{"id":200190,"date":"2026-07-06T05:00:22","date_gmt":"2026-07-06T10:00:22","guid":{"rendered":"https:\/\/ahrefs.com\/blog\/?p=200190"},"modified":"2026-07-02T09:53:06","modified_gmt":"2026-07-02T14:53:06","slug":"self-promotional-content-ai-seo-experiment","status":"publish","type":"post","link":"https:\/\/ahrefs.com\/blog\/self-promotional-content-ai-seo-experiment\/","title":{"rendered":"Self-Promotional Content Works\u2014Until It Backfires (AI SEO Experiment)"},"content":{"rendered":"<div class=\"intro-txt\">The SEO industry quickly realized that AI can be influenced by self-promotional content, such as product reviews and \u201cbest of\u201d lists. The idea is simple: publish a list that includes your brand, and AI may use it when making recommendations.<\/div>\n<p>Two recent studies looked at how well this&nbsp;works.<\/p>\n<p><a href=\"https:\/\/ahrefs.com\/blog\/best-lists-research\/\">Glen Allsopp analyzed 750 ChatGPT<\/a> prompts and found that \u201cbest [category]\u201d listicles were the most frequently cited source type in AI-generated answers. In other words, AI systems clearly use this content when forming responses.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2025\/12\/prominent-page-types.png\"><\/p>\n<p>However, <a href=\"https:\/\/lilyraynyc.substack.com\/p\/why-calling-yourself-the-best-could\">Lily Ray uncovered an important limitation<\/a>. In Google\u2019s AI Overviews, these listicles were often cited as sources, but the AI would still recommend a different brand. Being cited and being recommended turned out to be two very different things.<\/p>\n<p>Both studies offered only a snapshot in time, and Lily\u2019s research focused solely on Google. That left a bigger question unanswered: across the major AI assistants people use for recommendations\u2014ChatGPT, Gemini, Perplexity, and Copilot\u2014does this tactic actually help get your brand recommended, and does the impact last over&nbsp;time?<\/p>\n<p>Since February 2026, I\u2019ve been tracking a small-scale experiment to find out. Here\u2019s what my data&nbsp;shows.<\/p>\n<div class=\"intro-tok\" id=\"intro_tok\" style=\"display:none;\"><div class=\"intro-title\">Contents<\/div><a href=\"#\" class=\"expand-dots\"><span><\/span><span><\/span><span><\/span><\/a><\/div>\n<div class=\"post-nav-link clearfix\" id=\"section1\"><a class=\"subhead-anchor\" data-tip=\"tooltip__copielink\" rel=\"#section1\"><svg width=\"19\" height=\"19\" viewBox=\"0 0 14 14\" style><g fill=\"none\" fill-rule=\"evenodd\"><path d=\"M0 0h14v14H0z\" \/><path d=\"M7.45 9.887l-1.62 1.621c-.92.92-2.418.92-3.338 0a2.364 2.364 0 0 1 0-3.339l1.62-1.62-1.273-1.272-1.62 1.62a4.161 4.161 0 1 0 5.885 5.884l1.62-1.62L7.45 9.886zM5.527 5.135L7.17 3.492c.92-.92 2.418-.92 3.339 0 .92.92.92 2.418 0 3.339L8.866 8.473l1.272 1.273 1.644-1.643A4.161 4.161 0 1 0 5.897 2.22L4.254 3.863l1.272 1.272zm-.66 3.998a.749.749 0 0 1 0-1.06l2.208-2.206a.749.749 0 1 1 1.06 1.06L5.928 9.133a.75.75 0 0 1-1.061 0z\" style \/><\/g><\/svg><\/a><div class=\"link-text\" data-anchor=\"Key takeaways\" data-section=\"key-takeaways\">\n<h2>Key takeaways<\/h2>\n<ul>\n<li>Self-promotional content <strong>helped a new conference brand<\/strong> get mentioned by AI assistants.<\/li>\n<li>The same kind of self-promotional content <strong>barely moved the needle<\/strong> for an already well-known product.<\/li>\n<li>When AI cited a conference-promoting page, it still skipped that conference<strong> 43% of the time<\/strong>, recommending a competing event featured on the same page instead.