AI Visibility Score
Google Looker Studio
7.2
/ 100
Ranked #235 of 558 scored brands · as of 2026-07-28
- Questions named in
- 4
- Total mentions
- 4
- Average position
- 3.8
- Sample
- 7 days
Engine by engine
Different models recommend different brands. Here's how each one sees Google Looker Studio.
| Engine | Score | Rank | Questions | Avg position |
|---|---|---|---|---|
| Gemini Flash Lite | 8.8 | #210 | 4 | 3.8 |
What AI actually said
Unedited excerpts from archived answers.
“…dustry-standard capability at the lowest price point. * Google Looker Studio (formerly Data Studio): * The Cost: 100% Free. * Best for: Anyone heavily reliant on Google tools (Google Analyt…”
gemini
position 2 · “cheapest business intelligence software”
“…, custom data modeling. 2. The Best for Ease of Use: Google Looker Studio (formerly Data Studio) If you want something fast, web-based, and completely free, Looker Studio is the go-to choice. * Why...”
gemini
position 3 · “best business intelligence software for small business”
“…hat delivers personalized metrics directly to users. * Google Looker Studio (formerly Google Data Studio) & Looker * Best for: Google-centric teams and web marketers. * Why it’s a top pick: Goo…”
gemini
position 3 · “top business intelligence platforms”
“…/Visualization Tool: Connect your new data warehouse to Google Looker Studio (free), Metabase (great open-source/budget option), or Tableau/Power BI to build dashboards and charts. Summary Recommend...”
gemini
position 7 · “best data warehouse software for small business”
Named alongside
Brands that show up in the same questions as Google Looker Studio.
| # | Brand | Score | Shared questions |
|---|---|---|---|
| 58 | Microsoft Power BI | 26.6 | 3 |
| 225 | Domo | 7.8 | 3 |
| 162 | Power BI | 10.7 | 2 |
| 66 | Google BigQuery | 25.1 | 1 |
| 57 | Snowflake | 26.8 | 1 |
| 209 | Fivetran | 8.5 | 1 |
| 77 | Pro Tip | 21.8 | 1 |
| 298 | Airbyte | 5.5 | 1 |
Show this on your site
Free embeddable badge — one line of HTML, updates itself as the score moves.
How this score is calculated
Reach (how many questions named the brand) multiplied by prominence (how early it was named), scaled so the most visible brand sits at 100.