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Policy","Pixis",{"uri":389,"id":390,"title":391,"url":392,"postDate":393,"dateUpdated":394,"slug":395,"sectionHandle":396,"type":397,"authors":398,"seo":414,"asset":425,"categories":433,"intro":9,"contentArea":440,"articleSelect":446,"siteName":387},"blog\u002Fdo-infographics-improve-ai-visibility-what-the-research-actually-says","35232","Do Infographics Improve AI Visibility? What the Research Actually Says","https:\u002F\u002Fpixis.ai\u002Fblog\u002Fdo-infographics-improve-ai-visibility-what-the-research-actually-says\u002F","2026-07-16T04:19:00-04:00","2026-07-16T04:19:10-04:00","do-infographics-improve-ai-visibility-what-the-research-actually-says","blog","blog_Entry",[399],{"fullName":400,"asset":401,"position":409,"bio":410,"linkedIn":411,"authorPage":413},"Bhavika Parlani",[402],{"type":27,"image":403,"mobileImage":408},[404],{"src":405,"alt":9,"width":406,"height":407},"https:\u002F\u002Fd191k2rrohvvg6.cloudfront.net\u002Fimages\u002FScreenshot-2026-06-22-at-7.03.56-PM.png",1500,1122,[],"Associate Product Marketing","\u003Cp>Bhavika sits at the sweet spot between product, marketing, and storytelling. With a Master’s in Marketing from Alliance Manchester Business School, The University of Manchester, she brings experience across AI GTM, B2B SaaS, and product narratives. Her work focuses on making AI-led advertising products easier for performance teams to understand, evaluate, and use in a market that seems to change every other week. Bhavika is part of the Product Marketing team at Pixis.\u003C\u002Fp>",{"url":412},"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fbhavika-parlani\u002F",[],{"title":415,"description":416,"advanced":417,"keywords":420,"social":421},"Do Infographics Improve AI Visibility? | Pixis","No study has measured citation lift from infographics. Here is what the research does show about visual content, backlinks, and AI visibility.  ",{"canonical":418,"robots":419},"",[],[],{"facebook":422,"twitter":424},{"description":423,"title":415},"No study has measured citation lift from infographics. Here is what the research does show about visual content, backlinks, and AI visibility.",{"description":423,"title":415},[426],{"type":27,"image":427,"mobileImage":432},[428],{"src":429,"alt":9,"width":430,"height":431},"https:\u002F\u002Fd191k2rrohvvg6.cloudfront.net\u002Fimages\u002Fimage-93.png",1920,1360,[],[434,437],{"title":435,"slug":436},"SEO\u002FAEO\u002FGEO","seo-aeo-geo",{"title":438,"slug":439},"Pixis Visibility","pixis-visibility",[441],{"blocks":442},[443],{"type":444,"textBlock":445},"textBlock_Entry","\u003Cp>Search the phrase and you will find it everywhere: infographics deliver 25 to 35% more AI citations than text alone. It appears in agency decks, vendor blogs, and content strategy briefs. It has the shape of a finding.\u003C\u002Fp>\u003Cp>There is no study behind it.\u003C\u002Fp>\u003Cp>Not a small study, not a flawed study. Nothing. No published research has measured citation rates for content with infographics against a text-only contrcaol. The number appears to be a real figure about something else, structured data, repointed at visuals and repeated until it looked sourced. Its companion stat has the same problem: the claim that infographics generate 178% more inbound links traces back through a chain of roundups to a single vendor infographic from 2012, and even \u003Ca href=\"https:\u002F\u002Fbacklinko.com\u002Fcontent-marketing-stats\">the source most often credited for it\u003C\u002Fa> is not the origin.\u003C\u002Fp>\u003Cp>This matters more than a bad citation. The two numbers together form the entire case for infographics as an AI visibility tactic, and when you pull them out, the argument does not just weaken. It inverts.\u003C\u002Fp>\u003Cp>Infographics are worth making. The reasons have almost nothing to do with getting cited by AI.