AI Testimonial Selection System

A Gemini-supported workflow for identifying compliant, campaign-ready testimonials across approved student response datasets.

Tags: AI Content Systems · Compliance · Campaign Messaging · Education Marketing

Context

Enrollment marketing needed a scalable way to identify strong testimonial content across multiple education brands. The goal was to surface student stories that could support campaign messaging while staying aligned with brand, compliance, and channel requirements.

Problem

Manual testimonial selection was slow, inconsistent, and difficult to scale. Reviewers needed to evaluate each quote for message fit, length, usability, and compliance risk, including unsupported salary claims, employment guarantees, or language that could not be verified.

Without a structured process, testimonial selection created bottlenecks and increased the risk of inconsistent value messaging across campaigns.

Solution

I designed a Gemini-supported review framework to evaluate approved testimonial content against compliance, brand, and campaign criteria.

The workflow helped identify usable testimonials, flag risky language, and prepare selections for campaign planning while preserving the original meaning of the student response.

System Design

Input
Approved CSV datasets of student testimonial responses.

Processing
AI-assisted filtering using compliance requirements, brand voice considerations, campaign criteria, length limits, and message fit.

Output
Pre-formatted testimonial selections ready for campaign review and channel planning.

Constraints & Strategy

The system was designed to keep testimonial use accurate, compliant, and campaign-ready.

  • Removed or flagged unverifiable claims, including salary outcomes and employment guarantees

  • Enforced brand voice consistency across testimonial selections

  • Limited length for ad, social, and campaign usability

  • Preserved original meaning without rewriting student responses

  • Prioritized testimonials aligned to program-specific positioning

Product Marketing Impact

The workflow helped turn approved testimonial content into a more scalable messaging resource. Instead of reviewing quotes as isolated one-off assets, the system supported consistent value messaging across brands, programs, and campaigns.

It also helped connect student proof points to program-specific positioning, making testimonials more useful for enrollment marketing and campaign development.

Impact

  • Reduced manual review time

  • Increased scalability across campaigns

  • Improved consistency in testimonial selection

  • Strengthened compliance awareness within the content workflow

  • Supported more consistent product and program value messaging