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LOG451ひとり研究所の裏側2026/11/5

pixelstomotors.com は AI に1日約2,000回読まれる ― 人が来るまでの4段階を測る

この記事の素材（コード・ログ・データ 8ファイル・まとめてダウンロードあり）
AIで読む ChatGPT・Claude などで、この記事に質問できます

pixelstomotors.com は2026年11月2日から5日まで、AI と検索エンジンのクローラー（ページを自動で読みに回るプログラム）に1日約2,030回読まれた一方で、人がページを見た回数は1日約24回と前の週から変わらず、ChatGPT の答えのリンクから来た人は2回でした。 AI によく読まれることは、まだ人の来訪の増加にはつながっていません。そこで、AI に読まれてから人が来るまでを4つの段階に分け、どの段階まで動いているかを週ごとに追うことにしました。

この分析で、次のことが変わりました。

  • 人が増えない理由を、段階ごとに切り分けて見られるようになった。利用者の質問を受けて AI がページを読みに来る段階は1日約21回まで動いていて、その先の、AI の答えから人が来る段階は4日で2回
  • 記事に置いた「AIで読む」ボタンの使われ方を、数え違えていたと分かった。11/2 の週の619回のうち505回は Amazon のクローラーで、人がボタンを押した記録は1回だった。これからは人のクリックで数える
  • 時間：数字を取って集計し、報告するまでは Claude だけで約10分でした。人が使ったのは、改善の対象をどこにするかを決めた返事の時間だけです

pixelstomotors.com は、ロボットとフィジカルAI（現実の物を動かす AI）の研究を、ひとりで記録して公開しているサイトです。記事は AI が読む前提で書いていて、10月26日からの1週間では、AI と検索エンジンのクローラーの訪問が人のページ表示の約70倍ありました（LOG430）。サイトを作り始めてから、まだ1年たっていません。

AIにはしっかりと読まれているのは確認できているので当初の予想通りではある。これからは実際にAIが調べることが多くなったことによって知名度が上がるか、人の来訪者が増えるような変化がいつでそうかを探っていく必要があります。

フィジカルAIの中で本格的にこの仕組みでうまくいくには3年はかかると当初考えていました。それでも今の状況は当初のスピードより早いと感じてはいるので来年どこかのタイミングで変わる可能性はあるかと思っています。

読まれる量はもう出ています。知りたいのは、その量が人の来訪に変わり始める時期です。サイトを作り替える前に、まず変化の兆しを測れるようにしました。

やったことなぜ結果
自前の計測の3つの表を、11/2〜11/5 の4日分読んだ
前の週（LOG430）と比べて、人と AI の量が動いたかを見たかった
人の表示は1日24回で横ばい。クローラーは1日1,609回から2,030回に増えた
「AIで読む」ボタン経由の読み込みを、だれが読んだかで分けた
前の週の16回から619回に増えていて、急すぎた
505回は Amazon のクローラー。人のクリックは1回
改善 No.01（導入比較ガイドの結論文と2つの帯）を確かめた
10/28 に公開し、人の表示が30に届いたら効果を判断する決まり
人の表示は5回で判断できない。次の改善の対象はトップページに移し、11/16 まで様子を見る
AI に読まれてから人が来るまでを4段階に分けた
人が増えないとき、どこで止まっているかを見分けるため
いまは2段目まで動いている。11/16 から週ごとに記録する

数字の単位には注意が要ります。クローラーの数はサーバーに来た読み込みの回数で、サイトマップのようなページではないファイルも含みます。人の数は、人がページを開いた回数です。倍率は目安として読んでください。

作業ログ ― 自前の計測の3つの表を4日分読んだ

この記事のコード・ログ・データは、1ファイルずつ下に置いています。全文はリンク先にあります。

ファイルの一覧（8本）

01_summarize_LOG451.py.txt ― summarize_LOG451.py（集計に使ったコード）・4,330字

02_summarize_LOG451_output.txt ― summarize_LOG451_output.txt（集計の出力）・4,421字

03_ev_all_week1102.json ― ev_all_week1102.json（取得したファイル名は ev-a1102.json・ev-stats・11/2 の週・人と機械の全部）・24,356字

04_ev_human_week1102.json ― ev_human_week1102.json（取得したファイル名は ev-h1102.json・ev-stats・11/2 の週・人だけ）・15,321字

05_ev_human_since1029.json ― ev_human_since1029.json（取得したファイル名は ev-h1029.json・ev-stats・10/29 から・人だけ（改善 No.01 の確かめ））・22,437字

06_cr_all.json ― cr_all.json（取得したファイル名は cr.json・cr-stats・10/25 からの全部）・26,682字

07_cr_since1102.json ― cr_since1102.json（取得したファイル名は cr1102.json・cr-stats・11/2 から）・18,829字