\u003C\u002Fp>\u003Ch2>\u003Cstrong>Key Takeaways\u003C\u002Fstrong>\u003C\u002Fh2>\u003Cul>\u003Cli>No published research measures AI citation lift from infographics. The widely quoted 25 to 35% figure has no study behind it, and the 178% backlinks figure traces to a 2012 vendor graphic whose own attributed source concedes the effect is declining.\u003C\u002Fli>\u003Cli>The foundational GEO study tested nine content modifications for citation lift. \u003Ca href=\"https:\u002F\u002Farxiv.org\u002Fabs\u002F2311.09735\">Every one was a text intervention\u003C\u002Fa>. Images were not tested, because the engines were reading words.\u003C\u002Fli>\u003Cli>Backlinks correlate with AI visibility at 0.218, near the bottom of everything \u003Ca href=\"https:\u002F\u002Fahrefs.com\u002Fblog\u002Fai-overview-brand-correlation\u002F\">Ahrefs measured across 75,000 brands\u003C\u002Fa>. The link-building case for infographics does not carry over to AI citation.\u003C\u002Fli>\u003Cli>The strongest AI visibility signal anyone has measured is YouTube mentions at roughly 0.737, and the mechanism is the transcript. Even the visual medium that correlates does so through its words.\u003C\u002Fli>\u003Cli>Infographics earn links, hold attention, and rank in image search. Make them for those reasons. The text around them is what gets cited.\u003C\u002Fli>\u003Cli>\u003Ca href=\"https:\u002F\u002Fpixis.ai\u002Fproducts\u002Fpixis-visibility\u002F\">Pixis Visibility\u003C\u002Fa> tracks which of your pages actually earn citations across ChatGPT, Perplexity, Gemini, and Claude, so you can see what moved your numbers rather than trusting a stat someone put in a deck.\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>\u003Cstrong>What the Research Actually Tested\u003C\u002Fstrong>\u003C\u002Fh2>\u003Cp>The term Generative Engine Optimization comes from a paper. \u003Ca href=\"https:\u002F\u002Farxiv.org\u002Fabs\u002F2311.09735\">Aggarwal, Murahari, Rajpurohit, Kalyan, Narasimhan and Deshpande published it at KDD 2024\u003C\u002Fa>, building GEO-bench, a benchmark of roughly 10,000 queries across multiple domains, then testing nine content modifications to see which ones lifted a source’s visibility in generated answers.\u003C\u002Fp>\u003Cp>The nine: adding statistics, citing sources, adding quotations, fluency optimisation, authoritative voice, technical terminology, keyword stuffing, unique words, and simplification.\u003C\u002Fp>\u003Cp>Read that list again. Every intervention is textual. Not one involves an image, a chart, or a visual asset of any kind. The study that named the discipline, built its benchmark, and established what makes content citable never tested a picture.\u003C\u002Fp>\u003Cp>The results were clear about what did work. Statistics and quotations produced the strongest gains, with the paper reporting visibility improvements of up to 40%. Keyword stuffing, the old SEO reflex, performed poorly.\u003C\u002Fp>\u003Cp>Three caveats belong with those numbers, and most retellings drop all three. The engine was simulated rather than live, though the authors validated on Perplexity. The 40% is a maximum, not an average, measured when an intervention was applied to a page that lacked it entirely. And the work has a 2024 cutoff. The paper also notes that efficacy varies by domain, which means a single universal tactic list was never the finding.\u003C\u002Fp>\u003Cp>The 25 to 35% in circulation is a distorted echo of this paper. Real numbers, real research, attributed to the one thing it did not measure.\u003C\u002Fp>\u003Ch2>\u003Cstrong>The Backlink Bridge Does Not Hold\u003C\u002Fstrong>\u003C\u002Fh2>\u003Cp>Set the citation question aside and take the argument at its strongest. Infographics earn backlinks. Backlinks build authority. Authority drives AI visibility. Each step sounds reasonable.