Your landing page’s weakest score is Trust.
How Cube ranks
category scores
category scoresShowHide
Trust
55FairProof that the product is real, competent, and safe to try.




| Trust read | |
|---|---|
| Cube | implicit context Cube may benefit from pre-existing familiarity among its target audience. |
| "#1 for turning data questions into SQL — Spider 2.0-Lite benchmark →" badge below the Get started CTA | |
| Customer logo bar featuring Toyota, Siemens, Nasdaq, CHG Healthcare, Omni, Infinite Lambda, and phData | |
| Customer logo strip showing Visa, Netflix, Vodafone, Toyota, and Discover | |
| GitHub badge: "16,678 — #1 GENBI ON GITHUB" | |
| Integration strip: "ON YOUR" Snowflake, Databricks, BigQuery "SUPPORTING" Power BI, Tableau, Looker "AND MORE" |
Value props
72FairTitle, subtitle, hero — do they sell the product's true value?
The agentic analytics platform built on a semantic layer
AI answers your team — and your customers — can trust. Grounded in your semantic model, governed end to end.
Working
- Subhead names the trust outcome, not features
- Hero image shows real product doing its job
- Positioning is precise for its data-team ICP
Could improve
- Zero numbers or proof points in the fold
- Headline is jargon for anyone outside the ICP
- Trust claim asserted, not evidenced
CTA
78FairCopy, size, verb, cost-feel — does the primary CTA earn the click?

How Cube compares
Recommended rewrites
Information hierarchy
80StrongDoes the design help or inhibit what the page is trying to say?

What works
What to improve
Mobile web
90StrongThe phone experience as a first-class citizen.

What works
What to improve