08_hk_notbot.json ― hk_notbot.json（取得したファイル名は hk-nb.json・hk-stats・機械の印なし）・3,710字

pixelstomotors.com の自前の計測は3つの表に分かれている

サイトの中に、外の解析サービスとは別の計測を入れています（10/18 から）。数を見る表は3つで、どれも鍵を渡したときだけ開きます。鍵は手元の外付けの記録用ドライブに置き、Claude は中身を画面に出さずに読み込んで使います。

表何を数えるか
/api/ev-stats
ページの表示・表示時間・どこまで読んだか・押したもの・来た元。人と機械を見分ける印は 10/26 から
/api/cr-stats
AI と検索エンジンのクローラーの訪問を、名乗りごとに数える。ページの中のプログラムを動かさないクローラーも、サーバー側で数える（10/25 から）
/api/hk-stats
新しい記事を知らせる仕掛け（ハコブくん）が出た回数・押された回数。機械の印は 10/28 から

週は日本時間の月曜はじまりです。11/2 の週は、取得した 11/5 の19時32分までの約3.81日分なので、前の週（7日分）とは1日あたりの数で比べます。

この記事で何度も出てくる言葉は2つです。

  • 利用者の依頼で読む AI：ChatGPT や Claude の利用者が質問したときに、答えを作るためにページを読みに来る記録。ChatGPT は ChatGPT-User、Claude は Claude-User と名乗る（OpenAI の説明 ChatGPT-User）。広く巡回するクローラーと違い、だれかの質問がきっかけになっている
  • 確認済み・確認できず：名乗りは自分で書けるので、なりすましもできます。送り元が本当にその会社のものかを確かめられた訪問を確認済み、確かめられなかった訪問を確認できずとして分けています

人のページ表示は1日24回で、前の週の23回とほぼ同じ

週全体人機械不明人の1日あたり
10/26〜11/1（7日）2,2171631,9876723.3
11/2〜11/5 19:32（約3.81日）
1,219921,0973024.1

人だけで見た読まれ方です。

週表示時間の中央値4分の3以上まで読んだスマホリンクでない所を押したメッセージの画面の表示入力を始めた
10/26〜11/115秒26%50%1320
11/2〜11/514秒29%27%1140

スマホの割合は半分ほどに下がりましたが、数が92回と少ないので、傾向とは言えません。

人がどこから来たかです（11/2 の週）。

来た元回数
直接・不明（ブックマーク・アプリ・来た元が送られないリンク）
51
www.google.com21
サイト内（ほかのページから移った）
12
www.linkedin.com
3
chatgpt.com（リンクの印）
2
www.bing.com1
LinkedIn のアプリ1
www.youtube.com
1

長く読まれたページは、GEN-0（大量の実機データで学習したロボットの基盤モデル）を調べた day126 で、1回の表示が1,131秒でした。同じ人が本文の文字を6回押しています。リンクではない所を押したので、迷いの記録に入っています。

クローラーは1日約2,030回に増え、Meta・Google・Amazon で7割

週回数1日あたり
10/26〜11/111,2601,609
11/2〜11/5 19:327,7422,030

11/2 の週の内訳です。

クローラーだれの・何のため回数確認できず
meta-externalagent
Meta（AI）2,0080
GooglebotGoogle（検索）1,93720
Amazonbot
Amazon（Alexa・AI）
1,8470
Applebot
Apple（Siri・検索・AI）
7680
ClaudeBotAnthropic（学習）3734
GPTBotOpenAI（学習）2092
bingbot
Bing（検索。ChatGPT の検索・Copilot も使う）
2045
OAI-SearchBot
OpenAI（ChatGPT の検索）
1843
その他
「AIで読む」経由で、名乗りが一覧にない読み手
6360
PerplexityBotPerplexity（検索）4242
ChatGPT-User
ChatGPT（利用者の依頼で読む）
262
YandexBotYandex（検索）263
Claude-User
Claude（利用者の依頼で読む）
1313
GoogleOtherGoogle（その他）120
BytespiderByteDance（AI）1212
YouBotYou.com85
CCBot
Common Crawl（多くの AI の学習データ）
55
Google-CloudVertexBot
Google（Vertex AI）
33
BaiduspiderBaidu（検索）22

上の3つで全体の約75%です。どのサイトにも来る広い巡回なので、この量の大きさは、このサイトが特に評価されているという意味ではありません。

利用者の依頼で AI が読んだのは4日で81回、そのうち57回は送り元を確かめられない

名乗り
10/26〜11/1（LOG430）
1日あたり11/2〜11/51日あたり確認できず（11/2〜）
ChatGPT-User608.6266.82
Claude-User40.6133.413
PerplexityBot233.34211.042
合計8712.48121.257

