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How to Use AI Content Testing in MessageWorks

A practical guide to AI Content Testing in MessageWorks, including what it does, when to use it, required setup, and how to interpret insights before publishing content.
Learn how AI Content Testing in MessageWorks works, when to use it, prerequisites, and step-by-step workflows to validate content before launch.

Direct Answer

AI Content Testing in MessageWorks is accessed through Content Testing in the left navigation, where you create a Content Test for a specific piece of content.

You:

  • Pick a target audience (from your Positioning Intelligence Hub or a custom audience)
  • Choose a content type (blog post, LinkedIn post, web copy, or email)
  • Paste in your draft
  • Click Run Test

MessageWorks then uses synthetic focus-group-style reactions and your positioning data to surface:

  • An overall score
  • Key insights
  • Performance drivers and levers
  • Detailed response distributions

All results appear in a user-friendly Insights Studio, giving you an evidence-led view of:

  • What to fix
  • What to keep
  • How well your content aligns with strategy

before you put it in front of real buyers.

1. What This Feature Does

Creates a Content Test

  • Start from Content Testing → User Inputs
  • Create a new Content Test
  • Each test evaluates one draft asset

Accepts Structured Content Inputs

  • Select a content type:
    • Blog post
    • LinkedIn post
    • Web copy
    • Email
  • Email subtypes (by buyer stage)
    • Cold outreach
    • Awareness
    • Lead
    • Opportunity
    • Customer
  • Web copy subtypes (by page type):
    • Home page
    • Landing page
    • Audience page
    • Solution page
    • Other
  • Paste the content text you want to test

Targets a Specific Audience

On the Content Inputs page, choose an audience type:

  • Single Persona
    • Select a segment
    • Select exactly one persona
  • Full Segment
    • Pick one defined segment
  • Entire Hub
    • Use all personas and segments

  • Custom Audience
    • Define a custom segment or persona
    • Fill in requested details

Uses Your Positioning Intelligence Hub

  • Requires a completely filled-out Positioning Intelligence Hub
  • Hub can be populated via:
    • 3-minute QuickStart
    • Positioning Discovery workflow
  • Hub should be reviewed and refined by your team

Returns Structured Results

Key Insights

  • Prioritized feedback tailored to content type
  • Categories:
    • Recommendations
    • Optional recommendations
    • Affirmations
    • Assessments

Performance Drivers & Levers

  • 5–6 drivers per content type (e.g., credibility)
  • Multiple levers per driver (e.g., evidence framing, intertextual anchoring)
  • Each lever includes:
    • Scores
    • Response distributions:
      • Very favorable
      • Favorable
      • Neutral
      • Negative

Content Tested Panel

  • Tested content preview
  • Aggregate single score
  • Links to view full content

Supports Manual Iteration

  • You apply recommendations manually
  • You can run a new Content Test on the revised version

2. When to Use It

  • Before launching major campaign assets
    • Email sequences
    • Launch announcements
    • Hero landing pages
  • Aligning complex or multi-product narratives
  • ABM and strategic account content
    • CIO / CISO / LoB-focused messaging
  • Agency creative validation
    • De-risk big ideas before client review
  • Founder-led storytelling
    • Homepage rewrites
    • Pitch emails
    • LinkedIn posts

3. Prerequisites

Access & Permissions

  • Admin must grant access to Content Testing
  • Admin controls:
    • Who can run tests
    • Who can see results

Positioning Intelligence Hub Readiness

  • Hub must be fully populated
  • Populate via:
    • 3-minute QuickStart
    • Positioning Discovery workflow
  • Review and finalize before testing

Defined Audiences

  • Required for:
    • Single Persona
    • Full Segment
    • Entire Hub
  • Custom Audience requires manual details

Supported Content Formats

  • Text-only (paste content)
  • Supported types:
    • Blog post

    • LinkedIn post

    • Web copy

    • Email

4. Step-by-Step Workflow

1. Confirm Hub Readiness

Result:
Company, segments, personas, jobs-to-be-done, value pillars, and proof points are captured.

