[{"data":1,"prerenderedAt":1779},["ShallowReactive",2],{"article-alternates":3,"article-\u002Fru\u002Fai\u002Fllm-atif-olcumu-yeni-seo-metrik-seti":13},{"i18nKey":4,"paths":5},"ai-002-2026-07",{"de":6,"en":7,"es":8,"fr":9,"it":10,"ru":11,"tr":12},"\u002Fde\u002Fai\u002Fllm-zitierungsmetriken","\u002Fen\u002Fai\u002Fllm-citation-measurement-new-seo-metrics","\u002Fes\u002Fai\u002Fmedicion-de-citacion-llm","\u002Ffr\u002Fai\u002Fmesure-des-citations-llm","\u002Fit\u002Fai\u002Fmisurazione-citazioni-llm","\u002Fru\u002Fai\u002Fllm-citation-measurement","\u002Ftr\u002Fai\u002Fllm-citation-olcumu-yeni-seo-metrik-setiniz",{"_path":14,"_dir":15,"_draft":16,"_partial":16,"_locale":17,"title":18,"description":19,"publishedAt":20,"modifiedAt":20,"category":15,"i18nKey":4,"tags":21,"readingTime":27,"author":28,"body":29,"_type":1773,"_id":1774,"_source":1775,"_file":1776,"_stem":1777,"_extension":1778},"\u002Fru\u002Fai\u002Fllm-atif-olcumu-yeni-seo-metrik-seti","ai",false,"","Измерение LLM Citation — ваш новый набор метрик SEO","Как измерить долю упоминаний вашего бренда в Perplexity, ChatGPT и Gemini? Руководство по настройке критических метрик для GEO.","2026-07-25",[22,23,24,25,26],"llm-citation","geo","seo-metrics","ai-search","attribution",8,"Roibase",{"type":30,"children":31,"toc":1760},"root",[32,48,55,67,72,84,90,95,109,155,198,240,261,267,272,279,443,451,470,475,481,493,611,621,627,632,777,782,788,801,806,827,840,884,916,985,997,1003,1023,1031,1047,1055,1080,1085,1106,1273,1282,1288,1300,1305,1322,1342,1701,1714,1734,1740,1754],{"type":33,"tag":34,"props":35,"children":36},"element","p",{},[37,40,46],{"type":38,"value":39},"text","Органический трафик падает, прямые переходы в Google Analytics растут, но вы не знаете, какие запросы теперь отвечает ChatGPT вместо того, чтобы вести пользователей на ваш сайт. В середине 2026 года LLM'ы захватили 23% поискового трафика (SimilarWeb Q2 2026). Вместо того чтобы пытаться вернуть этот трафик, вам нужно начать измерять ",{"type":33,"tag":41,"props":42,"children":43},"strong",{},[44],{"type":38,"value":45},"долю упоминаний вашего сайта как источника",{"type":38,"value":47}," в LLM'ах. Добавьте новый слой в метрики SEO: citation rate, source prominence, retrieval frequency.",{"type":33,"tag":49,"props":50,"children":52},"h2",{"id":51},"что-такое-llm-citation-и-почему-нужно-измерять-сейчас",[53],{"type":38,"value":54},"Что такое LLM Citation и почему нужно измерять сейчас",{"type":33,"tag":34,"props":56,"children":57},{},[58,60,65],{"type":38,"value":59},"LLM citation — это доля случаев, когда генеративная модель упоминает ваш бренд или контент ",{"type":33,"tag":41,"props":61,"children":62},{},[63],{"type":38,"value":64},"как источник",{"type":38,"value":66}," при ответе на вопрос пользователя. Если ChatGPT пишет \"Источник: roibase.com.tr\", Perplexity добавляет встроенную ссылку или Gemini указывает сайт в сноске — вы получили citation.",{"type":33,"tag":34,"props":68,"children":69},{},[70],{"type":38,"value":71},"В классическом SEO была \"рейтинг\" — быть на 3-м месте в Google. В эпоху LLM это \"citation prominence\" — если модель показывает 4 источника, какова ваша доля? Вы первый источник или находитесь в списке \"похожих источников\" в конце? Эта разница влияет на CTR на 300% (Perplexity Labs internal data, Q1 2026).",{"type":33,"tag":34,"props":73,"children":74},{},[75,77,82],{"type":38,"value":76},"Если не начнете измерять сейчас, через 6 месяцев не сможете ответить: \"Принесли ли результаты наши GEO усилия?\" Первый шаг — создать ",{"type":33,"tag":41,"props":78,"children":79},{},[80],{"type":38,"value":81},"синтетический набор запросов",{"type":38,"value":83}," и регулярно опрашивать LLM'ы.",{"type":33,"tag":49,"props":85,"children":87},{"id":86},"построение-архитектуры-измерения-синтетический-конвейер-запросов",[88],{"type":38,"value":89},"Построение архитектуры измерения: Синтетический конвейер запросов",{"type":33,"tag":34,"props":91,"children":92},{},[93],{"type":38,"value":94},"Ручные тесты для измерения LLM citation недостаточны. Вам нужно ежедневно отправлять одни и те же 50–100 запросов в Perplexity, ChatGPT и Gemini и парсить ссылки на источники в ответах. Используйте трёхуровневый конвейер:",{"type":33,"tag":34,"props":96,"children":97},{},[98,103,107],{"type":33,"tag":41,"props":99,"children":100},{},[101],{"type":38,"value":102},"Уровень 1: Дизайн набора запросов",{"type":33,"tag":104,"props":105,"children":106},"br",{},[],{"type":38,"value":108},"\nИзвлеките из Search Console последние 90 дней запросы с высоким числом показов, позицией 1–20 и CTR ниже 5%. Эти запросы означают \"мы видны в Google, но не получаем клики\" — LLM'ы уже отвечают на них. Выберите 50–100 запросов. Не только брендовые — смешайте информационные и транзакционные. Примеры: \"длительность cookie в server-side GTM\", \"оптимизация стоимости BigQuery\".",{"type":33,"tag":34,"props":110,"children":111},{},[112,117,120,122,129,131,137,139,145,147,153],{"type":33,"tag":41,"props":113,"children":114},{},[115],{"type":38,"value":116},"Уровень 2: Автоматизированный запрос",{"type":33,"tag":104,"props":118,"children":119},{},[],{"type":38,"value":121},"\nСоздайте рабочий процесс n8n, который раз в день обращается к API каждого LLM. Для Perplexity используйте параметр ",{"type":33,"tag":123,"props":124,"children":126},"code",{"className":125},[],[127],{"type":38,"value":128},"model: sonar-pro",{"type":38,"value":130},", для ChatGPT — режим ",{"type":33,"tag":123,"props":132,"children":134},{"className":133},[],[135],{"type":38,"value":136},"browsing: true",{"type":38,"value":138},", для Gemini — ",{"type":33,"tag":123,"props":140,"children":142},{"className":141},[],[143],{"type":38,"value":144},"grounding: web",{"type":38,"value":146},". Сохраняйте ответ в JSON — и основной текст, и массив ",{"type":33,"tag":123,"props":148,"children":150},{"className":149},[],[151],{"type":38,"value":152},"sources",{"type":38,"value":154},". Важно: управляйте rate limits (Perplexity free tier — 5 req\u002Fmin, ChatGPT Plus — 