<\/li>\n<li>Most AI citations (and the AI mentions they earned) were <strong>temporary<\/strong> and came and went over&nbsp;time.<\/li>\n<li>Self-promotional content seems most useful when <strong>AI has a gap in its understanding<\/strong>: your brand belongs in a specific category, but AI doesn\u2019t consistently mention it there yet. The content can help create that association, but existing brand trust still determines whether AI turns the source into a recommendation.<\/li>\n<\/ul>\n<\/div><\/div>\n<div class=\"recommendation\"><div class=\"recommendation-title\">Methodology<\/div><div class=\"recommendation-content\">\n<ul>\n<li>We published 34 self-promotional pages featuring our AI visibility tool (Ahrefs Brand Radar) and our conference brand (Ahrefs Evolve) on 5 domains: ahrefs.com, bloggerjet.com, blog.timsoulo.com, medium.com, detailed.com.<\/li>\n<li>Self-promotional pages included listicles, reviews, and opinion pieces.<\/li>\n<li>We analyzed 9,886 answers from ChatGPT, Gemini, Perplexity, and Copilot.<\/li>\n<li>There are two ways a page can show up in an AI answer, and they are not the same. Cited means the page is attached as a clickable source. Found means the engine pulled the page in behind the scenes, but did not credit it in the answer. I lead with the cited figures throughout, and pull apart what changes when you also count found pages in a section at the&nbsp;end.<\/li>\n<li>For pages promoting the conference, a mention was counted only when the exact phrase \u201cAhrefs Evolve\u201d appeared. For the pages promoting Ahrefs tools, a mention was counted when \u201cAhrefs\u201d appeared (but not \u201cAhrefs Evolve\u201d).<\/li>\n<li>Data was collected using <a href=\"https:\/\/ahrefs.com\/brand-radar\">Ahrefs Brand Radar<\/a> between February 7 and May 31, 2026 and analyzed using <a href=\"https:\/\/letaido.com\/\">Letaido<\/a>.<\/li>\n<\/ul>\n<\/div><\/div>\n<div class=\"post-nav-link clearfix\" id=\"section1\"><a class=\"subhead-anchor\" data-tip=\"tooltip__copielink\" rel=\"#section1\"><svg width=\"19\" height=\"19\" viewBox=\"0 0 14 14\" style><g fill=\"none\" fill-rule=\"evenodd\"><path d=\"M0 0h14v14H0z\" \/><path d=\"M7.45 9.887l-1.62 1.621c-.92.92-2.418.92-3.338 0a2.364 2.364 0 0 1 0-3.339l1.62-1.62-1.273-1.272-1.62 1.62a4.161 4.161 0 1 0 5.885 5.884l1.62-1.62L7.45 9.886zM5.527 5.135L7.17 3.492c.92-.92 2.418-.92 3.339 0 .92.92.92 2.418 0 3.339L8.866 8.473l1.272 1.273 1.644-1.643A4.161 4.161 0 1 0 5.897 2.22L4.254 3.863l1.272 1.272zm-.66 3.998a.749.749 0 0 1 0-1.06l2.208-2.206a.749.749 0 1 1 1.06 1.06L5.928 9.133a.75.75 0 0 1-1.061 0z\" style \/><\/g><\/svg><\/a><div class=\"link-text\" data-anchor=\"When self-promotional content worked\" data-section=\"when-self-promotional-content-worked\">\n<h2>When self-promotional content worked<\/h2>\n<p>The clearest result came from <a href=\"https:\/\/ahrefsevolve.com\/\">Ahrefs Evolve<\/a>, our new SEO &amp; AEO conference.<\/p>\n<p>Instead of looking only at total brand mentions, I looked at places where a specific AI assistant, answering a specific query, had not mentioned the brand at all during the Feb 7\u201312 baseline.<\/p>\n<p>After the first pages went live on Feb 13, Evolve broke into 72 of those previously empty slots. Of the 72 new Evolve mentions in prompt-engine slots that had been empty before publishing, 82% appeared in answers that cited one of our&nbsp;pages.