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Structured output %96. Maliyet farkı sorgu başı $0.002 — ölçek yapıyorsanız structured output zorunlu.",{"type":32,"tag":33,"props":681,"children":682},{},[683,688],{"type":32,"tag":79,"props":684,"children":685},{},[686],{"type":37,"value":687},"Katman 4: Aggregation",{"type":37,"value":689}," — Citation'ları domain bazında toplayın. Metric'leriniz:",{"type":32,"tag":691,"props":692,"children":693},"table",{},[694,718],{"type":32,"tag":695,"props":696,"children":697},"thead",{},[698],{"type":32,"tag":699,"props":700,"children":701},"tr",{},[702,708,713],{"type":32,"tag":703,"props":704,"children":705},"th",{},[706],{"type":37,"value":707},"Metrik",{"type":32,"tag":703,"props":709,"children":710},{},[711],{"type":37,"value":712},"Formül",{"type":32,"tag":703,"props":714,"children":715},{},[716],{"type":37,"value":717},"Hedef",{"type":32,"tag":719,"props":720,"children":721},"tbody",{},[722,741,759,777],{"type":32,"tag":699,"props":723,"children":724},{},[725,731,736],{"type":32,"tag":726,"props":727,"children":728},"td",{},[729],{"type":37,"value":730},"Citation rate",{"type":32,"tag":726,"props":732,"children":733},{},[734],{"type":37,"value":735},"(sizin cite sayısı) \u002F (toplam yanıt sayısı)",{"type":32,"tag":726,"props":737,"children":738},{},[739],{"type":37,"value":740},"%8+",{"type":32,"tag":699,"props":742,"children":743},{},[744,749,754],{"type":32,"tag":726,"props":745,"children":746},{},[747],{"type":37,"value":748},"Share of voice",{"type":32,"tag":726,"props":750,"children":751},{},[752],{"type":37,"value":753},"(sizin cite) \u002F (tüm cite toplamı)",{"type":32,"tag":726,"props":755,"children":756},{},[757],{"type":37,"value":758},"%15+",{"type":32,"tag":699,"props":760,"children":761},{},[762,767,772],{"type":32,"tag":726,"props":763,"children":764},{},[765],{"type":37,"value":766},"Position rank",{"type":32,"tag":726,"props":768,"children":769},{},[770],{"type":37,"value":771},"Median cite sırası",{"type":32,"tag":726,"props":773,"children":774},{},[775],{"type":37,"value":776},"Top 3",{"type":32,"tag":699,"props":778,"children":779},{},[780,785,790],{"type":32,"tag":726,"props":781,"children":782},{},[783],{"type":37,"value":784},"Context quality",{"type":32,"tag":726,"props":786,"children":787},{},[788],{"type":37,"value":789},"Citation'la birlikte verilen bilgi uzunluğu",{"type":32,"tag":726,"props":791,"children":792},{},[793],{"type":37,"value":794},"40+ karakter",{"type":32,"tag":33,"props":796,"children":797},{},[798],{"type":37,"value":799},"Context quality önemli — markanız cited ama \"example.com offers solutions\" şeklindeyse value düşük. \"example.com's attribution model tracks 14 touchpoints across...\" şeklindeyse yüksek.",{"type":32,"tag":40,"props":801,"children":803},{"id":802},"roibase-citation-stack-implementasyonu",[804],{"type":37,"value":805},"Roibase Citation Stack Implementasyonu",{"type":32,"tag":33,"props":807,"children":808},{},[809],{"type":37,"value":810},"Biz bu stack'i 8 müşteride production'a aldık. Mimari: n8n workflow orchestration + Claude API extraction + BigQuery storage + Looker Studio dashboard.",{"type":32,"tag":33,"props":812,"children":813},{},[814],{"type":32,"tag":79,"props":815,"children":816},{},[817],{"type":37,"value":818},"Workflow anatomy:",{"type":32,"tag":71,"props":820,"children":821},{},[822,832,842,852],{"type":32,"tag":75,"props":823,"children":824},{},[825,830],{"type":32,"tag":79,"props":826,"children":827},{},[828],{"type":37,"value":829},"Query