[{"data":1,"prerenderedAt":273},["ShallowReactive",2],{"learn-geo-/en/learn/geo/data-and-statistics-en":3},{"id":4,"title":5,"body":6,"description":231,"extension":232,"meta":233,"navigation":266,"path":267,"seo":268,"stem":271,"__hash__":272},"content_en/5.learn/geo/data-and-statistics.md","Specific Data & Statistics",{"type":7,"value":8,"toc":225},"minimark",[9,17,22,25,36,39,43,64,178,182,202,206,221],[10,11,12,16],"p",{},[13,14,15],"strong",{},"TL;DR"," — LLMs prefer specificity. \"Pages with FAQ schema are cited 38% more often in AI-generated answers (Princeton, 2024)\" is quotable. \"Pages with FAQ schema get more citations\" is forgettable. Statistics anchor claims in reality.",[18,19,21],"h2",{"id":20},"why-data-and-statistics-matter-for-ai-engines","Why Data and Statistics Matter for AI Engines",[10,23,24],{},"Language models are trained to prefer specificity because specific claims are more verifiable and more useful to end users. Vague qualitative claims (\"many companies see improvement\") cannot be cited — they offer no new information. Quantified claims with sources (\"companies see a 40% increase in AI citations after adding structured data — Princeton GEO Study, 2024\") are citable facts that models can reference with attribution.",[10,26,27,28,35],{},"The ",[29,30,34],"a",{"href":31,"rel":32},"https://arxiv.org/abs/2311.09735",[33],"nofollow","Princeton GEO study (2024)"," explicitly found that statistical mentions in content significantly increased citation frequency across ChatGPT, Perplexity, and other AI engines. The mechanism is straightforward: a number with a source is a discrete, verifiable unit of information. It reduces the model's uncertainty about whether the claim is reliable.",[10,37,38],{},"This applies to every type of content. Product pages benefit from customer counts, conversion rates, and uptime percentages. Educational articles benefit from research citations and measured outcomes. Landing pages benefit from specific case study results rather than generic \"great results\" claims.",[18,40,42],{"id":41},"how-to-implement","How to Implement",[44,45,46,50,53,61],"ul",{},[47,48,49],"li",{},"Replace vague claims with numbers: \"many customers\" → \"over 2,400 customers\", \"significant improvement\" → \"38% increase\"",[47,51,52],{},"Include percentage changes, dates, and inline source citations",[47,54,55,56,60],{},"Use ",[57,58,59],"code",{},"\u003Cdata value=\"38\">38%\u003C/data>"," for machine-readable values where precision matters",[47,62,63],{},"Cite the source immediately after the statistic in the same sentence",[65,66,71],"pre",{"className":67,"code":68,"language":69,"meta":70,"style":70},"language-html shiki shiki-themes material-theme-lighter material-theme material-theme-palenight","Pages with \u003Ccode>FAQPage\u003C/code> schema are cited\n\u003Cdata value=\"38\">38%\u003C/data> more often in AI-generated answers\n(\u003Ca href=\"https://arxiv.org/abs/2311.09735\">Princeton GEO Study, 2024\u003C/a>).\n","html","",[57,72,73,105,143],{"__ignoreMap":70},[74,75,78,82,86,89,92,95,98,100,102],"span",{"class":76,"line":77},"line",1,[74,79,81],{"class":80},"sTEyZ","Pages with ",[74,83,85],{"class":84},"sMK4o","\u003C",[74,87,57],{"class":88},"swJcz",[74,90,91],{"class":84},">",[74,93,94],{"class":80},"FAQPage",[74,96,97],{"class":84},"\u003C/",[74,99,57],{"class":88},[74,101,91],{"class":84},[74,103,104],{"class":80}," schema are cited\n",[74,106,108,110,113,117,120,123,127,129,131,134,136,138,140],{"class":76,"line":107},2,[74,109,85],{"class":84},[74,111,112],{"class":88},"data",[74,114,116],{"class":115},"spNyl"," value",[74,118,119],{"class":84},"=",[74,121,122],{"class":84},"\"",[74,124,126],{"class":125},"sfazB","38",[74,128,122],{"class":84},[74,130,91],{"class":84},[74,132,133],{"class":80},"38%",[74,135,97],{"class":84},[74,137,112],{"class":88},[74,139,91],{"class":84},[74,141,142],{"class":80}," more often in AI-generated answers\n",[74,144,146,149,151,153,156,158,160,162,164,166,169,171,173,175],{"class":76,"line":145},3,[74,147,148],{"class":80},"(",[74,150,85],{"class":84},[74,152,29],{"class":88},[74,154,155],{"class":115}," href",[74,157,119],{"class":84},[74,159,122],{"class":84},[74,161,31],{"class":125},[74,163,122],{"class":84},[74,165,91],{"class":84},[74,167,168],{"class":80},"Princeton GEO Study, 2024",[74,170,97],{"class":84},[74,172,29],{"class":88},[74,174,91],{"class":84},[74,176,177],{"class":80},").