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/07\/image4.jpg\" alt=\"Bar chart showing 82% of new Ahrefs Evolve mentions in previously empty slots came from answers that cited one of our pages\"><\/p>\n<p>That\u2019s the cleanest evidence that the pages did something. The brand went from absent to present, and four times out of five, our page was the cited source.<\/p>\n<p>Promoting Ahrefs <a href=\"https:\/\/ahrefs.com\/brand-radar\">Brand Radar<\/a> told the opposite story.<\/p>\n<p>Ahrefs was already an established brand, so AI assistants named it across many relevant searches with or without our help. When Ahrefs broke into a previously empty slot, only 6% of those new mentions came from answers that cited one of our pages. The other 94% came from third-party content.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/07\/image1.png\" alt=\"Bar chart showing only 6% of new Ahrefs mentions came from our pages while 94% came from third-party content\"><\/p>\n<p>So the self-promotional pages seemed to matter much more for the new brand than the established one. For Ahrefs Evolve, the content often acted like the bridge between \u201cnot mentioned\u201d and \u201cmentioned.\u201d For Ahrefs Brand Radar, AI already had plenty of other sources to work&nbsp;from.<\/p>\n<p>Copilot was the AI assistant with the most mentions. Evolve went from essentially zero before launch to 39% of Copilot answers in March, 57% in April, and 65% in May. Gemini picked it up too, but less steadily. Perplexity barely moved. ChatGPT never named Evolve for this query at&nbsp;all.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/06\/image12-3.jpg\" alt=\"Line chart of Ahrefs Evolve mentions in Copilot answers rising to 39% in March, 57% in April, 65% in May\"><\/p>\n<p>And just for the record, here are some of the pages I created to promote Brand Radar and Ahrefs Evolve:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/06\/image15-3.png\" alt=\"Examples of self-promotional pages published to promote Ahrefs Brand Radar and Ahrefs Evolve\"><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/06\/image10-1.png\" alt=\"More examples of self-promotional listicle and review pages created for the experiment\"><\/p>\n<\/div><\/div>\n<div class=\"post-nav-link clearfix\" id=\"section1\"><a class=\"subhead-anchor\" data-tip=\"tooltip__copielink\" rel=\"#section1\"><svg width=\"19\" height=\"19\" viewBox=\"0 0 14 14\" style><g fill=\"none\" fill-rule=\"evenodd\"><path d=\"M0 0h14v14H0z\" \/><path d=\"M7.45 9.887l-1.62 1.621c-.92.92-2.418.92-3.338 0a2.364 2.364 0 0 1 0-3.339l1.62-1.62-1.273-1.272-1.62 1.62a4.161 4.161 0 1 0 5.885 5.884l1.62-1.62L7.45 9.886zM5.527 5.135L7.17 3.492c.92-.92 2.418-.92 3.339 0 .92.92.92 2.418 0 3.339L8.866 8.473l1.272 1.273 1.644-1.643A4.161 4.161 0 1 0 5.897 2.22L4.254 3.863l1.272 1.272zm-.66 3.998a.749.749 0 0 1 0-1.06l2.208-2.206a.749.749 0 1 1 1.06 1.06L5.928 9.133a.75.75 0 0 1-1.061 0z\" style \/><\/g><\/svg><\/a><div class=\"link-text\" data-anchor=\"The catch: AI can cite your listicle but recommend someone else from your own list\" data-section=\"the-catch\">\n<h2>The catch: AI can cite your listicle but recommend someone else from your own&nbsp;list<\/h2>\n<p>Getting cited often did not lead to getting recommended by AI assistants\u2014this was the most surprising result of the entire experiment.<\/p>\n<p>Among the answers that cited one of the conference-promoting pages, 43% never mentioned Ahrefs Evolve at&nbsp;all.