AI Features
ShipPulse uses large language models to automatically analyze testimonials and feedback, surface the most useful content, and reduce manual moderation work.
AI processing happens asynchronously in the background — it doesn't block submission or display of content. Available on Pro and Agency plans.
Sentiment analysis
Every testimonial is automatically scored for sentiment when it is submitted or imported. Sentiment analysis runs on the full text of the testimonial, not just keywords.
Sentiment scores
| Label | Score range | Meaning |
|---|---|---|
| positive | 0.67 – 1.0 | Clearly positive feedback, suitable for featuring |
| neutral | 0.34 – 0.66 | Mixed or factual feedback without strong polarity |
| negative | 0.0 – 0.33 | Negative feedback — flag for review |
Where to see it
In your dashboard, every testimonial card shows a sentiment badge (Positive / Neutral / Negative). The Testimonials list can be filtered by sentiment. High-volume projects will also see a sentiment distribution chart in Analytics.
Highlight extraction
For each testimonial, the AI extracts the single most impactful sentence or phrase — the "highlight". This is shown as a callout on the testimonial card and used in the Wall of Love widget to show the most compelling quote.
How it works
Where to see it
Highlights appear as a styled pull-quote on testimonial cards. In Wall of Love and Carousel widgets, the highlight is shown prominently below the star rating. Highlighted testimonials also get priority in "Best" sort mode.
Duplicate detection
When a user submits a bug report or feature request on your Feedback Board, ShipPulse checks for semantically similar existing submissions — not just exact keyword matches.
Algorithm
Where to see it
The Feedback moderation queue shows a "Possible duplicates" indicator on flagged submissions. You can dismiss the duplicate suggestion or merge items with one click.
AI changelog summaries
When creating a changelog entry, ShipPulse can generate a customer-friendly summary from your technical release notes or Git diff. The AI rewrites jargon into plain language suitable for non-technical users.
How to use it
1. Open the changelog editor and click ✨ Generate summary.
2. Paste your technical notes or leave the body field with raw text.
3. The AI generates a customer-friendly version. Review and edit before publishing.
4. The original technical text is preserved as an internal note if needed.