{"id":10321,"date":"2026-01-21T10:03:31","date_gmt":"2026-01-21T10:03:31","guid":{"rendered":"https:\/\/vettio.com\/blog\/?p=10321"},"modified":"2026-01-21T10:03:34","modified_gmt":"2026-01-21T10:03:34","slug":"ai-match-explained","status":"publish","type":"post","link":"https:\/\/vettio.com\/blog\/ai-match-explained\/","title":{"rendered":"AI Match Explained: How Algorithms Pair Talent With Jobs"},"content":{"rendered":"\n<div class=\"wp-block-group is-nowrap is-layout-flex wp-container-core-group-is-layout-1 wp-block-group-is-layout-flex\">\n<p class=\"has-large-font-size\"><strong>TL;DR<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Understands experience context rather than just scanning keywords.<\/li>\n\n\n\n<li>Reduces time-to-hire by automating the heavy lifting of initial screenings.<\/li>\n\n\n\n<li>Focuses on objective data points and skills rather than subjective human factors.<\/li>\n\n\n\n<li>The more data it processes, the smarter the matching becomes over time.<\/li>\n<\/ul>\n<\/div>\n\n\n\n<p>Finding the right person can feel overwhelming when you are sorting through endless online resumes and shifting role needs. AI match technology helps cut through that noise by connecting open positions with candidates who are a closer fit from the start.<\/p>\n\n\n\n<p>To solve this, organizations are turning to the AI match, a sophisticated system that uses machine learning to analyze the deep context of a candidate&#8217;s profile. With AI candidate matching in place, companies can sort applicants based on how well their skills line up with the role. Instead of slow manual reviews, the strongest candidates rise to the top much faster.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>What Is AI Matching in Recruitment?<\/strong><\/h2>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"2560\" height=\"1280\" src=\"https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19160841\/AIM1-scaled.jpg\" alt=\"AI Matching in Recruitment\" class=\"wp-image-10351\" srcset=\"https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19160841\/AIM1-scaled.jpg 2560w, https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19160841\/AIM1-300x150.jpg 300w, https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19160841\/AIM1-1024x512.jpg 1024w, https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19160841\/AIM1-768x384.jpg 768w, https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19160841\/AIM1-1536x768.jpg 1536w, https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19160841\/AIM1-2048x1024.jpg 2048w\" sizes=\"auto, (max-width: 2560px) 100vw, 2560px\" \/><\/figure>\n\n\n\n<p>In hiring, an AI match goes beyond simple keyword searches. It looks at resumes and job details in a way that feels closer to how a person would read them, just much faster. By picking up on role needs like skills, experience level, and industry background, an AI match helps connect the right people to the right jobs.<\/p>\n\n\n\n<p>Unlike older systems, this technology considers the relationships between data points. For example, it understands that a &#8220;Product Growth Manager&#8221; and a &#8220;User Acquisition Lead&#8221; often share the same core skill sets, even if their titles differ. This level of talent matching allows recruiters to see the full picture of a candidate&#8217;s capabilities. It reaches beyond what is explicitly written on a single page.<\/p>\n\n\n\n<!-- =========================================================\nWIDGET 1: Human vs AI Match Challenge\nHeading: What Is AI Matching in Recruitment\n========================================================= -->\n<div class=\"aim1-wrap\" id=\"aimHumanVsAi\">\n  <h3>Human vs AI Match Challenge<\/h3>\n  <div class=\"aim1-sub\">Pick the best candidate. Then see who AI ranks first.<\/div>\n\n  <div class=\"aim1-grid\">\n    <div class=\"aim1-card\">\n      <div class=\"aim1-badge\">Job<\/div>\n      <div class=\"aim1-title\">Growth Manager<\/div>\n      <ul class=\"aim1-list\">\n        <li>Own paid acquisition and funnels<\/li>\n        <li>Run experiments and report results<\/li>\n        <li>Partner with product and analytics<\/li>\n        <li>Bonus: B2B SaaS experience<\/li>\n      <\/ul>\n    <\/div>\n\n    <div class=\"aim1-card aim1-pick\">\n      <div class=\"aim1-badge orange\">Candidates<\/div>\n\n      <button type=\"button\" class=\"aim1-choice\" data-pick=\"A\" aria-pressed=\"false\">\n        <span class=\"aim1-letter\">A<\/span>\n        <span class=\"aim1-text\">\n          Paid media specialist. 5 years. Strong Google Ads. Mentions funnels but mostly execution.\n        <\/span>\n      <\/button>\n\n      <button type=\"button\" class=\"aim1-choice\" data-pick=\"B\" aria-pressed=\"false\">\n        <span class=\"aim1-letter\">B<\/span>\n        <span class=\"aim1-text\">\n          Product growth lead. Ran A B tests weekly. Built dashboards. Improved activation by 18 percent.\n        <\/span>\n      <\/button>\n\n      <button type=\"button\" class=\"aim1-choice\" data-pick=\"C\" aria-pressed=\"false\">\n        <span class=\"aim1-letter\">C<\/span>\n        <span class=\"aim1-text\">\n          Sales ops analyst. Great reporting. Light marketing experience. Strong stakeholder skills.