\u003C\u002Fp>\u003Cp>The last step is where it breaks. Ahrefs \u003Ca href=\"https:\u002F\u002Fahrefs.com\u002Fblog\u002Fai-overview-brand-correlation\u002F\">studied 75,000 brands in May 2025\u003C\u002Fa>, measuring which factors correlate with brand mentions in AI Overviews. Backlinks came in at 0.218. For comparison, branded web mentions correlated at 0.664, branded anchors at 0.527, and branded search volume at 0.392. Backlinks sat below branded traffic and barely above ad spend.\u003C\u002Fp>\u003Cp>A \u003Ca href=\"https:\u002F\u002Fahrefs.com\u002Fblog\u002Fai-brand-visibility-correlations\u002F\">December 2025 follow-up extended the analysis\u003C\u002Fa> to ChatGPT and AI Mode and found the same thing: very weak correlations between link metrics and brand mentions across all three systems, and almost no relationship between the number of pages on a site and AI visibility.\u003C\u002Fp>\u003Cp>So the infographic link-building case is real and it is an SEO case. It does not extend to AI citation, because the thing it produces is the thing AI engines weigh least.\u003C\u002Fp>\u003Cp>Ahrefs is careful to say correlation is not causation, and that all the factors they measured showed moderate to very weak correlations. Their point is not that links are worthless. It is that the signals AI engines respond to are not the ones link building produces.\u003C\u002Fp>\u003Ch2>\u003Cstrong>The Exception That Proves the Rule\u003C\u002Fstrong>\u003C\u002Fh2>\u003Cp>There is one visual format with a measured relationship to AI visibility, and it is the most interesting finding in this entire body of research. In the \u003Ca href=\"https:\u002F\u002Fahrefs.com\u002Fblog\u002Fai-brand-visibility-correlations\u002F\">December study\u003C\u002Fa>, YouTube mentions correlated with AI visibility at roughly 0.737, the strongest single signal Ahrefs tested, holding across ChatGPT, AI Mode, and AI Overviews.\u003C\u002Fp>\u003Cp>Video. The most visual medium there is.\u003C\u002Fp>\u003Cp>Now look at what a YouTube mention means in that study. It counts when a brand name appears in a video title, transcript, or description. Not when the brand appears on screen. Not when the logo is visible in the footage. When the name is written or spoken.\u003C\u002Fp>\u003Cp>The mechanism confirms it. Ahrefs notes that both Google and OpenAI trained models on YouTube transcripts, and that OpenAI’s GPT-4 was reported to have trained on over a million hours of them. The video correlates because of its words.\u003C\u002Fp>\u003Cp>There is a detail in the study’s own footnote worth sitting with. When Ahrefs counted branded web mentions, YouTube counted only if the brand appeared in the video title, not the transcript. Even the study’s definition of a mention is a definition about text.\u003C\u002Fp>\u003Cp>Ryan Law, Ahrefs’ Director of Content, put the underlying principle plainly in the May study: LLMs derive their understanding of a brand’s authority from words on the page, from how often particular words appear, which terms co-occur, and the context around them. Ahrefs’ own conclusion was that the signals determining AI visibility \u003Ca href=\"https:\u002F\u002Fahrefs.com\u002Fblog\u002Fai-overview-brand-correlation\u002F\">are rooted in text and language\u003C\u002Fa>.\u003C\u002Fp>\u003Cp>An infographic is a picture of words. The words are the part that travels.\u003C\u002Fp>\u003Ch2>\u003Cstrong>What Infographics Are Actually Good For\u003C\u002Fstrong>\u003C\u002Fh2>\u003Cp>None of this makes visual content a waste. It makes the case for it different, and more honest.\u003C\u002Fp>\u003Cp>\u003Cstrong>They earn links. \u003C\u002Fstrong>Publishers embed a clean visual rather than rewriting your analysis. That is real, it is durable, and it is an SEO benefit. Rankings still gate retrieval, and a page has to be retrievable before it can be cited.\u003C\u002Fp>\u003Cp>\u003Cstrong>They hold attention. \u003C\u002Fstrong>A reader who stops to absorb a chart stays on the page. Engagement is not an AI citation signal, but it is a reason to publish things people want to look at.