{"id":811,"date":"2026-09-24T09:15:07","date_gmt":"2026-09-24T07:15:07","guid":{"rendered":"https:\/\/aeloapp.io\/?p=811"},"modified":"2026-09-24T09:30:28","modified_gmt":"2026-09-24T07:30:28","slug":"why-does-ai-give-a-different-answer-every-time","status":"publish","type":"post","link":"https:\/\/aeloapp.io\/en\/blog\/dlaczego-ai-za-kazdym-razem-odpowiada-inaczej\/","title":{"rendered":"Why does AI give a different answer every time, and what does this mean for measurement?"},"content":{"rendered":"<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"571\" src=\"https:\/\/aeloapp.io\/wp-content\/uploads\/2026\/09\/aelo-hero-zmiennosc-1024x571.jpg\" alt=\"A network of connections on a dark background; on the left, scattered points; on the right, a dense, luminous cluster with one larger node \u2013 a symbol of the brand regularly cited in the AI\u2019s responses, despite the variability of the results.\" class=\"wp-image-812\" srcset=\"https:\/\/aeloapp.io\/wp-content\/uploads\/2026\/09\/aelo-hero-zmiennosc-1024x571.jpg 1024w, https:\/\/aeloapp.io\/wp-content\/uploads\/2026\/09\/aelo-hero-zmiennosc-300x167.jpg 300w, https:\/\/aeloapp.io\/wp-content\/uploads\/2026\/09\/aelo-hero-zmiennosc-767x428.jpg 767w, https:\/\/aeloapp.io\/wp-content\/uploads\/2026\/09\/aelo-hero-zmiennosc-18x10.jpg 18w, https:\/\/aeloapp.io\/wp-content\/uploads\/2026\/09\/aelo-hero-zmiennosc.jpg 1079w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">This text is part of the guide <a href=\"https:\/\/aeloapp.io\/en\/knowledge\/widocznosc-marki-w-ai\/\">Brand visibility in AI: how it works and how to measure it<\/a>.<\/p>\n\n\n\n<h2 id=\"h-jak-bardzo-roznia-sie-odpowiedzi-na-to-samo-pytanie\" class=\"wp-block-heading\">How much do the answers to the same question differ?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">More than most marketers realise. <a href=\"https:\/\/sparktoro.com\/blog\/new-research-ais-are-highly-inconsistent-when-recommending-brands-or-products-marketers-should-take-care-when-tracking-ai-visibility\/\">A study by SparkToro and Gumshoe.ai<\/a> From the start of 2026, the study involved 600 volunteers, 12 questions and 2,961 queries in ChatGPT, Claude and Google\u2019s AI search function. The questions concerned, amongst other things, kitchen knives, headphones, cancer hospitals and marketing consultants (<a href=\"https:\/\/searchengineland.com\/ai-recommendation-lists-rarely-repeat-study-468076\">a feature on Search Engine Land<\/a>).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Results:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>the chance that ChatGPT or Google\u2019s AI would provide the same list of brands in two different replies was less than 1 in 100,<\/li>\n\n\n\n<li>the same list in the same order appeared roughly once in every 1,000 attempts,<\/li>\n\n\n\n<li>The length of the list also varied: sometimes the model would list 2\u20133 brands, and just as often 10 or more,<\/li>\n\n\n\n<li>Claude tended to repeat the same set of brands slightly more often, but even less frequently in the same order.<\/li>\n<\/ul>\n\n\n\n<pre class=\"wp-block-code\"><code><\/code><\/pre>\n\n\n\n<link href=\"https:\/\/fonts.googleapis.com\/css2?family=Playfair+Display:wght@400&#038;family=Nunito+Sans:wght@400;600;700&#038;display=swap\" rel=\"stylesheet\">\n<style>\n.aels{container-type:inline-size;margin:32px 0;font-family:'Nunito Sans',system-ui,sans-serif;line-height:normal}\n.aels *{box-sizing:border-box}\n.aels-card{background:radial-gradient(circle at 0% 0%,#22242A 0%,#101216 80%);border:1px solid #2E323A;border-radius:clamp(14px,2cqi,20px);padding:clamp(22px,4.6cqi,52px)}\n.aels-in{display:flex;flex-direction:column;gap:clamp(24px,3.6cqi,40px)}\n.aels-head{display:flex;flex-direction:column;gap:clamp(10px,1.4cqi,16px)}\n.aels-k{font-size:clamp(11px,1.2cqi,14px);font-weight:700;letter-spacing:.14em;color:#3BBFA0}\n.aels-h{font-family:'Playfair Display',Georgia,serif;font-weight:400;font-size:clamp(26px,4.4cqi,54px);line-height:1.1;letter-spacing:-.01em;color:#F5F6F8}\n.aels-s{font-size:clamp(15px,1.6cqi,19px);line-height:1.5;color:#F5F6F8}\n.aels-grid{list-style:none;margin:0;padding:0;display:flex;flex-wrap:wrap;gap:clamp(12px,1.8cqi,20px)}\n.aels-t{flex:1 