{"id":104,"date":"2026-04-22T10:31:43","date_gmt":"2026-04-22T15:31:43","guid":{"rendered":"https:\/\/tampawebtech.com\/news\/?p=104"},"modified":"2026-04-22T10:35:39","modified_gmt":"2026-04-22T15:35:39","slug":"trade-publications-are-only-6-5-of-ai-citations-heres-why-that-matters","status":"publish","type":"post","link":"https:\/\/tampawebtech.com\/news\/trade-publications-are-only-6-5-of-ai-citations-heres-why-that-matters\/","title":{"rendered":"Trade Publications Are Only 6.5% of AI Citations. Here&#8217;s Why That Matters."},"content":{"rendered":"<p><!--\n  CATEGORY: Analysis\n  URL: \/twt-news\/trade-publications-in-ai-citations-analysis\/\n  POST TITLE: Trade Publications Are Only 6.5% of AI Citations. Here's Why That Matters.\n--><\/p>\n<p><!-- BLOCK 1: HERO --><\/p>\n\n\n<style>\r\n.twt-tp-hero { background: #0b3d91; padding: 68px 48px; }\r\n.twt-tp-hero__inner { max-width: 820px; margin: 0 auto; }\r\n.twt-tp-hero__eyebrow {\r\n  display: inline-block; background: #f97316; color: #fff;\r\n  font-family: 'DM Sans', sans-serif; font-size: 12px; font-weight: 600;\r\n  letter-spacing: 0.08em; text-transform: uppercase;\r\n  padding: 4px 12px; border-radius: 4px; margin-bottom: 20px;\r\n}\r\n.twt-tp-hero h1 {\r\n  font-family: 'DM Serif Display', serif; font-size: 42px; font-weight: 400;\r\n  color: #fff; line-height: 1.15; margin: 0 0 20px 0;\r\n}\r\n.twt-tp-hero__sub {\r\n  font-family: 'DM Sans', sans-serif; font-size: 19px;\r\n  color: rgba(255,255,255,0.85); line-height: 1.6; margin: 0 0 24px 0;\r\n}\r\n.twt-tp-hero__byline {\r\n  font-family: 'DM Sans', sans-serif; font-size: 13px;\r\n  color: rgba(255,255,255,0.55); border-top: 1px solid rgba(255,255,255,0.15);\r\n  padding-top: 16px; margin-top: 24px; letter-spacing: 0.02em;\r\n}\r\n@media (max-width: 900px) { .twt-tp-hero { padding: 56px 32px; } .twt-tp-hero h1 { font-size: 32px; } }\r\n@media (max-width: 600px) { .twt-tp-hero { padding: 48px 24px; } .twt-tp-hero h1 { font-size: 26px; } .twt-tp-hero__sub { font-size: 17px; } }\r\n<\/style>\r\n<div class=\"twt-tp-hero\">\r\n  <div class=\"twt-tp-hero__inner\">\r\n    <span class=\"twt-tp-hero__eyebrow\">TWT News \u2014 Analysis<\/span>\r\n    <h1>Trade Publications Are Only 6.5% of AI Citations. Here&#8217;s Why That Matters.<\/h1>\r\n    <p class=\"twt-tp-hero__sub\">For decades, getting featured in a trade publication was the B2B marketing trophy. Our 550-citation AEO study shows trade pubs still matter \u2014 but far less than the industry assumes, with sharply vertical-specific patterns most PR strategies ignore.<\/p>\r\n    <p class=\"twt-tp-hero__byline\">Tampa Web Technologies \u00b7 AEO Analysis<\/p>\r\n  <\/div>\r\n<\/div>\n\n\n<p><!