Entity Clarity
31 / 100
GrowthProof module
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
Entity Clarity
31 / 100
Answer Structure
24 / 100
Schema Readiness
29 / 100
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.
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.
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
| Signal | Finding | Severity | Recommended action |
|---|---|---|---|
| Entity clarity | The brand is not explained in a machine readable way | Critical | Add clear entity and service definitions |
| FAQ structure | Key questions are not answered directly enough | Critical | Add structured FAQ sections |
| Service pages | Services lack crisp answer blocks | High | Add answer first content blocks |
| Proof signals | Authority signals are not grouped clearly | Medium | Add credentials, outcomes, and proof blocks |
| Schema | Structured data appears incomplete or absent | High | Add relevant schema where appropriate |
We help businesses grow through digital marketing.
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.
Step 1
Define the entity
Clarify machine-readable identity
Signal improvement: Higher retrieval precision
Step 2
Write answer first service blocks
Increase response usefulness
Signal improvement: Better answer extraction
Step 3
Add FAQ sections
Cover high-frequency buyer questions
Signal improvement: More complete answer footprint
Step 4
Add proof clusters
Strengthen trust signals
Signal improvement: Higher authority confidence
Step 5
Add structured data
Support machine interpretation
Signal improvement: Improved indexing context
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
Public answer-structure signals are strong enough for friction diagnosis, but citation behavior needs connected monitoring.
Based on public content structure and answer readiness. Confirmation requires testing across AI search tools and monitoring citations or mentions over time.
Public scan sees
Connect to improve