\u003C\u002Fp>\u003Cp>\u003Cstrong>They rank in image search. \u003C\u002Fstrong>A separate discovery surface with its own traffic, and one where ImageObject markup genuinely helps.\u003C\u002Fp>\u003Cp>\u003Cstrong>They force clarity. \u003C\u002Fstrong>You cannot chart a muddled argument. The discipline of making data visual usually improves the prose around it, and the prose is what gets cited.\u003C\u002Fp>\u003Cp>That last one is the real connection between infographics and AI visibility, and it runs the opposite way from the usual claim. The graphic does not earn the citation. The rigour required to build the graphic produces the text that does.\u003C\u002Fp>\u003Ch2>\u003Cstrong>A Caution on Schema\u003C\u002Fstrong>\u003C\u002Fh2>\u003Cp>Advice to implement ImageObject markup for AI visibility is common, and it conflicts with what Google publishes. Google’s documentation states that \u003Ca href=\"https:\u002F\u002Fdevelopers.google.com\u002Fsearch\u002Fdocs\u002Fappearance\u002Fai-features\">there are no additional requirements to appear in AI Overviews or AI Mode\u003C\u002Fa>, no other special optimisations necessary, and no special schema.org structured data needed for these features.\u003C\u002Fp>\u003Cp>ImageObject is worth implementing. It helps Google understand your images and supports the image search features it was built for. It is not a GEO tactic, and treating it as one means spending effort against a mechanism the vendor says does not exist.\u003C\u002Fp>\u003Ch2>\u003Cstrong>What to Do Instead\u003C\u002Fstrong>\u003C\u002Fh2>\u003Cp>\u003Cstrong>Put the facts in the text. \u003C\u002Fstrong>If a number matters, it belongs in a sentence, not only in a chart. The \u003Ca href=\"https:\u002F\u002Farxiv.org\u002Fabs\u002F2311.09735\">GEO paper\u003C\u002Fa> found statistics addition among the strongest interventions tested, and that means statistics an engine can read.\u003C\u002Fp>\u003Cp>\u003Cstrong>Write the graphic’s argument in prose beside it. \u003C\u002Fstrong>Not a caption. The full claim, with the specifics. Assume the engine sees only the words.\u003C\u002Fp>\u003Cp>\u003Cstrong>Answer before you elaborate. \u003C\u002Fstrong>\u003Ca href=\"https:\u002F\u002Fpixis.ai\u002Fblog\u002Fseo-geo-and-aeo-what-they-are-how-they-differ-and-why-your-search-strategy-needs-all-three\u002F\">Answer-first structure\u003C\u002Fa> is one of the few things genuinely distinct to GEO rather than inherited from SEO.\u003C\u002Fp>\u003Cp>\u003Cstrong>Earn mentions, not just links. \u003C\u002Fstrong>Branded web mentions correlated at 0.664 against 0.218 for backlinks in the \u003Ca href=\"https:\u002F\u002Fahrefs.com\u002Fblog\u002Fai-overview-brand-correlation\u002F\">75,000-brand study\u003C\u002Fa>. Being discussed across the web outperforms being linked from it.\u003C\u002Fp>\u003Cp>\u003Cstrong>Confirm retrieval access. \u003C\u002Fstrong>Access is the floor. Nothing above it matters if \u003Ca href=\"https:\u002F\u002Fpixis.ai\u002Fblog\u002Frobots-txt-ai-crawlers-gptbot-perplexity-geo-audit-pixis-visibility\u002F\">crawlers are blocked in robots.txt\u003C\u002Fa>.\u003C\u002Fp>\u003Cp>\u003Cstrong>Then measure. \u003C\u002Fstrong>Run \u003Ca href=\"https:\u002F\u002Fpixis.ai\u002Fblog\u002Fhow-to-audit-your-ai-search-visibility-in-15-minutes\u002F\">a first-pass visibility audit\u003C\u002Fa> to see which pages actually earn citations in your category. That is the only way to know whether any of this worked for you, because \u003Ca href=\"https:\u002F\u002Fpixis.ai\u002Fblog\u002Fchatgpt-vs-perplexity-vs-gemini-how-each-ai-engine-cites-differently-and-how-to-optimize-for-each\u002F\">each engine cites differently\u003C\u002Fa> and a blended number hides it.