\n        <\/span>\n      <\/button>\n\n      <div class=\"aim1-actions\">\n        <button type=\"button\" class=\"aim1-reveal\">Reveal AI ranking<\/button>\n        <button type=\"button\" class=\"aim1-reset ghost\">Reset<\/button>\n      <\/div>\n\n      <div class=\"aim1-result\" hidden aria-live=\"polite\">\n        <div class=\"aim1-resultTop\">\n          <span class=\"aim1-chip\">AI pick<\/span>\n          <span class=\"aim1-aiPick\" data-aiPick><\/span>\n        <\/div>\n        <div class=\"aim1-why\" data-why><\/div>\n        <div class=\"aim1-scoreRow\">\n          <div class=\"aim1-scoreBox\">\n            <div class=\"aim1-k\">Your pick<\/div>\n            <div class=\"aim1-v\" data-userPick>None<\/div>\n          <\/div>\n          <div class=\"aim1-scoreBox\">\n            <div class=\"aim1-k\">Match quality<\/div>\n            <div class=\"aim1-v\" data-matchQuality>Pick first<\/div>\n          <\/div>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/div>\n\n<style>\n  .aim1-wrap{\n    max-width:100%;\n    background:#000;\n    color:#fff;\n    padding:24px;\n    border-radius:18px;\n    border:1px solid rgba(172,128,255,0.35);\n    overflow:hidden;\n  }\n  .aim1-wrap h3{\n    margin:0 0 10px 0;\n    text-align:center;\n    color:#ac80ff;\n    font-size:26px;\n    line-height:1.2;\n  }\n  .aim1-sub{\n    text-align:center;\n    color:rgba(255,255,255,0.84);\n    font-size:13px;\n    font-weight:800;\n    margin-bottom:16px;\n  }\n  .aim1-grid{\n    display:grid;\n    grid-template-columns:minmax(0,1fr) minmax(0,1fr);\n    gap:12px;\n    align-items:stretch;\n  }\n  .aim1-card{\n    background:#070707;\n    border:1px solid rgba(255,165,0,0.22);\n    border-radius:16px;\n    padding:14px;\n  }\n  .aim1-badge{\n    display:inline-block;\n    padding:7px 10px;\n    border-radius:999px;\n    background:#ac80ff;\n    color:#000;\n    font-weight:900;\n    font-size:12px;\n    margin-bottom:10px;\n  }\n  .aim1-badge.orange{ background:orange; 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}\n  }\n<\/style>\n\n<script>\n(function(){\n  const root = document.getElementById('aimHumanVsAi');\n  if(!root) return;\n\n  const choices = Array.from(root.querySelectorAll('.aim1-choice'));\n  const revealBtn = root.querySelector('.aim1-reveal');\n  const resetBtn = root.querySelector('.aim1-reset');\n  const result = root.querySelector('.aim1-result');\n\n  const aiPickEl = root.querySelector('[data-aiPick]');\n  const whyEl = root.querySelector('[data-why]');\n  const userPickEl = root.querySelector('[data-userPick]');\n  const qualityEl = root.querySelector('[data-matchQuality]');\n\n  let userPick = null;\n\n  const aiPick = \"B\";\n  const whyText = \"AI favors B because the resume shows experiments, measurable lift, and cross team work. That is closer to the job than pure ad execution.\";\n\n  function setPick(p){\n    userPick = p;\n    choices.forEach(btn=>{\n      const isOn = btn.getAttribute('data-pick') === p;\n      btn.setAttribute('aria-pressed', isOn ? 'true' : 'false');\n    });\n    userPickEl.textContent = p || \"None\";\n  }\n\n  function reveal(){\n    result.hidden = false;\n    aiPickEl.textContent = aiPick;\n\n    if(!userPick){\n      whyEl.textContent = \"Pick a candidate first. Then reveal the AI ranking.\";\n      qualityEl.textContent = \"Pick first\";\n      return;\n    }\n\n    whyEl.textContent = whyText;\n\n    if(userPick === aiPick){\n      qualityEl.textContent = \"Strong match\";\n    } else if(userPick === \"A\"){\n      qualityEl.textContent = \"Close but missing depth\";\n    } else {\n      qualityEl.textContent = \"Weak match\";\n    }\n  }\n\n  function reset(){\n    setPick(null);\n    result.hidden = true;\n    aiPickEl.textContent = \"\";\n    whyEl.textContent = \"\";\n    qualityEl.textContent = \"Pick first\";\n  }\n\n  choices.forEach(btn=>{\n    btn.addEventListener('click', ()=> setPick(btn.getAttribute('data-pick')));\n  });\n\n  revealBtn.addEventListener('click', reveal);\n  resetBtn.addEventListener('click', reset);\n\n  reset();\n})();\n<\/script>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Why Keyword Matching No Longer Works<\/strong><\/h2>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"2560\" height=\"1280\" src=\"https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19160915\/AIM2-scaled.jpg\" alt=\"cluttered vs structured resume\" class=\"wp-image-10352\" srcset=\"https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19160915\/AIM2-scaled.jpg 2560w, https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19160915\/AIM2-300x150.jpg 300w, https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19160915\/AIM2-1024x512.jpg 1024w, https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19160915\/AIM2-768x384.jpg 768w, https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19160915\/AIM2-1536x768.jpg 1536w, https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19160915\/AIM2-2048x1024.jpg 2048w\" sizes=\"auto, (max-width: 2560px) 100vw, 2560px\" \/><\/figure>\n\n\n\n<p>Hiring tools used to work by matching exact words. If Python were in the job post, the system would only check if Python showed up on the resume. That meant good candidates could be missed, while others added keywords even if they lacked real experience.