AEO/SEO Evaluation of Recruitment Automation Software Article Page

Abstract

This report presents a rigorous AEO/SEO technical and content audit of the “AI-Powered Recruitment Automation Software” article/landing page from MokaHR (https://www.mokahr.io/recruitment-automation/). The evaluation encompasses crawlability, meta data, semantic markup, content structure, image/media accessibility, and critical Schema.org structured data. Each section is rated quantitatively and qualitatively, with concrete repair recommendations and code prototypes provided. The audit identifies priority issues—including missing JSON-LD Article/FAQ schema, canonical/OG url mismatch, absent semantic wrappers, generic/empty image alt texts, and lack of author/publisher markup—which impede rich result eligibility and trust signals. Mapping is included for structured data remediation, and a simplified RICE scoring prioritizes action steps. Acceptance metrics and best practices criteria are supplied to enable robust implementation and measurable SEO outcomes.

Overall Evaluation

76 /100

Overall Page Score

Top 5 Priority Issues

Missing Structured Data (Schema.org Article/FAQPage JSON-LD) High Impact — Prevents rich snippets in search (FAQ, article info); critical for AEO/SEO.
Canonical and OG URL Mismatch High Impact — Weakens canonical signals; may cause indexing confusion/duplication in SERPs.
No <main> / <article> Semantic Wrapping Medium Impact — Diminishes semantic clarity for crawlers and accessibility tools.
Image Alt Texts Often Empty/Generic Medium Impact — Hurts accessibility and image search rankings.
No Unique Author/Publisher Markup Medium Impact — Affects news/article expertise and trust signals in Google.

Page Type Judgment: Article/Marketing Landing Page

Evidence: OG type is "article" (<meta property="og:type" content="article">), structure matches article/marketing best practices (Intro, Features, FAQ, CTA).
Not News: No publication date or news-specific tags found.
Not Blog: No explicit blog/article taxonomy or meta.

Detailed Assessment

1) Crawlability

Section Score: 19/20 Conclusion: Pass

Page Accessible to Crawlers: <meta name="robots" content="index, follow, max-image-preview:large, max-snippet:-1, max-video-preview:-1"> Indexing enabled.
Canonical Link Present (but Mismatched): <link rel="canonical" href="https://www.mokahr.io/recruitment-automation/"> OG:url is different.
No robots.txt or X-Robots Evidence: Not present in HTML (as expected).
No <main> or <article> Semantic Parent: Main content in div; missing semantic wrappers.
HTML Language Set: <html lang="en-GB">

Impact & Risk: Crawlability is nearly complete; however, lack of semantic tags and mismatched canonical/OG URL can result in suboptimal crawling or indexing results.

Recommendations:

Add <main> wrapper for main content.
Align canonical and OG:url for page unity.

<main>
  <!-- ...controller/content sections... -->
</main>
<link rel="canonical" href="https://www.mokahr.io/recruitment-automation/" />
<meta name="robots" content="index,follow" />

2) Title & Meta Information

Section Score: 16/20 Conclusion: Needs Improvement

Title: AI-Powered Recruitment Automation Software | Moka ATS Good.
Meta Description: MokaHR's AI recruitment automation streamlines hiring workflows: auto-screening, interview scheduling, offer management & analytics. Boost efficiency by 34% with seamless integration. Relevant & concise.
Open Graph:
- og:image uses relative path
- Canonical vs OG:url mismatch
- og:title typo: extraneous <
Twitter Card: <meta name="twitter:card" content="summary_large_image"> No twitter:title or twitter:description.

Impact & Risk: Meta data is mostly effective, but technical flaws in OG image/URL and Twitter card elements weaken share and index performance.

Recommendations:

Make OG:image absolute (e.g., https://www.mokahr.io/wp-content/uploads/2024/07/mokahr_img-product.png).
Align OG:url with canonical.
Clean up OG:title.
Add twitter:title and twitter:description.

<title>AI-Powered Recruitment Automation Software | Moka ATS</title>
<meta name="description" content="MokaHR's AI recruitment automation streamlines hiring workflows: auto-screening, interview scheduling, offer management & analytics. Boost efficiency by 34% with seamless integration.">
<link rel="canonical" href="https://www.mokahr.io/recruitment-automation/" />
<meta property="og:title" content="AI-Powered Recruitment Automation Software | Moka ATS">
<meta property="og:description" content="MokaHR's AI recruitment automation streamlines hiring workflows: auto-screening, interview scheduling, offer management & analytics. Boost efficiency by 34% with seamless integration.">
<meta property="og:image" content="https://www.mokahr.io/wp-content/uploads/2024/07/mokahr_img-product.png">
<meta property="og:url" content="https://www.mokahr.io/recruitment-automation/">
<meta property="og:site_name" content="MokaHR">
<meta property="og:type" content="article">
<meta name="twitter:card" content="summary_large_image">
<meta name="twitter:title" content="AI-Powered Recruitment Automation Software | Moka ATS">
<meta name="twitter:description" content="MokaHR's AI recruitment automation streamlines hiring workflows: auto-screening, interview scheduling, offer management & analytics. Boost efficiency by 34% with seamless integration.">
<meta name="twitter:image" content="https://www.mokahr.io/wp-content/uploads/2024/07/mokahr_img-product.png">

3) Content Quality & Layout (AEO/Answer First)

Section Score: 15/20 Conclusion: Needs Improvement

Answer First: Core user question only answered in brand copy, not in concise summary/FAQ format at top.
Clear Structure: Effective subheading/section use; hierarchy clear.
Depth & Originality: Good feature breakdown and quantified claims; lacks citations/case studies.
Keyword Usage: No stuffing; coverage of core phrases in titles/body.
FAQ Present: Actual FAQ section, not marked up as Schema.

