Analytics
Recruitment Analytics and Reporting Software Technical AEO/SEO Audit – Moka ATS

Recruitment Analytics and Reporting Software Technical AEO/SEO Audit – Moka ATS

Abstract

This report provides an in-depth, technical AEO/SEO audit of the Moka ATS Recruitment Analytics and Reporting Software page (https://www.mokahr.io/recruitment-analytics-reporting/). The evaluation identifies critical semantic, accessibility, and structured data gaps, including the absence of Article/FAQ schema, semantic landmark usage, image accessibility, and meta information optimizations. Recommendations are aligned with industry best practices to maximize visibility, eligibility for rich results, E-E-A-T signaling, crawl efficiency, and user accessibility. Concrete code examples for remediation, a RICE-prioritized improvement plan, measurable tracking indicators, and acceptance criteria are presented based on current page markup and content. All original data and findings from live page markup inspection (as of July 2025) are preserved in this audit.

Overview

  • Overall Page Score: 79/100

Top 5 Priority Issues

  1. Missing JSON-LD Article Structured Data
    Impact: Limits eligibility for rich results and reduces semantic clarity for search engines.
    Benefit: Adding will improve indexability, eligibility for rich snippets (Article, FAQ), and enhance E-E-A-T signals.
  2. No <main> / <article> Semantic Tag for Main Content
    Impact: Hinders accessible, semantic structure parsing by search engines and assistive tech.
    Benefit: Improves crawl focus and content extraction.
  3. Image alt texts are mostly empty/descriptive for decorations, but key screenshots lack meaningful alt attributes
    Impact: Accessibility and SEO signals are weakened.
    Benefit: Enhanced image SEO and better support for users with assistive tools.
  4. No use of <figure>/<figcaption> for key product or testimonial images
    Impact: Loss of explicit relationships between critical visuals and their captions in markup.
    Benefit: Gains in semantic richness and possible SERP enhancements.
  5. No explicit publisher entity in any structured markup
    Impact: Missed E-E-A-T publisher reinforcement for Google News/Discover.
    Benefit: Adding publisher info improves perceived trust/authority.
  • Page Type Judgment:
    Article (marketing-feature, product-focused with FAQs and structured informational content)—but no explicit <article> tag or schema detected. Determined from static FAQ, answer-depth, and conversion-oriented narrative.

1. Crawlability & Basic Structure

  • Section Score: 15/20
  • Conclusion: Needs Improvement

Findings & Evidence

  • Main Semantics:
    • Locator: body > div.pc > div.controller (for main content)
    • No <main> or <article> enclosing main content, only nested <div>s.
  • Heading Hierarchy:
    • Unique <h1 class="sr-only"> present.
    • Sample: <h1 class="sr-only">Accelerate Hiring with Real-Time Recruitment Analytics</h1>
    • Further <h2>s and subheadings are mostly "screen reader only".
  • Language Attribute: <html lang="en-GB" ...> – correctly set.
  • Indexing Control:
    • <meta name="robots" content="index, follow, max-image-preview:large, max-snippet:-1, max-video-preview:-1"> – correctly allows search indexing.
  • Canonical Link:
    • <link rel="canonical" href="https://www.mokahr.io/recruitment-analytics-reporting/"> – unique and correct.

Impact & Risk: Missing semantic landmark tags (<main>/<article>) may reduce crawl/extract efficiency for search engines and assistive tech. Headings are logically structured but visibility is restricted to assistive tech.

Repair Recommendations

  1. Add <main> tag wrapping the site's main controller block for semantic clarity.
  2. Where appropriate, use <article> around main content.
  3. Surface key headings for all users, not just as sr-only.
  4. Maintain correct language, robots meta, and canonical link.
<main>
  <!-- Entire .controller main content goes here -->
</main>

2. Title & Meta Information

  • Section Score: 18/20
  • Conclusion: Pass

Findings & Evidence

  • <title> unique, relevant, 51 characters:
    <title>Recruitment Analytics and Reporting Software | Moka ATS</title>
  • <meta name="description"> present:
    <meta name="description" content="MokaHR’s recruitment analytics provides end to end data coverage and ready-to-use templates for fast report generation and visibility into hiring delays, while email alerts on key metrics keep teams aligned.">
  • Open Graph and Twitter Cards present and match content. og:image is currently relative.

Impact & Risk: Meta description slightly long for ideal SERP, but excellent social meta coverage.

Repair Recommendations

  1. Shorten meta description to ≤160 characters for optimal snippet display.
  2. Convert og:image to an absolute URL.
<meta name="description" content="MokaHR’s recruitment analytics delivers complete hiring data coverage, fast report generation, and instant team alerts to prevent delays.">

3. Content Quality & Layout (Answer Priority)

  • Section Score: 16/20
  • Conclusion: Pass

Findings & Evidence

  • Answer First: Immediate headline and summary:
    • <h1 class="sr-only">Accelerate Hiring with Real-Time Recruitment Analytics</h1>
    • Opening leads with clear value, supported by substantive statistic claims ("cut reporting time by 67%...our time-to-hire is down by 12%").
  • Clear Structure: Logical class-based grouping and logical heading depth used; most headers not visually surfaced.
  • Originality & Depth: Unique claims, testimonials, domain-specific FAQ.
  • Keywords: Core terms used strategically; not overstuffed.

Impact & Risk: Strong topical focus aids high-rank potential; well-structured FAQs and testimonials boost E-E-A-T.

Repair Recommendations

  1. Add visible (not just sr-only) headings to benefit all users and search parsers.
  2. Consider an explicit answer summary block at top for Featured Snippet eligibility.