-- BLOCK 2: HEADLINE NUMBERS --><\/p>\n\n\n<style>\r\n.twt-tp-nums { background: #fff; padding: 56px 48px; }\r\n.twt-tp-nums__inner { max-width: 760px; margin: 0 auto; }\r\n.twt-tp-nums h2 {\r\n  font-family: 'DM Serif Display', serif; font-size: 30px; font-weight: 400;\r\n  color: #3232a4; margin: 0 0 22px 0;\r\n}\r\n.twt-tp-nums p {\r\n  font-family: 'DM Sans', sans-serif; font-size: 17px; color: #222;\r\n  line-height: 1.75; margin: 0 0 18px 0;\r\n}\r\n.twt-tp-nums__stats {\r\n  display: grid; grid-template-columns: repeat(2, 1fr); gap: 16px; margin: 28px 0;\r\n}\r\n.twt-tp-nums__stat {\r\n  background: #f7f8f9; border-left: 3px solid #00b4d8;\r\n  padding: 22px 26px; border-radius: 0 6px 6px 0;\r\n}\r\n.twt-tp-nums__num {\r\n  font-family: 'DM Serif Display', serif; font-size: 36px;\r\n  color: #0b3d91; display: block; line-height: 1; margin-bottom: 6px;\r\n}\r\n.twt-tp-nums__label {\r\n  font-family: 'DM Sans', sans-serif; font-size: 13px;\r\n  color: #555; text-transform: uppercase; letter-spacing: 0.05em; font-weight: 600;\r\n}\r\n@media (max-width: 600px) { .twt-tp-nums { padding: 44px 24px; } .twt-tp-nums h2 { font-size: 26px; } .twt-tp-nums__stats { grid-template-columns: 1fr; } }\r\n<\/style>\r\n<div class=\"twt-tp-nums\">\r\n  <div class=\"twt-tp-nums__inner\">\r\n    <h2>The headline numbers<\/h2>\r\n    <p>Across 550 AI citations covering ChatGPT, Perplexity, and Gemini across 16 verticals, here&#8217;s what trade publications contributed.<\/p>\r\n    <div class=\"twt-tp-nums__stats\">\r\n      <div class=\"twt-tp-nums__stat\">\r\n        <span class=\"twt-tp-nums__num\">6.5%<\/span>\r\n        <span class=\"twt-tp-nums__label\">Trade publication share of all AI citations<\/span>\r\n      <\/div>\r\n      <div class=\"twt-tp-nums__stat\">\r\n        <span class=\"twt-tp-nums__num\">15.6<\/span>\r\n        <span class=\"twt-tp-nums__label\">Mean Page Structure Score \u2014 below every other content type<\/span>\r\n      <\/div>\r\n      <div class=\"twt-tp-nums__stat\">\r\n        <span class=\"twt-tp-nums__num\">8 of 16<\/span>\r\n        <span class=\"twt-tp-nums__label\">Verticals with zero trade pub citations<\/span>\r\n      <\/div>\r\n      <div class=\"twt-tp-nums__stat\">\r\n        <span class=\"twt-tp-nums__num\">13.9%<\/span>\r\n        <span class=\"twt-tp-nums__label\">Trade pub citations scoring high quality (PSS 60+)<\/span>\r\n      <\/div>\r\n    <\/div>\r\n    <p>Trade publications accounted for 36 of 550 citations \u2014 below owned brand content (46.4%), independent sources (22.7%), and third-party references (16.4%). The PR assumption that trade press is an AEO lever needs serious revision.<\/p>\r\n  <\/div>\r\n<\/div>\n\n\n<p><!-- BLOCK 3: WHERE TRADE PUBS ACTUALLY WIN --><\/p>\n\n\n<style>\r\n.twt-tp-where { background: #f7f8f9; padding: 56px 48px; }\r\n.twt-tp-where__inner { max-width: 820px; margin: 0 auto; }\r\n.twt-tp-where h2 {\r\n  font-family: 'DM Serif Display', serif; font-size: 30px; font-weight: 400;\r\n  color: #3232a4; margin: 0 0 22px 0;\r\n}\r\n.twt-tp-where p {\r\n  font-family: 'DM Sans', sans-serif; font-size: 17px; color: #222;\r\n  line-height: 1.75; margin: 0 0 18px 0;\r\n}\r\n.twt-tp-where__table {\r\n  background: #fff; border-radius: 8px; overflow: hidden;\r\n  border: 1px solid #e0e0e0; margin: 24px 0;\r\n}\r\n.twt-tp-where__row {\r\n  display: grid; grid-template-columns: 2fr 1fr 1fr;\r\n  border-bottom: 1px solid #f0f0f0;\r\n}\r\n.twt-tp-where__row:last-child { border-bottom: none; }\r\n.twt-tp-where__row--header {\r\n  background: #0b3d91;\r\n  font-family: 'DM