Impact & Risk: Main user intent is mostly addressed, but answer-first and structured data needed for AEO.

Recommendations:

Add concise, answer-first <p> under main headline ("What is recruitment automation?").
Mark up FAQs using Schema/JSON-LD.

4) Images & Media

Section Score: 14/20 Conclusion: Needs Improvement

alt Texts: Many img tags have empty or generic alt; little descriptive coverage.
Semantic Filenames: Most filenames functional but generic; only a few are semantically descriptive.
Image-Text Relationship: Lacks <figure> and <figcaption>; no semantic markup for key visual elements.

Impact & Risk: Accessibility and image SEO opportunities are missed.

Recommendations:

Add unique, accurate alt texts to important images.
Use semantic names for key product illustrations.
Wrap major images in <figure><figcaption> as needed.

<img src="/wp-content/2025/recruitment/automation/section1_img1.jpg" alt="Illustration of MokaHR AI recruitment automation dashboard" />
<figure>
  <img src="/wp-content/2025/recruitment/automation/xuanfu1/main.png" alt="Job posting automation interface">
  <figcaption>One-click job posting and management workflow</figcaption>
</figure>

5) Structured Data (Schema.org)

Section Score: 12/20 Conclusion: Critical Issue

No JSON-LD/Microdata/RDFa found.
No Article/BlogPosting/FAQPage schema.
FAQ section present only in raw HTML.

Impact & Risk: Absence of schema precludes eligibility for Google rich results. Missed opportunity for enhanced SERP presentation and trust.

Recommendations:

Add Article and FAQPage JSON-LD schema in the head.
Map fields directly from content as shown below.

Structured Data Recommendations

Recommended Type: Article (primary page type) and FAQPage (for FAQ section).
Field Mapping: Use values exactly as present in page (see audit for mapping sources).

Article JSON-LD Template

{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "AI-Powered Recruitment Automation Software | Moka ATS",
  "author": {
    "@type": "Organization",
    "name": "MokaHR"
  },
  "dateModified": "2024-07-24T04:02:53+00:00",
  "image": [
    "https://www.mokahr.io/wp-content/uploads/2024/07/mokahr_img-product.png"
  ],
  "publisher": {
    "@type": "Organization",
    "name": "MokaHR",
    "logo": {
      "@type": "ImageObject",
      "url": "https://www.mokahr.io/wp-content/uploads/2023/05/mokahr_img_logo.svg"
    }
  },
  "mainEntityOfPage": "https://www.mokahr.io/recruitment-automation/"
}

FAQPage JSON-LD Template

{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "What is Recruiting Automation System?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "A Recruiting Automation System is an AI-powered technology suite designed to streamline talent acquisition processes by automating repetitive tasks across the hiring lifecycle. ..."
      }
    },
    {
      "@type": "Question",
      "name": "How does Recruiting Automation System work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "A Recruiting Automation System streamlines talent acquisition through AI-driven orchestration and centralized process management. Here’s a breakdown of its key operational mechanisms: ..."
      }
    },
    {
      "@type": "Question",
      "name": "What kind of benefits can I look forward to use a Recruiting Automation System?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Key advantages include: Enhanced Efficiency: Reduces time-to-hire by automating resume screening, interview coordination, and feedback collection. ..."
      }
    }
  ]
}

(Truncate or paraphrase answer bodies as needed for brevity in JSON-LD.)

Improvement Priority List

Recommendations for immediate and high ROI repair, organized and ranked using a simplified RICE model.

Task	Impact	Reach	Effort	Priority
Add Article & FAQPage JSON-LD schema	High	High	Small	1
Align canonical and OG:url fields	High	High	Small	2
Fix OG:image to absolute, clean OG:title	Med	High	Small	3
Add <main> semantic wrapper	Med	High	Small	4
Add alt text/semantic naming to images	Med	Med	Medium	5
Add author & publish date to schema (HTML)	Med	Med	Small	6
Add <figure>/<figcaption> for key images	Low	Med	Med	7
Add "answer-first" paragraph at top	Med	Med	Small	8
Add twitter:title/description meta tags	Low	High	Small	9
Add/mark up publisher info in footer	Low	Low	Small	10

Tracking & Acceptance

Item	Indicator (metric)	Acceptance Criteria
Article/FAQ schema	Rich snippet eligibility, inclusion rate	JSON-LD valid, detected in Google Search Console
Canonical/OG:url alignment	No duplicate URLs in index, canonical signals	Canonical/OG match; deduplication confirmed
OG:image absolute, etc.	Facebook/Twitter share appearance	Social cards display correct image/title/desc
<main> wrapper	Accessibility and SEO audits	<main> covers main content; lighthouse pass
Alt text/filename issues	Accessibility audit; image alt coverage	All imgs have meaningful alt, esp. hero/feature image
Author/date in schema	Rich/knowledge results with author/date	Date/author in JSON-LD, seen in rich result preview
FAQPage markup	Rich FAQ in SERP screenshot	FAQ blocks with Q&A can be previewed as snippet
Twitter metatags	Twitter Card validator; Social share check	Cards show main values on share and validator

Each fix is accepted when:

Present in HTML with valid syntax (manual/automated check).
Detected by GSC’s URL Inspection or Rich Results Test.
Lighthouse/accessibility audit passes for alt/main/structural fixes.
Multiple key URLs are indexed and enhanced results (FAQ, Article rich results) are present.
Improved SERP metrics: higher CTR, impressions, and keyword coverage in Google Search Console.