{"id":14652,"date":"2026-02-24T13:21:39","date_gmt":"2026-02-24T10:21:39","guid":{"rendered":"https:\/\/stradiji.com\/?post_type=seo_sozlugu&p=14652"},"modified":"2026-10-14T10:03:25","modified_gmt":"2026-10-14T07:03:25","slug":"structured-data-nedir","status":"publish","type":"seo_sozlugu","link":"https:\/\/www.stradiji.com\/tr\/seo-sozlugu\/structured-data-nedir\/","title":{"rendered":"Structured Data Nedir? Yap\u0131land\u0131r\u0131lm\u0131\u015f Veri"},"content":{"rendered":"

Yap\u0131land\u0131r\u0131lm\u0131\u015f veri (structured data), bir sayfadaki bilgiyi arama motorlar\u0131n\u0131n ve yapay zek\u00e2 sistemlerinin makine diliyle okuyabilece\u011fi standart bir bi\u00e7imde i\u015faretleme y\u00f6ntemidir.<\/strong> En yayg\u0131n bi\u00e7imi, Schema.org s\u00f6zl\u00fc\u011f\u00fcn\u00fc kullanan JSON-LD kodudur.<\/p>\n

\"Yap\u0131land\u0131r\u0131lm\u0131\u015f<\/p>\n

Bir insan “Stradiji, 2010’da \u0130stanbul’da kurulan bir SEO ve GEO dan\u0131\u015fmanl\u0131\u011f\u0131d\u0131r” c\u00fcmlesini okuyup anlar. Bir makine ise bu c\u00fcmlede hangi kelimenin \u015firket ad\u0131, hangisinin \u015fehir, hangisinin kurulu\u015f y\u0131l\u0131 oldu\u011funu tahmin etmek zorundad\u0131r. Yap\u0131land\u0131r\u0131lm\u0131\u015f veri bu tahmini ortadan kald\u0131r\u0131r: “Bu bir Organization; ad\u0131 bu, kurulu\u015f tarihi bu, adresi bu.”<\/p>\n

Son g\u00fcncelleme: 13 Ekim 2026 \u00b7 Yazar: Mert Erkal<\/a>, Stradiji kurucusu \u00b7 Bu madde GEO Yol Haritas\u0131<\/a>‘n\u0131n A\u015fama 3’\u00fcne ba\u011fl\u0131d\u0131r.<\/p>\n

Yap\u0131land\u0131r\u0131lm\u0131\u015f veri kurumsal markalar i\u00e7in neden \u00f6nemli?<\/h2>\n

Uzun y\u0131llar yap\u0131land\u0131r\u0131lm\u0131\u015f verinin ana getirisi zengin sonu\u00e7lard\u0131: y\u0131ld\u0131zlar, SSS a\u00e7\u0131l\u0131r kutular\u0131, tarif kartlar\u0131. Bu getiri darald\u0131. Google, A\u011fustos 2023’te SSS zengin sonu\u00e7lar\u0131n\u0131 yaln\u0131zca resm\u00ee kurum ve sa\u011fl\u0131k sitelerine s\u0131n\u0131rlad\u0131 (Google Search Central, A\u011fustos 2023<\/a>). Haziran 2025’te ise yedi zengin sonu\u00e7 t\u00fcr\u00fcn\u00fc daha kald\u0131raca\u011f\u0131n\u0131 duyurdu; aralar\u0131nda Course Info, Claim Review ve Estimated Salary vard\u0131 (Search Engine Land, Haziran 2025<\/a>).<\/p>\n

Ama yap\u0131land\u0131r\u0131lm\u0131\u015f verinin as\u0131l i\u015fi g\u00f6rsel s\u00fcs de\u011fil, anlamd\u0131r. Microsoft’tan Fabrice Canel, Mart 2025’te SMX Munich’te \u015fema i\u015faretlemesinin Microsoft’un b\u00fcy\u00fck dil modellerinin i\u00e7eri\u011fi anlamas\u0131na yard\u0131mc\u0131 oldu\u011funu do\u011frulad\u0131 (Search Engine Land, Mart 2025<\/a>). Zengin sonu\u00e7 gitse bile, motorun sizi do\u011fru anlamas\u0131 kal\u0131r.<\/p>\n