\n",[18,179,181],{"id":180},"common-mistakes","Common Mistakes",[44,183,184,190,196],{},[47,185,186,189],{},[13,187,188],{},"Round numbers with no source"," — \"about 50%\" with no citation is a signal of fabrication, not precision",[47,191,192,195],{},[13,193,194],{},"Statistics older than 3 years without noting the date"," — undated statistics are treated as potentially stale; always include the year",[47,197,198,201],{},[13,199,200],{},"Vague qualifiers instead of measured values"," — \"significantly\", \"dramatically\", \"notably\" are not citable; replace them with the actual percentage",[18,203,205],{"id":204},"sources","Sources",[44,207,208,214],{},[47,209,210],{},[29,211,213],{"href":31,"rel":212},[33],"Princeton GEO Paper (2024)",[47,215,216],{},[29,217,220],{"href":218,"rel":219},"https://developers.google.com/search/docs/fundamentals/creating-helpful-content",[33],"Google Quality Rater Guidelines — E-E-A-T",[222,223,224],"style",{},"html pre.shiki code .sTEyZ, html code.shiki .sTEyZ{--shiki-light:#90A4AE;--shiki-default:#EEFFFF;--shiki-dark:#BABED8}html pre.shiki code .sMK4o, html code.shiki .sMK4o{--shiki-light:#39ADB5;--shiki-default:#89DDFF;--shiki-dark:#89DDFF}html pre.shiki code .swJcz, html code.shiki .swJcz{--shiki-light:#E53935;--shiki-default:#F07178;--shiki-dark:#F07178}html pre.shiki code .spNyl, html code.shiki .spNyl{--shiki-light:#9C3EDA;--shiki-default:#C792EA;--shiki-dark:#C792EA}html pre.shiki code .sfazB, html code.shiki .sfazB{--shiki-light:#91B859;--shiki-default:#C3E88D;--shiki-dark:#C3E88D}html .light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html.light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":70,"searchDepth":107,"depth":107,"links":226},[227,228,229,230],{"id":20,"depth":107,"text":21},{"id":41,"depth":107,"text":42},{"id":180,"depth":107,"text":181},{"id":204,"depth":107,"text":205},"Concrete numbers, percentages, and measurable claims that give AI engines verifiable facts to cite.","md",{"publishedAt":234,"badge":235,"type":237,"faq":238,"related":248,"cta":261},"2026-03-31",{"label":236},"Core","guide",[239,242,245],{"question":240,"answer":241},"Do I need original research to include statistics?","No — citing third-party research is valid and common. What matters is that the statistic is specific, sourced, and current. Cite the original study, include the year, and link to the source. Your own internal data (customer counts, case study results) can also be cited as first-party evidence.",{"question":243,"answer":244},"How often should I update statistics on evergreen pages?","Review statistics at least annually. If a study you cite has been superseded by newer research, update to the latest data. If your own customer count or product metrics have changed, update them. Stale statistics signal that content hasn't been maintained.",{"question":246,"answer":247},"Can I use the data element for machine-readable values?","Yes. The HTML \u003Cdata> element with a value attribute provides machine-readable context for numeric values. It's particularly useful for pricing, measurements, and percentages that you want to be reliably extractable without ambiguity.",[249,253,257],{"title":250,"url":251,"description":252},"External References","/learn/geo/external-references","How to link to the sources behind your statistics to build citation credibility.",{"title":254,"url":255,"description":256},"Authority References","/learn/geo/authority-references","Linking to high-authority sources (.gov, .edu, major publishers) for your claims.",{"title":258,"url":259,"description":260},"Clear Takeaway / Key Summary","/learn/geo/clear-takeaway","Surface your key data points in a summary block for maximum AI extraction.",{"title":262,"description":263,"label":264,"url":265},"Are your pages making citable claims?","TrustData identifies pages with vague qualitative language and no data citations — and tells you exactly what to add.","Audit my pages","https://app.trustdata.tech",true,"/learn/geo/data-and-statistics",{"title":269,"description":270},"Data & Statistics for AI Engines — GEO Optimisation Guide","LLMs prefer specificity. \"Pages with FAQ schema are cited 38% more often\" is quotable. \"Pages get more citations\" is not. Statistics anchor claims that AI engines reproduce verbatim.","5.learn/geo/data-and-statistics","ZjxuRgEVDBA59OzgZ_IOAaqagfOFc4fk7EM8YMeExmI",1777026713526]