{"id":4786,"date":"2025-10-09T14:27:12","date_gmt":"2025-10-09T14:27:12","guid":{"rendered":"https:\/\/www.stanventures.com\/news\/?p=4786"},"modified":"2025-10-31T13:57:47","modified_gmt":"2025-10-31T13:57:47","slug":"how-brands-influence-ai-answers-and-shape-what-you-see","status":"publish","type":"post","link":"https:\/\/www.stanventures.com\/news\/how-brands-influence-ai-answers-and-shape-what-you-see-4786\/","title":{"rendered":"How Brands Influence AI Answers and Shape What You See"},"content":{"rendered":"<p><b>New research reveals that large language models, such as ChatGPT, Gemini, and Claude, are susceptible to influence from brand mentions, freshness signals, and social chatter, thereby opening the door to manipulation and raising concerns about fairness in AI-driven search.<\/b><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-4787\" src=\"https:\/\/www.stanventures.com\/news\/wp-content\/uploads\/2025\/10\/ChatGPT-Image-Oct-9-2025-05_47_35-PM.png\" alt=\"How Brands Influence AI Answers and Shape What You See\" width=\"1536\" height=\"1024\" srcset=\"https:\/\/www.stanventures.com\/news\/wp-content\/uploads\/2025\/10\/ChatGPT-Image-Oct-9-2025-05_47_35-PM.png 1536w, https:\/\/www.stanventures.com\/news\/wp-content\/uploads\/2025\/10\/ChatGPT-Image-Oct-9-2025-05_47_35-PM-300x200.png 300w, https:\/\/www.stanventures.com\/news\/wp-content\/uploads\/2025\/10\/ChatGPT-Image-Oct-9-2025-05_47_35-PM-1024x683.png 1024w\" sizes=\"auto, (max-width: 1536px) 100vw, 1536px\" \/><\/p>\n<p><span style=\"font-weight: 400;\">A recent investigation led by marketer and SparkToro co-founder <\/span><a href=\"https:\/\/sparktoro.com\/blog\/weve-learned-more-about-how-to-appear-in-ai-answers\/\"><span style=\"font-weight: 400;\">Rand Fishkin<\/span><\/a><span style=\"font-weight: 400;\"> has shed light on how easily AI-generated answers can be shaped by subtle signals across the web.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The findings, based on coordinated experiments and marketing observations, suggest that LLMs display noticeable bias toward certain types of content.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">When asked questions like \u201cWhat\u2019s the best product, service, or agency?\u201d these AI tools tended to favor brands mentioned repeatedly across online sources, even when those sources weren\u2019t particularly trustworthy.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Mentions on Reddit and YouTube, as well as content labeled with recent publication dates, carried disproportionate influence on what brands appeared in AI-generated lists.<\/span><\/p>\n<p>&nbsp;<\/p>\n<blockquote class=\"twitter-tweet\">\n<p dir=\"ltr\" lang=\"en\">NEW: <a href=\"https:\/\/t.co\/Cflt8H0YHv\">https:\/\/t.co\/Cflt8H0YHv<\/a><\/p>\n<p>We&#8217;ve learned more about how to appear in AI answers thanks to some clever experiments, research, and posts from folks in the SEO world. <a href=\"https:\/\/twitter.com\/hashtag\/5minutewhiteboard?src=hash&amp;ref_src=twsrc%5Etfw\">#5minutewhiteboard<\/a> <a href=\"https:\/\/t.co\/OK4ONAHuDz\">pic.twitter.com\/OK4ONAHuDz<\/a><\/p>\n<p>\u2014 Rand Fishkin (follow @randderuiter on Threads) (@randfish) <a href=\"https:\/\/twitter.com\/randfish\/status\/1976202069087498610?ref_src=twsrc%5Etfw\">October 9, 2025<\/a><\/p><\/blockquote>\n<p><script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_83 counter-hierarchy ez-toc-counter ez-toc-transparent ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\"><\/p>\n<span class=\"ez-toc-title-toggle\"><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.stanventures.com\/news\/how-brands-influence-ai-answers-and-shape-what-you-see-4786\/#why-%e2%80%9crecency%e2%80%9d-and-%e2%80%9crepetition%e2%80%9d-matter\" >Why \u201cRecency\u201d and \u201cRepetition\u201d Matter<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.stanventures.com\/news\/how-brands-influence-ai-answers-and-shape-what-you-see-4786\/#the-ethics-question\" >The Ethics Question<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.stanventures.com\/news\/how-brands-influence-ai-answers-and-shape-what-you-see-4786\/#why-ai-tools-are-vulnerable\" >Why AI Tools Are Vulnerable<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.stanventures.com\/news\/how-brands-influence-ai-answers-and-shape-what-you-see-4786\/#how-ais-%e2%80%9ctrust%e2%80%9d-can-be-exploited\" >How AI\u2019s \u201cTrust\u201d Can Be Exploited<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.stanventures.com\/news\/how-brands-influence-ai-answers-and-shape-what-you-see-4786\/#industry-reactions-%e2%80%9ca-wake-up-call%e2%80%9d\" >Industry Reactions: \u201cA Wake-Up Call\u201d<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.stanventures.com\/news\/how-brands-influence-ai-answers-and-shape-what-you-see-4786\/#the-economic-stakes\" >The Economic Stakes<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.stanventures.com\/news\/how-brands-influence-ai-answers-and-shape-what-you-see-4786\/#the-human-cost-of-manipulation\" >The Human Cost of Manipulation<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/www.stanventures.com\/news\/how-brands-influence-ai-answers-and-shape-what-you-see-4786\/#what-can-be-done\" >What