# Perceptron ML landing page growth score

Lazyweb publishes a public search API over its indexed pages; the guide is at https://www.lazyweb.com/agent-access.

Source: https://www.lazyweb.com/yc-s26/perceptron-ml
Source observed: 2026-10-15T19:18:28.302Z
Last checked: 2026-10-17T08:55:19.602+00:00
Indexed: 2026-10-15T22:13:11.297+00:00

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# Perceptron ML landing page growth score

We provide a YC S26 landing-page report for [Perceptron ML](https://perceptronml.com/). The report evaluates the landing page across Trust, CTA, Value props, Mobile web, and Information hierarchy.

## Overall result

**Growth score: 70/100** · updated **September 20, 2026**

The weakest category is **Trust**, scored **52**. Use [Fix Trust](https://www.lazyweb.com/plans/checkout?plan=individual&source=growth_score_feature_build_fixes) to access the trust-focused improvement path.

### How Perceptron ML ranks

1. [Eve — 74](https://www.lazyweb.com/growth-score/site/eve.legal)
2. Perceptron ML — 70
3. [Harvey — 70](https://www.lazyweb.com/growth-score/site/harvey.ai)
4. [Robin AI — 69](https://www.lazyweb.com/growth-score/site/robinai.com)
5. [Legora — 60](https://www.lazyweb.com/growth-score/site/legora.com)
6. [Paxton AI — 60](https://www.lazyweb.com/growth-score/site/paxton.ai)

## Category scores

| Category | Score | Assessment |
| --- | ---: | --- |
| Trust | 52 | Fair |
| CTA | 68 | Fair |
| Value props | 68 | Fair |
| Mobile web | 76 | Fair |
| Information hierarchy | 84 | Strong |

[Trust · 52](https://www.lazyweb.com/yc-s26/perceptron-ml#gs-trust) · [CTA · 68](https://www.lazyweb.com/yc-s26/perceptron-ml#gs-cta) · [Value props · 68](https://www.lazyweb.com/yc-s26/perceptron-ml#gs-value_props) · [Mobile web · 76](https://www.lazyweb.com/yc-s26/perceptron-ml#gs-mobile_web) · [Information hierarchy · 84](https://www.lazyweb.com/yc-s26/perceptron-ml#gs-information_hierarchy)

## Score over time

The report includes a score-history chart for Perceptron ML and the comparison set: Harvey, Eve, Robin AI, Legora, and Paxton AI.

## Trust — 52, Fair

Trust measures proof that the product is real, competent, and safe to try.

![Perceptron ML trust score screenshot](https://zlfyzdmohcskkucuunmk.supabase.co/storage/v1/object/public/sites/growth-score/site/perceptronml.com.jpg?v=2026-09-20T05%3A27%3A35.37%2B00%3A00)

The trust comparison identifies these signals:

| Product | Trust read |
| --- | --- |
| Perceptron ML | “Backed by Y Combinator” badge above the headline |
| Harvey | “We Raised $550M at a $15.5B Valuation” announcement banner in a mobile capture |
| Eve | “Trusted by 1200+ firms” plus a law-firm logo row, including Mike Morse Law Firm, Jeffrey Glassman, Frontier Law Center, and James S… |
| Robin AI | Product chat UI screenshot answering “What are the different laws that govern each contract?” across “124 Documents” wit… |
| Legora | No visible trust signal identified. |
| Paxton AI | No visible trust signal identified. |

### Trust ranking

1. Eve — 76
2. Harvey — 58
3. Perceptron ML — 52
4. Robin AI — 48
5. Legora — 38
6. Paxton AI — 38

[Build proof section](https://www.lazyweb.com/backlog?site=perceptronml.com#opt-trust-signals) to choose proof signals and receive copy and placement for a stronger trust section.

## CTA — 68, Fair

CTA evaluates copy, size, verb, and cost-feel: whether the primary CTA earns the click.

The comparison shows Perceptron ML’s **“Book a call →”** CTA alongside Paxton AI’s **“Try Paxton for Free”** CTA. The listed problems for Perceptron ML are:

- The click feels costly because it asks for time.
- No value is promised for the call.
- The secondary link carries the curiosity.

### CTA ranking

1. Paxton AI — 78
2. Perceptron ML — 68
3. Harvey — 68
4. Eve — 68
5. Legora — 68
6. Robin AI — 64

[Rewrite this CTA](https://www.lazyweb.com/backlog?site=perceptronml.com#opt-cta-writing) to generate primary and secondary CTA options grounded in Perceptron ML’s offer and visitor objections.

## Value props — 68, Fair

The report assesses whether the title, subtitle, and hero sell the product’s true value.

### Perceptron ML’s headline and subhead

> **“AI 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 the subhead.
- “Verified sources” preempts AI distrust.

### Could improve

- No numbers or proof points appear in the fold.
- The headline describes a category rather than an outcome.
- The hero image decorates rather than demonstrating anything.

### Value-prop ranking

1. Eve — 72
2. Robin AI — 72
3. Perceptron ML — 68
4. Harvey — 68
5. Paxton AI — 62
6. Legora — 58

## Mobile web — 76, Fair

Mobile web evaluates the phone experience as a first-class citizen.

![Mobile web annotations on the Perceptron ML mobile capture](https://zlfyzdmohcskkucuunmk.supabase.co/storage/v1/object/public/sites/growth-score/site/perceptronml.com-mobile.jpg?v=2026-09-20T05%3A27%3A35.37%2B00%3A00)

The annotated mobile findings are:

1. **Uncollapsed nav row** — The full desktop link row is crammed edge-to-edge instead of using a hamburger, and it duplicates the hero’s “Book a call” CTA.
2. **Six-line subhead paragraph** — Center-aligned body copy wraps into six ragged lines, creating the densest block in the fold and slowing scanning.

[View mobile fixes](https://www.lazyweb.com/backlog?site=perceptronml.com#opt-mobile-web) to convert these findings into a prioritized implementation checklist.

## Information hierarchy — 84, Strong

Information hierarchy evaluates whether the design helps or inhibits what the page is trying to say.

![Information hierarchy annotations on the Perceptron ML desktop capture](https://zlfyzdmohcskkucuunmk.supabase.co/storage/v1/object/public/sites/growth-score/site/perceptronml.com.jpg?v=2026-09-20T05%3A27%3A35.37%2B00%3A00)

The annotated findings are:

1. **See what we build** — Sits on 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

The comparison set is inferred from product, audience, and value proposition:

1. [Eve — eve.legal — 74](https://www.lazyweb.com/growth-score/site/eve.legal)
2. Perceptron ML — 70
3. [Harvey — harvey.ai — 70](https://www.lazyweb.com/growth-score/site/harvey.ai)
4. [Robin AI — robinai.com — 69](https://www.lazyweb.com/growth-score/site/robinai.com)
5. [Legora — legora.com — 60](https://www.lazyweb.com/growth-score/site/legora.com)
6. [Paxton AI — paxton.ai — 60](https://www.lazyweb.com/growth-score/site/paxton.ai)

---

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