dedicated | — |
| Headquarters | San Francisco, California, United States | — |
| Employees | 11–50 | — |
| Funding | Strategic minority equity investments (Databricks, KPMG) · $28M raised | Series E · $280M raised |
| Best for | Teams in document-heavy industries such as finance, insurance, healthcare and manufacturing that need accurate parsing of complex tables, charts and scanned pages. | — |
Plans side by side
Looker
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
LlamaIndex
- Premier choice for RAG-centric agents
- Named as a popular agent development framework
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, “LlamaIndex vs Looker”, https://slateindex.ai/compare/llamaindex-vs-looker, data of Nov 3, 2026. Licence: CC BY 4.0.