refresh node",{"type":37,"value":831}," (haftalık): GSC API'den son 90 günün query'lerini çek → TF-IDF ile ilgili olanları filtrele → query_pool table'ına yaz",{"type":32,"tag":75,"props":833,"children":834},{},[835,840],{"type":32,"tag":79,"props":836,"children":837},{},[838],{"type":37,"value":839},"Sampling node",{"type":37,"value":841}," (günlük): query_pool'dan 200 query sample al → her query'yi 3 LLM'de çalıştır → raw_responses table'ına yaz",{"type":32,"tag":75,"props":843,"children":844},{},[845,850],{"type":32,"tag":79,"props":846,"children":847},{},[848],{"type":37,"value":849},"Extraction node",{"type":37,"value":851}," (günlük): raw_responses'ları Claude'a gönder → citation JSON'ları çıkar → citations table'ına normalize et",{"type":32,"tag":75,"props":853,"children":854},{},[855,860],{"type":32,"tag":79,"props":856,"children":857},{},[858],{"type":37,"value":859},"Aggregation node",{"type":37,"value":861}," (günlük): citations table'ından metric'leri hesapla → dashboard_metrics table'ına summarize yaz",{"type":32,"tag":33,"props":863,"children":864},{},[865,870],{"type":32,"tag":79,"props":866,"children":867},{},[868],{"type":37,"value":869},"Maliyet:",{"type":37,"value":871}," Günlük 200 query × 3 engine × $0.03\u002Fquery = $18\u002Fgün = $540\u002Fay. Industry average citation tracking tool subscription $2000\u002Fay. Stack'i kendiniz kurarsanız %73 maliyet düşüşü.",{"type":32,"tag":33,"props":873,"children":874},{},[875,880,882,888],{"type":32,"tag":79,"props":876,"children":877},{},[878],{"type":37,"value":879},"Latency:",{"type":37,"value":881}," Sampling en yavaş adım — her query'nin response time'ı 3-8 saniye (LLM'e bağlı). 200 query'yi paralelize ederseniz toplam 12 dakika. Serial çalıştırırsanız 3 saat. n8n'de ",{"type":32,"tag":57,"props":883,"children":885},{"className":884},[],[886],{"type":37,"value":887},"splitInBatches",{"type":37,"value":889}," node'u + 10 concurrent execution ile paralelize edin.",{"type":32,"tag":33,"props":891,"children":892},{},[893],{"type":37,"value":894},"Citation extraction için Claude Sonnet kullanın — GPT-4o'dan %18 daha ucuz, extraction accuracy'de fark yok. Gemini Flash'ı denedik, context window limitation'dan dolayı uzun response'larda cite kayıp veriyor.",{"type":32,"tag":40,"props":896,"children":898},{"id":897},"citation-ratei-yükseltmek-i̇çin-geo-taktikleri",[899],{"type":37,"value":900},"Citation Rate'i Yükseltmek İçin GEO Taktikleri",{"type":32,"tag":33,"props":902,"children":903},{},[904],{"type":37,"value":905},"Citation tracking kuruldu, şimdi metriği yukarı çekmek. Traditional SEO'dan farklı — backlink değil, semantic signal oyunu.",{"type":32,"tag":33,"props":907,"children":908},{},[909,914],{"type":32,"tag":79,"props":910,"children":911},{},[912],{"type":37,"value":913},"Taktik 1: Structured answer injection",{"type":37,"value":915}," — LLM'ler listicle ve tablo format'ını cite ederken tercih ediyor. Blog post'larınıza şu pattern'i ekleyin:",{"type":32,"tag":183,"props":917,"children":921},{"className":918,"code":919,"language":920,"meta":16,"style":16},"language-markdown shiki shiki-themes github-dark","## En İyi 5 CRM Özelliği\n\n| Özellik | Neden Önemli | Örnek Uygulama |\n|---------|--------------|----------------|\n| Multi-touch attribution | Revenue'yu doğru kanala bağlar | Lead 7 touchpoint'ten conversion oldu |\n| ...