<\/p>\n<p>The AI used the page as a research source, then recommended other conferences instead. The page got the citation, but the competitor got the recommendation.<\/p>\n<p>This is exactly the pattern Lily Ray found in Google\u2019s AI Overviews, and it showed up here,&nbsp;too.<\/p>\n<p>Pages recommending Ahrefs Brand Radar \u201cbackfired\u201d less often. When AI cited a page about the product, it almost always mentioned it. Among answers that cited one of the Ahrefs tool pages, only 11% failed to mention Ahrefs.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/06\/image16-1-1.jpg\" alt=\"Backfire rate of cited pages: 43% of conference page citations skipped Ahrefs Evolve versus 11% for Ahrefs tool pages\"><\/p>\n<\/div><\/div>\n<div class=\"post-nav-link clearfix\" id=\"section1\"><a class=\"subhead-anchor\" data-tip=\"tooltip__copielink\" rel=\"#section1\"><svg width=\"19\" height=\"19\" viewBox=\"0 0 14 14\" style><g fill=\"none\" fill-rule=\"evenodd\"><path d=\"M0 0h14v14H0z\" \/><path d=\"M7.45 9.887l-1.62 1.621c-.92.92-2.418.92-3.338 0a2.364 2.364 0 0 1 0-3.339l1.62-1.62-1.273-1.272-1.62 1.62a4.161 4.161 0 1 0 5.885 5.884l1.62-1.62L7.45 9.886zM5.527 5.135L7.17 3.492c.92-.92 2.418-.92 3.339 0 .92.92.92 2.418 0 3.339L8.866 8.473l1.272 1.273 1.644-1.643A4.161 4.161 0 1 0 5.897 2.22L4.254 3.863l1.272 1.272zm-.66 3.998a.749.749 0 0 1 0-1.06l2.208-2.206a.749.749 0 1 1 1.06 1.06L5.928 9.133a.75.75 0 0 1-1.061 0z\" style \/><\/g><\/svg><\/a><div class=\"link-text\" data-anchor=\"Do citations last? Most appear only on some days\" data-section=\"do-citations-last\">\n<h2>Do citations last? Most appear only on some&nbsp;days<\/h2>\n<p>One common assumption is that once an AI assistant starts citing a page, that citation becomes part of the answer for&nbsp;good.<\/p>\n<p>The data suggests otherwise. Citations were often temporary. In about one quarter of cases, a page was cited once for a specific query on a specific assistant, then never appeared again. Others flickered in and out: a page could be cited in March, disappear for weeks, then show up again later, even though we hadn\u2019t changed the&nbsp;page.<\/p>\n<p>Even recurring citations were patchy. Between a page\u2019s first and last citation, it was cited on only about one in three eligible days. In other words, getting cited didn\u2019t mean the page had \u201cwon\u201d the answer for good. It often meant it had earned a temporary slot.<\/p>\n<p>Strong domains didn\u2019t solve the problem. Pages on ahrefs.com were cited for longer periods overall, but they still appeared and disappeared frequently.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/06\/image1-4.jpg\" alt=\"Chart showing AI citations were temporary, appearing on only about one in three eligible days between first and last citation\"><\/p>\n<p>The few pages that did last were nearly all on Copilot and in narrow, on-brand conference and \u201calternatives\u201d queries, the same niches the hypothesis below points to. The longest-lasting single combination held a 52-day unbroken run.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/06\/image7-4.jpg\" alt=\"Chart of the longest-lasting citations, concentrated on Copilot in narrow conference and alternatives queries\"><\/p>\n<p>In a separate <a href=\"https:\/\/ahrefs.com\/blog\/ai-overview-change\/\">study of 43,000+ keywords in Google\u2019s AI Overviews<\/a>, we found citations change constantly\u2014only about 54% of cited URLs carried over between consecutive checks, meaning nearly half the sources were new each time. Our page-level flicker across ChatGPT, Gemini, Perplexity, and Copilot is the same phenomenon.