Sans', sans-serif; font-size: 13px;\r\n  font-weight: 600; color: #fff;\r\n  text-transform: uppercase; letter-spacing: 0.05em;\r\n}\r\n.twt-tp-where__cell {\r\n  padding: 14px 20px;\r\n  font-family: 'DM Sans', sans-serif; font-size: 15px;\r\n  color: #222; line-height: 1.5; border-right: 1px solid #f0f0f0;\r\n}\r\n.twt-tp-where__cell:last-child { border-right: none; }\r\n.twt-tp-where__cell--label { font-weight: 600; color: #3232a4; }\r\n@media (max-width: 700px) { .twt-tp-where { padding: 44px 24px; } .twt-tp-where h2 { font-size: 26px; } .twt-tp-where__row { grid-template-columns: 1fr; } .twt-tp-where__cell { border-right: none; border-bottom: 1px solid #f0f0f0; } }\r\n<\/style>\r\n<div class=\"twt-tp-where\">\r\n  <div class=\"twt-tp-where__inner\">\r\n    <h2>Where trade publications actually show up in AI citations<\/h2>\r\n    <p>Distribution is sharply vertical-specific. Some categories get heavy trade pub coverage; others get none at all.<\/p>\r\n    <div class=\"twt-tp-where__table\">\r\n      <div class=\"twt-tp-where__row twt-tp-where__row--header\">\r\n        <div class=\"twt-tp-where__cell\">Vertical<\/div>\r\n        <div class=\"twt-tp-where__cell\">Citations<\/div>\r\n        <div class=\"twt-tp-where__cell\">Top Publication<\/div>\r\n      <\/div>\r\n      <div class=\"twt-tp-where__row\">\r\n        <div class=\"twt-tp-where__cell twt-tp-where__cell--label\">Utility Vehicles<\/div>\r\n        <div class=\"twt-tp-where__cell\">10<\/div>\r\n        <div class=\"twt-tp-where__cell\">Trucking Info, MWS Mag<\/div>\r\n      <\/div>\r\n      <div class=\"twt-tp-where__row\">\r\n        <div class=\"twt-tp-where__cell twt-tp-where__cell--label\">Industrial Equipment Mfg<\/div>\r\n        <div class=\"twt-tp-where__cell\">9<\/div>\r\n        <div class=\"twt-tp-where__cell\">Equipment World, IndustryWeek<\/div>\r\n      <\/div>\r\n      <div class=\"twt-tp-where__row\">\r\n        <div class=\"twt-tp-where__cell twt-tp-where__cell--label\">Precision Agriculture<\/div>\r\n        <div class=\"twt-tp-where__cell\">6<\/div>\r\n        <div class=\"twt-tp-where__cell\">MSU Extension, CropLife<\/div>\r\n      <\/div>\r\n      <div class=\"twt-tp-where__row\">\r\n        <div class=\"twt-tp-where__cell twt-tp-where__cell--label\">Industrial Robotics<\/div>\r\n        <div class=\"twt-tp-where__cell\">5<\/div>\r\n        <div class=\"twt-tp-where__cell\">Assembly Mag, Tech Briefs<\/div>\r\n      <\/div>\r\n      <div class=\"twt-tp-where__row\">\r\n        <div class=\"twt-tp-where__cell twt-tp-where__cell--label\">HVAC Building Automation<\/div>\r\n        <div class=\"twt-tp-where__cell\">2<\/div>\r\n        <div class=\"twt-tp-where__cell\">Distribution Strategy<\/div>\r\n      <\/div>\r\n      <div class=\"twt-tp-where__row\">\r\n        <div class=\"twt-tp-where__cell twt-tp-where__cell--label\">Data Center Cooling<\/div>\r\n        <div class=\"twt-tp-where__cell\">2<\/div>\r\n        <div class=\"twt-tp-where__cell\">Data Centre Magazine<\/div>\r\n      <\/div>\r\n      <div class=\"twt-tp-where__row\">\r\n        <div class=\"twt-tp-where__cell twt-tp-where__cell--label\">Automation &#038; Robotics<\/div>\r\n        <div class=\"twt-tp-where__cell\">0<\/div>\r\n        <div class=\"twt-tp-where__cell\">None cited<\/div>\r\n      <\/div>\r\n      <div class=\"twt-tp-where__row\">\r\n        <div class=\"twt-tp-where__cell twt-tp-where__cell--label\">Roofing Contractors<\/div>\r\n        <div class=\"twt-tp-where__cell\">0<\/div>\r\n        <div class=\"twt-tp-where__cell\">None cited<\/div>\r\n      <\/div>\r\n      <div class=\"twt-tp-where__row\">\r\n        <div class=\"twt-tp-where__cell twt-tp-where__cell--label\">Healthcare Digital<\/div>\r\n        <div class=\"twt-tp-where__cell\">0<\/div>\r\n        <div class=\"twt-tp-where__cell\">None cited<\/div>\r\n      <\/div>\r\n      <div class=\"twt-tp-where__row\">\r\n        <div class=\"twt-tp-where__cell twt-tp-where__cell--label\">Industrial IoT<\/div>\r\n        <div class=\"twt-tp-where__cell\">0<\/div>\r\n        <div class=\"twt-tp-where__cell\">None cited<\/div>\r\n      <\/div>\r\n      <div class=\"twt-tp-where__row\">\r\n        <div class=\"twt-tp-where__cell twt-tp-where__cell--label\">Work Boots<\/div>\r\n        <div class=\"twt-tp-where__cell\">0<\/div>\r\n        <div class=\"twt-tp-where__cell\">None cited<\/div>\r\n      <\/div>\r\n    <\/div>\r\n    <p>Half the verticals in our study have zero trade publication citations. If you sell roofing services, automation technology, healthcare software, or industrial IoT, chasing trade press coverage for AEO purposes is investing in a surface that does not exist for your category.<\/p>\r\n  <\/div>\r\n<\/div>\n\n\n<p><!-- BLOCK 4: WHY TRADE PSS IS LOW --><\/p>\n\n\n<style>\r\n.twt-tp-pss { background: #fff; padding: 56px 48px; }\r\n.twt-tp-pss__inner { max-width: 760px; margin: 0 auto; }\r\n.twt-tp-pss h2 {\r\n  font-family: 'DM Serif Display', serif; font-size: 30px; font-weight: 400;\r\n  color: #3232a4; margin: 0 0 22px 0;\r\n}\r\n.twt-tp-pss p {\r\n  font-family: 'DM Sans', sans-serif; font-size: 17px; color: #222;\r\n  line-height: 1.75; margin: 0 0 18px 0;\r\n}\r\n.twt-tp-pss__compare {\r\n  background: #f7f8f9; padding: 26px 30px; border-radius: 6px; margin: 24px 0;\r\n  border-left: 4px solid #f97316;\r\n}\r\n.twt-tp-pss__compare-row {\r\n  display: grid; grid-template-columns: 2fr 1fr;\r\n  padding: 10px 0; border-bottom: 1px solid #e0e0e0;\r\n  font-family: 'DM Sans', sans-serif; font-size: 15px;\r\n}\r\n.twt-tp-pss__compare-row:last-child { border-bottom: none; }\r\n.twt-tp-pss__compare-label { color: #3232a4; font-weight: 600; }\r\n.twt-tp-pss__compare-val { text-align: right; color: #222; font-weight: 600; }\r\n@media (max-width: 600px) { .twt-tp-pss { padding: 44px 24px; } .twt-tp-pss h2 { font-size: 26px; } }\r\n<\/style>\r\n<div class=\"twt-tp-pss\">\r\n  <div class=\"twt-tp-pss__inner\">\r\n    <h2>Why trade publication PSS runs so low<\/h2>\r\n    <p>Page Structure Score measures how extractable content is for AI \u2014 direct factual statements, clear hierarchy, schema markup, topical alignment. Trade publications score consistently below other citation types.