\n","markdown",[922],{"type":32,"tag":57,"props":923,"children":924},{"__ignoreMap":16},[925,934,941,949,957,965],{"type":32,"tag":193,"props":926,"children":927},{"class":195,"line":196},[928],{"type":32,"tag":193,"props":929,"children":931},{"style":930},"--shiki-default:#79B8FF;--shiki-default-font-weight:bold",[932],{"type":37,"value":933},"## En İyi 5 CRM Özelliği\n",{"type":32,"tag":193,"props":935,"children":936},{"class":195,"line":217},[937],{"type":32,"tag":193,"props":938,"children":939},{"emptyLinePlaceholder":295},[940],{"type":37,"value":298},{"type":32,"tag":193,"props":942,"children":943},{"class":195,"line":242},[944],{"type":32,"tag":193,"props":945,"children":946},{"style":200},[947],{"type":37,"value":948},"| Özellik | Neden Önemli | Örnek Uygulama |\n",{"type":32,"tag":193,"props":950,"children":951},{"class":195,"line":264},[952],{"type":32,"tag":193,"props":953,"children":954},{"style":200},[955],{"type":37,"value":956},"|---------|--------------|----------------|\n",{"type":32,"tag":193,"props":958,"children":959},{"class":195,"line":282},[960],{"type":32,"tag":193,"props":961,"children":962},{"style":200},[963],{"type":37,"value":964},"| Multi-touch attribution | Revenue'yu doğru kanala bağlar | Lead 7 touchpoint'ten conversion oldu |\n",{"type":32,"tag":193,"props":966,"children":967},{"class":195,"line":291},[968],{"type":32,"tag":193,"props":969,"children":970},{"style":200},[971],{"type":37,"value":972},"| ...\n",{"type":32,"tag":33,"props":974,"children":975},{},[976],{"type":37,"value":977},"Tablo ekledikten sonra aynı query'de citation rate %23 arttı (3 aylık A\u002FB test, 47 post).",{"type":32,"tag":33,"props":979,"children":980},{},[981,986],{"type":32,"tag":79,"props":982,"children":983},{},[984],{"type":37,"value":985},"Taktik 2: Citation-worthy stat injection",{"type":37,"value":987}," — LLM'ler spesifik sayı içeren cümleleri cite ediyor. Her major claim'inizin yanına sayı ekleyin: \"Attribution modeli önemli\" değil, \"Multi-touch attribution 14 touchpoint'i izlediğinde ROI %34 artıyor (2024 benchmark)\".",{"type":32,"tag":33,"props":989,"children":990},{},[991,996],{"type":32,"tag":79,"props":992,"children":993},{},[994],{"type":37,"value":995},"Taktik 3: Semantic clustering",{"type":37,"value":997}," — LLM'ler aynı domain'den 3+ farklı sayfayı farklı query'lerde cite ederse topical authority sinyali veriyor. Tek blog post yerine cluster yapın: ana post + 3 derinlik post. Örnek cluster: \"Attribution Modeling\" (ana) + \"First-Touch vs Last-Touch\" + \"Multi-Touch Attribution Formülleri\" + \"Attribution Window Seçimi\". Cluster'da citation rate tekil post'tan %41 yüksek.",{"type":32,"tag":33,"props":999,"children":1000},{},[1001,1006],{"type":32,"tag":79,"props":1002,"children":1003},{},[1004],{"type":37,"value":1005},"Taktik 4: Freshness signaling",{"type":37,"value":1007}," — LLM'ler \"2024 verisi\", \"Ocak 2025 update\" gibi timestamp'leri cite ederken priortize ediyor. Her post'a publish date + last updated date ekleyin. 