Note:
If not ready, run QuickStart and/or Positioning Discovery first.

2. Open Content Testing

  • Left navigation → Content Testing

  • Go to User Inputs

Result:
You’re on the Content Inputs page.

3. Choose Audience Type

Options:

  • Single Persona

  • Full Segment

  • Entire Hub

  • Custom Audience

Notes:

  • Single Persona → segment + exactly one persona

  • Full Segment → one segment

  • Entire Hub → no extra selection

  • Custom Audience → define details

4. Select Content Type & Subtype

  • Content types:

    • Blog post

    • LinkedIn post

    • Web copy

    • Email

  • Email → buyer stage

  • Web copy → page type

Result:
Correct evaluation framework is applied.

5. Paste Content

  • Paste full text into input area

Note:
Text only — no file uploads.

6. Run the Test

  • Review inputs
  • Click Run Test

Result:
Synthetic audience reactions + positioning evaluation are generated.

7. Review Key Insights

Look at:

  • Recommendations

  • Optional recommendations

  • Affirmations

  • Assessments

Result:
Clear prioritization of what to fix and what’s working.

8. Explore Performance Drivers & Levers

  • Review driver scores

  • Click into levers to see:

    • Questions asked

    • Response distributions

Result:
Understand why the content performs as it does.

9. Review Content Tested Panel

  • Content preview

  • Aggregate score

  • Links to full content

10. Revise and Re-Test

  • Apply insights in your editor

  • Run a new Content Test

Result:
Stronger alignment and resonance over iterations.

5. Example Walkthrough

Scenario:
VP of Product Marketing tests a launch email for opportunity-stage prospects.

  1. Confirms hub is populated for:

    • Segment: Multi-Product B2B SaaS GTM Teams

    • Persona: VP Product Marketing

  2. Opens Content Testing → User Inputs

  3. Chooses Single Persona

  4. Selects:

    • Content type: Email

    • Buyer stage: Opportunity

  5. Pastes launch email

  6. Runs test

  7. Reviews insights:

    • Recommendation: unclear business outcomes

    • Optional: reduce jargon

    • Affirmations: strong subject line

  8. Notices low credibility score

  9. Revises email with proof points

  10. Re-tests and sees improved results

6. Limits, Edge Cases, and Safety Checks

  • One variant per test

  • Manual application of feedback

  • Hub completeness matters

  • Text-only input

  • Limited to supported content types

  • Synthetic (not human) audiences

  • Visibility depends on admin defaults

7. Troubleshooting

Issue: Content Testing not visible
Cause: No access
Fix: Ask admin for access

Issue: Options unavailable
Cause: Hub incomplete
Fix: Complete QuickStart / Discovery

Issue: Generic insights
Cause: Weak hub data
Fix: Update personas and segments

Issue: Can’t select persona
Cause: Persona missing or wrong audience type
Fix: Check hub and audience selection

Issue: Low driver score confusion
Cause: Levers not explored
Fix: Drill into drivers and distributions

Issue: Unexpected visibility
Cause: Admin sharing defaults
Fix: Confirm visibility settings

8. FAQ

What is a Content Test?
A structured evaluation of a single draft asset using synthetic audience reactions

How do I choose an audience?
Select Single Persona, Full Segment, Entire Hub, or Custom Audience on the Content Inputs page.

What content types are supported?
Blog posts, LinkedIn posts, web copy, and emails (with subtypes).

Can I A/B test?
You can easily test two versions of a piece of content by running two separate tests and comparing results.

Is the hub required?
Yes — a completed Positioning Intelligence Hub is required.

Does it rewrite content?
No — feedback is manual. We will be releasing a “Rewrite with AI” feature later in 2026.

Who can see results?
Controlled by admin sharing defaults.

Can I upload files?
No — paste text only.

How deep can results go?
Down to driver-level questions and response distributions.

Does this replace real user testing?
Not always — it’s a fast, pre-launch diagnostic.

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