<\/p>\n\n\n\n<p>Keyword matching is binary; it\u2019s either there or it isn&#8217;t. It doesn&#8217;t account for the <em>recency<\/em> of a skill, the <em>depth<\/em> of the projects, or the <em>industry context<\/em>. As a result, <a href=\"https:\/\/www.smartrecruiters.com\/resources\/article\/recruitment-statistics-for-2025\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">22% of business leaders<\/a> still struggle to source high-quality talent despite having modern databases. AI solves this by looking at &#8220;semantic&#8221; meaning, which is why the AI matching algorithm is now the gold standard for modern HR teams.<\/p>\n\n\n\n<!-- =========================================================\nWIDGET 2: Keyword Trap Game\nHeading: Why Keyword Matching No Longer Works\n========================================================= -->\n<div class=\"aim2-wrap\" id=\"aimKeywordTrap\">\n  <h3>The Keyword Trap<\/h3>\n  <div class=\"aim2-sub\">Choose the resume an old ATS would pick. Then see why it fails.<\/div>\n\n  <div class=\"aim2-grid\">\n    <div class=\"aim2-card\">\n      <div class=\"aim2-badge orange\">Resume 1<\/div>\n      <div class=\"aim2-title\">Keyword Stuffed<\/div>\n      <ul class=\"aim2-list\">\n        <li>Python Python Python<\/li>\n        <li>SQL SQL SQL<\/li>\n        <li>Machine learning<\/li>\n        <li>Dashboards<\/li>\n        <li>Led projects<\/li>\n      <\/ul>\n      <button type=\"button\" class=\"aim2-pick\" data-pick=\"atsR1\">ATS picks this<\/button>\n    <\/div>\n\n    <div class=\"aim2-card\">\n      <div class=\"aim2-badge\">Resume 2<\/div>\n      <div class=\"aim2-title\">Context Rich<\/div>\n      <ul class=\"aim2-list\">\n        <li>Built churn model that cut cancellations by 9 percent<\/li>\n        <li>Created automated reporting for sales and support<\/li>\n        <li>Used scripting and databases daily<\/li>\n        <li>Owned experiments and insights<\/li>\n      <\/ul>\n      <button type=\"button\" class=\"aim2-pick\" data-pick=\"atsR2\">ATS might miss this<\/button>\n    <\/div>\n  <\/div>\n\n  <div class=\"aim2-actions\">\n    <button type=\"button\" class=\"aim2-reveal\">Reveal the trap<\/button>\n    <button type=\"button\" class=\"aim2-reset ghost\">Reset<\/button>\n  <\/div>\n\n  <div class=\"aim2-result\" hidden aria-live=\"polite\">\n    <div class=\"aim2-row\">\n      <span class=\"aim2-chip\">Old ATS<\/span>\n      <span class=\"aim2-big\" data-atsPick>Pick first<\/span>\n    <\/div>\n    <div class=\"aim2-row\">\n      <span class=\"aim2-chip orange\">AI match<\/span>\n      <span class=\"aim2-big\" data-aiPick>Resume 2<\/span>\n    <\/div>\n    <div class=\"aim2-why\" data-why><\/div>\n  <\/div>\n<\/div>\n\n<style>\n  .aim2-wrap{\n    max-width:100%;\n    background:#000;\n    color:#fff;\n    padding:24px;\n    border-radius:18px;\n    border:1px solid rgba(172,128,255,0.35);\n    overflow:hidden;\n  }\n  .aim2-wrap h3{\n    margin:0 0 10px 0;\n    text-align:center;\n    color:#ac80ff;\n    font-size:26px;\n    line-height:1.2;\n  }\n  .aim2-sub{\n    text-align:center;\n    color:rgba(255,255,255,0.84);\n    font-size:13px;\n    font-weight:800;\n    margin-bottom:16px;\n  }\n  .aim2-grid{\n    display:grid;\n    grid-template-columns:minmax(0,1fr) minmax(0,1fr);\n    gap:12px;\n  }\n  .aim2-card{\n    background:#070707;\n    border:1px solid rgba(255,165,0,0.22);\n    border-radius:16px;\n    padding:14px;\n  }\n  .aim2-badge{\n    display:inline-block;\n    padding:7px 10px;\n    border-radius:999px;\n    background:#ac80ff;\n    color:#000;\n    font-weight:900;\n    font-size:12px;\n    margin-bottom:10px;\n  }\n  .aim2-badge.orange{ background:orange; 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AI matching rewards proof of impact and real work context.\";\n      return;\n    }\n\n    if(pick === \"atsR1\"){\n      atsPickEl.textContent = \"Resume 1\";\n      whyEl.textContent = \"Old ATS sees the exact keywords and says yes. AI sees thin context, vague work, and no measurable outcomes.\";\n      return;\n    }\n\n    atsPickEl.textContent = \"Resume 1\";\n    whyEl.textContent = \"Even if you picked Resume 2, old ATS often still ranks Resume 1 higher because it matches exact words. AI picks Resume 2 because it shows real outcomes.