<\/p>\r\n    <div class=\"twt-tp-pss__compare\">\r\n      <div class=\"twt-tp-pss__compare-row\">\r\n        <div class=\"twt-tp-pss__compare-label\">Independent sources (review sites, aggregators)<\/div>\r\n        <div class=\"twt-tp-pss__compare-val\">Mean PSS 43.0<\/div>\r\n      <\/div>\r\n      <div class=\"twt-tp-pss__compare-row\">\r\n        <div class=\"twt-tp-pss__compare-label\">Owned brand content<\/div>\r\n        <div class=\"twt-tp-pss__compare-val\">Mean PSS 37.9<\/div>\r\n      <\/div>\r\n      <div class=\"twt-tp-pss__compare-row\">\r\n        <div class=\"twt-tp-pss__compare-label\">Third-party mentions<\/div>\r\n        <div class=\"twt-tp-pss__compare-val\">Mean PSS 21.1<\/div>\r\n      <\/div>\r\n      <div class=\"twt-tp-pss__compare-row\">\r\n        <div class=\"twt-tp-pss__compare-label\">Trade publications (earned editorial)<\/div>\r\n        <div class=\"twt-tp-pss__compare-val\">Mean PSS 15.6<\/div>\r\n      <\/div>\r\n    <\/div>\r\n    <p>Three reasons trade pub content underperforms on extractability.<\/p>\r\n    <p><strong>One.<\/strong> Trade publications are built for trade-reader skimming. Headlines and ledes are crafted for clicks, not for clean factual extraction. A trade headline often makes a claim the article body then qualifies heavily, which fragments the extractable fact.<\/p>\r\n    <p><strong>Two.<\/strong> Most trade pubs underinvest in schema markup, structured data, and technical SEO. Compare a typical Equipment World article to a Schneider Electric product page \u2014 the brand page has Article, Product, and FAQ schema layered in. The trade article often has none.<\/p>\r\n    <p><strong>Three.<\/strong> Trade pub rankings and &#8220;10 best&#8221; articles tend to be thin. The IndustryWeek US 500 listing we saw cited (PSS 10) is a table of company names. The actual analysis sits behind a paywall or in a PDF. AI engines extract what&#8217;s visible.<\/p>\r\n  <\/div>\r\n<\/div>\n\n\n<p><!-- BLOCK 5: THE PATTERN THAT MATTERS --><\/p>\n\n\n<style>\r\n.twt-tp-pat { background: #0b3d91; padding: 60px 48px; }\r\n.twt-tp-pat__inner { max-width: 760px; margin: 0 auto; }\r\n.twt-tp-pat h2 {\r\n  font-family: 'DM Serif Display', serif; font-size: 28px; font-weight: 400;\r\n  color: #fff; margin: 0 0 20px 0;\r\n}\r\n.twt-tp-pat p {\r\n  font-family: 'DM Sans', sans-serif; font-size: 17px;\r\n  color: rgba(255,255,255,0.85); line-height: 1.75; margin: 0 0 18px 0;\r\n}\r\n.twt-tp-pat__callout {\r\n  background: rgba(255,255,255,0.06); border-left: 3px solid #00b4d8;\r\n  padding: 22px 26px; margin: 24px 0; border-radius: 0 6px 6px 0;\r\n}\r\n.twt-tp-pat__callout p {\r\n  font-size: 16px; color: rgba(255,255,255,0.9); margin: 0; font-style: italic;\r\n}\r\n.twt-tp-pat strong { color: #fff; }\r\n@media (max-width: 600px) { .twt-tp-pat { padding: 48px 24px; } .twt-tp-pat h2 { font-size: 24px; } }\r\n<\/style>\r\n<div class=\"twt-tp-pat\">\r\n  <div class=\"twt-tp-pat__inner\">\r\n    <h2>The pattern that actually matters<\/h2>\r\n    <p>When a trade publication citation <em>does<\/em> land a high Page Structure Score, it shares specific traits. The two highest-scoring trade citations in the dataset illustrate what works:<\/p>\r\n    <p><strong>Distribution Strategy&#8217;s Carrier Abound coverage<\/strong> scored PSS 74 on Gemini. The article is structured like a tutorial \u2014 headline states the claim, body delivers specifics about the Tell Me More feature, quote blocks from Carrier leadership, clear product naming throughout. It reads like extractable reference content, not puffery.