Perceptron MLYC S26 landing page report.
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Your landing page’s weakest score is Trust.

How Perceptron ML ranks

  1. 1.Eve74
  2. 2.Perceptron ML70
  3. 3.Harvey70
  4. 4.Robin AI69
  5. 5.Legora60
  6. 6.Paxton AI60
Fix Trust

Score over time

90807060504030Harvey 70 on Sep 20 (Live)Eve 72 on Apr 7 (Wayback)Eve 77 on Apr 22 (Wayback)Eve 76 on May 4 (Wayback)Eve 78 on May 18 (Wayback)Eve 76 on May 26 (Wayback)Eve 78 on Jun 7 (Wayback)Eve 74 on Sep 22 (Live)Robin AI 59 on Mar 23 (Wayback)Robin AI 60 on Jun 7 (Wayback)Robin AI 70 on Jul 1 (Wayback)Robin AI 67 on Jul 13 (Wayback)Robin AI 69 on Sep 20 (Live)Legora 45 on Jun 14 (Wayback)Legora 39 on Jun 29 (Wayback)Legora 59 on Jul 27 (Wayback)Legora 48 on Aug 13 (Wayback)Legora 48 on Aug 22 (Wayback)Legora 46 on Sep 6 (Wayback)Legora 60 on Sep 20 (Live)Paxton AI 66 on Apr 20 (Wayback)Paxton AI 64 on Jun 11 (Wayback)Paxton AI 65 on Jul 2 (Wayback)Paxton AI 66 on Jul 17 (Wayback)Paxton AI 65 on Aug 7 (Wayback)Paxton AI 64 on Sep 17 (Wayback)Paxton AI 60 on Sep 22 (Live)Perceptron ML 70 on Sep 20 (Live)Sep 20

Trust

52Fair

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

Perceptron ML
Eve
Harvey
Trust read
Perceptron ML"Backed by Y Combinator" badge above the headline
Harvey"We Raised $550M at a $15.5B Valuation" announcement banner (mobile capture)
Eve"Trusted by 1200+ firms" plus the law-firm logo row (Mike Morse Law Firm, Jeffrey Glassman, Frontier Law Center, James S
Robin AIProduct chat UI screenshot answering "What are the different laws that govern each contract?" across "124 Documents" wit
LegoraNo visible trust signal identified.
Paxton AINo visible trust signal identified.

CTA

68Fair

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

Perceptron ML
Paxton AI

Problems

  • click feels costly — asks for time
  • no value promised for the call
  • secondary link carries the curiosity

Value props

68Fair

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

Perceptron ML’s headline undersellsAI software built for your law firm.We design and build bespoke AI systems for law firms, trained on your matters and deployed in your environment. Intake, discovery, drafting, and research, grounded in verified sources so the work holds up.

Working

  • Names the exact audience: law firms
  • Lists concrete workflows in subhead
  • "Verified sources" preempts AI distrust

Could improve

  • No numbers or proof points in fold
  • Headline is category, not outcome
  • Hero image decorates, shows nothing

Mobile web

76Fair

The phone experience as a first-class citizen.

Mobile web annotations on the mobile capture12
  1. Uncollapsed nav row — Full desktop link row crammed edge-to-edge instead of a hamburger, duplicating the hero's Book a call CTA.
  2. Six-line subhead paragraph — Center-aligned body copy wraps into six ragged lines, the densest block in the fold and slow to scan.

Information hierarchy

84Strong

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

Information hierarchy annotations on the desktop capture12
  1. See what we build — Sits at the same baseline as the primary CTA, splitting the final decision between two equally reachable actions.
  2. Nav Book a call — Duplicates the hero CTA at similar visual weight, adding a competing dark pill to the scan path.

Competitors

inferred from product, audience, and value prop