\";\n  }\n\n  function reset(){\n    setPick(null);\n    result.hidden = true;\n    atsPickEl.textContent = \"Pick first\";\n    aiPickEl.textContent = \"Resume 2\";\n    whyEl.textContent = \"\";\n  }\n\n  pickBtns.forEach(b=> b.addEventListener('click', ()=> setPick(b.getAttribute('data-pick'))));\n  revealBtn.addEventListener('click', reveal);\n  resetBtn.addEventListener('click', reset);\n\n  reset();\n})();\n<\/script>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>How AI Algorithms Pair Talent With Jobs<\/strong><\/h2>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"2560\" height=\"1280\" src=\"https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19160952\/AIM3-scaled.jpg\" alt=\"AI Algorithms in Recruitment\" class=\"wp-image-10353\" srcset=\"https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19160952\/AIM3-scaled.jpg 2560w, https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19160952\/AIM3-300x150.jpg 300w, https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19160952\/AIM3-1024x512.jpg 1024w, https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19160952\/AIM3-768x384.jpg 768w, https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19160952\/AIM3-1536x768.jpg 1536w, https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19160952\/AIM3-2048x1024.jpg 2048w\" sizes=\"auto, (max-width: 2560px) 100vw, 2560px\" \/><\/figure>\n\n\n\n<p>The magic happens within the AI matching backend. Instead of just looking for words, the matching in the AI process creates a multi-dimensional &#8220;map&#8221; of both the job and the candidate.<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Parsing &amp; Enrichment:<\/strong> The AI breaks down a resume into structured data. It doesn&#8217;t just see &#8220;Management&#8221;; it sees &#8220;led a team of 10 in a fast-paced SaaS environment.&#8221;<\/li>\n\n\n\n<li><strong>Vectorization:<\/strong> It converts these attributes into mathematical vectors. In this digital space, similar skills and experiences sit close together.<\/li>\n\n\n\n<li><strong>Scoring:<\/strong> The data matching machine learning model calculates the &#8220;distance&#8221; between the job&#8217;s needs and the candidate&#8217;s profile.<\/li>\n\n\n\n<li><strong>Ranking:<\/strong> It generates a compatibility score, allowing for recruiter candidate matching that is prioritized by actual fit rather than the date the application was submitted.<\/li>\n<\/ol>\n\n\n\n<!-- =========================================================\nWIDGET 3: Match Engine Simulator\nHeading: How AI Algorithms Pair Talent With Jobs\n========================================================= -->\n<div class=\"aim3-wrap\" id=\"aimMatchEngine\">\n  <h3>Match Engine Simulator<\/h3>\n  <div class=\"aim3-sub\">Move the sliders. Watch the match score change.<\/div>\n\n  <div class=\"aim3-grid\">\n    <div class=\"aim3-controls\">\n      <div class=\"aim3-row\">\n        <div class=\"aim3-lab\">Skill overlap<\/div>\n        <div class=\"aim3-num\"><span data-s1>70<\/span>%<\/div>\n      <\/div>\n      <input class=\"aim3-range\" type=\"range\" min=\"0\" max=\"100\" value=\"70\" data-r=\"s1\">\n\n      <div class=\"aim3-row\">\n        <div class=\"aim3-lab\">Experience depth<\/div>\n        <div class=\"aim3-num\"><span data-s2>55<\/span>%<\/div>\n      <\/div>\n      <input class=\"aim3-range\" type=\"range\" min=\"0\" max=\"100\" value=\"55\" data-r=\"s2\">\n\n      <div class=\"aim3-row\">\n        <div class=\"aim3-lab\">Industry relevance<\/div>\n        <div class=\"aim3-num\"><span data-s3>50<\/span>%<\/div>\n      <\/div>\n      <input class=\"aim3-range\" type=\"range\" min=\"0\" max=\"100\" value=\"50\" data-r=\"s3\">\n\n      <div class=\"aim3-row\">\n        <div class=\"aim3-lab\">Growth trajectory<\/div>\n        <div class=\"aim3-num\"><span data-s4>60<\/span>%<\/div>\n      <\/div>\n      <input class=\"aim3-range\" type=\"range\" min=\"0\" max=\"100\" value=\"60\" data-r=\"s4\">\n\n      <button type=\"button\" class=\"aim3-reset\">Reset<\/button>\n    <\/div>\n\n    <div class=\"aim3-panel\" aria-live=\"polite\">\n      <div class=\"aim3-badge\">Match score<\/div>\n      <div class=\"aim3-score\"><span data-score>67<\/span>\/100<\/div>\n      <div class=\"aim3-bar\"><div class=\"aim3-fill\" data-fill><\/div><\/div>\n\n      <div class=\"aim3-tag\" data-tag>Strong shortlist<\/div>\n      <div class=\"aim3-mini\" data-mini>\n        This score rises when context signals align, not just when one keyword appears.\n      <\/div>\n\n      <div class=\"aim3-miniGrid\">\n        <div class=\"aim3-card\">\n          <div class=\"aim3-k\">Parsing<\/div>\n          <div class=\"aim3-v\">Turn text into signals<\/div>\n        <\/div>\n        <div class=\"aim3-card\">\n          <div class=\"aim3-k\">Vectors<\/div>\n          <div class=\"aim3-v\">Place skills in a map<\/div>\n        <\/div>\n        <div class=\"aim3-card\">\n          <div class=\"aim3-k\">Ranking<\/div>\n          <div class=\"aim3-v\">Sort by closeness<\/div>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/div>\n\n<style>\n  .aim3-wrap{\n    max-width:100%;\n    background:#000;\n    color:#fff;\n    padding:24px;\n    border-radius:18px;\n    border:1px solid rgba(172,128,255,0.35);\n    overflow:hidden;\n  }\n  .aim3-wrap h3{\n    margin:0 0 10px 0;\n    text-align:center;\n    color:#ac80ff;\n    font-size:26px;\n    line-height:1.2;\n  }\n  .aim3-sub{\n    text-align:center;\n    color:rgba(255,255,255,0.84);\n    font-size:13px;\n    font-weight:800;\n    margin-bottom:16px;\n  }\n  .aim3-grid{\n    display:grid;\n    grid-template-columns:minmax(0,1fr) minmax(0,1fr);\n    gap:12px;\n    align-items:stretch;\n  }\n  .aim3-controls{\n    background:#070707;\n    