<\/p>\r\n    <p><strong>Trucking Info&#8217;s Terex HyPower IM coverage<\/strong> scored PSS 73 on Perplexity. The article opens with concrete fuel reduction numbers, names the specific product model, and maintains factual density throughout. No marketing abstractions.<\/p>\r\n    <div class=\"twt-tp-pat__callout\">\r\n      <p>High-scoring trade pub citations read more like well-written product documentation than journalism. When trade press gets cited by AI, it&#8217;s usually the articles that look like owned content.<\/p>\r\n    <\/div>\r\n    <p>That has a specific implication. If you&#8217;re working with trade publications, treat placement as a <strong>factual density exercise<\/strong>, not a brand awareness exercise. The article you want written is not &#8220;Brand X is leading the industry forward.&#8221; It&#8217;s &#8220;Brand X&#8217;s Product Y reduces Z by W percent because of mechanism V.&#8221; One is paraphrased away in AI responses. The other gets cited.<\/p>\r\n  <\/div>\r\n<\/div>\n\n\n<p><!-- BLOCK 6: WHAT THIS MEANS --><\/p>\n\n\n<style>\r\n.twt-tp-means { background: #fff; padding: 56px 48px; }\r\n.twt-tp-means__inner { max-width: 760px; margin: 0 auto; }\r\n.twt-tp-means h2 {\r\n  font-family: 'DM Serif Display', serif; font-size: 30px; font-weight: 400;\r\n  color: #3232a4; margin: 0 0 22px 0;\r\n}\r\n.twt-tp-means p {\r\n  font-family: 'DM Sans', sans-serif; font-size: 17px; color: #222;\r\n  line-height: 1.75; margin: 0 0 18px 0;\r\n}\r\n.twt-tp-means h3 {\r\n  font-family: 'DM Serif Display', serif; font-size: 21px;\r\n  color: #3232a4; margin: 28px 0 10px 0;\r\n}\r\n@media (max-width: 600px) { .twt-tp-means { padding: 44px 24px; } .twt-tp-means h2 { font-size: 26px; } }\r\n<\/style>\r\n<div class=\"twt-tp-means\">\r\n  <div class=\"twt-tp-means__inner\">\r\n    <h2>What this means for your PR and AEO strategy<\/h2>\r\n\r\n    <h3>Check whether your vertical even has trade pub AEO surface<\/h3>\r\n    <p>Before you invest in trade publication placement for AEO purposes, run the test. Query ChatGPT, Perplexity, and Gemini about your category&#8217;s most-cited brands. Count how many trade pub URLs appear. If the answer is zero or near-zero across all three, trade press is not an AEO lever for your vertical. It may still have value for brand building and lead generation \u2014 but not for citation strategy.<\/p>\r\n\r\n    <h3>If your vertical does use trade pubs, pick the ones AI actually cites<\/h3>\r\n    <p>Utility fleet vehicles cited Trucking Info and MWS Magazine. Industrial equipment cited Equipment World and IndustryWeek. Precision agriculture cited MSU Extension and CropLife. These are specific, measurable placements. Vague &#8220;trade press outreach&#8221; across random publications does not move AEO needles.