Type: Pro
Purpose: Displays compact, topic-based “chips” after the article content that link readers to thematically related posts, offering a clean and minimal discovery interface.
What It Does
After the article, the module renders a row of small, pill-shaped chips — each representing a related topic or article. Readers can click a chip to continue their reading journey on a related subject.
Chips are more compact than full recommendation cards and work well in minimal or content-focused layouts where a large recommendations block would feel intrusive.
How It Works
Supercharger uses the vector index to find posts that are semantically related to the current article. Each chip is labeled either by the AI (with a short topic label), automatically (using the related post’s title or category), or with a custom label you define.
> Requirement: This module requires the content index to be populated. See Understanding Indexing.
Settings
General
| Setting | Description | Default |
|---|---|---|
| Number of Chips | How many chips to display (1–10) | 4 |
| Label Source | How chip labels are generated: ai (AI writes a 2–4 word topic label), auto (post title or category) | ai |
| Show Similarity Score | Show the relevance score on each chip | Disabled |
Display
| Setting | Description | Default |
|---|---|---|
| Widget Title | Label shown above the chip row | Next Up |
Label Source Options
- ai — Supercharger generates a short 2–4 word topic label for each chip. More editorial but uses an additional AI call per post.
- auto — Uses the related post’s title or primary category. No additional API usage.
Display
Chips are rendered as a horizontally scrollable row using the CSS class supercharger-chips. Each chip is an anchor tag styled as a pill/badge. The design is minimal and adapts to most themes.
Tips
- 3–5 chips is optimal for most layouts. More chips may not all be visible without scrolling on mobile.
- The
ailabel source creates more editorial-quality labels but adds API usage. Theautooption is a good balance for most sites. - Chips complement rather than replace a full recommendations block. You can use both this module and AI Recommendations simultaneously.