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const s1 = root.querySelector('[data-s1]');\n  const s2 = root.querySelector('[data-s2]');\n  const s3 = root.querySelector('[data-s3]');\n  const s4 = root.querySelector('[data-s4]');\n\n  const defaults = { s1:70, s2:55, s3:50, s4:60 };\n\n  function getVal(key){\n    const el = root.querySelector('[data-r=\"'+key+'\"]');\n    return parseInt(el.value,10);\n  }\n\n  function setVal(key, v){\n    const el = root.querySelector('[data-r=\"'+key+'\"]');\n    el.value = String(v);\n  }\n\n  function render(){\n    const v1 = getVal('s1');\n    const v2 = getVal('s2');\n    const v3 = getVal('s3');\n    const v4 = getVal('s4');\n\n    s1.textContent = String(v1);\n    s2.textContent = String(v2);\n    s3.textContent = String(v3);\n    s4.textContent = String(v4);\n\n    \/\/ Weighted score\n    const score = Math.round((v1*0.35) + (v2*0.30) + (v3*0.20) + (v4*0.15));\n    scoreEl.textContent = String(score);\n    fillEl.style.width = score + \"%\";\n\n    if(score >= 75){\n      tagEl.textContent = \"Top match\";\n      miniEl.textContent = \"This profile feels close in skills and proof. It should surface early.\";\n      return;\n    }\n    if(score >= 55){\n      tagEl.textContent = \"Strong shortlist\";\n      miniEl.textContent = \"Good fit signals. A recruiter can confirm gaps fast.\";\n      return;\n    }\n    tagEl.textContent = \"Needs review\";\n    miniEl.textContent = \"Low match score. Either missing signals or the role is not aligned.\";\n  }\n\n  ranges.forEach(r=> r.addEventListener('input', render));\n\n  resetBtn.addEventListener('click', ()=>{\n    setVal('s1', defaults.s1);\n    setVal('s2', defaults.s2);\n    setVal('s3', defaults.s3);\n    setVal('s4', defaults.s4);\n    render();\n  });\n\n  render();\n})();\n<\/script>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>AI Matching vs Traditional Matching<\/strong><\/h2>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"2560\" height=\"1280\" src=\"https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19161019\/AIM4-scaled.jpg\" alt=\"AI Matching vs Traditional Matching\" class=\"wp-image-10354\" srcset=\"https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19161019\/AIM4-scaled.jpg 2560w, https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19161019\/AIM4-300x150.jpg 300w, https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19161019\/AIM4-1024x512.jpg 1024w, https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19161019\/AIM4-768x384.jpg 768w, https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19161019\/AIM4-1536x768.jpg 1536w, https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19161019\/AIM4-2048x1024.jpg 2048w\" sizes=\"auto, (max-width: 2560px) 100vw, 2560px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong>Feature<\/strong><\/td><td><strong>Traditional (ATS)<\/strong><\/td><td><strong>AI Matching<\/strong><\/td><\/tr><tr><td><strong>Logic<\/strong><\/td><td>Boolean (Yes\/No)<\/td><td>Probabilistic &amp; Contextual<\/td><\/tr><tr><td><strong>Skill Gap<\/strong><\/td><td>Rejects if the exact word is missing<\/td><td>Infers skills based on experience<\/td><\/tr><tr><td><strong>Bias<\/strong><\/td><td>Subject to human fatigue<\/td><td>Objective and data-driven<\/td><\/tr><tr><td><strong>Speed<\/strong><\/td><td>Manual review required<\/td><td>Instantaneous ranking<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<p>While traditional tools are essentially digital filing cabinets, professional AI matchmaker software acts as a digital advisor, highlighting why a specific person is a great fit.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>What Data AI Matching Uses (and Doesn\u2019t)<\/strong><\/h2>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"2560\" height=\"1280\" src=\"https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19161105\/AIM5-scaled.jpg\" alt=\"What AI Matching Filters\" class=\"wp-image-10355\" srcset=\"https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19161105\/AIM5-scaled.jpg 2560w, https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19161105\/AIM5-300x150.jpg 300w, https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19161105\/AIM5-1024x512.jpg 1024w, https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19161105\/AIM5-768x384.jpg 768w, https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19161105\/AIM5-1536x768.jpg 1536w, https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19161105\/AIM5-2048x1024.jpg 2048w\" sizes=\"auto, (max-width: 2560px) 100vw, 2560px\" \/><\/figure>\n\n\n\n<p>A strong AI match looks at patterns linked to real performance and not just keywords. This can include skills, work history, growth in past roles, and education. Some tools also use <a href=\"https:\/\/vettio.com\/blog\/ai-assisted-cognitive-testing\/\" target=\"_blank\" rel=\"noreferrer noopener\">AI-assisted cognitive testing<\/a> to check how people think and solve problems, helping teams see if someone fits both the role and the work environment.