Can Be Done<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/www.stanventures.com\/news\/how-brands-influence-ai-answers-and-shape-what-you-see-4786\/#actionable-insights-for-readers\" >Actionable Insights for Readers<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/www.stanventures.com\/news\/how-brands-influence-ai-answers-and-shape-what-you-see-4786\/#key-takeaways\" >Key Takeaways<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"why-%e2%80%9crecency%e2%80%9d-and-%e2%80%9crepetition%e2%80%9d-matter\"><\/span><b>Why \u201cRecency\u201d and \u201cRepetition\u201d Matter<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Fishkin\u2019s findings align with a pattern many digital marketers have observed because AI systems appear to interpret frequency and recency as signs of relevance.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Unlike Google Search, which uses complex spam filters and credibility checks, LLMs often rely on the text patterns and timestamps embedded in their training or retrieval data.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">One experiment cited by Fishkin revealed that falsely updating publication dates on articles could dramatically improve their visibility in AI responses, even if the underlying content was outdated or misleading.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In essence, the newer something looks online, the more weight it carries in an AI-generated answer.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This behavior has created what some in the SEO world call \u201cAI visibility hacking,\u201d where marketers publish or republish large volumes of content filled with strategic <\/span><a href=\"https:\/\/www.stanventures.com\/blog\/brand-mentions-seo-ai-visibility-guide\"><span style=\"font-weight: 400;\">brand mentions<\/span><\/a><span style=\"font-weight: 400;\">, hoping to appear in AI responses that users treat as authoritative recommendations.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"the-ethics-question\"><\/span><b>The Ethics Question<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">That strategy has divided opinion.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Some marketers see this as a logical extension of SEO, simply adapted for a new generation of search tools.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Others, however, worry that it risks turning AI-generated information into an echo chamber of self-promotion.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In Fishkin\u2019s report, one <\/span><a href=\"https:\/\/larslofgren.com\/codesmith-reddit-reputation-attack\/\"><span style=\"font-weight: 400;\">example<\/span><\/a><span style=\"font-weight: 400;\"> stood out because a Reddit moderator allegedly used their position to attack a competing startup, CodeSmith, a coding bootcamp. By posting daily negative comments for over a year, the moderator, who was identified as a co-founder of a rival company, managed to drastically damage CodeSmith\u2019s reputation.<\/span><\/p>\n<p>&nbsp;<\/p>\n<blockquote class=\"twitter-tweet\">\n<p dir=\"ltr\" lang=\"en\">In &lt;2yrs, the cofounder of a Codesmith competitor managed to nearly destroy the company.<\/p>\n<p>How? He became the moderator of a learn-to-code subreddit, posted relentlessly, took down competing posts, and weaponized the sub against them: <a href=\"https:\/\/t.co\/RpE5MU0NvR\">https:\/\/t.co\/RpE5MU0NvR<\/a><\/p>\n<p>\u2014 Rand Fishkin (follow @randderuiter on Threads) (@randfish) <a href=\"https:\/\/twitter.com\/randfish\/status\/1975984598321594510?ref_src=twsrc%5Etfw\">October 8, 2025<\/a><\/p><\/blockquote>\n<p><script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Because Reddit content holds significant weight in how LLMs assess public sentiment, those comments not only hurt CodeSmith\u2019s Google visibility but also influenced how AI models described the company.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">According to Fishkin, the coordinated campaign led to an 80% drop in revenue and dozens of lost jobs.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"why-ai-tools-are-vulnerable\"><\/span><b>Why AI Tools Are Vulnerable<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">The reason this manipulation works lies in how LLMs gather and rank information. These models are trained on vast quantities of online data, but they don\u2019t inherently distinguish credible sources from fabricated or biased ones.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Although developers at OpenAI, Google, and Anthropic have implemented retrieval safeguards, these tools remain vulnerable to reputation gaming.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">AI models prioritize association strength, how often a brand or idea appears near positive context, over deeper evaluations of accuracy or ethics.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">As a result, marketers who consistently associate their brand names with favorable descriptors across the web can subtly influence the model\u2019s perception of their credibility.