40 req\u002F3 часа).",{"type":33,"tag":34,"props":156,"children":157},{},[158,163,166,168,173,175,181,183,188,190,196],{"type":33,"tag":41,"props":159,"children":160},{},[161],{"type":38,"value":162},"Уровень 3: Парсер Citation",{"type":33,"tag":104,"props":164,"children":165},{},[],{"type":38,"value":167},"\nВ ответе JSON найдите ключ ",{"type":33,"tag":123,"props":169,"children":171},{"className":170},[],[172],{"type":38,"value":152},{"type":38,"value":174}," — обойдите массив и проверьте совпадение домена (",{"type":33,"tag":123,"props":176,"children":178},{"className":177},[],[179],{"type":38,"value":180},"roibase.com.tr",{"type":38,"value":182}," или поддомен). Если ",{"type":33,"tag":123,"props":184,"children":186},{"className":185},[],[187],{"type":38,"value":152},{"type":38,"value":189}," нет, ищите в тексте встроенную ссылку (",{"type":33,"tag":123,"props":191,"children":193},{"className":192},[],[194],{"type":38,"value":195},"[ссылка](...)",{"type":38,"value":197},") или простой URL (regex). Для каждого запроса сохраняйте 3 метрики:",{"type":33,"tag":199,"props":200,"children":201},"ol",{},[202,213,230],{"type":33,"tag":203,"props":204,"children":205},"li",{},[206,211],{"type":33,"tag":41,"props":207,"children":208},{},[209],{"type":38,"value":210},"Citation exists:",{"type":38,"value":212}," boolean (0\u002F1)",{"type":33,"tag":203,"props":214,"children":215},{},[216,221,223,228],{"type":33,"tag":41,"props":217,"children":218},{},[219],{"type":38,"value":220},"Ranking:",{"type":38,"value":222}," позиция в массиве ",{"type":33,"tag":123,"props":224,"children":226},{"className":225},[],[227],{"type":38,"value":152},{"type":38,"value":229}," (1–5, иначе null)",{"type":33,"tag":203,"props":231,"children":232},{},[233,238],{"type":33,"tag":41,"props":234,"children":235},{},[236],{"type":38,"value":237},"Prominence:",{"type":38,"value":239}," встроенная в текст или только в сносках (встроенная = 2, сноска = 1, отсутствует = 0)",{"type":33,"tag":34,"props":241,"children":242},{},[243,245,251,253,259],{"type":38,"value":244},"Запишите данные в BigQuery в таблицу ",{"type":33,"tag":123,"props":246,"children":248},{"className":247},[],[249],{"type":38,"value":250},"llm_citations",{"type":38,"value":252}," — схема: ",{"type":33,"tag":123,"props":254,"children":256},{"className":255},[],[257],{"type":38,"value":258},"query_id, llm_provider, date, cited, rank, prominence",{"type":38,"value":260},".",{"type":33,"tag":49,"props":262,"children":264},{"id":263},"расчёт-citation-rate-и-benchmark",[265],{"type":38,"value":266},"Расчёт Citation Rate и Benchmark",{"type":33,"tag":34,"props":268,"children":269},{},[270],{"type":38,"value":271},"Если запускаете 50 запросов раз в день в течение 30 дней в 3 LLM'ах, получаете 50 × 3 × 30 = 4.500 строк данных. Теперь рассчитайте метрики:",{"type":33,"tag":273,"props":274,"children":276},"h3",{"id":275},"_1-общий-citation-rate",[277],{"type":38,"value":278},"1. Общий Citation Rate",{"type":33,"tag":280,"props":281,"children":285},"pre",{"className":282,"code":283,"language":284,"meta":17,"style":17},"language-sql shiki shiki-themes github-dark","SELECT \n  llm_provider,\n  COUNTIF(cited = 1) \u002F COUNT(*) AS citation_rate\nFROM `project.dataset.llm_citations`\nWHERE date >= DATE_SUB(CURRENT_DATE(), INTERVAL 30 DAY)\nGROUP BY llm_provider;\n","sql",[286],{"type":33,"tag":123,"props":287,"children":288},{"__ignoreMap":17},[289,307,316,375,390,429],{"type":33,"tag":290,"props":291,"children":294},"span",{"class":292,"line":293},"line",1,[295,301],{"type":33,"tag":290,"props":296,"children":298},{"style":297},"--shiki-default:#F97583",[299],{"type":38,"value":300},"SELECT",{"type":33,"tag":290,"props":302,"children":304},{"style":303},"--shiki-default:#E1E4E8",[305],{"type":38,"value":306}," \n",{"type":33,"tag":290,"props":308,"children":310},{"class":292,"line":309},2,[311],{"type":33,"tag":290,"props":312,"children":313},{"style":303},[314],{"type":38,"value":315},"  llm_provider,\n",{"type":33,"tag":290,"props":317,"children":319},{"class":292,"line":318},3,[320,325,330,336,341,346,351,356,361,365,370],{"type":33,"tag":290,"props":321,"children":322},{"style":303},[323],{"type":38,"value":324},"  COUNTIF(cited ",{"type":33,"tag":290,"props":326,"children":327},{"style":297},[328],{"type":38,"value":329},"=",{"type":33,"tag":290,"props":331,"children":333},{"style":332},"--shiki-default:#79B8FF",[334],{"type":38,"value":335}," 1",{"type":33,"tag":290,"props":337,"children":338},{"style":303},[339],{"type":38,"value":340},") ",{"type":33,"tag":290,"props":342,"children":343},{"style":297},[344],{"type":38,"value":345},"\u002F",{"type":33,"tag":290,"props":347,"children":348},{"style":332},[349],{"type":38,"value":350}," COUNT",{"type":33,"tag":290,"props":352,"children":353},{"style":303},[354],{"type":38,"value":355},"(",{"type":33,"tag":290,"props":357,"children":358},{"style":297},[359],{"type":38,"value":360},"*",{"type":33,"tag":290,"props":362,"children":363},{"style":303},[364],{"type":38,"value":340},{"type":33,"tag":290,"props":366,"children":367},{"style":297},[368],{"type":38,"value":369},"AS",{"type":33,"tag":290,"props":371,"children":372},{"style":303},[373],{"type":38,"value":374}," citation_rate\n",{"type":33,"tag":290,"props":376,"children":378},{"class":292,"line":377},4,[379,384],{"type":33,"tag":290,"props":380,"children":381},{"style":297},[382],{"type":38,"value":383},"FROM",{"type":33,"tag":290,"props":385,"children":387},{"style":386},"--shiki-default:#9ECBFF",[388],{"type":38,"value":389}," `project.dataset.llm_citations`\n",{"type":33,"tag":290,"props":391,"children":393},{"class":292,"line":392},5,[394,399,404,409,414,419,424],{"type":33,"tag":290,"props":395,"children":396},{"style":297},[397],{"type":38,"value":398},"WHERE",{"type":33,"tag":290,"props":400,"children":401},{"style":297},[402],{"type":38,"value":403}," date",{"type":33,"tag":290,"props":405,"children":406},{"style":297},[407],{"type":38,"value":408}," >=",{"type":33,"tag":290,"props":410,"children":411},{"style":303},[412],{"type":38,"value":413}," DATE_SUB(CURRENT_DATE(), INTERVAL ",{"type":33,"tag":290,"props":415,"children":416},{"style":332},[417],{"type":38,"value":418},"30",{"type":33,"tag":290,"props":420,"children":421},{"style":297},[422],{"type":38,"value":423}," DAY",{"type":33,"tag":290,"props":425,"children":426},{"style":303},[427],{"type":38,"value":428},")\n",{"type":33,"tag":290,"props":430,"children":432},{"class":292,"line":431},6,[433,438],{"type":33,"tag":290,"props":434,"children":435},{"style":297},[436],{"type":38,"value":437},"GROUP BY",{"type":33,"tag":290,"props":439,"children":440},{"style":303},[441],{"type":38,"value":442}," llm_provider;\n",{"type":33,"tag":34,"props":444,"children":445},{},[446],{"type":33,"tag":41,"props":447,"children":448},{},[449],{"type":38,"value":450},"Benchmark (B2B SaaS Q2 2026):",{"type":33,"tag":452,"props":453,"children":454},"ul",{},[455,460,465],{"type":33,"tag":203,"props":456,"children":457},{},[458],{"type":38,"value":459},"Perplexity: 18–24%",{"type":33,"tag":203,"props":461,"children":462},{},[463],{"type":38,"value":464},"ChatGPT browsing: 12–16%",{"type":33,"tag":203,"props":466,"children":467},{},[468],{"type":38,"value":469},"Gemini grounding: 8–14%",{"type":33,"tag":34,"props":471,"children":472},{},[473],{"type":38,"value":474},"Если на Perplexity ниже 12%, это признак проблемы с GEO — контент не оптимизирован для retrieval.",{"type":33,"tag":273,"props":476,"children":478},{"id":477},"_2-primary-source-rate",[479],{"type":38,"value":480},"2. Primary Source Rate",{"type":33,"tag":34,"props":482,"children":483},{},[484,486,491],{"type":38,"value":485},"Как часто вы — ",{"type":33,"tag":41,"props":487,"children":488},{},[489],{"type":38,"value":490},"первый указанный источник",{"type":38,"value":492},", когда вас цитируют:",{"type":33,"tag":280,"props":494,"children":496},{"className":282,"code":495,"language":284,"meta":17,"style":17},"SELECT \n  llm_provider,\n  COUNTIF(rank = 1) \u002F COUNTIF(cited = 1) AS primary_rate\nFROM `project.dataset.llm_citations`\nWHERE cited = 1\nGROUP BY llm_provider;\n",[497],{"type":33,"tag":123,"props":498,"children":499},{"__ignoreMap":17},[500,511,518,568,579,600],{"type":33,"tag":290,"props":501,"children":502},{"class":292,"line":293},[503,507],{"type":33,"tag":290,"props":504,"children":505},{"style":297},[506],{"type":38,"value":300},{"type":33,"tag":290,"props":508,"children":509},{"style":303},[510],{"type":38,"value":306},{"type":33,"tag":290,"props":512,"children":513},{"class":292,"line":309},[514],{"type":33,"tag":290,"props":515,"children":516},{"style":303},[517],{"type":38,"value":315},{"type":33,"tag":290,"props":519,"children":520},{"class":292,"line":318},[521,526,530,534,538,542,547,551,555,559,563],{"type":33,"tag":290,"props":522,"children":523},{"style":303},[524],{"type":38,"value":525},"  COUNTIF(rank ",{"type":33,"tag":290,"props":527,"children":528},{"style":297},[529],{"type":38,"value":329},{"type":33,"tag":290,"props":531,"children":532},{"style":332},[533],{"type":38,"value":335},{"type":33,"tag":290,"props":535,"children":536},{"style":303},[537],{"type":38,"value":340},{"type":33,"tag":290,"props":539,"children":540},{"style":297},[541],{"type":38,"value":345},{"type":33,"tag":290,"props":543,"children":544},{"style":303},[545],{"type":38,"value":546}," COUNTIF(cited ",{"type":33,"tag":290,"props":548,"children":549},{"style":297},[550],{"type":38,"value":329},{"type":33,"tag":290,"props":552,"children":553},{"style":332},[554],{"type":38,"value":335},{"type":33,"tag":290,"props":556,"children":557},{"style":303},[558],{"type":38,"value":340},{"type":33,"tag":290,"props":560,"children":561},{"style":297},[562],{"type":38,"value":369},{"type":33,"tag":290,"props":564,"children":565},{"style":303},[566],{"type":38,"value":567}," primary_rate\n",{"type":33,"tag":290,"props":569,"children":570},{"class":292,"line":377},[571,575],{"type":33,"tag":290,"props":572,"children":573},{"style":297},[574],{"type":38,"value":383},{"type":33,"tag":290,"props":576,"children":577},{"style":386},[578],{"type":38,"value":389},{"type":33,"tag":290,"props":580,"children":581},{"class":292,"line":392},[582,586,591,595],{"type":33,"tag":290,"props":583,"children":584},{"style":297},[585],{"type":38,"value":398},{"type":33,"tag":290,"props":587,"children":588},{"style":303},[589],{"type":38,"value":590}," cited ",{"type":33,"tag":290,"props":592,"children":593},{"style":297},[594],{"type":38,"value":329},{"type":33,"tag":290,"props":596,"children":597},{"style":332},[598],{"type":38,"value":599}," 1\n",{"type":33,"tag":290,"props":601,"children":602},{"class":292,"line":431},[603,607],{"type":33,"tag":290,"props":604,"children":605},{"style":297},[606],{"type":38,"value":437},{"type":33,"tag":290,"props":608,"children":609},{"style":303},[610],{"type":38,"value":442},{"type":33,"tag":34,"props":612,"children":613},{},[614,619],{"type":33,"tag":41,"props":615,"children":616},{},[617],{"type":38,"value":618},"Целевой показатель:",{"type":38,"value":620}," 40%+ (если цитируют, в 4 из 10 случаев вы должны быть первым источником). Ниже 20% — слабой signal релевантности, вероятно, низкое сходство embedding при retrieval.",{"type":33,"tag":273,"props":622,"children":624},{"id":623},"_3-volatility-запросов",[625],{"type":38,"value":626},"3. Volatility запросов",{"type":33,"tag":34,"props":628,"children":629},{},[630],{"type":38,"value":631},"Для каждого запроса рассчитайте дисперсию citation за 30 дней — если вас всегда цитируют, volatility низкая; если иногда да, иногда нет — высокая. Высокая volatility означает, что LLM часто обновляет индекс или конкуренты вас оттеснили.",{"type":33,"tag":280,"props":633,"children":635},{"className":282,"code":634,"language":284,"meta":17,"style":17},"SELECT \n  query_id,\n  STDDEV(cited) AS citation_volatility\nFROM `project.dataset.llm_citations`\nWHERE llm_provider = 'perplexity'\nGROUP BY query_id\nHAVING COUNT(*) >= 20\nORDER BY citation_volatility