<\/p>\r\n\r\n    <h3>Write for factual density, not narrative<\/h3>\r\n    <p>The trade articles that got cited at PSS 70+ read like technical reviews. Specific product names. Exact numbers. Named mechanisms. If you are drafting contributed articles or working with trade publication writers, push for concreteness. The article with ten named facts gets cited. The article with one named fact and nine paragraphs of narrative gets paraphrased away.<\/p>\r\n\r\n    <h3>Owned content still outperforms<\/h3>\r\n    <p>Across every vertical with trade pub citations, owned brand content was cited more frequently and at higher quality scores. Trade press is a supplementary channel at best. The foundation is still your own website documenting your own products at extractable quality.<\/p>\r\n  <\/div>\r\n<\/div>\n\n\n<p><!-- BLOCK 7: RELATED --><\/p>\n\n\n<style>\r\n.twt-tp-rel { background: #3232a4; padding: 48px 48px; }\r\n.twt-tp-rel__inner { max-width: 820px; margin: 0 auto; }\r\n.twt-tp-rel h2 {\r\n  font-family: 'DM Serif Display', serif; font-size: 24px; font-weight: 400;\r\n  color: #fff; margin: 0 0 20px 0;\r\n}\r\n.twt-tp-rel__grid { display: grid; grid-template-columns: repeat(3, 1fr); gap: 12px; }\r\n.twt-tp-rel__card {\r\n  background: rgba(255,255,255,0.08); border-radius: 6px;\r\n  padding: 18px; text-decoration: none; color: inherit; display: block;\r\n  transition: background 200ms;\r\n}\r\n.twt-tp-rel__card:hover { background: rgba(255,255,255,0.14); }\r\n.twt-tp-rel__card h3 {\r\n  font-family: 'DM Serif Display', serif; font-size: 16px;\r\n  color: #fff; margin: 0 0 6px 0;\r\n}\r\n.twt-tp-rel__card p {\r\n  font-family: 'DM Sans', sans-serif; font-size: 12px;\r\n  color: rgba(255,255,255,0.8); line-height: 1.5; margin: 0 0 8px 0;\r\n}\r\n.twt-tp-rel__link {\r\n  font-family: 'DM Sans', sans-serif; font-size: 11px;\r\n  color: #00b4d8; font-weight: 600;\r\n  text-transform: uppercase; letter-spacing: 0.06em;\r\n}\r\n@media (max-width: 900px) { .twt-tp-rel__grid { grid-template-columns: 1fr; } }\r\n@media (max-width: 600px) { .twt-tp-rel { padding: 40px 24px; } }\r\n<\/style>\r\n<div class=\"twt-tp-rel\">\r\n  <div class=\"twt-tp-rel__inner\">\r\n    <h2>Related analysis<\/h2>\r\n    <div class=\"twt-tp-rel__grid\">\r\n      <a href=\"\/news\/category\/analysis\/\" class=\"twt-tp-rel__card\">\r\n        <h3>The earned media myth<\/h3>\r\n        <p>Why the widely-cited &#8220;85% of AI answers come from earned media&#8221; claim does not match the data.<\/p>\r\n        <span class=\"twt-tp-rel__link\">Read \u2192<\/span>\r\n      <\/a>\r\n      <a href=\"\/news\/category\/analysis\/\" class=\"twt-tp-rel__card\">\r\n        <h3>Reddit and LinkedIn reality check<\/h3>\r\n        <p>Combined they&#8217;re 2.7% of citations and never drive the answer. The LinkedIn discourse has it wrong.<\/p>\r\n        <span class=\"twt-tp-rel__link\">Read \u2192<\/span>\r\n      <\/a>\r\n      <a href=\"\/news\/category\/aeo\/\" class=\"twt-tp-rel__card\">\r\n        <h3>AEO Research<\/h3>\r\n        <p>How the three AI engines cite content, broken down by engine and vertical.