<\/p>\n<\/div><\/div>\n<div class=\"post-nav-link clearfix\" id=\"section1\"><a class=\"subhead-anchor\" data-tip=\"tooltip__copielink\" rel=\"#section1\"><svg width=\"19\" height=\"19\" viewBox=\"0 0 14 14\" style><g fill=\"none\" fill-rule=\"evenodd\"><path d=\"M0 0h14v14H0z\" \/><path d=\"M7.45 9.887l-1.62 1.621c-.92.92-2.418.92-3.338 0a2.364 2.364 0 0 1 0-3.339l1.62-1.62-1.273-1.272-1.62 1.62a4.161 4.161 0 1 0 5.885 5.884l1.62-1.62L7.45 9.886zM5.527 5.135L7.17 3.492c.92-.92 2.418-.92 3.339 0 .92.92.92 2.418 0 3.339L8.866 8.473l1.272 1.273 1.644-1.643A4.161 4.161 0 1 0 5.897 2.22L4.254 3.863l1.272 1.272zm-.66 3.998a.749.749 0 0 1 0-1.06l2.208-2.206a.749.749 0 1 1 1.06 1.06L5.928 9.133a.75.75 0 0 1-1.061 0z\" style \/><\/g><\/svg><\/a><div class=\"link-text\" data-anchor=\"Hypothesis: self-promotional content works best when awareness gap, query fit, and trust overlap\" data-section=\"hypothesis\">\n<h2>Hypothesis: self-promotional content works best when awareness gap, query fit, and trust overlap<\/h2>\n<p>Self-promotional content seems to work best when the brand is both a natural fit for the query and plausible enough to belong in the existing consensus.<\/p>\n<p>Across the entire tracking period, the difference between the two conference queries was significant. Evolve appeared in 66.4% of responses to \u201cbest SEO conferences 2026\u201d, but in only 15.8% of responses to \u201cbest marketing conferences 2026\u201d across all AI engines and throughout the tracking period.<\/p>\n<p>SEO conferences are a narrow category where an SEO company, like Ahrefs, clearly belongs. Marketing conferences are much broader. The same pages produced mentions more than four times as often for the more on-brand query.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/06\/image6-3.jpg\" alt=\"Ahrefs Evolve appeared in 66.4% of best SEO conferences answers but only 15.8% of best marketing conferences answers\"><\/p>\n<p>Here\u2019s another piece of evidence supporting the thesis: Ahrefs Evolve was often mentioned as a specialized SEO conference when AI tools answered broader queries about marketing conferences.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/06\/image5-4.jpg\" alt=\"AI tools naming Ahrefs Evolve as a specialized SEO conference when answering broader marketing conference queries\"><\/p>\n<p>Put differently, self-promotional content seems to help most when your brand is a believable answer to the query already.<\/p>\n<p>This isn\u2019t proof, but it gives you a useful test for your own content: Would your brand look like a natural recommendation even if you hadn\u2019t written the page yourself?<\/p>\n<\/div><\/div>\n<div class=\"post-nav-link clearfix\" id=\"section1\"><a class=\"subhead-anchor\" data-tip=\"tooltip__copielink\" rel=\"#section1\"><svg width=\"19\" height=\"19\" viewBox=\"0 0 14 14\" style><g fill=\"none\" fill-rule=\"evenodd\"><path d=\"M0 0h14v14H0z\" \/><path d=\"M7.45 9.887l-1.62 1.621c-.92.92-2.418.92-3.338 0a2.364 2.364 0 0 1 0-3.339l1.62-1.62-1.273-1.272-1.62 1.62a4.161 4.161 0 1 0 5.885 5.884l1.62-1.62L7.45 9.886zM5.527 5.135L7.17 3.492c.92-.92 2.418-.92 3.339 0 .92.92.92 2.418 0 3.339L8.866 8.473l1.272 1.273 1.644-1.643A4.161 4.161 0 1 0 5.897 2.22L4.254 3.863l1.272 1.272zm-.66 3.998a.749.749 0 0 1 0-1.06l2.208-2.206a.749.749 0 1 1 1.06 1.06L5.928 9.133a.75.75 0 0 1-1.061 0z\" style \/><\/g><\/svg><\/a><div