1 200px;min-width:0;background:#20232A;border:1px solid #2E323A;border-radius:clamp(12px,1.6cqi,18px);padding:clamp(20px,3cqi,34px);display:flex;flex-direction:column;gap:clamp(8px,1.2cqi,14px)}\n.aels-t.hi{border-color:#3BBFA0;box-shadow:0 0 40px rgba(59,191,160,.14)}\n.aels-num{font-family:'Playfair Display',Georgia,serif;font-size:clamp(30px,4.2cqi,56px);line-height:1;color:#F5F6F8;white-space:nowrap}\n.aels-cap{font-size:clamp(14px,1.4cqi,17px);line-height:1.45;color:#F5F6F8}\n.aels-foot{display:flex;flex-wrap:wrap;align-items:baseline;gap:8px 24px}\n.aels-fn{font-size:clamp(13px,1.25cqi,15px);line-height:1.5;color:#C6C8CF;flex:1 1 260px}\n.aels-foot>span{margin-left:auto;font-size:clamp(13px,1.25cqi,15px);color:#F5F6F8}\n@container (max-width:600px){.aels-foot>span{margin-left:0}}\n<\/style>\n<figure class=\"aels\" aria-label=\"The same list of brands appearing in two responses occurs less than once in every 100, and the same list in the exact same order less than once in every 1,000; the length of the list ranges from 2 to over 10 brands\">\n <div class=\"aels-card\"><div class=\"aels-in\">\n  <div class=\"aels-head\">\n   <div class=\"aels-k\">THE SAME LIST, TWICE<\/div>\n   <div class=\"aels-h\">Less than once in a hundred<\/div>\n   <div class=\"aels-s\">The same question, repeated many times in the same pattern.<\/div>\n  <\/div>\n  <ul class=\"aels-grid\">\n   <li class=\"aels-t hi\"><span class=\"aels-num\">1 in 100<\/span><span class=\"aels-cap\">the same list of brands<\/span><\/li>\n   <li class=\"aels-t\"><span class=\"aels-num\">1 in 1,000<\/span><span class=\"aels-cap\">the same list in the same order<\/span><\/li>\n   <li class=\"aels-t\"><span class=\"aels-num\">2 to 10+<\/span><span class=\"aels-cap\">So many brands give one answer one time and another answer the next<\/span><\/li>\n  <\/ul>\n  <div class=\"aels-foot\"><div class=\"aels-fn\">A study by SparkToro and Gumshoe.ai, 2,961 launches across three models.<\/div><span>aeloapp.io<\/span><\/div>\n <\/div><\/div>\n<\/figure>\n\n\n\n<h2 id=\"h-skad-bierze-sie-ta-zmiennosc\" class=\"wp-block-heading\">Where does this volatility come from?<\/h2>\n\n\n\n<h3 id=\"h-losowanie-przy-generowaniu-tekstu\" class=\"wp-block-heading\">Randomisation during text generation<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">The model constructs its response word by word, selecting each word from a probability distribution. In chat conversations, this selection process includes an element of randomness, which makes the text sound natural. A side effect of this is that, when two brands are equally likely, one wins one time and the other the next.<\/p>\n\n\n\n<h3 id=\"h-inne-wyszukiwania-przy-kazdym-uruchomieniu\" class=\"wp-block-heading\">Other searches every time the programme is launched<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">When the chatbot uses the internet, it breaks the question down into sub-queries. The next time it runs, it may generate different queries, retrieve different web pages and cite different sources. In <a href=\"https:\/\/www.airops.com\/report\/influence-of-retrieval-fanout-and-google-serps-in-chatgpt\">the AirOps study<\/a> ChatGPT cited only 15% pages that it had retrieved, so the very selection of sources for the response is itself a form of selection. The mechanism is described in the text <a href=\"https:\/\/aeloapp.io\/en\/blog\/how-ai-chatbots-select-brands-to-respond-to\/\">How AI chatbots choose the brands they recommend<\/a>.<\/p>\n\n\n\n<h3 id=\"h-rozne-funkcje-tej-samej-platformy\" class=\"wp-block-heading\">Different functions of the same platform<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">AI Mode and AI Overviews on Google are two different products. Google points out in <a href=\"https:\/\/developers.google.com\/search\/docs\/appearance\/ai-features\">Search Central documentation<\/a>, \u2026that they may use different models and techniques, so they display different results and links. According to Ahrefs data from December 2025, for the same query, they cite different sources in 87% cases (<a href=\"https:\/\/www.searchenginejournal.com\/ai-recommendations-change-with-nearly-every-query-sparktoro\/566242\/\">a feature in Search Engine Journal<\/a>).