Skip to main content

Tabs and Badges in Blog Posts

Version 2.0 Standard: Premium

Most blog posts are written for one imaginary reader. Real audiences contain multiple segments — beginners and experts, developers and marketers, Windows users and macOS users. Forcing all segments through the same linear reading experience creates a post that is perfect for no one.

Tabs solve this. Badges set expectations. Together, they turn a generic post into a personalized experience — without requiring the writer to publish multiple versions of the same article.

Part 1 — Tabs: Audience Segmentation Within a Single Post​

A Tabs component splits one section of a blog post into mutually exclusive panels. The reader chooses which panel applies to them and reads only that. All other panels collapse.

The strategic insight: this reduces the effective word count for every reader while keeping the total content depth of the post high. A 3,000-word post with three audience segments effectively reads as a 1,000-word post for each segment — which dramatically improves completion rate and dwell time quality.

flowchart LR
    A["3,000-word post\nwith 3 audience segments"] --> B["Tabs implemented"]
    B --> C["Beginner reader\nsees ~1,000 relevant words"]
    B --> D["Developer reader\nsees ~1,000 relevant words"]
    B --> E["Agency owner\nsees ~1,000 relevant words"]
    C --> F["Higher completion rate\nper segment"]
    D --> F
    E --> F

When to Use Tabs in a Blog Post​

Use Tabs when the content is mutually exclusive — only one option applies to any given reader:

  • OS-specific instructions: Windows vs. macOS vs. Linux install steps
  • Skill level: Beginner explanation vs. Advanced explanation of the same concept
  • Tool alternatives: Plugin A vs. Plugin B installation — reader uses one, not both
  • Comparison: Before/After, Good Example/Bad Example, Do/Don't
  • Role-based guidance: Developer steps vs. Editor steps vs. Admin steps

Part 2 — The "Before vs. After" Tab Pattern​

This is the most powerful tabs pattern in blog writing. It is not about audience segmentation — it is about demonstrating contrast without requiring the reader to scroll between two distant examples.

The "Before/After" tab pattern appears in the highest-performing SEO content across all niches:

  • Recipe blogs: "Before seasoning" vs. "After plating"
  • Marketing blogs: "Weak headline" vs. "Optimized headline"
  • Technical blogs: "Broken code" vs. "Fixed code"
  • SEO blogs: "Thin content" vs. "Quality content"

The Pattern​

Welcome to our website! We offer many great products and services. Click here to learn more about what we do and how we can help you today.

Why it fails:

  • "Welcome to our website" wastes the first 5 words — the most valuable real estate in a SERP listing.
  • No target keyword appears in the first 60 characters.
  • "Click here" is a dead call-to-action — it describes the action, not the benefit.
  • At 155 characters, it fills the entire slot with zero user value.

Part 3 — Tabs Implementation in MDX​

The Tabs component requires an import at the top of the file. Add it immediately after your frontmatter block, before the heading.

import Tabs from '@theme/Tabs';
import TabItem from '@theme/TabItem';

Basic syntax:

<Tabs>
  <TabItem value="option-a" label="Option A" default>

    Content for Option A goes here.
    You can include markdown, code blocks, and callouts.

  </TabItem>
  <TabItem value="option-b" label="Option B">

    Content for Option B goes here.

  </TabItem>
</Tabs>
Synchronized Tabs across a long post

If your tutorial has 6 steps and each step has OS-specific sub-instructions, add groupId="operating-system" to each Tabs group. When the reader selects "macOS" in Step 1, every other Tabs group on the page automatically switches to "macOS." This is the difference between a good technical blog post and an exceptional one.

The reader's choice is also saved in their browser's localStorage — they return to the page already on their selected tab.

Part 4 — Badges: Setting Expectations Before Reading​

A badge is an inline label that signals the status of content before the reader commits to reading it. It answers the implicit question every reader has at the top of a page: "Is this for me? Is this current? Should I trust this?"

Badge Color Semantics​

ColorMeaningExample Use in Blog Posts
NewRecently addedNew technique, newly documented feature
v2.0Version referenceContent updated for a new tool version
RecommendedEditorial endorsementThe preferred approach among several options
BetaUnstable / experimentalTechnique that works but is not yet proven at scale
DeprecatedNo longer validApproach that used to work but now causes issues

Three Badge Placement Patterns​

Pattern 1 — Page-level status (standard)

Every content page should open with two badges below the H1. The first signals the content version. The second signals the quality tier. Readers scan these before the intro paragraph.

# Your Post Title

<span className="badge badge--secondary">Updated: Q1 2026</span>
<span className="badge badge--success">Standard: Expert</span>

Pattern 2 — Option-level status inside a Tabs group

When presenting tool alternatives or method comparisons, use badges inside each tab to communicate the status of that specific option before the reader reads the details.

<TabItem value="redis" label="Redis">

<Badge text="Recommended" color="success" /> <Badge text="Production Ready" color="primary" />

Redis stores cache objects in RAM and survives PHP-FPM restarts...

</TabItem>
<TabItem value="apcu" label="APCu">

<Badge text="Single Server Only" color="warning" />

APCu stores cache in PHP shared memory. Fast, but not shareable across servers...

</TabItem>

Pattern 3 — Inline within feature lists

**What is included in this tutorial:**

- Keyword Research <Badge text="Free Tools" color="secondary" />
- On-Page Optimization <Badge text="Core Skill" color="success" />
- Schema Markup <Badge text="Advanced" color="warning" />
- Link Building <Badge text="Not Covered" color="danger" />

Part 5 — Bad vs. Good: The Mixed Audience Problem​

How to install Rank Math SEO

To install Rank Math, log into your WordPress admin dashboard and go to Plugins > Add New. Search for "Rank Math SEO" and click Install Now. Once installed, click Activate. The setup wizard will launch automatically. If you are a developer installing via Composer, run composer require rankmath/seo-by-rank-math. For WP-CLI users, run wp plugin install seo-by-rank-math --activate.

(Why it fails: Beginners get confused by the Composer and WP-CLI instructions. Developers have to wade through the admin UI instructions. Everyone reads 60% of content that does not apply to them.)

Part 6 — Output Checklist​

Before publishing a post with Tabs and Badges:

  • Tabs import is at the top of the .mdx file.
  • Badge component is exported at the top of the file if using <Badge>.
  • Tabs are used only for mutually exclusive content — not for sequential steps.
  • groupId is set on all Tabs groups covering the same audience dimension.
  • Page-level badges appear directly below the H1 on every article.
  • Badge colors follow semantic convention — success for recommended, warning for unstable, danger for deprecated.
  • "Before/After" tab pattern is used for any comparison that spans more than 2 paragraphs.