class=\"link-text\" data-anchor=\"An interesting nuance: pages AI finds but doesn't cite backfire the most\" data-section=\"cited-vs-found\">\n<h2>An interesting nuance: pages AI finds but doesn\u2019t cite backfire the&nbsp;most<\/h2>\n<p>A page can appear in an AI answer in two ways: as a clickable source (aka a citation), or simply found, pulled into the retrieval pipeline to inform the AI-generated answer, but not shown in the main body as a link. Throughout this piece, I led with the firmer cited numbers. But if you widen the lens to every page that was present, cited, or just found, two of the results shift in interesting ways.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/07\/image2.png\" alt=\"Diagram contrasting a cited page shown as a clickable source versus a found page pulled into the retrieval pipeline but not linked\"><\/p>\n<p>First, the backfire gets worse. Among answers where a conference-promoting page was found but not cited, 74% skipped mentioning Ahrefs Evolve (compared to 43% when a conference-promoting page was&nbsp;cited).<\/p>\n<p>For Ahrefs Brand Radar, the gap was small: 11% cited pages versus 15% found but not cited. I guess the reason is the volume of third-party pages already recommending the product.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/06\/image9-1-2.jpg\" alt=\"Found-but-not-cited conference pages skipped Ahrefs Evolve 74% of the time versus 43% when cited\"><\/p>\n<p>In this dataset, found-but-not-cited conference pages were especially likely to strengthen the existing consensus instead of changing the recommendation in our&nbsp;favor.<\/p>\n<p>Second, whether a present page counts as cited or merely found appears to be influenced by the engine, not the&nbsp;page.<\/p>\n<p>To illustrate, among answers where a conference page was present, Perplexity left 76% of those pages uncited, while ChatGPT left 61%&nbsp;cited.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/06\/image2-4.jpg\" alt=\"Share of present pages left uncredited by engine: Perplexity 76% versus ChatGPT 61%\"><\/p>\n<p>We haven\u2019t tested optimizing pages to take them from \u201cfound\u201d to \u201ccited,\u201d but it appears that we might get different results based on the engine.<\/p>\n<\/div><\/div>\n<div class=\"post-nav-link clearfix\" id=\"section1\"><a class=\"subhead-anchor\" data-tip=\"tooltip__copielink\" rel=\"#section1\"><svg width=\"19\" height=\"19\" viewBox=\"0 0 14 14\" style><g fill=\"none\" fill-rule=\"evenodd\"><path d=\"M0 0h14v14H0z\" \/><path d=\"M7.45 9.887l-1.62 1.621c-.92.92-2.418.92-3.338 0a2.364 2.364 0 0 1 0-3.339l1.62-1.62-1.273-1.272-1.62 1.62a4.161 4.161 0 1 0 5.885 5.884l1.62-1.62L7.45 9.886zM5.527 5.135L7.17 3.492c.92-.92 2.418-.92 3.339 0 .92.92.92 2.418 0 3.339L8.866 8.473l1.272 1.273 1.644-1.643A4.161 4.161 0 1 0 5.897 2.22L4.254 3.863l1.272 1.272zm-.66 3.998a.749.749 0 0 1 0-1.06l2.208-2.206a.749.749 0 1 1 1.06 1.06L5.928 9.133a.75.75 0 0 1-1.061 0z\" style \/><\/g><\/svg><\/a><div class=\"link-text\" data-anchor=\"How I tracked custom prompts and specific pages in Brand Radar\" data-section=\"how-i-tracked-in-brand-radar\">\n<h2>How I tracked custom prompts and specific pages in Brand&nbsp;Radar<\/h2>\n<p>I used three <a href=\"https:\/\/ahrefs.com\/brand-radar\">Brand Radar<\/a> features for this experiment:<\/p>\n<ul>\n<li><strong>Custom prompts<\/strong> let you track how AI assistants answer specific questions over time. I used them for prompts like \u201cbest SEO conferences 2026\u201d and \u201cbest AI SEO&nbsp;tools.