DESC;\n",[636],{"type":33,"tag":123,"props":637,"children":638},{"__ignoreMap":17},[639,650,658,675,686,707,719,754],{"type":33,"tag":290,"props":640,"children":641},{"class":292,"line":293},[642,646],{"type":33,"tag":290,"props":643,"children":644},{"style":297},[645],{"type":38,"value":300},{"type":33,"tag":290,"props":647,"children":648},{"style":303},[649],{"type":38,"value":306},{"type":33,"tag":290,"props":651,"children":652},{"class":292,"line":309},[653],{"type":33,"tag":290,"props":654,"children":655},{"style":303},[656],{"type":38,"value":657},"  query_id,\n",{"type":33,"tag":290,"props":659,"children":660},{"class":292,"line":318},[661,666,670],{"type":33,"tag":290,"props":662,"children":663},{"style":303},[664],{"type":38,"value":665},"  STDDEV(cited) ",{"type":33,"tag":290,"props":667,"children":668},{"style":297},[669],{"type":38,"value":369},{"type":33,"tag":290,"props":671,"children":672},{"style":303},[673],{"type":38,"value":674}," citation_volatility\n",{"type":33,"tag":290,"props":676,"children":677},{"class":292,"line":377},[678,682],{"type":33,"tag":290,"props":679,"children":680},{"style":297},[681],{"type":38,"value":383},{"type":33,"tag":290,"props":683,"children":684},{"style":386},[685],{"type":38,"value":389},{"type":33,"tag":290,"props":687,"children":688},{"class":292,"line":392},[689,693,698,702],{"type":33,"tag":290,"props":690,"children":691},{"style":297},[692],{"type":38,"value":398},{"type":33,"tag":290,"props":694,"children":695},{"style":303},[696],{"type":38,"value":697}," llm_provider ",{"type":33,"tag":290,"props":699,"children":700},{"style":297},[701],{"type":38,"value":329},{"type":33,"tag":290,"props":703,"children":704},{"style":386},[705],{"type":38,"value":706}," 'perplexity'\n",{"type":33,"tag":290,"props":708,"children":709},{"class":292,"line":431},[710,714],{"type":33,"tag":290,"props":711,"children":712},{"style":297},[713],{"type":38,"value":437},{"type":33,"tag":290,"props":715,"children":716},{"style":303},[717],{"type":38,"value":718}," query_id\n",{"type":33,"tag":290,"props":720,"children":722},{"class":292,"line":721},7,[723,728,732,736,740,744,749],{"type":33,"tag":290,"props":724,"children":725},{"style":297},[726],{"type":38,"value":727},"HAVING",{"type":33,"tag":290,"props":729,"children":730},{"style":332},[731],{"type":38,"value":350},{"type":33,"tag":290,"props":733,"children":734},{"style":303},[735],{"type":38,"value":355},{"type":33,"tag":290,"props":737,"children":738},{"style":297},[739],{"type":38,"value":360},{"type":33,"tag":290,"props":741,"children":742},{"style":303},[743],{"type":38,"value":340},{"type":33,"tag":290,"props":745,"children":746},{"style":297},[747],{"type":38,"value":748},">=",{"type":33,"tag":290,"props":750,"children":751},{"style":332},[752],{"type":38,"value":753}," 20\n",{"type":33,"tag":290,"props":755,"children":756},{"class":292,"line":27},[757,762,767,772],{"type":33,"tag":290,"props":758,"children":759},{"style":297},[760],{"type":38,"value":761},"ORDER BY",{"type":33,"tag":290,"props":763,"children":764},{"style":303},[765],{"type":38,"value":766}," citation_volatility ",{"type":33,"tag":290,"props":768,"children":769},{"style":297},[770],{"type":38,"value":771},"DESC",{"type":33,"tag":290,"props":773,"children":774},{"style":303},[775],{"type":38,"value":776},";\n",{"type":33,"tag":34,"props":778,"children":779},{},[780],{"type":38,"value":781},"Volatility > 0.4 — перепроверьте запрос вручную. Вероятно, проблема свежести (контент опубликован 6 месяцев назад, LLM предпочитает новые источники).",{"type":33,"tag":49,"props":783,"children":785},{"id":784},"компромисс-атрибуции-direct-traffic-или-llm-referral",[786],{"type":38,"value":787},"Компромисс атрибуции: Direct Traffic или LLM Referral",{"type":33,"tag":34,"props":789,"children":790},{},[791,793,799],{"type":38,"value":792},"Побочный эффект получения LLM citation: в Google Analytics растет direct traffic, но вы не знаете, откуда он из LLM. Потому что клики из веб-интерфейса ChatGPT отображаются как ",{"type":33,"tag":123,"props":794,"children":796},{"className":795},[],[797],{"type":38,"value":798},"(direct) \u002F (none)",{"type":38,"value":800}," — нет referrer header.",{"type":33,"tag":34,"props":802,"children":803},{},[804],{"type":38,"value":805},"Решайте двумя способами:",{"type":33,"tag":34,"props":807,"children":808},{},[809,814,817,819,825],{"type":33,"tag":41,"props":810,"children":811},{},[812],{"type":38,"value":813},"Метод 1: UTM Injection (в API LLM)",{"type":33,"tag":104,"props":815,"children":816},{},[],{"type":38,"value":818},"\nЕсли отправляете контент через API LLM (например Perplexity Publisher API), добавляйте к URL ",{"type":33,"tag":123,"props":820,"children":822},{"className":821},[],[823],{"type":38,"value":824},"?utm_source=perplexity&utm_medium=llm&utm_campaign=citation",{"type":38,"value":826},". Тогда в GA4 видна будет source. Но работает только с LLM'ами, использующими API — для веб-краулинга ChatGPT UTM не поможет.",{"type":33,"tag":34,"props":828,"children":829},{},[830,835,838],{"type":33,"tag":41,"props":831,"children":832},{},[833],{"type":38,"value":834},"Метод 2: Server-Side Fingerprinting",{"type":33,"tag":104,"props":836,"children":837},{},[],{"type":38,"value":839},"\nBot'ы LLM'ов используют определённые паттерны User-Agent:",{"type":33,"tag":452,"props":841,"children":842},{},[843,854,873],{"type":33,"tag":203,"props":844,"children":845},{},[846,848],{"type":38,"value":847},"Perplexity: ",{"type":33,"tag":123,"props":849,"children":851},{"className":850},[],[852],{"type":38,"value":853},"PerplexityBot",{"type":33,"tag":203,"props":855,"children":856},{},[857,859,865,867],{"type":38,"value":858},"ChatGPT: ",{"type":33,"tag":123,"props":860,"children":862},{"className":861},[],[863],{"type":38,"value":864},"ChatGPT-User",{"type":38,"value":866}," или ",{"type":33,"tag":123,"props":868,"children":870},{"className":869},[],[871],{"type":38,"value":872},"GPTBot",{"type":33,"tag":203,"props":874,"children":875},{},[876,878],{"type":38,"value":877},"Gemini: ",{"type":33,"tag":123,"props":879,"children":881},{"className":880},[],[882],{"type":38,"value":883},"Google-Extended",{"type":33,"tag":34,"props":885,"children":886},{},[887,889,898,900,906,908,914],{"type":38,"value":888},"Фильтруйте эти User-Agent в логах сервера и отправляйте в GA4 как server-side event через ",{"type":33,"tag":890,"props":891,"children":895},"a",{"href":892,"rel":893},"https:\u002F\u002Fwww.roibase.com.tr\u002Fru\u002Ffirstparty",[894],"nofollow",[896],{"type":38,"value":897},"First-Party Вступление & Архитектура измерения",{"type":38,"value":899},". Event name: ",{"type":33,"tag":123,"props":901,"children":903},{"className":902},[],[904],{"type":38,"value":905},"llm_visit",{"type":38,"value":907},", параметр: ",{"type":33,"tag":123,"props":909,"children":911},{"className":910},[],[912],{"type":38,"value":913},"llm_provider",{"type":38,"value":915},". Так различаете LLM в \"прямом\" трафике.",{"type":33,"tag":917,"props":918,"children":919},"table",{},[920,944],{"type":33,"tag":921,"props":922,"children":923},"thead",{},[924],{"type":33,"tag":925,"props":926,"children":927},"tr",{},[928,934,939],{"type":33,"tag":929,"props":930,"children":931},"th",{},[932],{"type":38,"value":933},"Метод",{"type":33,"tag":929,"props":935,"children":936},{},[937],{"type":38,"value":938},"Преимущество",{"type":33,"tag":929,"props":940,"children":941},{},[942],{"type":38,"value":943},"Недостаток",{"type":33,"tag":945,"props":946,"children":947},"tbody",{},[948,967],{"type":33,"tag":925,"props":949,"children":950},{},[951,957,962],{"type":33,"tag":952,"props":953,"children":954},"td",{},[955],{"type":38,"value":956},"UTM Injection",{"type":33,"tag":952,"props":958,"children":959},{},[960],{"type":38,"value":961},"Автоматическое отображение source в GA4",{"type":33,"tag":952,"props":963,"children":964},{},[965],{"type":38,"value":966},"Только API",{"type":33,"tag":925,"props":968,"children":969},{},[970,975,980],{"type":33,"tag":952,"props":971,"children":972},{},[973],{"type":38,"value":974},"Server-Side Fingerprint",{"type":33,"tag":952,"props":976,"children":977},{},[978],{"type":38,"value":979},"Работает для всех LLM'ов",{"type":33,"tag":952,"props":981,"children":982},{},[983],{"type":38,"value":984},"Требует парсинга логов",{"type":33,"tag":34,"props":986,"children":987},{},[988,990,995],{"type":38,"value":989},"Какой бы метод ни выбрали, цель: ",{"type":33,"tag":41,"props":991,"children":992},{},[993],{"type":38,"value":994},"увидеть корреляцию между citation rate и referral traffic",{"type":38,"value":996},". Если citation выросла на 20%, но LLM traffic не вырос — пользователи не кликают несмотря на упоминание. Проблема в prominence или качестве snippet.",{"type":33,"tag":49,"props":998,"children":1000},{"id":999},"citation-prominence-встроенная-или-сноска",[1001],{"type":38,"value":1002},"Citation Prominence: встроенная или сноска",{"type":33,"tag":34,"props":1004,"children":1005},{},[1006,1008,1013,1015,1021],{"type":38,"value":1007},"Вас упомянули, но ",{"type":33,"tag":41,"props":1009,"children":1010},{},[1011],{"type":38,"value":1012},"как",{"type":38,"value":1014},"? Perplexity вставила встроенную ссылку в текст (позиция в предложении с ",{"type":33,"tag":123,"props":1016,"children":1018},{"className":1017},[],[1019],{"type":38,"value":1020},"[1]",{"type":38,"value":1022},") или только в список \"Related sources\" в конце? Эта разница влияет на CTR на 400% (Roibase internal A\u002FB test, n=2.300 запросов).",{"type":33,"tag":34,"props":1024,"children":1025},{},[1026],{"type":33,"tag":41,"props":1027,"children":1028},{},[1029],{"type":38,"value":1030},"Пример встроенной citation:",{"type":33,"tag":1032,"props":1033,"children":1034},"blockquote",{},[1035],{"type":33,"tag":34,"props":1036,"children":1037},{},[1038,1040,1045],{"type":38,"value":1039},"\"Длительность cookie в server-side GTM повышается до 730 дней ",{"type":33,"tag":890,"props":1041,"children":1043},{"href":1042},"roibase.com.tr\u002F...",[1044],{"type":38,"value":1020},{"type":38,"value":1046},".\"",{"type":33,"tag":34,"props":1048,"children":1049},{},[1050],{"type":33,"tag":41,"props":1051,"children":1052},{},[1053],{"type":38,"value":1054},"Пример сноски:",{"type":33,"tag":1032,"props":1056,"children":1057},{},[1058,1068],{"type":33,"tag":34,"props":1059,"children":1060},{},[1061,1063,1066],{"type":38,"value":1062},"\"...доступны несколько способов.",{"type":33,"tag":104,"props":1064,"children":1065},{},[],{"type":38,"value":1067},"\nИсточники:",{"type":33,"tag":199,"props":1069,"children":1070},{},[1071,1075],{"type":33,"tag":203,"props":1072,"children":1073},{},[1074],{"type":38,"value":1042},{"type":33,"tag":203,"props":1076,"children":1077},{},[1078],{"type":38,"value":1079},"competitor.com\u002F...\"",{"type":33,"tag":34,"props":1081,"children":1082},{},[1083],{"type":38,"value":1084},"Встроенная — пользователь видит ссылку в контексте и кликает. Сноска — клик только если ищет \"больше деталей\", intent ниже.",{"type":33,"tag":34,"props":1086,"children":1087},{},[1088,1093,1096,1098,1104],{"type":33,"tag":41,"props":1089,"children":1090},{},[1091],{"type":38,"value":1092},"Расчёт prominence score:",{"type":33,"tag":104,"props":1094,"children":1095},{},[],{"type":38,"value":1097},"\nПри каждом упоминании сохраняйте ",{"type":33,"tag":123,"props":1099,"children":1101},{"className":1100},[],[1102],{"type":38,"value":1103},"position_type",{"type":38,"value":1105}," (inline\u002Ffootnote\u002Fsidebar). За 30 дней усредните:",{"type":33,"tag":280,"props":1107,"children":1109},{"className":282,"code":1108,"language":284,"meta":17,"style":17},"SELECT \n  AVG(CASE \n    WHEN position_type = 'inline' THEN 3\n    WHEN position_type = 'footnote' THEN 1\n    ELSE 0\n  END) AS avg_prominence_score\nFROM `project.dataset.llm_citations`\nWHERE cited = 