<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>DataBackedNews — Latest</title><description>DataBackedNews reports on technology, markets, science and the economy through primary data and peer-reviewed research. Every figure carries its source, sample size and date. Updated daily.</description><link>https://databackednews.com/</link><language>en</language><item><title>Best CS2 Case Opening Sites (2026): Promo Codes &amp; Data Comparison</title><link>https://databackednews.com/articles/best-cs2-case-opening-sites-2026/</link><guid isPermaLink="true">https://databackednews.com/articles/best-cs2-case-opening-sites-2026/</guid><description>We compared the top CS2 case-opening sites on the numbers that matter — bonus value, minimum deposit, withdrawal speed, user base and age. Key-Drop leads on bonus size with code LOOT. Full data table, verified promo codes, and the house-edge math.</description><pubDate>Sun, 26 Jul 2026 05:07:59 GMT</pubDate><category>gaming</category><category>CS2 cases</category><category>case opening sites</category><category>promo codes</category><category>CS2 skins</category><category>Counter-Strike 2</category></item><item><title>Generative Engine Optimization: What Four 2026 Studies Actually Found</title><link>https://databackednews.com/articles/generative-engine-optimization-2026-research/</link><guid isPermaLink="true">https://databackednews.com/articles/generative-engine-optimization-2026-research/</guid><description>A synthesis of four peer-reviewed studies on how AI search decides what to cite — covering visibility instability, the discovery gap, content structure, and the earned-media bias. Every figure sourced and dated.</description><pubDate>Sun, 26 Jul 2026 05:07:59 GMT</pubDate><category>technology</category><category>generative engine optimization</category><category>AI search</category><category>LLM citation</category><category>GEO</category><category>retrieval</category></item><item><title>The Discovery Gap: 97% of New Products Never Surface in ChatGPT</title><link>https://databackednews.com/articles/discovery-gap-ai-search/</link><guid isPermaLink="true">https://databackednews.com/articles/discovery-gap-ai-search/</guid><description>A 112-product study found AI models recognize products by name 99% of the time but surface them in category searches just 3–8% of the time — and on-page GEO optimization did nothing to close the gap.</description><pubDate>Sun, 12 Jul 2026 00:00:00 GMT</pubDate><category>technology</category><category>AI search</category><category>product discovery</category><category>GEO</category><category>ChatGPT</category><category>Perplexity</category></item><item><title>AI Search Citations Change 60% Day to Day — Why One Check Lies</title><link>https://databackednews.com/articles/ai-search-visibility-instability/</link><guid isPermaLink="true">https://databackednews.com/articles/ai-search-visibility-instability/</guid><description>A St. Gallen study tracked four AI engines for six weeks and found the sources they cite overlap only 34–42% between consecutive days. AI visibility is a distribution, not a ranking — and needs 7–8 measurements to pin down.</description><pubDate>Fri, 10 Jul 2026 00:00:00 GMT</pubDate><category>technology</category><category>AI search</category><category>measurement</category><category>GEO</category><category>visibility</category><category>statistics</category></item><item><title>Structure Alone Lifts AI Citations 17.3% — Without Changing a Word</title><link>https://databackednews.com/articles/content-structure-ai-citations/</link><guid isPermaLink="true">https://databackednews.com/articles/content-structure-ai-citations/</guid><description>A six-engine study held meaning constant and changed only document structure — headings, chunking, tables. Citation rate rose 17.3%, with heading hierarchy alone responsible for nearly half the gain.</description><pubDate>Wed, 08 Jul 2026 00:00:00 GMT</pubDate><category>methods</category><category>GEO</category><category>content structure</category><category>AI citation</category><category>schema</category><category>information design</category></item><item><title>How to Read a p-value Without Fooling Yourself</title><link>https://databackednews.com/articles/how-to-read-a-p-value/</link><guid isPermaLink="true">https://databackednews.com/articles/how-to-read-a-p-value/</guid><description>A p-value is not the probability your result is true, and &apos;not significant&apos; is not &apos;no effect.&apos; A plain-language guide to what a p-value actually means, the traps, and how to check significance yourself.</description><pubDate>Sun, 05 Jul 2026 00:00:00 GMT</pubDate><category>methods</category><category>statistics</category><category>p-value</category><category>significance</category><category>methodology</category><category>hypothesis testing</category></item></channel></rss>