\u201d<\/li>\n<li><strong>Watchlists<\/strong> let you monitor specific pages. I added the self-promotional pages we published, so I could see whether they showed up in AI answers.<\/li>\n<li><strong>Cited and found-in tracking<\/strong> shows how those pages appeared. A cited page was shown as a clickable source. A found-in page was retrieved in the background but not displayed as a source.<\/li>\n<\/ul>\n<p>You can use the same setup to test your own content. Add the prompts you care about, add the pages you want to monitor, then compare page visibility in actual brand mentions.<\/p>\n<p>To add custom prompts, click on \u201cTracked prompts\u201d on the left-hand side and then click the \u201cadd prompts\u201d button.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/06\/image11-1-1.jpg\" alt=\"Ahrefs Brand Radar interface showing the Tracked prompts panel and the add prompts button\"><\/p>\n<p>To add pages to a watchlist, click on Cited pages, switch to the Watchlist tab, and click on the \u201cAdd pages\u201d button.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/06\/image14-3.png\" alt=\"Adding pages to a Brand Radar watchlist from the Cited pages Watchlist tab\"><\/p>\n<p>Once your data starts collecting, click on the Cited pages report to see where your pages were found or&nbsp;cited.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/06\/image3-3.png\" alt=\"Brand Radar Cited pages report showing where tracked pages were found or cited\"><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/06\/image8-4.png\" alt=\"Brand Radar Cited pages report detail view of page visibility across AI assistants\"><\/p>\n<p>You can also do this by asking <a href=\"https:\/\/letaido.com\/\">Letaido<\/a>. You can create a document with your prompts and pages to watch, then ask the AI something like&nbsp;this:<\/p>\n<div class=\"recommendation\"><div class=\"recommendation-title\">Try this prompt<\/div><div class=\"recommendation-content\">\n<em>Create a new Brand Radar project. Start tracking the custom prompts from the attached list, all indexes weekly basis. Also, add the attached URLs to the Watch list inside that project.<\/em><br>\n<\/div><\/div>\n<p><img decoding=\"async\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2026\/06\/image4-1.png\" alt=\"Asking Letaido to create a Brand Radar project, track custom prompts, and add URLs to a watchlist\"><\/p>\n<\/div><\/div>\n<div class=\"post-nav-link clearfix\" id=\"section1\"><a class=\"subhead-anchor\" data-tip=\"tooltip__copielink\" rel=\"#section1\"><svg width=\"19\" height=\"19\" viewBox=\"0 0 14 14\" style><g fill=\"none\" fill-rule=\"evenodd\"><path d=\"M0 0h14v14H0z\" \/><path d=\"M7.45 9.887l-1.62 1.621c-.92.92-2.418.92-3.338 0a2.364 2.364 0 0 1 0-3.339l1.62-1.62-1.273-1.272-1.62 1.62a4.161 4.161 0 1 0 5.885 5.884l1.62-1.62L7.45 9.886zM5.527 5.135L7.17 3.492c.92-.92 2.418-.92 3.339 0 .92.92.92 2.418 0 3.339L8.866 8.473l1.272 1.273 1.644-1.643A4.161 4.161 0 1 0 5.897 2.22L4.254 3.863l1.272 1.272zm-.66 3.998a.749.749 0 0 1 0-1.06l2.208-2.206a.749.749 0 1 1 1.06 1.06L5.928 9.133a.75.75 0 0 1-1.061 0z\" style \/><\/g><\/svg><\/a><div class=\"link-text\" data-anchor=\"Final thoughts\" data-section=\"final-thoughts\">\n<h2>Final thoughts<\/h2>\n<p>The experiment suggests that self-promotional content can give free exposure to competitors, and any citations or mentions you gain may be short-lived. But at the same time, the results indicate that the approach can have some impact. So, if you decide to experiment with this tactic, here are a few principles for doing it ethically:<\/p>\n<ul>\n<li><strong>Add yourself to the right contexts, but don\u2019t crown yourself.