<\/p>\n\n\n\n<p>Importantly, ethical AI is designed <em>not<\/em> to use protected characteristics. By ignoring data like age, gender or zip code, the technology helps level the playing field. In fact, research shows that AI-driven hiring can improve workforce diversity <a href=\"https:\/\/hirebee.ai\/blog\/ai-in-hr-statistics\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">by up to 35%<\/a>.<\/p>\n\n\n\n<!-- =========================================================\nWIDGET 5: Safe or Not Safe Data Sorting Game\nHeading: What Data AI Matching Uses and Doesn\u2019t\n========================================================= -->\n<div class=\"aim5-wrap\" id=\"aimDataSorting\">\n  <h3>Safe or Not Safe Data Sorting<\/h3>\n  <div class=\"aim5-sub\">Tap each card to sort it into Used or Ignored.<\/div>\n\n  <div class=\"aim5-board\">\n    <div class=\"aim5-bin\">\n      <div class=\"aim5-binHead\">\n        <span class=\"aim5-pill\">Used by AI matching<\/span>\n        <span class=\"aim5-count\" data-usedCount>0<\/span>\n      <\/div>\n      <div class=\"aim5-binBody\" data-usedBin><\/div>\n    <\/div>\n\n    <div class=\"aim5-bin\">\n      <div class=\"aim5-binHead\">\n        <span class=\"aim5-pill orange\">Ignored for fairness<\/span>\n        <span class=\"aim5-count\" data-ignoredCount>0<\/span>\n      <\/div>\n      <div class=\"aim5-binBody\" data-ignoredBin><\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"aim5-deck\" data-deck aria-label=\"Data cards\">\n    <!-- Cards injected -->\n  <\/div>\n\n  <div class=\"aim5-actions\">\n    <button type=\"button\" class=\"aim5-check\">Check my sorting<\/button>\n    <button type=\"button\" class=\"aim5-reset ghost\">Reset<\/button>\n  <\/div>\n\n  <div class=\"aim5-result\" hidden aria-live=\"polite\">\n    <div class=\"aim5-badge\">Score<\/div>\n    <div class=\"aim5-score\"><span data-score>0<\/span>\/8<\/div>\n    <div class=\"aim5-msg\" data-msg><\/div>\n  <\/div>\n<\/div>\n\n<style>\n  .aim5-wrap{\n    max-width:100%;\n    background:#000;\n    color:#fff;\n    padding:24px;\n    border-radius:18px;\n    border:1px solid rgba(172,128,255,0.35);\n    overflow:hidden;\n  }\n  .aim5-wrap h3{\n    margin:0 0 10px 0;\n    text-align:center;\n    color:#ac80ff;\n    font-size:26px;\n    line-height:1.2;\n  }\n  .aim5-sub{\n    text-align:center;\n    color:rgba(255,255,255,0.84);\n    font-size:13px;\n    font-weight:800;\n    margin-bottom:16px;\n  }\n\n  .aim5-board{\n    display:grid;\n    grid-template-columns:minmax(0,1fr) minmax(0,1fr);\n    gap:12px;\n    margin-bottom:12px;\n  }\n  .aim5-bin{\n    background:#0b0b0b;\n    border:1px solid rgba(172,128,255,0.18);\n    border-radius:16px;\n    padding:14px;\n  }\n  .aim5-binHead{\n    display:flex;\n    align-items:center;\n    justify-content:space-between;\n    gap:10px;\n    margin-bottom:10px;\n  }\n  .aim5-pill{\n    display:inline-block;\n    padding:7px 10px;\n    border-radius:999px;\n    background:#ac80ff;\n    color:#000;\n    font-weight:900;\n    font-size:12px;\n  }\n  .aim5-pill.orange{ background:orange; 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}\n  }\n<\/style>\n\n<script>\n(function(){\n  const root = document.getElementById('aimDataSorting');\n  if(!root) return;\n\n  const deck = root.querySelector('[data-deck]');\n  const usedBin = root.querySelector('[data-usedBin]');\n  const ignoredBin = root.querySelector('[data-ignoredBin]');\n  const usedCount = root.querySelector('[data-usedCount]');\n  const ignoredCount = root.querySelector('[data-ignoredCount]');\n  const checkBtn = root.querySelector('.aim5-check');\n  const resetBtn = root.querySelector('.aim5-reset');\n  const result = root.querySelector('.aim5-result');\n  const scoreEl = root.querySelector('[data-score]');\n  const msgEl = root.querySelector('[data-msg]');\n\n  const cards = [\n    { id:\"skills\", label:\"Skills\", correct:\"used\" },\n    { id:\"work\", label:\"Work history\", correct:\"used\" },\n    { id:\"projects\", label:\"Project outcomes\", correct:\"used\" },\n    { id:\"certs\", label:\"Certifications\", correct:\"used\" },\n    { id:\"age\", label:\"Age\", correct:\"ignored\" },\n    { id:\"gender\", label:\"Gender\", correct:\"ignored\" },\n    { id:\"zip\", label:\"Zip code\", correct:\"ignored\" },\n    { id:\"eth\", label:\"Ethnicity\", correct:\"ignored\" }\n  ];\n\n  const state = {}; \/\/ id -> \"used\" | \"ignored\" | null\n\n  function updateCounts(){\n    const u = Object.values(state).filter(v=>v===\"used\").length;\n    const i = Object.values(state).filter(v=>v===\"ignored\").length;\n    usedCount.textContent = String(u);\n    ignoredCount.textContent = String(i);\n  }\n\n  function buildCard(d){\n    const btn = document.createElement('button');\n    btn.type = \"button\";\n    btn.className = \"aim5-card\";\n    btn.setAttribute('data-id', d.id);\n    btn.innerHTML = '<span class=\"aim5-dot\" aria-hidden=\"true\"><\/span><span>'+d.label+'<\/span>';\n\n    btn.addEventListener('click', ()=>{\n      const cur = state[d.id] || null;\n      const next = cur === null ? \"used\" : (cur === \"used\" ? \"ignored\" : null);\n      state[d.id] = next;\n\n      btn.classList.remove('is-used', 'is-ignored');\n      if(next === \"used\"){\n        btn.classList.add('is-used');\n        