<\/p>\r\n        <span class=\"twt-tp-rel__link\">Read \u2192<\/span>\r\n      <\/a>\r\n    <\/div>\r\n  <\/div>\r\n<\/div>\n\n\n<p><!-- BLOCK 8: CTA --><\/p>\n\n\n<style>\r\n.twt-tp-cta { background: #0b3d91; padding: 48px 48px; text-align: center; }\r\n.twt-tp-cta__inner { max-width: 600px; margin: 0 auto; }\r\n.twt-tp-cta h2 {\r\n  font-family: 'DM Serif Display', serif; font-size: 26px; font-weight: 400;\r\n  color: #fff; margin: 0 0 14px 0;\r\n}\r\n.twt-tp-cta p {\r\n  font-family: 'DM Sans', sans-serif; font-size: 16px;\r\n  color: rgba(255,255,255,0.85); line-height: 1.6; margin: 0 0 22px 0;\r\n}\r\n.twt-tp-cta__btn {\r\n  display: inline-block; background: #f97316; color: #fff;\r\n  font-family: 'DM Sans', sans-serif; font-size: 15px; font-weight: 600;\r\n  padding: 13px 26px; border-radius: 6px; text-decoration: none;\r\n}\r\n.twt-tp-cta__btn:hover { background: #ea6c0a; color: #fff; }\r\n@media (max-width: 600px) { .twt-tp-cta { padding: 40px 24px; } .twt-tp-cta h2 { font-size: 22px; } }\r\n<\/style>\r\n<div class=\"twt-tp-cta\">\r\n  <div class=\"twt-tp-cta__inner\">\r\n    <h2>Know where your AI citations actually come from<\/h2>\r\n    <p>Tampa Web Technologies audits your real AI citation mix \u2014 which surfaces drive answers in your vertical versus which ones are noise.<\/p>\r\n    <a href=\"\/contact\" class=\"twt-tp-cta__btn\">Request an AI Citation Audit<\/a>\r\n  <\/div>\r\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>TWT News \u2014 Analysis Trade Publications Are Only 6.5% of AI Citations. Here&#8217;s Why That Matters. For decades, getting featured in a trade publication was the B2B marketing trophy. Our 550-citation AEO study shows trade pubs still matter \u2014 but far less than the industry assumes, with sharply vertical-specific patterns most PR strategies ignore. Tampa [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":106,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[115],"tags":[],"class_list":["post-104","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-analysis"],"_links":{"self":[{"href":"https:\/\/tampawebtech.com\/news\/wp-json\/wp\/v2\/posts\/104","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/tampawebtech.com\/news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/tampawebtech.com\/news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/tampawebtech.com\/news\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/tampawebtech.com\/news\/wp-json\/wp\/v2\/comments?post=104"}],"version-history":[{"count":1,"href":"https:\/\/tampawebtech.com\/news\/wp-json\/wp\/v2\/posts\/104\/revisions"}],"predecessor-version":[{"id":105,"href":"https:\/\/tampawebtech.com\/news\/wp-json\/wp\/v2\/posts\/104\/revisions\/105"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/tampawebtech.com\/news\/wp-json\/wp\/v2\/media\/106"}],"wp:attachment":[{"href":"https:\/\/tampawebtech.com\/news\/wp-json\/wp\/v2\/media?parent=104"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/tampawebtech.com\/news\/wp-json\/wp\/v2\/categories?post=104"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/tampawebtech.com\/news\/wp-json\/wp\/v2\/tags?post=104"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}