\u003C\u002Fp>\u003Cp>\u003Ca href=\"https:\u002F\u002Fpixis.ai\u002Fproducts\u002Fpixis-visibility\u002F\">Pixis Visibility\u003C\u002Fa> runs 12 sessions per prompt across ChatGPT, Perplexity, Gemini, and Claude, builds a Citation Bank of what is being cited and why, and turns each gap into a brief. The point is that you find out what moved your numbers rather than inheriting someone else’s claim about what should have.\u003C\u002Fp>\u003Ch2>\u003Cstrong>One Tension Worth Naming\u003C\u002Fstrong>\u003C\u002Fh2>\u003Cp>If mentions elsewhere outrank owned content as a signal, what is the case for publishing at all? Ryan Law’s framing in the \u003Ca href=\"https:\u002F\u002Fahrefs.com\u002Fblog\u002Fai-overview-brand-correlation\u002F\">Ahrefs research\u003C\u002Fa> is that content about you on other sites matters more than content on your own.\u003C\u002Fp>\u003Cp>The two do different jobs. Earned mentions make you a known entity, which is why the brands in the top quartile of web mentions averaged 169 AI Overview mentions while the quartile below averaged 14. Owned content is what gets retrieved and cited on a specific prompt, when someone asks the question your page answers.\u003C\u002Fp>\u003Cp>You need both, and they are not substitutes. Which is also why \u003Ca href=\"https:\u002F\u002Fpixis.ai\u002Fblog\u002Fgeo-vs-seo-whats-actually-different-and-what-still-applies\u002F\">GEO and SEO measure success differently\u003C\u002Fa> while drawing on the same underlying work.\u003C\u002Fp>\u003Ch2>\u003Cstrong>Frequently Asked Questions\u003C\u002Fstrong>\u003C\u002Fh2>\u003Cp>\u003Cstrong>Do infographics improve AI visibility?\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>No research has measured it. The 25 to 35% figure in circulation has no study behind it, and the foundational GEO research tested only text interventions. Infographics improve content in ways that matter, but a citation lift from the image itself has never been demonstrated.\u003C\u002Fp>\u003Cp>\u003Cstrong>Where did the 178% backlinks statistic come from?\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>A chain of stats roundups, each citing the next, terminating in a 2012 vendor infographic with no published methodology. The source most often credited also notes the effect declines annually, which means quoting the number flat today misstates even the attribution.\u003C\u002Fp>\u003Cp>\u003Cstrong>Should I use ImageObject schema?\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>Yes, for image search. Google’s documentation is explicit that \u003Ca href=\"https:\u002F\u002Fdevelopers.google.com\u002Fsearch\u002Fdocs\u002Fappearance\u002Fai-features\">no special structured data is needed for AI features\u003C\u002Fa>, so implement it for what it actually does rather than as a GEO tactic.\u003C\u002Fp>\u003Cp>\u003Cstrong>What alt text length is best for SEO?\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>Google’s guidance asks for descriptive alt text, not a word count. The frequently quoted 10 to 15 word rule is fabricated precision. Describe the image accurately and stop.\u003C\u002Fp>\u003Cp>\u003Cstrong>If not infographics, what does drive AI citations?\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>On the evidence available: specific verifiable facts in the text, clear answer-first structure, and being discussed across the web. Ahrefs measured branded web mentions at 0.664 and YouTube mentions at roughly 0.737, both \u003Ca href=\"https:\u002F\u002Fahrefs.com\u002Fblog\u002Fai-brand-visibility-correlations\u002F\">far above backlinks at 0.218\u003C\u002Fa>. And being cited is not the same as being clicked, since Pew found users click links inside AI summaries \u003Ca href=\"https:\u002F\u002Fwww.pewresearch.org\u002Fshort-reads\u002F2025\u002F07\u002F22\u002Fgoogle-users-are-less-likely-to-click-on-links-when-an-ai-summary-appears-in-the-results\u002F\">just 1% of the time\u003C\u002Fa>.\u003C\u002Fp>",[],1784190355581]