usedBin.appendChild(btn);\n      } else if(next === \"ignored\"){\n        btn.classList.add('is-ignored');\n        ignoredBin.appendChild(btn);\n      } else {\n        deck.appendChild(btn);\n      }\n\n      result.hidden = true;\n      updateCounts();\n    });\n\n    return btn;\n  }\n\n  function reset(){\n    deck.innerHTML = \"\";\n    usedBin.innerHTML = \"\";\n    ignoredBin.innerHTML = \"\";\n    cards.forEach(c=> state[c.id] = null);\n    cards.forEach(c=> deck.appendChild(buildCard(c)));\n    updateCounts();\n    result.hidden = true;\n    scoreEl.textContent = \"0\";\n    msgEl.textContent = \"\";\n  }\n\n  function check(){\n    let score = 0;\n    cards.forEach(c=>{\n      if(state[c.id] === c.correct) score += 1;\n    });\n\n    scoreEl.textContent = String(score);\n    result.hidden = false;\n\n    if(score === cards.length){\n      msgEl.textContent = \"Perfect. You separated performance signals from protected traits. That is the goal of ethical matching.\";\n      return;\n    }\n    if(score >= 6){\n      msgEl.textContent = \"Nice. You got most of it. AI matching should focus on skills and impact, not personal traits.\";\n      return;\n    }\n    msgEl.textContent = \"Try again. A fair system should avoid protected traits and focus on skills, proof, and role signals.\";\n  }\n\n  checkBtn.addEventListener('click', check);\n  resetBtn.addEventListener('click', reset);\n\n  reset();\n})();\n<\/script>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Common Myths About AI Matching<\/strong><\/h2>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"2560\" height=\"1280\" src=\"https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19161214\/AIM6-scaled.jpg\" alt=\"Myths About AI Matching\" class=\"wp-image-10356\" srcset=\"https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19161214\/AIM6-scaled.jpg 2560w, https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19161214\/AIM6-300x150.jpg 300w, https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19161214\/AIM6-1024x512.jpg 1024w, https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19161214\/AIM6-768x384.jpg 768w, https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19161214\/AIM6-1536x768.jpg 1536w, https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19161214\/AIM6-2048x1024.jpg 2048w\" sizes=\"auto, (max-width: 2560px) 100vw, 2560px\" \/><\/figure>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>AI replaces the recruiter.<\/strong> Reality: AI handles the &#8220;sifting,&#8221; but humans still handle the &#8220;selecting.&#8221; It can save recruiters <a href=\"https:\/\/www.smartrecruiters.com\/resources\/article\/recruitment-statistics-for-2025\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">as much as 45%<\/a> of their time. This gives them more space to focus on building real connections.<\/li>\n\n\n\n<li><strong>You can &#8220;cheat&#8221; the AI.<\/strong> Reality: Because modern algorithms look at context and career progression, simple keyword stuffing no longer works.<\/li>\n\n\n\n<li><strong>AI is only for big corporations.<\/strong> Reality: Small businesses use AI to compete with larger firms by finding niche talent faster than ever.<\/li>\n<\/ol>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>How AI Matching Improves Hiring Outcomes<\/strong><\/h2>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"2560\" height=\"1280\" src=\"https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19161231\/AIM7-scaled.jpg\" alt=\"Faster Hiring with AI\" class=\"wp-image-10357\" srcset=\"https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19161231\/AIM7-scaled.jpg 2560w, https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19161231\/AIM7-300x150.jpg 300w, https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19161231\/AIM7-1024x512.jpg 1024w, https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19161231\/AIM7-768x384.jpg 768w, https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19161231\/AIM7-1536x768.jpg 1536w, https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/19161231\/AIM7-2048x1024.jpg 2048w\" sizes=\"auto, (max-width: 2560px) 100vw, 2560px\" \/><\/figure>\n\n\n\n<p>AI recruiting agents are especially useful for niche roles. When a company needs someone with a rare background, like a quantum computing engineer, then manual searches can take weeks. AI tools can review large talent databases quickly and surface people with the right research experience in far less time.<\/p>\n\n\n\n<p>Furthermore, <a href=\"https:\/\/vettio.com\/blog\/are-conversational-ai-recruiting-chatbots-the-future\/\" target=\"_blank\" rel=\"noreferrer noopener\">conversational AI recruiting chatbots<\/a> can engage these candidates the moment they show interest, answering questions and pre-screening them instantly. This keeps the talent pipeline &#8220;warm.&#8221;<\/p>\n\n\n\n<p>Beyond recruitment, this same technology is used for attendee matchmaking at large corporate events, proving that intelligent pairing is the future of all professional networking.