<\/p>\n\n\n\n<h3 id=\"h-konto-pamiec-i-lokalizacja\" class=\"wp-block-heading\">Account, storage and location<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">A logged-in user with a chat history, <a href=\"https:\/\/help.openai.com\/en\/articles\/8590148-memory-faq\">ChatGPT\u2019s memory<\/a> and, based on their set location, receives a different response to someone in <a href=\"https:\/\/help.openai.com\/en\/articles\/8914046-temporary-chat-faq\">temporary chat<\/a>. When it comes to local services, the difference can be significant, which is why companies operating in a single town or city should check for queries containing the name of the locality (more on the website <a href=\"https:\/\/aeloapp.io\/en\/for-whom\/for-small-businesses\/\">Aelo for small businesses<\/a>).<\/p>\n\n\n\n<h3 id=\"h-aktualizacje-modeli-i-indeksow\" class=\"wp-block-heading\">Updates to models and indices<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Providers change their models and search methods without warning, and website indexes are updated daily. <a href=\"https:\/\/lilyraynyc.substack.com\/p\/what-we-can-learn-from-evolving-chatgpt\">Lily Ray describes<\/a>, how ChatGPT\u2019s supporting queries and the sources it uses have changed in 2026. A result from a month ago may look different today, even though nothing has changed on your website.<\/p>\n\n\n\n<h2 id=\"h-co-w-odpowiedziach-ai-pozostaje-stale\" class=\"wp-block-heading\">What remains constant in AI responses?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The pool of brands from which consumers choose. In the SparkToro survey, the leading brands in the headphones category appeared in 55\u201377% of the responses, although the order and composition of the lists varied almost every time. In narrow categories, such as cloud computing providers, the biggest players featured in the majority of responses. In broad categories, such as science fiction novels, the results were much more scattered.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The questions themselves also vary. When 142 survey participants wrote their own questions about headphones, their semantic similarity was just 0.081. Customers ask about the same thing in very different ways.<\/p>\n\n\n\n<h2 id=\"h-co-to-oznacza-dla-pomiaru-widocznosci-marki\" class=\"wp-block-heading\">What does this mean for measuring brand visibility?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Since the AI gives a different response every time, the position on the list is not a reliable indicator. A brand that is \u201ethird in ChatGPT\u201d may be seventh the next time you run it, or it may disappear altogether. A meaningful measurement is based on:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>the percentage of responses in which the brand appears,<\/li>\n\n\n\n<li>several versions of each question, as customers phrase them in different ways,<\/li>\n\n\n\n<li>multiple runs across several models, rather than a single attempt in a single chat,<\/li>\n\n\n\n<li>a fixed set of queries and a trend compared on a weekly or monthly basis.<\/li>\n<\/ul>\n\n\n\n<pre class=\"wp-block-code\"><code>\n<\/code><\/pre>\n\n\n\n<link href=\"https:\/\/fonts.googleapis.com\/css2?family=Playfair+Display:wght@400&#038;family=Nunito+Sans:wght@400;600;700&#038;display=swap\" rel=\"stylesheet\">\n<style>\n.aepo{container-type:inline-size;margin:32px 0;font-family:'Nunito Sans',system-ui,sans-serif;line-height:normal}\n.aepo *{box-sizing:border-box}\n.aepo-card{background:radial-gradient(circle at 0% 0%,#22242A 0%,#101216 80%);border:1px solid #2E323A;border-radius:clamp(14px,2cqi,20px);padding:clamp(22px,4.6cqi,52px)}\n.aepo-in{display:flex;flex-direction:column;gap:clamp(24px,3.6cqi,40px)}\n.aepo-head{display:flex;flex-direction:column;gap:clamp(10px,1.4cqi,16px)}\n.aepo-k{font-size:clamp(11px,1.2cqi,14px);font-weight:700;letter-spacing:.14em;color:#3BBFA0}\n.aepo-h{font-family:'Playfair