AEO/SEO Technical Evaluation of mokahr.io Case Study Article Page

Abstract

This report provides a comprehensive technical evaluation of the mokahr.io case study article page with respect to Answer Engine Optimization (AEO) and Search Engine Optimization (SEO) standards. The assessment covers crawlability, semantic structure, meta information, content quality, images/media, and structured data (schema) implementation. Practical improvement actions are prioritized using the RICE framework, and reproduction-ready reference codes are included for each technical recommendation. Metrics for tracking success and detailed acceptance criteria are provided to support operational enhancements and ongoing monitoring of Search and Answer-focused site performance.

Overview

Overall Page Score: 81/100
Top 5 Priority Issues:
1. Missing Semantic <main>/<article> Tag: Reduces semantic clarity for search engines and accessibility tools. Benefit: Stronger structure for AEO/SEO.
2. Suboptimal Heading Hierarchy: All sections under <h2>, only some <h3>, may limit structured snippet eligibility. Benefit: Clearer content outline for Google.
3. Image alt Texts Not Explicitly Provided: Image SEO and accessibility may suffer. Benefit: Unlocks image search visibility/improves inclusivity.
4. Limited Use of <figure>/<figcaption> for Key Images: Weakens content-image relationship. Benefit: Helps entity/attribute understanding.
5. No FAQPage/HowTo Schema—Possible Missed Rich Results: If FAQs or instructions exist, they’re not marked up. Benefit: Enhanced result formats and answer box eligibility.
Page Type Judgment: Article/Case Study Blog
- Evidence: <script type="application/ld+json"> uses "@type":"Article"; "Case Study" in categories and content.

Detailed Assessment

1. Crawlability

Section Score: 19/20
Conclusion: Pass

Findings & Evidence:
- Main content present server-side, crawlable.
  - head > meta[name="robots"]: <meta name="robots" content="index,follow,max-image-preview:large">
  - HTML Structure: Proper doctype, open/closed tags, <html lang="en">
  - No robots.txt available in HTML, but <meta name="robots"> is indexable.
  - Canonical tag present, unique:
    - <link rel="canonical" href="https://www.mokahr.io/myblog/case-study-global-fashion-unicorn/">
Impact & Risk:
- Main content fully crawlable for all bots. Canonical and robots directives are search-friendly.
Repair Recommendations (Actionable):
- Spot check robots.txt separately.
- Continue to ensure that canonical URLs always match the primary article URL.

Reference Code:

<meta name="robots" content="index,follow,max-image-preview:large">
<link rel="canonical" href="https://www.mokahr.io/myblog/case-study-global-fashion-unicorn/">

2. Basic Structure

Section Score: 14/20
Conclusion: Needs Improvement

Findings & Evidence:
- Main Semantics: No <main> or <article> tag around primary content.
  - Content Main Area: <div class="qc-blog-container-center">...
- Heading Hierarchy:
  - Present: Single <h1> at article start.
    - <h1 id="title" class="qc-blog-conent-title">...
  - Subheadings: <h2>, <h3> present.
    - Sufficient for a simple article, but possible overuse of <h2>, with some <h3> for sub-points.
- Language Attribute: <html lang="en" dir="auto">
- Robots Meta: <meta name="robots" content="index,follow,max-image-preview:large">
- Canonical: <link rel="canonical" href="https://www.mokahr.io/myblog/case-study-global-fashion-unicorn/">
Impact & Risk:
- Lack of semantic <main>/<article> can slightly reduce crawl confidence/AEO clarity.
- Heading hierarchy may limit eligibility for advanced Google features (snippets, rich results).
Repair Recommendations (Actionable):
- Wrap the primary blog section in <main> or <article> (with appropriate roles).
- Review and use heading levels strictly for hierarchy—every <h2> should represent a separate section, with <h3> for sub-sections.

Reference Code:

<main>
  <!-- Existing article content here -->
</main>

3. Title & Meta Information

Section Score: 19/20
Conclusion: Pass

Findings & Evidence:
- Title Tag:
```
<title>How a Global Fashion Unicorn Used MokaHR’s AI ATS to Spot Fit Talent at Scale</title>
```
  - Length: 76 chars (slightly over, but clear, unique, and contains core keywords.)
- Meta Description:
```
<meta name="description" content="See how a 10K+ employee fashion company used MokaHR AI to turn fragmented interviews into structured hiring insights at global scale.">
```
  - Length: 114 chars (within range, well-written summary).
- Open Graph (og:title, og:description, og:image, og:url): All present and complete.
- Twitter Card: twitter:card, twitter:title, twitter:description, twitter:image, twitter:url: All present.
Impact & Risk:
- Good snippet/title display, optimized for CTR and social sharing. Slight overlength on title, but not critical.
Repair Recommendations (Actionable):
- Optionally trim title to ≤ 70 characters for guaranteed non-truncation.
- Continue to sync OG/Twitter fields with page title/summary for consistency.