6 aydan eski içeriği refresh edin — aynı içerik, sadece \"2025\" yerine \"2026\" yazmak %17 citation lift veriyor (kendi testlerimiz).",{"type":32,"tag":33,"props":1009,"children":1010},{},[1011,1013,1022],{"type":37,"value":1012},"Bu taktikler ",{"type":32,"tag":1014,"props":1015,"children":1019},"a",{"href":1016,"rel":1017},"https:\u002F\u002Fwww.roibase.com.tr\u002Ftr\u002Fgeo",[1018],"nofollow",[1020],{"type":37,"value":1021},"Generative Engine Optimization",{"type":37,"value":1023}," discipline'inin alt kümesi — semantic index optimizasyonu, backlink optimizasyonundan daha karmaşık.",{"type":32,"tag":40,"props":1025,"children":1027},{"id":1026},"citation-metricleri-attributiona-bağlamak",[1028],{"type":37,"value":1029},"Citation Metric'leri Attribution'a Bağlamak",{"type":32,"tag":33,"props":1031,"children":1032},{},[1033],{"type":37,"value":1034},"Citation rate yükseldi, iyi. Ama bu business metric'e nasıl çevrilir? LLM citation'ı → branded search → conversion path'ini görmek için attribution model kurun.",{"type":32,"tag":33,"props":1036,"children":1037},{},[1038],{"type":32,"tag":79,"props":1039,"children":1040},{},[1041],{"type":37,"value":1042},"Metodoloji:",{"type":32,"tag":71,"props":1044,"children":1045},{},[1046,1064,1074],{"type":32,"tag":75,"props":1047,"children":1048},{},[1049,1054,1056,1062],{"type":32,"tag":79,"props":1050,"children":1051},{},[1052],{"type":37,"value":1053},"LLM referral tagging:",{"type":37,"value":1055}," Citation'da markanız göründüğünde kullanıcı site'nize gelirse ",{"type":32,"tag":57,"props":1057,"children":1059},{"className":1058},[],[1060],{"type":37,"value":1061},"utm_source=llm_citation",{"type":37,"value":1063}," tag'i ekleyin. Nasıl? Perplexity\u002FChatGPT link'lerinde UTM yok — ama %12 kullanıcı sonradan branded search yapıyor.",{"type":32,"tag":75,"props":1065,"children":1066},{},[1067,1072],{"type":32,"tag":79,"props":1068,"children":1069},{},[1070],{"type":37,"value":1071},"Branded search spike correlation:",{"type":37,"value":1073}," Citation rate artışıyla branded search volume artışı arasında 7 günlük lag ile %0.68 korelasyon var (kendi verimiz, 14 aylık). Citation rate %5'ten %11'e çıktığında branded search 3 hafta içinde %28 arttı.",{"type":32,"tag":75,"props":1075,"children":1076},{},[1077,1082],{"type":32,"tag":79,"props":1078,"children":1079},{},[1080],{"type":37,"value":1081},"Holdout test:",{"type":37,"value":1083}," Citation campaign'i bir kategori vertical'da çalıştırın, diğerinde çalıştırmayın. Branded search farkını izleyin. Biz e-commerce vertical'da GEO'yu agresif push ettik, SaaS vertical'da baseline bıraktık — 6 ayda e-com branded %43 lift, SaaS %8 lift.",{"type":32,"tag":33,"props":1085,"children":1086},{},[1087,1089,1096],{"type":37,"value":1088},"Citation → conversion attribution modeli için ",{"type":32,"tag":1014,"props":1090,"children":1093},{"href":1091,"rel":1092},"https:\u002F\u002Fwww.roibase.com.tr\u002Ftr\u002Ffirstparty",[1018],[1094],{"type":37,"value":1095},"First-Party Veri & Ölçüm Mimarisi",{"type":37,"value":1097}," gerekiyor — GA4 bunu yakalamıyor çünkü LLM referral'ı direct traffic olarak görüyor.",{"type":32,"tag":40,"props":1099,"children":1101},{"id":1100},"dashboard-citation-metriclerini-görselleştirmek",[1102],{"type":37,"value":1103},"Dashboard: Citation Metric'lerini Görselleştirmek",{"type":32,"tag":33,"props":1105,"children":1106},{},[1107],{"type":37,"value":1108},"Citation tracking stack'iniz data lake'e yazıyor. Şimdi executive dashboard'a çevirin. 3 kritik görselleştirme:",{"type":32,"tag":33,"props":1110,"children":1111},{},[1112,1117],{"type":32,"tag":79,"props":1113,"children":1114},{},[1115],{"type":37,"value":1116},"1. Citation rate time series",{"type":37,"value":1118}," — Haftalık citation rate, engine breakdown ile. Y ekseni %0-15, X ekseni 12 hafta. 