Display',Georgia,serif;font-weight:400;font-size:clamp(26px,4.4cqi,54px);line-height:1.1;letter-spacing:-.01em;color:#F5F6F8}\n.aepo-s{font-size:clamp(15px,1.6cqi,19px);line-height:1.5;color:#F5F6F8}\n.aepo-cols{display:flex;flex-wrap:wrap}\n.aepo-col{flex:1 1 280px;min-width:0;display:flex;flex-direction:column;gap:clamp(14px,2cqi,20px)}\n.aepo-col.left{padding-right:clamp(0px,3cqi,40px);border-right:1px solid #2E323A}\n.aepo-col.right{padding-left:clamp(0px,3cqi,40px)}\n.aepo-lab{font-size:clamp(12px,1.15cqi,13px);font-weight:700;letter-spacing:.12em;color:#C6C8CF}\n.aepo-lab.acc{color:#3BBFA0}\n.aepo-pills{list-style:none;margin:0;padding:0;display:flex;flex-wrap:wrap;align-items:flex-start;gap:12px}\n.aepo-pills li{border:1px solid #2E323A;background:#20232A;border-radius:100px;padding:clamp(8px,1cqi,10px) clamp(14px,1.8cqi,20px);font-size:clamp(15px,1.6cqi,18px);color:#C6C8CF;white-space:nowrap}\n.aepo-pills li.out{border:1px dashed #3A3E45;background:transparent}\n.aepo-note{font-size:clamp(15px,1.6cqi,17px);line-height:1.45;color:#F5F6F8;margin-top:clamp(6px,1cqi,10px)}\n.aepo-big{font-family:'Playfair Display',Georgia,serif;font-weight:400;font-size:clamp(34px,5.4cqi,72px);line-height:1.05;color:#F5F6F8;text-shadow:0 0 36px rgba(59,191,160,.45)}\n.aepo-foot{display:flex;flex-wrap:wrap;align-items:baseline;gap:8px 24px}\n.aepo-fn{font-size:clamp(13px,1.25cqi,15px);line-height:1.5;color:#C6C8CF;flex:1 1 260px}\n.aepo-foot>span{margin-left:auto;font-size:clamp(13px,1.25cqi,15px);color:#F5F6F8}\n@container (max-width:620px){\n .aepo-col.left{padding-right:0;border-right:0;border-bottom:1px solid #2E323A;padding-bottom:clamp(20px,4cqi,24px)}\n .aepo-col.right{padding-left:0;padding-top:clamp(20px,4cqi,24px)}\n .aepo-foot>span{margin-left:0}\n}\n<\/style>\n<figure class=\"aepo\" aria-label=\"The brand\u2019s position in a single survey varies from survey to survey: 3rd place, 7th place, not on the list. The percentage remains stable: the brand appears in 63% responses to a fixed set of queries\">\n <div class=\"aepo-card\"><div class=\"aepo-in\">\n  <div class=\"aepo-head\">\n   <div class=\"aepo-k\">WHAT EXACTLY SHOULD BE MEASURED<\/div>\n   <div class=\"aepo-h\">Not the position, but the percentage<\/div>\n   <div class=\"aepo-s\">Running the same query several times produces different lists.<\/div>\n  <\/div>\n  <div class=\"aepo-cols\">\n   <div class=\"aepo-col left\">\n    <div class=\"aepo-lab\">POSITION IN A SINGLE ATTEMPT<\/div>\n    <ul class=\"aepo-pills\"><li>3rd place<\/li><li>7th place<\/li><li class=\"out\">not on the list<\/li><\/ul>\n    <div class=\"aepo-note\">it varies from batch to batch<\/div>\n   <\/div>\n   <div class=\"aepo-col right\">\n    <div class=\"aepo-lab acc\">PERCENTAGE IN MULTIPLE TRIALS<\/div>\n    <div class=\"aepo-big\">in 63% replies<\/div>\n    <div class=\"aepo-note\">stable across a fixed set of queries<\/div>\n   <\/div>\n  <\/div>\n  <div class=\"aepo-foot\"><div class=\"aepo-fn\">A single day\u2019s data represents one sample, not a measurement.<\/div><span>aeloapp.io<\/span><\/div>\n <\/div><\/div>\n<\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">A screenshot from a client or boss with the caption \u201ewe\u2019re not on ChatGPT\u201d is just one example. It proves neither that there is a problem nor that there isn\u2019t one. How to carry out a manual test that provides meaningful results, as described in the text <a href=\"https:\/\/aeloapp.io\/en\/blog\/how-to-check-whether-ai-recommends-your-brand\/\">How to check whether AI recommends your brand<\/a>. The following illustrates what a repeated measurement on the same set of queries looks like: <a href=\"https:\/\/aeloapp.io\/en\/blog\/lime-manufacturer-visibility-ai-case-study\/\">case of a lime manufacturer<\/a>.<\/p>\n\n\n\n<h2 id=\"h-czy-da-sie-wylaczyc-losowosc-odpowiedzi\" class=\"wp-block-heading\">Is it possible to disable the random nature of the answers?