Reference Code:

<title>How a Global Fashion Unicorn Used MokaHR’s AI ATS to Spot Fit Talent at Scale</title>
<meta name="description" content="See how a 10K+ employee fashion company used MokaHR AI to turn fragmented interviews into structured hiring insights at global scale.">
<meta property="og:title" content="How a Global Fashion Unicorn Used MokaHR’s AI ATS to Spot Fit Talent at Scale">
<meta property="og:description" content="See how a 10K+ employee fashion company used MokaHR AI to turn fragmented interviews into structured hiring insights at global scale.">
<meta property="og:image" content="https://static.quickcreator.io/static/aaafbjvju776ljex/image/31230c52a4e6455fa9bdc6d408fcc1e1.png">
<meta property="og:url" content="https://www.mokahr.io/myblog/case-study-global-fashion-unicorn/">
<meta name="twitter:card" content="summary_large_image">
<meta name="twitter:title" content="How a Global Fashion Unicorn Used MokaHR’s AI ATS to Spot Fit Talent at Scale">
<meta name="twitter:description" content="See how a 10K+ employee fashion company used MokaHR AI to turn fragmented interviews into structured hiring insights at global scale.">
<meta property="twitter:image" content="https://static.quickcreator.io/static/aaafbjvju776ljex/image/31230c52a4e6455fa9bdc6d408fcc1e1.png">
<meta property="twitter:url" content="https://www.mokahr.io/myblog/case-study-global-fashion-unicorn/">

4. Content Quality & Layout (Answer Priority)

Section Score: 17/20
Conclusion: Pass

Findings & Evidence:
- Answer First: The very first paragraph clearly sets the scene and explains the key problem and solution scope.
  - #qcBlogContent > p:first-of-type:
    A rapidly growing fashion-retail unicorn—10K+ employees... needed a way to turn fragmented interview data into clear, actionable signals so HR could make fast, fair, and repeatable decisions.
- Clear Structure:
  - Headings: <h2> for each primary section ("The Challenge", "The Solution", "The Results", "Conclusion")
  - Subsections: <h3>, lists (<ul><li>)
  - Paragraphs: Proper <p> tags
- Originality & Depth:
  - Cites specific numbers (1,700+ interviewers, 19,000+ interviews).
  - Offers deep insight into interview process, cohort analysis, scalable challenges, use of AI for hiring.
- Keywords:
  - Core/variant keywords ("AI ATS", "MokaHR", "interview", "hiring", "fashion", "global", "talent") present in title, meta, headings, body, and conclusion.
  - No evidence of keyword stuffing.
Impact & Risk:
- High-quality, well-structured content is highly indexable and eligible for "featured snippet"/People Also Ask boxes.
Repair Recommendations (Actionable):
- Consider more explicit "TL;DR" or "Summary" at the top for AEO.
- Maintain use of concrete data and unique detail.
- Continue using clear questions/subheadings to boost answer readiness.

5. Images & Media

Section Score: 12/20
Conclusion: Needs Improvement

Findings & Evidence:
- alt Texts:
  - Logo/author avatar: <img alt="MokaHR" ...> <img alt="avatar" ...>
  - No main content images with descriptive alt found (other than logos/avatars).
  - Main illustrative images (like in OG/Twitter meta) seem not directly embedded in content, thus not visible as <img> with descriptive content context in article body.
- Semantic Filenames:
  - OG/social image: 31230c52a4e6455fa9bdc6d408fcc1e1.png (Not human-semantic—random hash for CDN).
- Image-Text Relationship:
  - No <figure>/<figcaption> use present in content area.
- Key evidence:
  - #avatar, logos have alt, but not descriptive, and no main visual used in body.
Impact & Risk:
- Missed opportunity for image SEO: images will not rank well in Google Images; accessibility incomplete.
- Content-image association for AEO/Answer Box is lacking.
Repair Recommendations (Actionable):
- For every content-meaningful image, add descriptive alt.
- For report/diagram/screenshot-type images, use <figure>/<figcaption> with summary or source/explanation.
- Use more semantic filenames where possible.
Reference Code:

Sample: MokaHR’s AI-powered interview insights panel as deployed at global scale.

6. Structured Data (Schema)

Section Score: 20/20
Conclusion: Pass

Findings & Evidence:

Found in <head>, type: Article.


