Google ve Microsoft: \u0130ki Farkl\u0131 Felsefe<\/strong><\/h2>\nManic\u2019in makalesinde dikkat \u00e7eken bir kar\u015f\u0131la\u015ft\u0131rma var. Google diyor ki: iyi SEO yap\u0131n, yeter. Resmi dok\u00fcmantasyonlar\u0131 kas\u0131tl\u0131 olarak minimalist. Microsoft ise diyor ki: i\u015fte size oyun plan\u0131. Ekim 2025 blog yaz\u0131lar\u0131 ve Ocak 2026 rehberleri detayl\u0131, uygulanabilir tavsiyeler sunuyor: spesifik ba\u015fl\u0131k yap\u0131lar\u0131, schema \u00f6nerileri, i\u00e7erik formatlama kurallar\u0131, somut \u00f6rnekler.<\/p>\n
Fark\u0131n sebebi k\u0131smen pazar konumu. Google aramaya h\u00e2kim, yapay zek\u00e2 \u00f6zelliklerini optimize etmenize yard\u0131mc\u0131 olman\u0131n te\u015fviki d\u00fc\u015f\u00fck. Microsoft ise y\u00fczde 8 pazar pay\u0131yla yay\u0131nc\u0131lara kendi ekosistemine \u00f6zel optimizasyon yapmalar\u0131 i\u00e7in sebepler sunmaktan k\u00e2rl\u0131 \u00e7\u0131k\u0131yor.<\/p>\n
Ama pratik \u00e7\u0131kar\u0131m \u015fu:<\/strong> Microsoft\u2019un rehberli\u011fi Bing\u2019e \u00f6zg\u00fc de\u011fil. Yap\u0131sal i\u00e7erik, net ba\u015fl\u0131klar, kopar\u0131labilir formatlar, schema markup ve uzman otoritesi ilkeleri evrensel. Microsoft\u2019un oyun plan\u0131n\u0131 takip etmek, Google\u2019\u0131n yapay zek\u00e2 sistemi dahil her yapay zek\u00e2 sistemi i\u00e7in i\u00e7eri\u011finizi iyile\u015ftirir. Google bunu size s\u00f6ylemeyecek.<\/p>\nSchema Markup: Metinden Bilgiye D\u00f6n\u00fc\u015f\u00fcm<\/strong><\/h2>\nMicrosoft, schema\u2019y\u0131 \u201cd\u00fcz metni, makinelerin g\u00fcvenle yorumlayabilece\u011fi yap\u0131sal veriye d\u00f6n\u00fc\u015ft\u00fcren kod\u201d olarak tan\u0131ml\u0131yor. Krishna Madhavan Pubcon\u2019da bunu peki\u015ftirdi: \u201cSchema\u2019lar \u00e7ok faydal\u0131. Sistemin, tahmin etmek zorunda kalmadan bilginizin tam olarak ne oldu\u011funu anlamas\u0131na yard\u0131mc\u0131 oluyor.\u201d<\/p>\n
GEO-16 \u00e7er\u00e7evesi bunu akademik taraftan do\u011fruluyor: yap\u0131sal veri, yapay zek\u00e2 al\u0131nt\u0131lanma olas\u0131l\u0131\u011f\u0131n\u0131 tahmin eden ilk \u00fc\u00e7 fakt\u00f6rden biri.<\/p>\n
Yapay zek\u00e2 g\u00f6r\u00fcn\u00fcrl\u00fc\u011f\u00fc i\u00e7in en kritik schema t\u00fcrleri: FAQPage (soru-cevap i\u00e7erikleri i\u00e7in, yapay zek\u00e2n\u0131n yan\u0131t format\u0131yla do\u011frudan e\u015fle\u015fiyor), HowTo (ad\u0131m ad\u0131m talimatlar i\u00e7in), Product ile Offer, AggregateRating ve Review (e-ticaret i\u00e7in), Article\/BlogPosting (net yazarl\u0131k ve tarih bilgisi olan i\u00e7erikler i\u00e7in) ve Organization (kurumsal kimlik i\u00e7in). Yap\u0131sal veriyi IndexNow ile e\u015fle\u015ftirin: IndexNow arama motorlar\u0131na bir \u015feyin de\u011fi\u015fti\u011fini, yap\u0131sal veri ise neyin de\u011fi\u015fti\u011fini s\u00f6yler.<\/p>\n
Yapay Zek\u00e2 \u0130\u00e7in E-E-A-T<\/strong><\/h2>\nE-E-A-T (Deneyim, Uzmanl\u0131k, Otorite, G\u00fcvenilirlik) art\u0131k sadece Google\u2019\u0131n de\u011fil, t\u00fcm yapay zek\u00e2 sistemlerinin arad\u0131\u011f\u0131 sinyal. Ama burada \u00f6nemli bir n\u00fcans var: orijinal GEO ara\u015ft\u0131rmas\u0131, ikna edici veya otoriter tonla yazman\u0131n yapay zek\u00e2 g\u00f6r\u00fcn\u00fcrl\u00fc\u011f\u00fcn\u00fc art\u0131rmad\u0131\u011f\u0131n\u0131 buldu. Olgular ve kaynak g\u00f6sterilen at\u0131flar art\u0131rd\u0131. Pazarlama dili algoritmalar\u0131 etkilemiyor.<\/p>\n