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The app user has no control over this. In the API for some models, the temperature parameter can be lowered, which reduces text variability but does not eliminate differences arising from the search. The response from the API may also differ from what the customer sees in the app. When assessing visibility, what matters is what users actually see, as verified through numerous tests.<\/p>\n\n\n\n<h2 id=\"h-jak-mierzyc-widocznosc-mimo-zmiennosci\" class=\"wp-block-heading\">How can visibility be measured despite fluctuations?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Regularly and using the same queries. At Aelo, we do this in the module <a href=\"https:\/\/aeloapp.io\/en\/visibility-in-ai\/\">Visibility<\/a>: we run a set of queries across four models (ChatGPT, Claude, Gemini, Perplexity) at regular intervals and show how the brand\u2019s presence changes over time and relative to the competition. The results are fed into the knowledge graph <a href=\"https:\/\/aeloapp.io\/en\/brand-awareness\/\">Synapsis<\/a>, and on this basis we draw up specific measures in <a href=\"https:\/\/aeloapp.io\/en\/tasks\/\">Tickets<\/a>. It\u2019s up to you to decide which parts of this you\u2019ll put into practice.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Agencies that need to explain to their clients why a single day\u2019s result is not representative will find more information on the website <a href=\"https:\/\/aeloapp.io\/en\/for-whom\/for-agencies\/\">Aelo for agencies<\/a>. The article explains how this measurement differs from Google\u2019s location tracking <a href=\"https:\/\/aeloapp.io\/en\/blog\/visibility-in-ai-and-seo\/\">Visibility in AI and SEO<\/a>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">You can start tracking with a free account. <a href=\"https:\/\/panel.aeloapp.io\/register\/\">Sign up<\/a><\/p>\n\n\n\n<h2 id=\"h-faq\" class=\"wp-block-heading\">FAQ<\/h2>\n\n\n\n<div class=\"schema-faq wp-block-yoast-faq-block\"><div class=\"schema-faq-section\" id=\"faq-question-1790232242916\"><strong class=\"schema-faq-question\">Does ChatGPT always give the same answer to the same question?<\/strong> <p class=\"schema-faq-answer\">No. In a study by SparkToro and Gumshoe.ai, ChatGPT provided the same list of brands in fewer than 1 in 100 attempts. Even when the question is identical, the composition of the list, the order of the brands and the length of the list vary.<\/p> <\/div> <div class=\"schema-faq-section\" id=\"faq-question-1790232249769\"><strong class=\"schema-faq-question\">How many times should the question be repeated to ensure the result is reliable?<\/strong> <p class=\"schema-faq-answer\">In the SparkToro study, each query was run 60\u2013100 times per platform. In a manual test, 5\u201310 repetitions for each model are enough to see whether the brand appears regularly, occasionally or not at all.<\/p> <\/div> <div class=\"schema-faq-section\" id=\"faq-question-1790232256416\"><strong class=\"schema-faq-question\">Given such variability, does measuring visibility make sense?<\/strong> <p class=\"schema-faq-answer\">Yes, if you are measuring the percentage of responses mentioning a brand against a fixed set of queries, rather than its position. The pool of brands from which the model selects is stable: the leading brands in the category under study appeared in 55\u201377% responses.<\/p> <\/div> <div class=\"schema-faq-section\" id=\"faq-question-1790232263473\"><strong class=\"schema-faq-question\">How can one distinguish between variability in responses and an actual change in visibility?<\/strong> <p class=\"schema-faq-answer\">Variability refers to fluctuations between runs of the same query when nothing has changed. A real change is a shift in the percentage of responses mentioning the brand across successive measurements using the same set of queries. If the set of queries changes, results from different days cannot be compared.