3 çizgi: Perplexity (turuncu), ChatGPT (yeşil), Gemini (mavi). Gemini'de spike görürseniz Google SGE'ye priority verin — data share olabilir.",{"type":32,"tag":33,"props":1120,"children":1121},{},[1122,1127],{"type":32,"tag":79,"props":1123,"children":1124},{},[1125],{"type":37,"value":1126},"2. Share of voice competitive chart",{"type":37,"value":1128}," — Horizontal bar chart: sizin domain + top 5 competitor. En üstte siz olmalısınız. Rakip %18 SoV'da, siz %6'daysa topical authority kaybediyorsunuz — içerik cluster'ı yoktur.",{"type":32,"tag":33,"props":1130,"children":1131},{},[1132,1137],{"type":32,"tag":79,"props":1133,"children":1134},{},[1135],{"type":37,"value":1136},"3. Citation context quality heatmap",{"type":37,"value":1138}," — X ekseni query kategorileri (product, pricing, comparison), Y ekseni citation context uzunluğu bin'leri (0-20, 20-40, 40+). Koyu yeşil = çok citation + uzun context. Beyaz = cite yok. Pricing category'nizde beyaz görüyorsanız pricing page'inizi LLM-optimize edin.",{"type":32,"tag":33,"props":1140,"children":1141},{},[1142],{"type":37,"value":1143},"Dashboard'u haftalık revenue call'da gösterin. CMO citation rate'i görünce \"bu ne işimize yarar\" diyecek — branded search korelasyonunu gösterin. CFO ROI soracak — LLM traffic attribution model'ini gösterin.",{"type":32,"tag":33,"props":1145,"children":1146},{},[1147],{"type":37,"value":1148},"Citation metric'leri GA4'le karşılaştırmayın — farklı funnel stage'ler. GA4 \"site ziyareti\" ölçer, citation \"marka farkındalığı\" ölçer. Citation awareness metric'i, GA4 consideration metric'i.",{"type":32,"tag":40,"props":1150,"children":1152},{"id":1151},"şimdi-yapmanız-gereken",[1153],{"type":37,"value":1154},"Şimdi Yapmanız Gereken",{"type":32,"tag":33,"props":1156,"children":1157},{},[1158],{"type":37,"value":1159},"LLM citation tracking kurmadan GEO yapıyorsanız kör uçuyorsunuz. İlk hafta: GSC query export et → 50 query sample al → 3 LLM'de manuel test çalıştır → kaç kez cite edildin? Bu baseline'ınız. İkinci hafta: tracking stack'ini kur (n8n + Claude). Üçüncü hafta: ilk GEO taktiklerini uygula (structured answer, stat injection). Dördüncü hafta: citation rate'e bak — baseline'dan sapma var mı?",{"type":32,"tag":33,"props":1161,"children":1162},{},[1163],{"type":37,"value":1164},"Citation rate industry'nizde %8'in üzerindeyse topical authority'niz var. Altındaysa semantic gap doldurmanız lazım. %3'ten %8'e çıkmak 6 ay sürer — içerik cluster + freshness + structured format'ın kombinasyonu. Ama %8'e ulaştığınızda branded search'te lift görmeye başlarsınız. Citation rate yeni north star metriğiniz — CTR kadar kritik, çünkü kullanıcılar artık tıklamadan karar veriyor.",{"type":32,"tag":1166,"props":1167,"children":1168},"style",{},[1169],{"type":37,"value":1170},"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);}",{"title":16,"searchDepth":242,"depth":242,"links":1172},[1173,1174,1175,1176,1177,1178,1179],{"id":42,"depth":217,"text":45},{"id":108,"depth":217,"text":111},{"id":802,"depth":217,"text":805},{"id":897,"depth":217,"text":900},{"id":1026,"depth":217,"text":1029},{"id":1100,"depth":217,"text":1103},{"id":1151,"depth":217,"text":1154},"content:tr:ai:llm-citation-olcumu-yeni-seo-metrik-setiniz.md","content","tr\u002Fai\u002Fllm-citation-olcumu-yeni-seo-metrik-setiniz.md","tr\u002Fai\u002Fllm-citation-olcumu-yeni-seo-metrik-setiniz","md",1778681006355]