{"id":19309,"date":"2025-07-02T18:02:13","date_gmt":"2025-07-02T09:02:13","guid":{"rendered":"http:\/\/10.1.11.13:8080\/?p=19309"},"modified":"2025-09-17T10:26:25","modified_gmt":"2025-09-17T01:26:25","slug":"geo%e7%94%9f%e6%88%90%e3%82%a8%e3%83%b3%e3%82%b8%e3%83%b3%e6%9c%80%e9%81%a9%e5%8c%96%e3%81%a8%e3%81%af%ef%bc%9fseo%e3%81%a8%e3%81%ae%e9%81%95%e3%81%84%e3%82%84%e9%87%8d%e8%a6%81%e8%a6%96%e3%81%95","status":"publish","type":"post","link":"http:\/\/10.1.11.13:8080\/archives\/19309","title":{"rendered":"LLMO(\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u6700\u9069\u5316)\u3068\u306f\uff1fGEO\u3084SEO\u3068\u306e\u9055\u3044\u3084AI\u6642\u4ee3\u306e\u6d41\u5165\u6226\u7565\u3092\u5fb9\u5e95\u89e3\u8aac\uff01"},"content":{"rendered":"\n
LLMO(\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u6700\u9069\u5316)\u3068\u306f\u3001\u82f1\u8a9e\u306e\u300cLarge Language Model Optimization\u300d\u306e\u982d\u6587\u5b57\u3092\u53d6\u3063\u305f\u7565\u8a9e\u3067\u3001\u751f\u6210AI\u304c\u51fa\u529b\u3059\u308b\u56de\u7b54\u306b\u81ea\u793e\u306e\u30b5\u30fc\u30d3\u30b9\u3092\u5f15\u7528\u3055\u305b\u308b\u305f\u3081\u306e\u65b0\u3057\u3044\u6700\u9069\u5316\u6226\u7565<\/span><\/mark><\/strong>\u306e\u3053\u3068\u3067\u3059\u3002<\/p>\n\n\n\n \u8fd1\u5e74\u3001\u751f\u6210AI\u6280\u8853\u306e\u9769\u65b0\u306b\u3068\u3082\u306a\u3044\u3001ChatGPT\u3084Perplexity\u306a\u3069\u306eAI\u691c\u7d22\u304c\u53f0\u982d\u3059\u308b\u306a\u304b\u3001\u591a\u304f\u306e\u4f01\u696d\u3067\u3001\u5f93\u6765\u578b\u306eSEO\u624b\u6cd5\u304b\u3089\u65b0\u3057\u3044LLMO\u3078\u306e\u6d41\u5165\u6226\u7565\u306e\u8ee2\u63db\u304c\u5927\u304d\u306a\u6ce8\u76ee<\/span><\/mark><\/strong>\u3092\u96c6\u3081\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n \u3057\u304b\u3057\u3001LLMO\u306b\u306f\u660e\u78ba\u306a\u5b9a\u7fa9\u306e\u66d6\u6627\u3055\u3084\u6700\u9069\u5316\u65b9\u6cd5\u306e\u672a\u77e5\u6027\u3068\u3044\u3063\u305f\u8ab2\u984c\u3082\u591a\u304f\u3001\u8aa4\u3063\u305f\u904b\u7528\u306b\u3088\u3063\u3066\u306f\u3001AI\u306b\u53d6\u308a\u4e0a\u3052\u3089\u308c\u306a\u3044\u30ea\u30b9\u30af\u3082\u5b58\u5728<\/span><\/mark><\/strong>\u3057\u307e\u3059\u3002<\/p>\n\n\n\n \u672c\u8a18\u4e8b\u3067\u306f\u3001LLMO\u306b\u304a\u3051\u308b\u57fa\u672c\u7684\u306a\u8003\u3048\u65b9\u3084SEO\u3068\u306e\u9055\u3044\u306e\u89e3\u8aac\u306b\u52a0\u3048\u3066\u3001\u91cd\u8981\u8996\u3055\u308c\u308b\u7406\u7531\u3084\u30e1\u30ea\u30c3\u30c8\u30fb\u30c7\u30e1\u30ea\u30c3\u30c8\u307e\u3067\u5fb9\u5e95\u89e3\u8aac<\/span><\/mark><\/strong>\u3057\u3066\u3044\u304d\u307e\u3059\u3002<\/p>\n\n\n\n \u3053\u306e\u8a18\u4e8b\u3092\u8aad\u3080\u3060\u3051\u3067\u3001LLMO\u306e\u5168\u4f53\u50cf\u3068\u5b9f\u8df5\u65b9\u6cd5\u304c\u307e\u308b\u3054\u3068\u7406\u89e3\u3067\u304d\u308b<\/span><\/mark><\/strong>\u305f\u3081\u3001AI\u6642\u4ee3\u306e\u65b0\u3057\u3044\u6d41\u5165\u65bd\u7b56\u306b\u60a9\u3093\u3067\u3044\u308b\u62c5\u5f53\u8005\u306b\u306f\u5fc5\u898b\u306e\u5185\u5bb9\u3067\u3059\uff01<\/p>\n\n\n\n <\/p>\n\n\n\n <\/p>\n\n\n\n LLMO(\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u6700\u9069\u5316)\u3068\u306f\u3001\u82f1\u8a9e\u306e\u300cLarge Language Model Optimization\u300d\u306e\u982d\u6587\u5b57\u3092\u53d6\u3063\u305f\u7565\u8a9e\u3067\u3001\u751f\u6210AI\u304c\u51fa\u529b\u3059\u308b\u56de\u7b54\u306b\u81ea\u793e\u306e\u30b5\u30a4\u30c8\u3084\u88fd\u54c1\u3092\u8868\u793a\u3055\u305b\u308b\u6700\u9069\u5316\u6226\u7565<\/span><\/mark><\/strong>\u306e\u3053\u3068\u3067\u3059\u3002<\/p>\n\n\n\n \u5f93\u6765\u306eSEO\u3068\u306f\u7570\u306a\u308a\u3001LLMO\u3067\u306fChatGPT\u3084Gemini\u306a\u3069\u306e\u5404\u7a2eAI\u304c\u751f\u6210\u3057\u305f\u56de\u7b54\u306b\u3001\u81ea\u793e\u306e\u30b3\u30f3\u30c6\u30f3\u30c4\u304c\u5f15\u7528\u3055\u308c\u308b\u3053\u3068\u3067\u3001SEO\u3060\u3051\u306b\u4f9d\u5b58\u3057\u306a\u3044\u9593\u63a5\u7684\u306a\u6d41\u5165\u7d4c\u8def\u3092\u7372\u5f97<\/span><\/mark><\/strong>\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n \u307e\u305f\u3001\u751f\u6210AI\u3084AI\u691c\u7d22\u306b\u5bfe\u3059\u308b\u6700\u9069\u5316\u306e\u6982\u5ff5\u306f\u3001LLMO\u306e\u307b\u304b\u306b\u3082\u300cGEO(Gen<\/span>erative Engine Optimization)<\/span><\/mark><\/strong>\u300d\u3084\u300cAEO(Answer Engine Optimization)<\/span><\/mark><\/strong>\u300d\u3068\u3044\u3063\u305f\u4f3c\u305f\u6982\u5ff5\u304c\u5b58\u5728\u3057\u307e\u3059\u3002<\/p>\n\n\n\n BtoB\u30d3\u30b8\u30cd\u30b9\u306e\u9818\u57df\u306b\u304a\u3044\u3066\u306f\u3001\u5f93\u6765\u307e\u3067\u306eGoogle\u691c\u7d22\u3088\u308a\u3082\u3001AI\u3092\u4f7f\u3063\u305f\u60c5\u5831\u53ce\u96c6\u6d3b\u52d5\u304c\u6d3b\u767a\u5316\u3057\u3066\u3044\u308b\u305f\u3081\u3001\u4eca\u5f8c\u306fLLMO\u306b\u3088\u308bAI\u5bfe\u7b56\u304c\u91cd\u8981\u306a\u5f79\u5272\u3092\u679c\u305f\u3059<\/span><\/mark><\/strong>\u3068\u3057\u3066\u6ce8\u76ee\u3092\u96c6\u3081\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n <\/p>\n\n\n\n LLM(Large Language Model)\u3068\u306f\u3001\u81a8\u5927\u306a\u30c6\u30ad\u30b9\u30c8\u30c7\u30fc\u30bf\u3092\u5b66\u7fd2\u3057\u3066\u3001\u81ea\u7136\u8a00\u8a9e(\u79c1\u305f\u3061\u304c\u666e\u6bb5\u4f7f\u7528\u3059\u308b\u8a00\u8449)\u306b\u3088\u308b\u7406\u89e3\u3068\u56de\u7b54\u306e\u751f\u6210\u3092\u884c\u3046\u30bf\u30a4\u30d7\u306e\u4eba\u5de5\u77e5\u80fd\u30e2\u30c7\u30eb<\/span><\/mark><\/strong>\u306e\u3053\u3068\u3067\u3059\u3002<\/p>\n\n\n\n LLM\u306b\u3082\u3088\u3063\u3066\u7570\u306a\u308a\u307e\u3059\u304c\u3001\u304a\u3088\u305d\u6570\u5341\u5104\u304b\u3089\u6570\u5146\u500b\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u6301\u3064\u3001\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u63a1\u7528\u306b\u3088\u3063\u3066\u4eba\u9593\u306b\u8fd1\u3044\u6587\u7ae0\u7406\u89e3\u529b\u3068\u56de\u7b54\u751f\u6210\u80fd\u529b\u3092\u5b9f\u73fe<\/span><\/mark><\/strong>\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n <\/p>\n\n\n\n \u5bfe\u3057\u3066\u3001\u4e0a\u8a18\u306e\u751f\u6210AI\u30b5\u30fc\u30d3\u30b9\u306f\u3001\u53b3\u5bc6\u306b\u306fLLM\u3067\u306f\u3042\u308a\u307e\u305b\u3093\u3002ChatGPT\u3092\u306f\u3058\u3081\u3068\u3059\u308bLLM\u3092\u4f7f\u7528\u3057\u305f\u300c\u751f\u6210\u30a8\u30f3\u30b8\u30f3(AI\u99c6\u52d5\u578b\u691c\u7d22\u30a8\u30f3\u30b8\u30f3)\u300d<\/span><\/mark><\/strong>\u3068\u3057\u3066\u533a\u5225\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n \u305d\u3057\u3066\u3001\u3053\u308c\u3089\u306e\u751f\u6210\u30a8\u30f3\u30b8\u30f3\u306b\u5bfe\u3057\u3066\u6700\u9069\u5316\u306e\u65bd\u7b56\u3092\u65bd\u3059\u306e\u304c\u3001\u672c\u6765\u300cGEO(\u751f\u6210\u30a8\u30f3\u30b8\u30f3\u6700\u9069\u5316)\u300d\u3068\u547c\u3070\u308c\u308b\u6982\u5ff5\u306b\u306a\u308b<\/span><\/mark><\/strong>\u306e\u3067\u3059\u304c\u3001\u73fe\u72b6\u3069\u3061\u3089\u3082\u540c\u3058\u610f\u5473\u3067\u4f7f\u308f\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n \u3044\u305a\u308c\u3082\u6700\u8fd1\u306b\u306a\u3063\u3066\u4f7f\u308f\u308c\u59cb\u3081\u305f\u65b0\u3057\u3044\u6982\u5ff5\u3067\u3042\u308a\u3001\u73fe\u6642\u70b9\u3067\u306f\u3069\u306e\u8a00\u8449\u304c\u696d\u754c\u6a19\u6e96\u3068\u3057\u3066\u5b9a\u7740\u3059\u308b\u304b\u306f\u660e\u78ba\u306b\u306a\u3063\u3066\u3044\u306a\u3044<\/span><\/mark><\/strong>\u305f\u3081\u3001\u307b\u3068\u3093\u3069\u540c\u7fa9\u3068\u3057\u3066\u6271\u3063\u3066\u554f\u984c\u306a\u3044\u3067\u3057\u3087\u3046\u3002<\/p>\n\n\n\n