4. Images & Media

  • Section Score: 12/20
  • Conclusion: Needs Improvement

Findings & Evidence

  • Most interface/icon images use empty alt attributes; product images, screenshots, and testimonials are often missing meaningful alt text.
  • Product/feature images use semantic filenames (e.g., section2_item1.png).
  • No <figure>/<figcaption> for screenshots/testimonials; captions are only visually adjacent.

Impact & Risk: Lack of semantic image markup restricts accessibility and image SEO.

Repair Recommendations

  1. Add descriptive alt attributes to all product/feature images and testimonials.
  2. Wrap key images and their captions in <figure>/<figcaption>.
  3. Retain empty alt for decorative icons.
<figure>
  <img src="/wp-content/2025/recruitment/analytics/section4_head1.png" alt="Testimonial - Jamie, HR Manager, comments on improved time-to-hire">
  <figcaption>“We’ve cut reporting time by 67%...” – Jamie, HR Manager</figcaption>
</figure>

5. Structured Data (Schema)

  • Section Score: 8/20
  • Conclusion: Critical Issue

Findings & Evidence

  • No JSON-LD, Microdata, or RDFa found in markup.
  • Open Graph/Twitter social meta is present; this does not substitute for structured Article/FAQ schema.
  • No FAQPage/HowTo schema implemented, despite high-quality, static FAQ content.
  • Publisher entity missing from all markup.

Impact & Risk: Loss of rich snippet eligibility (News/Blog/Article/FAQ), and missed E-E-A-T signals.

Repair Recommendations

  1. Add JSON-LD Article or BlogPosting schema with key fields.
  2. Add FAQPage JSON-LD, mapping the five featured FAQ Q&A pairs.
  3. Include clear publisher entity (e.g., "MokaHR" or "ALPHASTAR TECHNOLOGY").

Structured Data Implementation Example:

{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "Recruitment Analytics and Reporting Software | Moka ATS",
  "author": { "@type": "Organization", "name": "MokaHR Team" },
  "datePublished": "[YYYY-MM-DD]",
  "dateModified": "[YYYY-MM-DD]",
  "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-analytics-reporting/"
}

Supplementary: Structured Data FAQPage

Sample JSON-LD for mapped FAQ:

{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "What is Recruitment Analytics and why is it essential for modern talent acquisition?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Recruitment analytics is the practice of collecting and analyzing hiring data ... within six months of implementing recruitment analytics."
      }
    },
    {
      "@type": "Question",
      "name": "What are the most important recruitment metrics every HR team should track?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Core recruitment metrics include time-to-hire, cost-per-hire ... make tracking and acting on these metrics easier and faster."
      }
    },
    {
      "@type": "Question",
      "name": "How do Time-to-Hire Metrics Tracking and HR Analytics improve recruitment efficiency?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Time-to-hire metrics measure how quickly candidates move through the recruitment pipeline ... improved candidate experiences."
      }
    },
    {
      "@type": "Question",
      "name": "How can Cost-per-Hire Analysis drive smarter recruitment budget management?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Cost-per-hire analysis tracks the total investment required to recruit a new employee ... cost-per-hire reports."
      }
    },
    {
      "@type": "Question",
      "name": "How do Analytics and Reporting help continuously improve overall recruitment performance?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Comprehensive analytics and reporting empower HR teams ... and candidate satisfaction."
      }
    }
  ]
}

Improvement Priority List (RICE Model)

Task Impact Reach Effort Priority
Add Article & FAQPage JSON-LD structured data (Article + FAQ schema) High High Small 1
Add a semantic <main> tag around principal content area High High Small 2
Enrich alt attributes for all key illustrations/testimonials High Medium Small 3
Wrap critical product/feature images in <figure>/<figcaption> Med Medium Small 4
Shorten <meta name="description"> to ≤160 chars Med High Small 5
Make select visible (not just sr-only) headings for major sections Med Med Small 6
Add/publish author and publish/modified date in page content Med Med Small 7
Convert og:image from relative to absolute URL Med High Small 8

Tracking, Quantitative Indicators & Acceptance Criteria

Quantifiable Indicators

  • Inclusion of Article/FAQPage structured data (verified via testing tools)
  • Impressions, clicks, and CTR on article/FAQ searches
  • Indexing and sitelinks for "Recruitment Analytics and Reporting Software"
  • Improved SERP ranking for targeted head terms post-fix
  • ALT attribute and semantic <figure> presence in HTML source

Acceptance Criteria

  • [ ] [GSC/Testing tool] detects structured data with zero critical errors
  • [ ] <main> tag present wrapping main content in HTML
  • [ ] All primary/feature images have descriptive alt text
  • [ ] FAQ Rich Snippet appears in Google SERP for relevant queries (post-crawl)
  • [ ] <meta name="description"> is ≤160 chars, not truncated under test
  • [ ] At least one visible heading per section accessible to all users (not just sr-only)
  • [ ] Publish and last modified date/author visible in HTML and in schema

Conclusion

The page is crawlable and fundamentally sound in technical SEO due to appropriate meta, OG/Twitter card coverage, correct canonicalization, and index control. However, major shortcomings include missing Article and FAQ structured schema, absence of semantic content landmark tags (<main>, <article>), and incomplete image accessibility markup (alt text, <figure>/<figcaption>). All issues identified are easily repairable, with minimal engineering effort and a high impact expected on the page's indexation, search snippet eligibility, and ranking resilience. Implementing the prioritized recommendations in this report will close all major AEO/SEO technical gaps, enhancing both organic discovery and user accessibility.

Improvement Priority Chart

End of AEO/SEO Technical Audit — Recruitment Analytics and Reporting Software | Moka ATS