Toronto \u00dcniversitesi\u2019nin bulgusuyla birle\u015ftirin: yapay zek\u00e2 sistemleri kendi kendini \u00f6vmeye de\u011fil, \u00fc\u00e7\u00fcnc\u00fc taraf do\u011frulamas\u0131na g\u00fcveniyor. Y\u00fczde 92,1’lik \u00fc\u00e7\u00fcnc\u00fc taraf kaynak tercih oran\u0131 bunu a\u00e7\u0131k\u00e7a g\u00f6steriyor. Dolay\u0131s\u0131yla uzmanl\u0131\u011f\u0131n\u0131z\u0131 sekt\u00f6r yay\u0131nlar\u0131nda yay\u0131mlamak, bas\u0131n haberi almak ve otoriter platformlarda var olmak, kendi sitenizdeki metni m\u00fckemmelle\u015ftirmekten yapay zek\u00e2 g\u00f6r\u00fcn\u00fcrl\u00fc\u011f\u00fc a\u00e7\u0131s\u0131ndan daha etkili.<\/p>\n
Tazelik ise bonus de\u011fil, sinyal. Krishna Madhavan Pubcon\u2019da bunu netle\u015ftirdi: eski veya eksik i\u00e7erik, yapay zek\u00e2 sistemlerinin kaynak olarak alabilece\u011fi i\u00e7erik miktar\u0131n\u0131 k\u0131s\u0131tl\u0131yor ve ajanlar\u0131 alternatif kaynaklara y\u00f6nlendiriyor.<\/p>\n
Mert\u2019in Notu: \u201cNas\u0131l S\u0131ralan\u0131r\u0131m?\u201d Sorusunun Yerini \u201cNas\u0131l Se\u00e7ilirim?\u201d Ald\u0131<\/strong><\/h4>\nBu makaleden \u00e7\u0131kan en temel mesaj\u0131 tek c\u00fcmleye indirgemem gerekse \u015funu s\u00f6ylerim: geleneksel SEO \u201cnas\u0131l s\u0131ralan\u0131r\u0131m?\u201d sorusunu soruyordu. AEO \u201cnas\u0131l se\u00e7ilen par\u00e7a olurum?\u201d sorusunu soruyor.<\/p>\n
Yan\u0131t tek bir hile de\u011fil. Net yap\u0131, do\u011frulanabilir uzmanl\u0131k ve yapay zek\u00e2n\u0131n g\u00fcvenle \u00e7\u0131kar\u0131p al\u0131nt\u0131layabilece\u011fi i\u00e7erik. \u0130kna edici tondan, pazarlama jargonundan ve anahtar kelime yo\u011funlu\u011fundan uzakla\u015fmak. Olgulara, kaynak g\u00f6stermeye ve yap\u0131sal d\u00fczene yakla\u015fmak.<\/p>\n
Ge\u00e7en hafta \u201cki\u015fiselle\u015ftirme + reklamlar = bir\u00e7ok SEO stratejisinin sonu\u201d demi\u015ftim. Bu hafta form\u00fcle \u00fc\u00e7\u00fcnc\u00fc boyutu ekliyorum: i\u00e7eri\u011finiz yapay zek\u00e2 taraf\u0131ndan kopar\u0131labilir, do\u011frulanabilir ve al\u0131nt\u0131lanabilir de\u011filse, ki\u015fiselle\u015ftirme ve reklamlarla birlikte \u00fc\u00e7l\u00fc darbe yiyorsunuz.<\/p>\n","protected":false},"excerpt":{"rendered":"
Geleneksel arama motorlar\u0131 sayfa s\u0131ralarken, yapay zek\u00e2 art\u0131k “par\u00e7a se\u00e7iyor”. ChatGPT, Gemini ve Perplexity gibi platformlarda al\u0131nt\u0131lanmak i\u00e7in i\u00e7eri\u011finizi nas\u0131l yap\u0131land\u0131rmal\u0131s\u0131n\u0131z? AEO ve GEO stratejileriyle, “nas\u0131l s\u0131ralan\u0131r\u0131m?” sorusundan “nas\u0131l se\u00e7ilirim?” a\u015famas\u0131na ge\u00e7i\u015fin veriye dayal\u0131 yol haritas\u0131n\u0131 ke\u015ffedin.<\/p>\n","protected":false},"author":1,"featured_media":14770,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[282,1311],"tags":[],"class_list":["post-14769","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-dijital-pazarlama","category-yapay-zeka-ai"],"_links":{"self":[{"href":"https:\/\/www.stradiji.com\/tr\/wp-json\/wp\/v2\/posts\/14769","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.stradiji.com\/tr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.stradiji.com\/tr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.stradiji.com\/tr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.stradiji.com\/tr\/wp-json\/wp\/v2\/comments?post=14769"}],"version-history":[{"count":0,"href":"https:\/\/www.stradiji.com\/tr\/wp-json\/wp\/v2\/posts\/14769\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.stradiji.com\/tr\/wp-json\/wp\/v2\/media\/14770"}],"wp:attachment":[{"href":"https:\/\/www.stradiji.com\/tr\/wp-json\/wp\/v2\/media?parent=14769"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.stradiji.com\/tr\/wp-json\/wp\/v2\/categories?post=14769"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.stradiji.com\/tr\/wp-json\/wp\/v2\/tags?post=14769"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
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