Your landing page’s weakest score is Information hierarchy.

Fix Information hierarchy
74Growth scoreupdated

category scores

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Information hierarchy

68Fair

Does the design help or inhibit what the page is trying to say?

Information hierarchy annotations on the desktop capture1234
  1. Duplicate Try Demo CTAs — "Try Demo" appears both in the nav and the hero at equal filled-white weight, splitting the primary action into two competing targets.
  2. Duplicate Get Started buttons — "Get Started" is repeated in nav and hero at near-identical outline styling to "Try Demo", so no single action reads as primary.
  3. Truncated setup command — The curl command is clipped at "| sh" against the copy icon, signaling the install path over the demo and muddying which action the fold wants.
  4. Dense nav link row — Six nav destinations plus a GitHub star badge sit above the hero, giving attention seven exits before the headline is read.

Mobile web

68Fair

The phone experience as a first-class citizen.

Mobile web annotations on the mobile capture1234
  1. Side-by-side CTA pair — "Try Demo" and "Get Started" sit small and side-by-side instead of stacked near full-width for thumbs.
  2. Oversized wrapped headline — Headline barely scales down and wraps into four cramped lines, pushing the CTAs deep into the fold.
  3. Wrapped curl command — Desktop-width shell command breaks across three lines, unreadable and competing with the CTAs.
  4. Seven-line subhead — Subhead runs seven lines of centered text, stacking competing messages before the action.

CTA

78Fair

Copy, size, verb, cost-feel — does the primary CTA earn the click?

MLflow

How MLflow compares

Recommended rewrites

Value props

78Fair

Title, subtitle, hero — do they sell the product's true value?

MLflow’s headlineDeliver High-Quality AI, FastBuilding AI products is all about iteration. MLflow lets you move 10x faster by simplifying how you debug, evaluate, and monitor your LLM applications, Agents, and Models.

Working

Could improve

Trust

78Fair

Proof that the product is real, competent, and safe to try.

MLflow desktop capture for Trust

How MLflow compares

Trust read