GrowthProof module

AEO Readiness

The brand is not structured clearly enough for AI engines to understand, retrieve, and explain it.

Entity definition, answer formatting, and structured support signals are underdeveloped.

Module score

28 / 100

Invisible

Entity Clarity

31 / 100

Answer Structure

24 / 100

Schema Readiness

29 / 100

Stage breakdown

Entity definition

Critical

Core identity is not machine-readable enough.

Service explanation

Weak

Service outcomes are too generic.

FAQ structure

Critical

Direct question/answer coverage is thin.

Proof signals

Weak

Authority indicators are scattered.

Schema support

Critical

Structured data support is incomplete.

What GrowthProof checked

Clear entity definition

Critical

Entity boundaries are unclear in public content.

Answer ready headings

Critical

Headings are not formatted for answer retrieval.

FAQ coverage

Critical

High-intent questions are not answered directly.

Structured data

Critical

Schema support appears absent or incomplete.

Service definitions

Weak

Service explanation lacks precision.

Comparison content

Weak

No clear comparison-oriented assets.

Evidence from the scan

Entity clarity

The brand is not explained in a machine readable way

Severity: Critical

Action: Add clear entity and service definitions

FAQ structure

Key questions are not answered directly enough

Severity: Critical

Action: Add structured FAQ sections

Service pages

Services lack crisp answer blocks

Severity: High

Action: Add answer first content blocks

Proof signals

Authority signals are not grouped clearly

Severity: Medium

Action: Add credentials, outcomes, and proof blocks

Schema

Structured data appears incomplete or absent

Severity: High

Action: Add relevant schema where appropriate

AEO Readiness Radar

radar
Entity clarity
31
Answer structure
24
FAQ coverage
22
Proof density
41
Schema readiness
29

Before

We help businesses grow through digital marketing.

After

Luma Growth Lab is a growth systems company that helps founder led businesses fix website, search, AI visibility, lead capture, and follow up friction.

It gives AI engines a direct, structured explanation of what the business is and when it is relevant.

Priority fix sequence

  1. Step 1

    Define the entity

    Clarify machine-readable identity

    Signal improvement: Higher retrieval precision

  2. Step 2

    Write answer first service blocks

    Increase response usefulness

    Signal improvement: Better answer extraction

  3. Step 3

    Add FAQ sections

    Cover high-frequency buyer questions

    Signal improvement: More complete answer footprint

  4. Step 4

    Add proof clusters

    Strengthen trust signals

    Signal improvement: Higher authority confidence

  5. Step 5

    Add structured data

    Support machine interpretation

    Signal improvement: Improved indexing context

Impact vs effort

Add FAQ sections

Low effort / High impact

Write service definitions

Low effort / High impact

Add structured data

Medium effort / Medium impact

Create comparison content

Medium effort / High impact

Improve entity clarity

Low effort / High impact

Signal strength

Public answer-structure signals are strong enough for friction diagnosis, but citation behavior needs connected monitoring.

Confidence level: Medium

Based on public content structure and answer readiness. Confirmation requires testing across AI search tools and monitoring citations or mentions over time.

Data sources that improve this diagnosis

Public scan sees

  • Structured answers
  • FAQ content
  • Schema signals
  • Entity clarity

Connect to improve

  • AI visibility tracking
  • Brand mention monitoring
  • Server logs if available
Improve Diagnosis Accuracy

Related diagnostics

Back to OverviewView 30 Day Repair PlanBook Strategy Call