1;\n",[1110],{"type":33,"tag":123,"props":1111,"children":1112},{"__ignoreMap":17},[1113,1124,1145,1177,1205,1218,1239,1250],{"type":33,"tag":290,"props":1114,"children":1115},{"class":292,"line":293},[1116,1120],{"type":33,"tag":290,"props":1117,"children":1118},{"style":297},[1119],{"type":38,"value":300},{"type":33,"tag":290,"props":1121,"children":1122},{"style":303},[1123],{"type":38,"value":306},{"type":33,"tag":290,"props":1125,"children":1126},{"class":292,"line":309},[1127,1132,1136,1141],{"type":33,"tag":290,"props":1128,"children":1129},{"style":332},[1130],{"type":38,"value":1131},"  AVG",{"type":33,"tag":290,"props":1133,"children":1134},{"style":303},[1135],{"type":38,"value":355},{"type":33,"tag":290,"props":1137,"children":1138},{"style":297},[1139],{"type":38,"value":1140},"CASE",{"type":33,"tag":290,"props":1142,"children":1143},{"style":303},[1144],{"type":38,"value":306},{"type":33,"tag":290,"props":1146,"children":1147},{"class":292,"line":318},[1148,1153,1158,1162,1167,1172],{"type":33,"tag":290,"props":1149,"children":1150},{"style":297},[1151],{"type":38,"value":1152},"    WHEN",{"type":33,"tag":290,"props":1154,"children":1155},{"style":303},[1156],{"type":38,"value":1157}," position_type ",{"type":33,"tag":290,"props":1159,"children":1160},{"style":297},[1161],{"type":38,"value":329},{"type":33,"tag":290,"props":1163,"children":1164},{"style":386},[1165],{"type":38,"value":1166}," 'inline'",{"type":33,"tag":290,"props":1168,"children":1169},{"style":297},[1170],{"type":38,"value":1171}," THEN",{"type":33,"tag":290,"props":1173,"children":1174},{"style":332},[1175],{"type":38,"value":1176}," 3\n",{"type":33,"tag":290,"props":1178,"children":1179},{"class":292,"line":377},[1180,1184,1188,1192,1197,1201],{"type":33,"tag":290,"props":1181,"children":1182},{"style":297},[1183],{"type":38,"value":1152},{"type":33,"tag":290,"props":1185,"children":1186},{"style":303},[1187],{"type":38,"value":1157},{"type":33,"tag":290,"props":1189,"children":1190},{"style":297},[1191],{"type":38,"value":329},{"type":33,"tag":290,"props":1193,"children":1194},{"style":386},[1195],{"type":38,"value":1196}," 'footnote'",{"type":33,"tag":290,"props":1198,"children":1199},{"style":297},[1200],{"type":38,"value":1171},{"type":33,"tag":290,"props":1202,"children":1203},{"style":332},[1204],{"type":38,"value":599},{"type":33,"tag":290,"props":1206,"children":1207},{"class":292,"line":392},[1208,1213],{"type":33,"tag":290,"props":1209,"children":1210},{"style":297},[1211],{"type":38,"value":1212},"    ELSE",{"type":33,"tag":290,"props":1214,"children":1215},{"style":332},[1216],{"type":38,"value":1217}," 0\n",{"type":33,"tag":290,"props":1219,"children":1220},{"class":292,"line":431},[1221,1226,1230,1234],{"type":33,"tag":290,"props":1222,"children":1223},{"style":297},[1224],{"type":38,"value":1225},"  END",{"type":33,"tag":290,"props":1227,"children":1228},{"style":303},[1229],{"type":38,"value":340},{"type":33,"tag":290,"props":1231,"children":1232},{"style":297},[1233],{"type":38,"value":369},{"type":33,"tag":290,"props":1235,"children":1236},{"style":303},[1237],{"type":38,"value":1238}," avg_prominence_score\n",{"type":33,"tag":290,"props":1240,"children":1241},{"class":292,"line":721},[1242,1246],{"type":33,"tag":290,"props":1243,"children":1244},{"style":297},[1245],{"type":38,"value":383},{"type":33,"tag":290,"props":1247,"children":1248},{"style":386},[1249],{"type":38,"value":389},{"type":33,"tag":290,"props":1251,"children":1252},{"class":292,"line":27},[1253,1257,1261,1265,1269],{"type":33,"tag":290,"props":1254,"children":1255},{"style":297},[1256],{"type":38,"value":398},{"type":33,"tag":290,"props":1258,"children":1259},{"style":303},[1260],{"type":38,"value":590},{"type":33,"tag":290,"props":1262,"children":1263},{"style":297},[1264],{"type":38,"value":329},{"type":33,"tag":290,"props":1266,"children":1267},{"style":332},[1268],{"type":38,"value":335},{"type":33,"tag":290,"props":1270,"children":1271},{"style":303},[1272],{"type":38,"value":776},{"type":33,"tag":34,"props":1274,"children":1275},{},[1276,1280],{"type":33,"tag":41,"props":1277,"children":1278},{},[1279],{"type":38,"value":618},{"type":38,"value":1281}," 2.0+ (если цитируют, половина должна быть встроенной). Ниже 1.5 — LLM видит вас как \"дополнительный источник\", не основной. Решение: структурируйте контент так, чтобы LLM брала прямые цитаты — однострочные определения, fact box, code snippet.",{"type":33,"tag":49,"props":1283,"children":1285},{"id":1284},"конкурентный-анализ-source-overlap-по-запросам",[1286],{"type":38,"value":1287},"Конкурентный анализ: Source Overlap по запросам",{"type":33,"tag":34,"props":1289,"children":1290},{},[1291,1293,1298],{"type":38,"value":1292},"На какие запросы конкуренты упоминаются, а вы нет? Парсьте ",{"type":33,"tag":41,"props":1294,"children":1295},{},[1296],{"type":38,"value":1297},"все источники",{"type":38,"value":1299},", которые показывает LLM, не только себя.",{"type":33,"tag":34,"props":1301,"children":1302},{},[1303],{"type":38,"value":1304},"Пример: на запрос \"оптимизация стоимости BigQuery\" Perplexity показывает:",{"type":33,"tag":199,"props":1306,"children":1307},{},[1308,1313,1317],{"type":33,"tag":203,"props":1309,"children":1310},{},[1311],{"type":38,"value":1312},"competitor-a.com",{"type":33,"tag":203,"props":1314,"children":1315},{},[1316],{"type":38,"value":180},{"type":33,"tag":203,"props":1318,"children":1319},{},[1320],{"type":38,"value":1321},"competitor-b.com",{"type":33,"tag":34,"props":1323,"children":1324},{},[1325,1327,1333,1334,1340],{"type":38,"value":1326},"Запишите все источники в таблицу ",{"type":33,"tag":123,"props":1328,"children":1330},{"className":1329},[],[1331],{"type":38,"value":1332},"llm_all_sources",{"type":38,"value":252},{"type":33,"tag":123,"props":1335,"children":1337},{"className":1336},[],[1338],{"type":38,"value":1339},"query_id, llm_provider, date, source_domain, rank",{"type":38,"value":1341},". Теперь рассчитайте \"матрицу overlap\":",{"type":33,"tag":280,"props":1343,"children":1345},{"className":282,"code":1344,"language":284,"meta":17,"style":17},"SELECT \n  a.source_domain AS source_1,\n  b.source_domain AS source_2,\n  COUNT(DISTINCT a.query_id) AS co_citation_count\nFROM `project.dataset.llm_all_sources` a\nJOIN `project.dataset.llm_all_sources` b \n  ON a.query_id = b.query_id \n  AND a.llm_provider = b.llm_provider\n  AND a.date = b.date\nWHERE a.source_domain != b.source_domain\nGROUP BY source_1, source_2\nHAVING co_citation_count > 5\nORDER BY co_citation_count DESC;\n",[1346],{"type":33,"tag":123,"props":1347,"children":1348},{"__ignoreMap":17},[1349,1360,1387,1412,1456,1473,1490,1532,1569,1607,1645,1658,1681],{"type":33,"tag":290,"props":1350,"children":1351},{"class":292,"line":293},[1352,1356],{"type":33,"tag":290,"props":1353,"children":1354},{"style":297},[1355],{"type":38,"value":300},{"type":33,"tag":290,"props":1357,"children":1358},{"style":303},[1359],{"type":38,"value":306},{"type":33,"tag":290,"props":1361,"children":1362},{"class":292,"line":309},[1363,1368,1372,1377,1382],{"type":33,"tag":290,"props":1364,"children":1365},{"style":332},[1366],{"type":38,"value":1367},"  a",{"type":33,"tag":290,"props":1369,"children":1370},{"style":303},[1371],{"type":38,"value":260},{"type":33,"tag":290,"props":1373,"children":1374},{"style":332},[1375],{"type":38,"value":1376},"source_domain",{"type":33,"tag":290,"props":1378,"children":1379},{"style":297},[1380],{"type":38,"value":1381}," AS",{"type":33,"tag":290,"props":1383,"children":1384},{"style":303},[1385],{"type":38,"value":1386}," source_1,\n",{"type":33,"tag":290,"props":1388,"children":1389},{"class":292,"line":318},[1390,1395,1399,1403,1407],{"type":33,"tag":290,"props":1391,"children":1392},{"style":332},[1393],{"type":38,"value":1394},"  b",{"type":33,"tag":290,"props":1396,"children":1397},{"style":303},[1398],{"type":38,"value":260},{"type":33,"tag":290,"props":1400,"children":1401},{"style":332},[1402],{"type":38,"value":1376},{"type":33,"tag":290,"props":1404,"children":1405},{"style":297},[1406],{"type":38,"value":1381},{"type":33,"tag":290,"props":1408,"children":1409},{"style":303},[1410],{"type":38,"value":1411}," source_2,\n",{"type":33,"tag":290,"props":1413,"children":1414},{"class":292,"line":377},[1415,1420,1424,1429,1434,1438,1443,1447,1451],{"type":33,"tag":290,"props":1416,"children":1417},{"style":332},[1418],{"type":38,"value":1419},"  COUNT",{"type":33,"tag":290,"props":1421,"children":1422},{"style":303},[1423],{"type":38,"value":355},{"type":33,"tag":290,"props":1425,"children":1426},{"style":297},[1427],{"type":38,"value":1428},"DISTINCT",{"type":33,"tag":290,"props":1430,"children":1431},{"style":332},[1432],{"type":38,"value":1433}," a",{"type":33,"tag":290,"props":1435,"children":1436},{"style":303},[1437],{"type":38,"value":260},{"type":33,"tag":290,"props":1439,"children":1440},{"style":332},[1441],{"type":38,"value":1442},"query_id",{"type":33,"tag":290,"props":1444,"children":1445},{"style":303},[1446],{"type":38,"value":340},{"type":33,"tag":290,"props":1448,"children":1449},{"style":297},[1450],{"type":38,"value":369},{"type":33,"tag":290,"props":1452,"children":1453},{"style":303},[1454],{"type":38,"value":1455}," co_citation_count\n",{"type":33,"tag":290,"props":1457,"children":1458},{"class":292,"line":392},[1459,1463,1468],{"type":33,"tag":290,"props":1460,"children":1461},{"style":297},[1462],{"type":38,"value":383},{"type":33,"tag":290,"props":1464,"children":1465},{"style":386},[1466],{"type":38,"value":1467}," `project.dataset.llm_all_sources`",{"type":33,"tag":290,"props":1469,"children":1470},{"style":303},[1471],{"type":38,"value":1472}," a\n",{"type":33,"tag":290,"props":1474,"children":1475},{"class":292,"line":431},[1476,1481,1485],{"type":33,"tag":290,"props":1477,"children":1478},{"style":297},[1479],{"type":38,"value":1480},"JOIN",{"type":33,"tag":290,"props":1482,"children":1483},{"style":386},[1484],{"type":38,"value":1467},{"type":33,"tag":290,"props":1486,"children":1487},{"style":303},[1488],{"type":38,"value":1489}," b \n",{"type":33,"tag":290,"props":1491,"children":1492},{"class":292,"line":721},[1493,1498,1502,1506,1510,1515,1520,1524,1528],{"type":33,"tag":290,"props":1494,"children":1495},{"style":297},[1496],{"type":38,"value":1497},"  ON",{"type":33,"tag":290,"props":1499,"children":1500},{"style":332},[1501],{"type":38,"value":1433},{"type":33,"tag":290,"props":1503,"children":1504},{"style":303},[1505],{"type":38,"value":260},{"type":33,"tag":290,"props":1507,"children":1508},{"style":332},[1509],{"type":38,"value":1442},{"type":33,"tag":290,"props":1511,"children":1512},{"style":297},[1513],{"type":38,"value":1514}," =",{"type":33,"tag":290,"props":1516,"children":1517},{"style":332},[1518],{"type":38,"value":1519}," b",{"type":33,"tag":290,"props":1521,"children":1522},{"style":303},[1523],{"type":38,"value":260},{"type":33,"tag":290,"props":1525,"children":1526},{"style":332},[1527],{"type":38,"value":1442},{"type":33,"tag":290,"props":1529,"children":1530},{"style":303},[1531],{"type":38,"value":306},{"type":33,"tag":290,"props":1533,"children":1534},{"class":292,"line":27},[1535,1540,1544,1548,1552,1556,1560,1564],{"type":33,"tag":290,"props":1536,"children":1537},{"style":297},[1538],{"type":38,"value":1539},"  AND",{"type":33,"tag":290,"props":1541,"children":1542},{"style":332},[1543],{"type":38,"value":1433},{"type":33,"tag":290,"props":1545,"children":1546},{"style":303},[1547],{"type":38,"value":260},{"type":33,"tag":290,"props":1549,"children":1550},{"style":332},[1551],{"type":38,"value":913},{"type":33,"tag":290,"props":1553,"children":1554},{"style":297},[1555],{"type":38,"value":1514},{"type":33,"tag":290,"props":1557,"children":1558},{"style":332},[1559],{"type":38,"value":1519},{"type":33,"tag":290,"props":1561,"children":1562},{"style":303},[1563],{"type":38,"value":260},{"type":33,"tag":290,"props":1565,"children":1566},{"style":332},[1567],{"type":38,"value":1568},"llm_provider\n",{"type":33,"tag":290,"props":1570,"children":1572},{"class":292,"line":1571},9,[1573,1577,1581,1585,1590,1594,1598,1602],{"type":33,"tag":290,"props":1574,"children":1575},{"style":297},[1576],{"type":38,"value":1539},{"type":33,"tag":290,"props":1578,"children":1579},{"style