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This doesn\u2019t require hacking or coding expertise. It can be achieved by publishing \u201cbest of\u201d articles, posting to high-visibility forums, or embedding brand-tagged phrases in publicly available bios and event listings.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Fishkin himself has acknowledged leveraging legitimate forms of this approach: he carefully phrases his bio (\u201cmakers of fine audience research software\u201d) so that it appears consistently across platforms, reinforcing SparkToro\u2019s association with audience intelligence tools.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">That practice, he argues, is transparent and fair. But when false data or deceptive tactics are introduced, the ethical line blurs fast.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"how-ais-%e2%80%9ctrust%e2%80%9d-can-be-exploited\"><\/span><b>How AI\u2019s \u201cTrust\u201d Can Be Exploited<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Traditional search engines evolved over two decades of spam wars \u2014 learning to detect link farms, content stuffing, and fake freshness. LLMs, on the other hand, are still learning to distinguish quality from manipulation.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Their training data and retrieval mechanisms often lack the same kind of anti-spam systems that power Google\u2019s ranking algorithms.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">So when a piece of content claims to be \u201crecent,\u201d or is heavily discussed on Reddit or YouTube, the model treats that as a strong credibility signal, even if it\u2019s artificially boosted.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This is why some SEO agencies are already experimenting with publishing large numbers of \u201cbest X software\u201d articles, cross-posted across low-quality websites and Substacks, to sway LLM outputs.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In the short term, it works. In the long term, it risks polluting AI-generated information ecosystems.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"industry-reactions-%e2%80%9ca-wake-up-call%e2%80%9d\"><\/span><b>Industry Reactions: \u201cA Wake-Up Call\u201d<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Experts across digital marketing and AI research view these findings as a wake-up call for both industries.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u201cAI models are becoming new gatekeepers of visibility,\u201d says Chris Long, an SEO researcher who ran related experiments on publication dates. \u201cIf those gatekeepers can be fooled this easily, we have a serious transparency problem.\u201d<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The issue isn\u2019t limited to commercial visibility. Public information, from medical advice to political analysis, can also be affected by manipulative patterns that amplify certain narratives.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">AI ethicists argue that algorithmic trust must be earned, not gamed. They urge model developers to improve content validation, and for users to maintain critical awareness when reading AI-generated answers.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Fishkin, while condemning spam tactics, remains pragmatic: \u201cThese systems reflect the incentives we build into them. If AI tools prioritize recency and repetition, people will optimize for that. It\u2019s human nature.\u201d<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"the-economic-stakes\"><\/span><b>The Economic Stakes<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">The ability to appear in AI-generated answers is no small matter. As more users turn to chat-based search experiences, traditional web traffic from Google is declining. Brands that manage to surface in AI responses can capture audience attention before a single click happens.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In this new environment, visibility equals survival. Companies are already investing in AI answer optimization, a term rapidly replacing \u201c<\/span><a href=\"https:\/\/www.stanventures.com\/blog\/seo-checklist\/\"><span style=\"font-weight: 400;\">SEO<\/span><\/a><span style=\"font-weight: 400;\">\u201d in industry conversations.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">But unlike traditional search optimization, the metrics here are opaque. There are no <\/span><a href=\"https:\/\/www.stanventures.com\/blog\/ctr\/\"><span style=\"font-weight: 400;\">click-through rates<\/span><\/a><span style=\"font-weight: 400;\">, no <\/span><a href=\"https:\/\/www.stanventures.com\/blog\/how-important-are-backlinks\/\"><span style=\"font-weight: 400;\">backlinks<\/span><\/a><span style=\"font-weight: 400;\"> to measure, and no clear path to audit bias. Instead, marketers are working in a gray area defined by experimentation, speculation, and limited data access.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Fishkin\u2019s research provides rare empirical insight into that process, one that\u2019s likely to grow in significance as AI-driven search expands.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"the-human-cost-of-manipulation\"><\/span><b>The Human Cost of Manipulation<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Beyond the marketing arms race, the CodeSmith story features a deeper consequence: real-world harm.