Yap\u0131land\u0131r\u0131lm\u0131\u015f veri nas\u0131l \u00e7al\u0131\u015f\u0131r?<\/h2>\n
    \n
  1. S\u00f6zl\u00fck:<\/strong> Schema.org, “Organization”, “Person”, “Article”, “Product”, “FAQPage” gibi ortak t\u00fcrler ve bu t\u00fcrlerin \u00f6zelliklerini tan\u0131mlar.<\/li>\n
  2. Bi\u00e7im:<\/strong> Bu t\u00fcrler sayfaya genellikle JSON-LD olarak, g\u00f6r\u00fcn\u00fcr i\u00e7erikten ayr\u0131 bir kod blo\u011fu i\u00e7inde eklenir.<\/li>\n
  3. Ba\u011flant\u0131:<\/strong> sameAs, author, publisher ve @id gibi \u00f6zellikler varl\u0131klar\u0131 birbirine ba\u011flar: “Bu makalenin yazar\u0131 \u015fu ki\u015fi, \u015fu ki\u015fi \u015fu \u015firketin kurucusu, \u015fu \u015firketin resm\u00ee profilleri bunlar.”<\/li>\n
  4. Do\u011frulama:<\/strong> Motor, i\u015faretlemenin sayfada g\u00f6r\u00fcnen i\u00e7erikle ayn\u0131 olup olmad\u0131\u011f\u0131n\u0131 kontrol eder. G\u00f6r\u00fcnmeyen bilgiyi i\u015faretlemek g\u00fcveni azalt\u0131r.<\/li>\n<\/ol>\n

    \"\u015eema<\/p>\n

    SEO ve GEO ili\u015fkisi<\/h2>\n

    Yap\u0131land\u0131r\u0131lm\u0131\u015f veri, SEO’nun teknik altyap\u0131s\u0131 ile GEO’nun varl\u0131k katman\u0131 aras\u0131ndaki k\u00f6pr\u00fcd\u00fcr. SEO taraf\u0131nda motorun sayfay\u0131 do\u011fru s\u0131n\u0131fland\u0131rmas\u0131na, GEO taraf\u0131nda modelin markan\u0131z\u0131 do\u011fru varl\u0131k olarak tan\u0131mas\u0131na yard\u0131m eder. Organization \u015femas\u0131 ve sameAs ba\u011flant\u0131lar\u0131, varl\u0131k optimizasyonunun da ba\u015flang\u0131\u00e7 noktas\u0131d\u0131r.<\/p>\n

    Burada bir uyar\u0131: \u015eema tek ba\u015f\u0131na al\u0131nt\u0131 getirmez. \u0130\u015faretledi\u011finiz bilgi sayfada yoksa, zay\u0131fsa ya da d\u0131\u015f kaynaklarla \u00e7eli\u015fiyorsa, kod bunu d\u00fczeltmez. \u015eema, var olan iyi i\u00e7eri\u011fi okunur k\u0131lar.<\/p>\n

    Sahada g\u00f6rd\u00fc\u011f\u00fcm\u00fcz<\/h2>\n

    Eyl\u00fcl 2026’ya kadar denetledi\u011fimiz 100’den fazla sitenin yakla\u015f\u0131k %30’unda temel Organization \u015femas\u0131 bile yoktu (Yapay Zek\u00e2 G\u00f6r\u00fcn\u00fcrl\u00fc\u011f\u00fcn\u00fcn \u00dc\u00e7 Kap\u0131s\u0131<\/a>). En s\u0131k g\u00f6rd\u00fc\u011f\u00fcm\u00fcz hatalar:<\/p>\n