":332},[1580],{"type":38,"value":1433},{"type":33,"tag":290,"props":1582,"children":1583},{"style":303},[1584],{"type":38,"value":260},{"type":33,"tag":290,"props":1586,"children":1587},{"style":332},[1588],{"type":38,"value":1589},"date",{"type":33,"tag":290,"props":1591,"children":1592},{"style":297},[1593],{"type":38,"value":1514},{"type":33,"tag":290,"props":1595,"children":1596},{"style":332},[1597],{"type":38,"value":1519},{"type":33,"tag":290,"props":1599,"children":1600},{"style":303},[1601],{"type":38,"value":260},{"type":33,"tag":290,"props":1603,"children":1604},{"style":332},[1605],{"type":38,"value":1606},"date\n",{"type":33,"tag":290,"props":1608,"children":1610},{"class":292,"line":1609},10,[1611,1615,1619,1623,1627,1632,1636,1640],{"type":33,"tag":290,"props":1612,"children":1613},{"style":297},[1614],{"type":38,"value":398},{"type":33,"tag":290,"props":1616,"children":1617},{"style":332},[1618],{"type":38,"value":1433},{"type":33,"tag":290,"props":1620,"children":1621},{"style":303},[1622],{"type":38,"value":260},{"type":33,"tag":290,"props":1624,"children":1625},{"style":332},[1626],{"type":38,"value":1376},{"type":33,"tag":290,"props":1628,"children":1629},{"style":297},[1630],{"type":38,"value":1631}," !=",{"type":33,"tag":290,"props":1633,"children":1634},{"style":332},[1635],{"type":38,"value":1519},{"type":33,"tag":290,"props":1637,"children":1638},{"style":303},[1639],{"type":38,"value":260},{"type":33,"tag":290,"props":1641,"children":1642},{"style":332},[1643],{"type":38,"value":1644},"source_domain\n",{"type":33,"tag":290,"props":1646,"children":1648},{"class":292,"line":1647},11,[1649,1653],{"type":33,"tag":290,"props":1650,"children":1651},{"style":297},[1652],{"type":38,"value":437},{"type":33,"tag":290,"props":1654,"children":1655},{"style":303},[1656],{"type":38,"value":1657}," source_1, source_2\n",{"type":33,"tag":290,"props":1659,"children":1661},{"class":292,"line":1660},12,[1662,1666,1671,1676],{"type":33,"tag":290,"props":1663,"children":1664},{"style":297},[1665],{"type":38,"value":727},{"type":33,"tag":290,"props":1667,"children":1668},{"style":303},[1669],{"type":38,"value":1670}," co_citation_count ",{"type":33,"tag":290,"props":1672,"children":1673},{"style":297},[1674],{"type":38,"value":1675},">",{"type":33,"tag":290,"props":1677,"children":1678},{"style":332},[1679],{"type":38,"value":1680}," 5\n",{"type":33,"tag":290,"props":1682,"children":1684},{"class":292,"line":1683},13,[1685,1689,1693,1697],{"type":33,"tag":290,"props":1686,"children":1687},{"style":297},[1688],{"type":38,"value":761},{"type":33,"tag":290,"props":1690,"children":1691},{"style":303},[1692],{"type":38,"value":1670},{"type":33,"tag":290,"props":1694,"children":1695},{"style":297},[1696],{"type":38,"value":771},{"type":33,"tag":290,"props":1698,"children":1699},{"style":303},[1700],{"type":38,"value":776},{"type":33,"tag":34,"props":1702,"children":1703},{},[1704,1706,1712],{"type":38,"value":1705},"Результат: \"Упоминаемся вместе с competitor-a на 47 запросах.\" Разделите ",{"type":33,"tag":123,"props":1707,"children":1709},{"className":1708},[],[1710],{"type":38,"value":1711},"co_citation_count",{"type":38,"value":1713}," на количество запросов, где competitor-a упоминается самостоятельно — это \"citation overlap ratio\". Выше 60% — прямая конкуренция, ниже 30% — разные ниши.",{"type":33,"tag":34,"props":1715,"children":1716},{},[1717,1722,1725,1727,1732],{"type":33,"tag":41,"props":1718,"children":1719},{},[1720],{"type":38,"value":1721},"Трансформация в действия:",{"type":33,"tag":104,"props":1723,"children":1724},{},[],{"type":38,"value":1726},"\nВысокий overlap, но вас не упоминают — восполняйте content gap. Прочитайте страницу конкурента: какие факты приводит, какой формат (таблица\u002Fсписок\u002Fкод)? Поместите те же факты в ",{"type":33,"tag":41,"props":1728,"children":1729},{},[1730],{"type":38,"value":1731},"структурированный вид",{"type":38,"value":1733}," — JSON-LD, таблица, bullet list. LLM при retrieval предпочитает структурированные данные.",{"type":33,"tag":49,"props":1735,"children":1737},{"id":1736},"что-начать-измерять-прямо-сейчас",[1738],{"type":38,"value":1739},"Что начать измерять прямо сейчас",{"type":33,"tag":34,"props":1741,"children":1742},{},[1743,1745,1752],{"type":38,"value":1744},"Спроектируйте синтетический набор запросов — извлеките из Search Console запросы с низким CTR и высокими показами. Запустите ежедневный конвейер n8n, записывайте ответы в BigQuery. За первые 30 дней соберите baseline: citation rate, primary source rate, prominence score. Затем мониторьте влияние ",{"type":33,"tag":890,"props":1746,"children":1749},{"href":1747,"rel":1748},"https:\u002F\u002Fwww.roibase.com.tr\u002Fru\u002Fgeo",[894],[1750],{"type":38,"value":1751},"Generative Engine Optimization",{"type":38,"value":1753}," — какие изменения контента повышали citation, какие понижали. Если citation выросла, но трафик нет — проблема в prominence. Если преимущество есть — inline citation, это основной фокус. Проанализируйте конкурентов через co-citation и закройте content gap. Добавьте метрики в SEO dashboard — к концу 2026 смотрите не на \"органический трафик\", а на \"органический + LLM visibility\".",{"type":33,"tag":1755,"props":1756,"children":1757},"style",{},[1758],{"type":38,"value":1759},"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":17,"searchDepth":318,"depth":318,"links":1761},[1762,1763,1764,1769,1770,1771,1772],{"id":51,"depth":309,"text":54},{"id":86,"depth":309,"text":89},{"id":263,"depth":309,"text":266,"children":1765},[1766,1767,1768],{"id":275,"depth":318,"text":278},{"id":477,"depth":318,"text":480},{"id":623,"depth":318,"text":626},{"id":784,"depth":309,"text":787},{"id":999,"depth":309,"text":1002},{"id":1284,"depth":309,"text":1287},{"id":1736,"depth":309,"text":1739},"markdown","content:ru:ai:llm-atif-olcumu-yeni-seo-metrik-seti.md","content","ru\u002Fai\u002Fllm-atif-olcumu-yeni-seo-metrik-seti.md","ru\u002Fai\u002Fllm-atif-olcumu-yeni-seo-metrik-seti","md",1785967486203]