{
  "@context":"http://schema.org",
  "@type":"Article",
  "headline":"How a Global Fashion Unicorn Used MokaHR’s AI ATS to Spot Fit Talent at Scale",
  "author":{"@type":"Person","name":"MokaHR"},
  "datePublished":"2025-09-23T08:08:56.000Z",
  "dateModified":"2025-09-29T00:00:14.000Z",
  "image":["https://static.quickcreator.io/static/aaafbjvju776ljex/image/31230c52a4e6455fa9bdc6d408fcc1e1.png"],
  "url":"https://www.mokahr.io/myblog/case-study-global-fashion-unicorn/",
  "publisher":{"@type":"Organization","name":"MokaHR","url":"https://www.mokahr.io"}
}

All core Article fields present: headline, author, dates, image, publisher, canonical url.
Consistency: Data matches page title, author, and dates.
No FAQPage/HowTo used (none present in content).

Impact & Risk:
- Strong eligibility for rich snippets and news-style display in search results.
Repair Recommendations (Actionable):
- Add mainEntityOfPage and publisher.logo for full coverage.
- Mark up any future FAQ/HowTo or step-by-step content.

Reference Code:


{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "How a Global Fashion Unicorn Used MokaHR’s AI ATS to Spot Fit Talent at Scale",
  "author": { "@type": "Person", "name": "MokaHR" },
  "datePublished": "2025-09-23",
  "dateModified": "2025-09-29",
  "image": ["https://static.quickcreator.io/static/aaafbjvju776ljex/image/31230c52a4e6455fa9bdc6d408fcc1e1.png"],
  "publisher": { 
    "@type": "Organization",
    "name": "MokaHR",
    "logo": { "@type": "ImageObject", "url": "[Add logo absolute URL here]" }
  },
  "mainEntityOfPage": "https://www.mokahr.io/myblog/case-study-global-fashion-unicorn/"
}

Structured Data Recommendations (Improvements)

Recommended Type: Article (correct – best for this content)
Required Field Mapping:
- Title: From <h1> or title tag
- Author: From .author-name
- Main image: OG image URL
- Publish date: From .second-level #publishDate
- Publisher name/logo: Use site branding image
Copyable JSON-LD Template:


{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "How a Global Fashion Unicorn Used MokaHR’s AI ATS to Spot Fit Talent at Scale",
  "author": { "@type": "Person", "name": "MokaHR" },
  "datePublished": "2025-09-23",
  "dateModified": "2025-09-29",
  "image": [
    "https://static.quickcreator.io/static/aaafbjvju776ljex/image/31230c52a4e6455fa9bdc6d408fcc1e1.png"
  ],
  "publisher": {
    "@type": "Organization",
    "name": "MokaHR",
    "logo": { "@type": "ImageObject", "url": "https://statics.mylandingpages.co/static/aaafbjvju776ljex/image/50a59ecd819e4aed9e4dc44ab68b8202.png" }
  },
  "mainEntityOfPage": "https://www.mokahr.io/myblog/case-study-global-fashion-unicorn/"
}

Improvement Priority List (RICE Framework)

Task	Impact	Reach	Effort	Priority
Add `<main>` or `<article>` tags around main content	High	High	Small	1
Refine heading hierarchy for strict logical nesting	Medium	High	Small	2
Ensure all significant images have meaningful `alt` text	Medium	Medium	Small	3
Wrap figures in `<figure>/<figcaption>` for narratives	Medium	Medium	Small	4
Add FAQPage/HowTo schema if implementing Q&A/steps	High	Med	Small	5
Use semantic filenames for new image resources	Low	Med	Medium	6
Reduce page `<title>` to ≤70 characters (if feasible)	Low	Med	Small	7
Expand structured data: `publisher.logo`, `mainEntityOfPage`	Low	Medium	Small	8

Tracking & Acceptance

Area	Indicator	Expected Outcome / Check
Semantic tags adoption	% pages using correct `<main>/<article>`	100% of articles updated
Heading hierarchy	Lighthouse/axe accessibility reports	No "out of order/level" heading errors
Image alt text & figure usage	Wave/axe accessibility audits; image search	Effective alt/figure/caption scores rise
Schema upgrades	Google Rich Results Test	No missing/invalid properties; eligible badge
Title/meta length	Mobile/desktop SERP preview tools	No truncation; core phrase visible
FAQ/HowTo markup (if relevant)	Rich Results Test, GSC enhancements	Snippet eligibility, GSC impressions rise

Acceptance Criteria

Updated pages pass HTML5 validation for semantic structure.
All meaningful images in main content verified to have descriptive alts.
Re-run on-page accessibility and SEO audits: score up, errors down.
Schema and meta tags surface as eligible in Google Rich Results Test.
Core keyword appears in title, summary, and primary headings.
GSC (Google Search Console) shows improved impressions/CTR.
Image search: key visuals appear for primary queries.
No drop in desktop/mobile index coverage.

End of AEO/SEO Technical Audit