<\/strong> Let\u2019s say you\u2019re promoting a conference as we did. If your event is a real SEO conference with speakers, dates, and a clear audience, but it\u2019s missing from the lists AI assistants pull from, there\u2019s nothing wrong with adding it to a \u201cSEO conferences\u201d roundup or a comparison page that explains where it fits. The problem starts when you position yourself as \u201cthe best\u201d or park yourself at the top of a list you wrote\u2014that\u2019s the self-promotional signal AI assistants (and readers) learn to discount. Fill the gap accurately; don\u2019t manufacture a ranking.<\/li>\n<li><strong>Create authentic content.<\/strong> Publish factual, useful content in areas where you have genuine expertise. The goal is to help fill knowledge gaps in your&nbsp;niche.<\/li>\n<li><strong>Don\u2019t badmouth competitors.<\/strong> This strategy doesn\u2019t require attacking other brands. Marketers should focus on adding value, not tearing others down\u2014and this should be a new social contract among&nbsp;us.<\/li>\n<li><strong>Fact-check manually.<\/strong> AI often relies on content that references other articles rather than original sources. Verify claims yourself and keep competitor comparisons accurate and up to date. In fact, regular updates improve accuracy for readers and may increase AI visibility, as AI systems often favor current information.<\/li>\n<\/ul>\n<p>Finally, watch out for the documentation tax. Creating all that content is only half the battle. Keeping it accurate and up to date can quickly become a burden unless you build automation into the process from the start. If you don\u2019t, those outdated pages can end up feeding AI inaccurate information about both your business and your competitors. We actually had this problem recently and <a href=\"https:\/\/ahrefs.com\/blog\/taught-agent-to-refresh-data-content\/\">fixed it with AI<\/a>.<\/p>\n<p>Thanks for reading! If you enjoyed this, come say hi on <a href=\"https:\/\/www.linkedin.com\/in\/mateusz-makosiewicz\/\">LinkedIn<\/a> or <a href=\"https:\/\/substack.com\/@mateuszmakosiewicz\">Substack<\/a>.<\/p>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Two recent studies looked at how well this&nbsp;works. Glen Allsopp analyzed 750 ChatGPT prompts and found that \u201cbest [category]\u201d listicles were the most frequently cited source type in AI-generated answers. In other words, AI systems clearly use this content when<span class=\"ellipsis\">\u2026<\/span><\/p>\n<div class=\"read-more\">Read more \u203a<\/div>\n<p><!-- end of .read-more --><\/p>\n","protected":false},"author":159,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"wp_typography_post_enhancements_disabled":false,"footnotes":""},"categories":[469,414],"tags":[],"coauthors":[412],"class_list":["post-200190","post","type-post","status-publish","format-standard","hentry","category-ai-search","category-data-studies","odd"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Self-Promotional Content Works\u2014Until It Backfires (AI SEO Experiment)<\/title>\n<meta name=\"description\" content=\"Self-promotional content can get your page cited by AI\u2014then recommend a competitor instead. 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