<\/p> <\/div> <\/div>\n\n\n\n<h2 id=\"h-zrodla\" class=\"wp-block-heading\">Sources<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>SparkToro and Gumshoe.ai, a study on the consistency of brand recommendations in AI (January 2026): <a href=\"https:\/\/sparktoro.com\/blog\/new-research-ais-are-highly-inconsistent-when-recommending-brands-or-products-marketers-should-take-care-when-tracking-ai-visibility\/\">https:\/\/sparktoro.com\/blog\/new-research-ais-are-highly-inconsistent-when-recommending-brands-or-products-marketers-should-take-care-when-tracking-ai-visibility\/<\/a><\/li>\n\n\n\n<li>Search Engine Land, an overview of the SparkToro study (January 2026): <a href=\"https:\/\/searchengineland.com\/ai-recommendation-lists-rarely-repeat-study-468076\">https:\/\/searchengineland.com\/ai-recommendation-lists-rarely-repeat-study-468076<\/a><\/li>\n\n\n\n<li>Search Engine Journal, an analysis of SparkToro\u2019s research and Ahrefs\u2019 data on AI Mode and AI Overviews (January 2026): <a href=\"https:\/\/www.searchenginejournal.com\/ai-recommendations-change-with-nearly-every-query-sparktoro\/566242\/\">https:\/\/www.searchenginejournal.com\/ai-recommendations-change-with-nearly-every-query-sparktoro\/566242\/<\/a><\/li>\n\n\n\n<li>AirOps, report on searches, follow-up queries and citations in ChatGPT (March 2026): <a href=\"https:\/\/www.airops.com\/report\/influence-of-retrieval-fanout-and-google-serps-in-chatgpt\">https:\/\/www.airops.com\/report\/influence-of-retrieval-fanout-and-google-serps-in-chatgpt<\/a><\/li>\n\n\n\n<li>Google Search Central, AI features and your website: <a href=\"https:\/\/developers.google.com\/search\/docs\/appearance\/ai-features\">https:\/\/developers.google.com\/search\/docs\/appearance\/ai-features<\/a><\/li>\n\n\n\n<li>OpenAI, ChatGPT\u2019s memory: <a href=\"https:\/\/help.openai.com\/en\/articles\/8590148-memory-faq\">https:\/\/help.openai.com\/en\/articles\/8590148-memory-faq<\/a><\/li>\n\n\n\n<li>OpenAI, temporary chat: <a href=\"https:\/\/help.openai.com\/en\/articles\/8914046-temporary-chat-faq\">https:\/\/help.openai.com\/en\/articles\/8914046-temporary-chat-faq<\/a><\/li>\n<\/ul>","protected":false},"excerpt":{"rendered":"<p>AI responds differently each time because it generates text with an element of randomness; each time it is run, it may search different sources, and the result also depends on the account, location and model version. The variation is significant: in a study by SparkToro and Gumshoe.ai, ChatGPT and Google\u2019s AI returned the same list of brands in fewer than 1 in 100 repetitions of the same question. What is more consistent is how often a brand appears across multiple responses, and it is precisely this metric that needs to be measured.<\/p>","protected":false},"author":2,"featured_media":812,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_breakdance_hide_in_design_set":false,"_breakdance_tags":"","footnotes":""},"categories":[14],"tags":[],"class_list":["post-811","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-poradniki"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v24.4 (Yoast SEO v28.4) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Dlaczego AI za ka\u017cdym razem odpowiada inaczej<\/title>\n<meta name=\"description\" content=\"Dlaczego AI za ka\u017cdym razem odpowiada inaczej na to samo pytanie, co w odpowiedziach jest sta\u0142e i jak mierzy\u0107 widoczno\u015b\u0107 marki mimo zmienno\u015bci.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/aeloapp.io\/en\/blog\/why-does-ai-give-a-different-answer-every-time\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Dlaczego AI za ka\u017cdym razem odpowiada inaczej\" \/>\n<meta property=\"og:description\" content=\"Dlaczego AI za ka\u017cdym razem odpowiada inaczej na to samo pytanie, co w odpowiedziach jest sta\u0142e i jak mierzy\u0107 widoczno\u015b\u0107 marki mimo zmienno\u015bci.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/aeloapp.io\/en\/blog\/why-does-ai-give-a-different-answer-every-time\/\" \/>\n<meta property=\"og:site_name\" content=\"Aelo\" \/>\n<meta property=\"article:published_time\" content=\"2026-09-24T07:15:07+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-09-24T07:30:28+00:00\" 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