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">When misinformation or malicious campaigns spread unchecked through online platforms, and AI tools replicate those biases, the fallout isn\u2019t abstract. Companies lose livelihoods. Workers lose jobs. Users lose trust in digital information.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The ease with which such manipulation can occur suggests that AI models have inherited the web\u2019s vulnerabilities without its checks and balances.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Unless addressed, the next generation of online discovery could become an even more fragile mirror of public opinion.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"what-can-be-done\"><\/span><b>What Can Be Done<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Experts suggest several immediate steps to mitigate the risks:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>For AI developers:<\/b><span style=\"font-weight: 400;\"> Strengthen validation filters that distinguish genuine recency from artificial date manipulation.<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><b>For marketers:<\/b><span style=\"font-weight: 400;\"> Prioritize authenticity. Use consistent, factual brand descriptions instead of mass content production.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>For users:<\/b><span style=\"font-weight: 400;\"> Cross-verify AI-generated recommendations, especially in high-stakes decisions such as education, finance, or healthcare.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>For regulators:<\/b><span style=\"font-weight: 400;\"> Encourage transparency in how AI tools select and present commercial recommendations.<\/span><\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"actionable-insights-for-readers\"><\/span><b>Actionable Insights for Readers<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Here\u2019s how individuals and brands can act responsibly while improving their AI visibility:<\/span><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Use accurate metadata.<\/b><span style=\"font-weight: 400;\"> Keep publication dates and author details honest. AI tools reward clarity.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Be present where credibility lives.<\/b><span style=\"font-weight: 400;\"> Reddit and YouTube remain key influence sources, but engage genuinely, not through manipulation.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Maintain content freshness naturally.<\/b><span style=\"font-weight: 400;\"> Update articles with meaningful new information, not cosmetic date changes.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Audit your brand mentions.<\/b><span style=\"font-weight: 400;\"> Track how your company is described across the web and correct misinformation promptly.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Educate your team.<\/b><span style=\"font-weight: 400;\"> Train marketing staff to recognize the ethical and reputational risks of AI manipulation.<\/span><\/li>\n<\/ol>\n<h2><span class=\"ez-toc-section\" id=\"key-takeaways\"><\/span><b>Key Takeaways<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Large language models favor brands with frequent and recent online mentions.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Reddit and YouTube significantly influence AI-generated recommendations.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Falsified \u201cfresh\u201d content can boost visibility but undermines credibility.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Ethical concerns are rising as manipulation affects real businesses.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\">Transparency and authenticity remain the most sustainable long-term strategy.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>New research reveals that large language models, such as ChatGPT, Gemini, and Claude, are susceptible to influence from brand mentions, freshness signals, and social chatter, thereby opening the door to manipulation and raising concerns about fairness in AI-driven search. A recent investigation led by marketer and SparkToro co-founder Rand Fishkin has shed light on how [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":4787,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[15],"tags":[],"class_list":["post-4786","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>How Brands Influence AI Answers and Shape What You See - Stan Ventures<\/title>\n<meta name=\"description\" content=\"AI Answers favor brands with fresh, frequent mentions. New research reveals how marketers manipulate visibility in ChatGPT and similar tools.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.stanventures.com\/news\/how-brands-influence-ai-answers-and-shape-what-you-see-4786\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How Brands Influence AI Answers and Shape What You See - Stan Ventures\" \/>\n<meta property=\"og:description\" content=\"AI Answers favor brands with fresh, frequent mentions. 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