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Conclusion<\/strong><\/h2>\n\n\n\n<p>An AI match is not only about speeding things up. It helps teams make better choices. By moving past basic keyword checks and looking at context instead, companies are less likely to overlook strong candidates who may not stand out at first glance.<\/p>\n\n\n\n<p>For teams of any size, using data to guide matching can lead to stronger hires and smoother day-to-day work. When software handles the heavy screening, hiring teams have more time to focus on people and relationships instead of sorting resumes.<\/p>\n\n\n\n<div class=\"aimfaq-wrap\" id=\"aiMatchFaqs\">\n  <h3>FAQs<\/h3>\n  <div class=\"aimfaq-sub\">Tap a question to open the answer.<\/div>\n\n  <div class=\"aimfaq-list\">\n    <div class=\"aimfaq-item\">\n      <button type=\"button\" class=\"aimfaq-q\" aria-expanded=\"false\">\n        <span class=\"aimfaq-qicon\" aria-hidden=\"true\">Q<\/span>\n        <span class=\"aimfaq-qtext\">How does AI match candidates to jobs?<\/span>\n        <span class=\"aimfaq-toggle\" aria-hidden=\"true\">+<\/span>\n      <\/button>\n      <div class=\"aimfaq-a\" hidden>\n        AI reads resumes by looking at both the skills listed and the meaning behind how they are described. It then compares those data points against a job description\u2019s requirements to find the highest statistical probability of a successful fit.\n      <\/div>\n    <\/div>\n\n    <div class=\"aimfaq-item\">\n      <button type=\"button\" class=\"aimfaq-q\" aria-expanded=\"false\">\n        <span class=\"aimfaq-qicon\" aria-hidden=\"true\">Q<\/span>\n        <span class=\"aimfaq-qtext\">Is AI matching better than ATS filtering?<\/span>\n        <span class=\"aimfaq-toggle\" aria-hidden=\"true\">+<\/span>\n      <\/button>\n      <div class=\"aimfaq-a\" hidden>\n        Yes. A basic ATS usually looks for exact words, which can cause strong candidates to get filtered out. AI matching does not depend on exact wording. It can still recognize a good fit even when someone uses different terms to explain their experience.\n      <\/div>\n    <\/div>\n\n    <div class=\"aimfaq-item\">\n      <button type=\"button\" class=\"aimfaq-q\" aria-expanded=\"false\">\n        <span class=\"aimfaq-qicon\" aria-hidden=\"true\">Q<\/span>\n        <span class=\"aimfaq-qtext\">Is AI matching accurate?<\/span>\n        <span class=\"aimfaq-toggle\" aria-hidden=\"true\">+<\/span>\n      <\/button>\n      <div class=\"aimfaq-a\" hidden>\n        Yes. 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Hire Better.<\/strong><\/strong><\/strong><\/strong><\/a><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Discover how AI match technology transforms hiring. Move beyond keywords to find top talent faster and improve your recruitment ROI.<\/p>\n","protected":false},"author":5,"featured_media":10452,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","_kadence_starter_templates_imported_post":false,"footnotes":""},"categories":[13],"tags":[41],"class_list":["post-10321","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-in-recruitment","tag-smarter-hiring"],"taxonomy_info":{"category":[{"value":13,"label":"AI in Recruitment"}],"post_tag":[{"value":41,"label":"Smarter Hiring"}]},"featured_image_src_large":["https:\/\/snabup-prod.s3.amazonaws.com\/blog\/wp-content\/uploads\/2026\/01\/21095802\/AI-Match-Explained-How-Algorithms-Pair-Talent-With-Jobs-1024x890.jpg",800,695,true],"author_info":{"display_name":"Bisma Naeem","author_link":"https:\/\/vettio.com\/blog\/author\/bisma-naeem\/"},"comment_info":1,"category_info":[{"term_id":13,"name":"AI in Recruitment","slug":"ai-in-recruitment","term_group":0,"term_taxonomy_id":13,"taxonomy":"category","description":"","parent":83,"count":57,"filter":"raw","cat_ID":13,"category_count":57,"category_description":"","cat_name":"AI in Recruitment","category_nicename":"ai-in-recruitment","category_parent":83}],"tag_info":[{"term_id":41,"name":"Smarter Hiring","slug":"smarter-hiring","term_group":0,"term_taxonomy_id":41,"taxonomy":"post_tag","description":"","parent":0,"count":54,"filter":"raw"}],"_links":{"self":[{"href":"https:\/\/vettio.com\/blog\/wp-json\/wp\/v2\/posts\/10321","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/vettio.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/vettio.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/vettio.com\/blog\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/vettio.com\/blog\/wp-json\/wp\/v2\/comments?post=10321"}],"version-history":[{"count":5,"href":"https:\/\/vettio.com\/blog\/wp-json\/wp\/v2\/posts\/10321\/revisions"}],"predecessor-version":[{"id":10456,"href":"https:\/\/vettio.com\/blog\/wp-json\/wp\/v2\/posts\/10321\/revisions\/10456"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/vettio.com\/blog\/wp-json\/wp\/v2\/media\/10452"}],"wp:attachment":[{"href":"https:\/\/vettio.com\/blog\/wp-json\/wp\/v2\/media?parent=10321"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/vettio.com\/blog\/wp-json\/wp\/v2\/categories?post=10321"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/vettio.com\/blog\/wp-json\/wp\/v2\/tags?post=10321"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}