LLMO\u304c\u6ce8\u76ee\u3055\u308c\u308b\u3088\u3046\u306b\u306a\u3063\u305f\u7406\u7531\u306e1\u3064\u76ee\u3068\u3057\u3066\u306f\u300cAIO\u304c\u5927\u304d\u306a\u5f71\u97ff\u529b\u3092\u6301\u3064\u3088\u3046\u306b\u306a\u3063\u305f<\/span><\/mark><\/strong>\u300d\u3068\u3044\u3046\u3082\u306e\u304c\u6319\u3052\u3089\u308c\u307e\u3059\u3002<\/p>\n\n\n\n AIO(AI Overviews)\u3068\u306f\u3001Google\u304c\u5c0e\u5165\u3092\u9032\u3081\u3066\u3044\u308b\u751f\u6210AI\u3092\u7528\u3044\u305f\u691c\u7d22\u8981\u7d04\u6a5f\u80fd\u306e\u3053\u3068\u3067\u3042\u308a\u30012024\u5e748\u6708\u306b\u30c6\u30b9\u30c8\u30ea\u30ea\u30fc\u30b9\u3055\u308c\u3066\u4ee5\u964d\u3001\u30e6\u30fc\u30b6\u30fc\u306e\u691c\u7d22\u4f53\u9a13\u305d\u306e\u3082\u306e\u306b\u5927\u304d\u306a\u5f71\u97ff<\/span><\/mark><\/strong>\u3092\u4e0e\u3048\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n AIO\u306e\u7279\u5fb4\u3068\u3057\u3066\u306f\u3001\u5e83\u544a\u67a0\u3067\u3042\u308b\u300c\u30b9\u30dd\u30f3\u30b5\u30fc\u300d\u3084\u65e2\u5b58\u306e\u5f15\u7528\u6a5f\u80fd\u3067\u3042\u308b\u300c\u5f37\u8abf\u30b9\u30cb\u30da\u30c3\u30c8\u300d\u3088\u308a\u3082\u4e0a\u90e8\u306b\u4f4d\u7f6e\u3057\u3066\u3044\u308b\u3053\u3068\u3067\u3001\u4e8b\u5b9f\u4e0a\u306e\u691c\u7d221\u4f4d\u3092Google\u81ea\u8eab\u306eAI\u304c\u72ec\u5360\u3059\u308b\u69cb\u56f3<\/span><\/mark><\/strong>\u3068\u306a\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n \u3053\u306e\u3088\u3046\u306a\u5909\u5316\u306b\u304a\u3044\u3066\u306f\u3001\u5f93\u6765\u306eSEO\u3060\u3051\u3067\u306f\u81ea\u793e\u306e\u9806\u4f4d\u304c\u76f8\u5bfe\u7684\u306b\u4e0b\u843d\u3057\u3066\u3057\u307e\u3046\u305f\u3081\u3001AIO\u306b\u5f15\u7528\u3055\u308c\u3084\u3059\u3044\u69cb\u9020\u3068\u3001\u4fe1\u983c\u6027\u3092\u517c\u306d\u5099\u3048\u305fLLMO\u306e\u91cd\u8981\u6027\u304c\u6025\u901f\u306b\u9ad8\u307e\u3063\u3066\u3044\u308b<\/span><\/mark><\/strong>\u3068\u3044\u3046\u308f\u3051\u3067\u3059\u3002<\/p>\n\n\n\n LLMO\u304c\u6ce8\u76ee\u3055\u308c\u308b\u3088\u3046\u306b\u306a\u3063\u305f\u7406\u7531\u306e2\u3064\u76ee\u3068\u3057\u3066\u306f\u300c\u30e6\u30fc\u30b6\u30fc\u81ea\u8eab\u306e\u691c\u7d22\u884c\u52d5\u306b\u5909\u5316\u304c\u751f\u3058\u305f<\/span><\/mark><\/strong>\u300d\u3068\u3044\u3046\u3082\u306e\u304c\u6319\u3052\u3089\u308c\u307e\u3059\u3002<\/p>\n\n\n\n \u5f93\u6765\u307e\u3067\u306f\u3001Google\u691c\u7d22\u306b\u30ad\u30fc\u30ef\u30fc\u30c9\u3092\u5165\u529b\u3057\u3066\u60c5\u5831\u3092\u63a2\u3059\u884c\u52d5\u30d1\u30bf\u30fc\u30f3\u304c\u4e3b\u6d41\u3067\u3057\u305f\u304c\u3001\u8fd1\u5e74\u3067\u306fChatGPT\u3084Perplexity\u3068\u3044\u3063\u305f\u3001\u751f\u6210AI\u3092\u4f7f\u3063\u305f\u5bfe\u8a71\u5f62\u5f0f\u306e\u60c5\u5831\u53ce\u96c6\u304c\u6025\u901f\u306a\u5e83\u304c\u308a<\/span><\/mark><\/strong>\u3092\u898b\u305b\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\nLLMO(\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u6700\u9069\u5316)\u3068\u306f\uff1f<\/h2>\n\n\n\n
LLM(\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb)\u3068\u306f\uff1f<\/h2>\n\n\n\n
\u30e2\u30c7\u30eb\u540d<\/th>
\u958b\u767a\u4f01\u696d<\/th>
\u4e3b\u306a\u7279\u5fb4<\/th><\/tr><\/thead>
ChatGPT (\u30c1\u30e3\u30c3\u30c8\u30b8\u30fc\u30d4\u30fc\u30c6\u30a3\u30fc)<\/a><\/td>
OpenAI<\/td>
\u9ad8\u5ea6\u306a\u63a8\u8ad6\u80fd\u529b\u3068\u30bf\u30b9\u30af\u5bfe\u5fdc<\/td><\/tr>
Claude (\u30af\u30ed\u30fc\u30c9)<\/a><\/td>
Anthropic<\/td>
\u9577\u6587\u5bfe\u8a71\u3068\u81ea\u7136\u306a\u8a00\u8a9e\u51fa\u529b<\/td><\/tr>
Gemini (\u30b8\u30a7\u30df\u30cb)<\/a><\/td>
Google<\/td>
\u30de\u30eb\u30c1\u30e2\u30fc\u30c0\u30eb\u5bfe\u5fdc<\/td><\/tr>
LLaMA (\u30e9\u30de)<\/a><\/td>
Meta<\/td>
\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u5c55\u958b<\/td><\/tr>
DeepSeek (\u30c7\u30a3\u30fc\u30d7\u30b7\u30fc\u30af)<\/a><\/td>
DeepSeek AI<\/td>
\u30de\u30eb\u30c1\u30e2\u30fc\u30c0\u30eb\u5bfe\u5fdc<\/td><\/tr><\/tbody><\/table>
LLM\u4ee5\u5916\u306e\u751f\u6210\u30a8\u30f3\u30b8\u30f3<\/h3>\n\n\n\n
\u30e2\u30c7\u30eb\u540d<\/th>
\u958b\u767a\u4f01\u696d<\/th>
\u4e3b\u306a\u7279\u5fb4<\/th><\/tr><\/thead>
Google AI Overviews<\/a><\/td>
Google<\/td>
Google\u691c\u7d22\u7d50\u679c\u306e\u4e0a\u90e8\u306b\u51fa\u73fe<\/td><\/tr>
Perplexity<\/a><\/td>
Perplexity AI<\/td>
\u9ad8\u5ea6\u306a\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u691c\u7d22\u3068\u63a8\u8ad6<\/td><\/tr>
Copilot<\/a><\/td>
Microsoft<\/td>
Office365\u3068\u9023\u643a\u3057\u305f\u30c7\u30fc\u30bf\u5206\u6790<\/td><\/tr><\/tbody><\/table>
LLMO\u304c\u91cd\u8981\u8996\u3055\u308c\u308b3\u3064\u306e\u7406\u7531<\/h2>\n\n\n\n
\n
AIO\u304c\u5927\u304d\u306a\u5f71\u97ff\u529b\u3092\u6301\u3064\u3088\u3046\u306b\u306a\u3063\u305f<\/h3>\n\n\n\n
\u30e6\u30fc\u30b6\u30fc\u81ea\u8eab\u306e\u691c\u7d22\u884c\u52d5\u306b\u5909\u5316\u304c\u751f\u3058\u305f<\/h3>\n\n\n\n