{"id":684726,"date":"2025-08-12T23:45:20","date_gmt":"2025-08-12T20:45:20","guid":{"rendered":"https:\/\/buradabiliyorum.com\/en\/google-taps-large-language-models-to-cut-invalid-ad-traffic-by-40\/"},"modified":"2025-08-12T23:45:20","modified_gmt":"2025-08-12T20:45:20","slug":"google-taps-large-language-models-to-cut-invalid-ad-traffic-by-40","status":"publish","type":"post","link":"https:\/\/buradabiliyorum.com\/en\/google-taps-large-language-models-to-cut-invalid-ad-traffic-by-40\/","title":{"rendered":"Google taps large language models to cut invalid ad traffic by 40%"},"content":{"rendered":"<div><img loading=\"lazy\" decoding=\"async\" width=\"1920\" height=\"1080\" src=\"https:\/\/searchengineland.com\/wp-content\/seloads\/2025\/07\/How-Google-works-Experiments-entities-and-the-AI-layer-beneath-search.png\" class=\"attachment-large size-large wp-post-image\" alt=\"How Google works: Experiments, entities, and the AI layer beneath search\" style=\"margin-bottom: 15px\" \/><\/div>\n<p>Google is deploying large language models (LLMs) from its Ad Traffic Quality team, Google Research, and DeepMind to better detect and block invalid traffic \u2013 ad activity from non-human or uninterested sources \u2013 across its platforms.<\/p>\n<p><strong>Why we care.<\/strong> Invalid traffic drains advertiser budgets, skews publisher revenue, and undermines trust in the digital ad ecosystem. Google\u2019s upgraded defenses aim to identify problematic ad placements more precisely, reducing policy-violating behaviors before they impact campaigns. This would mean fewer wasted impressions, better targeting accuracy, and stronger protection for their budgets.<\/p>\n<p><strong>By the numbers<\/strong>. Google said there was a 40% reduction in invalid traffic tied to deceptive or disruptive ad serving practices. This is due to faster detection of risky placements, which is accomplished in real time by analyzing <a href=\"https:\/\/buradabiliyorum.com\/en\/category\/download-scripts-themes-apps\/\" data-internallinksmanager029f6b8e52c=\"9\" title=\"Download Scripts &amp; Themes &amp; Apps\" target=\"_blank\" rel=\"noopener\">app<\/a>\/web content, ad placements, and user interactions.<\/p>\n<p><strong>Between the lines:<\/strong> Google already runs extensive automated and manual checks to ensure advertisers aren\u2019t billed for invalid traffic. However, the <a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/blog.google\/products\/ads-commerce\/using-ai-to-fight-invalid-ad-traffic\/\" target=\"_blank\" rel=\"noopener\">LLM-powered approach<\/a> could be a bigger leap in speed and accuracy and could make deceptive ad strategies far harder to profit from.<\/p>\n<blockquote><p><strong><span style=\"color: #ff6600;\">If you liked the article, do not forget to share it with your friends. Follow us on\u00a0<span style=\"color: #ff0000;\"><a style=\"color: #ff0000;\" href=\"https:\/\/news.google.com\/publications\/CAAqBwgKMN63nwsw68G3Aw\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">Google News<\/a><\/span>\u00a0too, click on the star and choose us from your favorites.<\/span><\/strong><\/p><\/blockquote>\n<blockquote>\n<p style=\"text-align: center;\"><strong>If you want to read more like this article, you can visit our <span style=\"color: #ff9900;\"><a style=\"color: #ff9900;\" href=\"https:\/\/buradabiliyorum.com\/en\/category\/technology\/\" target=\"_blank\" >Technology<\/a><\/span> category.<\/strong><\/p>\n<\/blockquote>\n<p><span style=\"color: black;\"><a style=\"color: #ff9900;\" href=\"https:\/\/searchengineland.com\/google-large-language-models-invalid-ad-traffic-460682\" target=\"_blank\" >Source<\/a><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Google is deploying large language models (LLMs) from its Ad Traffic Quality team, Google Research, and DeepMind to better detect and block invalid traffic \u2013 ad activity from non-human or uninterested sources \u2013 across its platforms. Why we care. Invalid traffic drains advertiser budgets, skews publisher revenue, and undermines trust in the digital ad ecosystem&#8230;.<\/p>\n","protected":false},"author":1,"featured_media":684727,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/searchengineland.com\/wp-content\/seloads\/2025\/07\/How-Google-works-Experiments-entities-and-the-AI-layer-beneath-search.png","fifu_image_alt":"","footnotes":""},"categories":[18],"tags":[],"class_list":["post-684726","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology"],"_links":{"self":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts\/684726","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/comments?post=684726"}],"version-history":[{"count":0,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts\/684726\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/media\/684727"}],"wp:attachment":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/media?parent=684726"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/categories?post=684726"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/tags?post=684726"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}