合計は1日12.4回から21.2回に増えました。ただ、増えた分は Claude-User と PerplexityBot で、どちらも送り元を確かめられていません。Claude-User の13回には、このサイトの作業で Claude が自分でページを読んだ分が混ざっている可能性があります。ほぼすべて送り元を確かめられている ChatGPT-User は、1日8.6回から6.8回へ少し減っています。利用者の依頼で読む AI は増えたように見えますが、確かめられた分だけで見ると横ばいです。

ChatGPT の答えのリンクから来た人は、4日で2回

ChatGPT の答えに付くリンクには、来た元の印 utm_source=chatgpt.com が付きます。アプリから来て来た元が送られない人も、この印で数えられます（LOG411 から）。

期間
chatgpt.com から来た人の表示
10/26〜11/10
11/2〜11/5 19:322

LOG430 で数えた1人目（11/2 の15時ごろまで）は、この 11/2 の週の2回に入っています。数が小さすぎて、増えたとは言えません。

「AIで読む」の619回のうち505回は Amazon のクローラーだった

記事の「AIで読む」ボタン（LOG421）は、押すと ChatGPT・Claude・Gemini に記事の全文ページを渡すか、全文をコピーします。全文ページの住所には、どこから読まれたかの印（via）を付けていて、その印のついた読み込みを cr-stats で数えていました。

印回数だれが読んだか
gemini288
Amazonbot 253、その他 35
copy274
Amazonbot 249、その他 25
chatgpt54
Googlebot 49、その他 2、Amazonbot 2、ChatGPT-User 1
claude3
Claude-User 1、その他 1、Amazonbot 1
合計619
Amazonbot 505（81.6%）

前の週は16回（chatgpt 7・copy 5・gemini 4）でした。11/2 の週に急に増えたのは、Amazonbot がボタンの行き先の住所を見つけて、印付きのまま記事を1本ずつ読みに来たためです。chatgpt の印の49回は Googlebot でした。一方、人がボタンを押した記録（ev-stats）は11/2 の週に1回だけです。

  • ねらい：AIで読むボタンが人に使われているかを、正しく数える
  • 変わったこと：見る数字を、cr-stats の印付きの読み込み（619回）から、ev-stats の人のクリック（1回）に替えた。数え方は、サイトの改善の記録（Project の web_improvement_trial.md）の計測の仕組みに書いた
  • 見込める効果：クローラーの巡回で大きく増減する数に引っぱられず、ボタンを残すか・置き場所を変えるかを人の数で判断できる。どれだけ押されるかは、11/16 からの週ごとの記録で確かめる

改善 No.01 は人の表示が30に届かず判断できない ― 次の対象はトップページに移す

10/28 に、導入比較ガイド（GPU を買うか借りるか、/gpu-buy-or-rent）の最初の画面に結論の文を出し、古い記録には最新の記録への帯、素材のある記事には素材への帯を足しました。人の表示が30に届いたら、効果を判断する決まりです。

確かめる数（10/29 から・人だけ）
結果
/gpu-buy-or-rent の表示
5（表示時間の中央値 9秒、4分の3以上まで読んだ 0%）
計算機（#calc）へのクリック
0
最新への帯（now）のクリック
0
素材への帯（files）のクリック
0

導入比較ガイドは前の週に人の表示が17回ありましたが、11/2 の週は2回でした。このペースでは、確かめる日の 11/7 になっても判断できません。人の表示がいちばん多いのはトップページで、10/26 の週と 11/2 の週を合わせると30回あります。

対象を人の表示が多いトップページに移す

まぁ人のアクセスはまだまだ少ないので、もう少し様子見かな。

次の改善の対象はトップページにし、すぐには変えず、11/16 の分析で数を見てから案を出します。導入比較ガイドの結論文と2つの帯はそのまま残すので、数がたまれば、そのときに確かめられます。

古い住所の404は、11/2 の転送のあとクローラーの記録から消えた

11/2 に、LOG361 の素材の古いファイル名と、使っていない旧住所 /ai-agent を転送するようにしました（改善 No.02）。11/2 からのクローラーの記録で、開けなかった住所（404）は46種類・109回でした。

開けなかった住所種類回数
LOG361 の古い住所・/ai-agent
00
記事の中のコードの文字列（{m[l]} や ' + LOGO + ' など）を、住所と読んだもの
3996
/record/x.md16
/record/12
/manga/ep811
/record/x11
/manga/第1話11
/$p11
/files/LOG445/11

転送した2つは消えました。コードの文字列を住所と読んだものは、そういう住所はもともとないので直しません（LOG411 の判断）。

新しい記事を知らせるハコブくんは、押された割合が約3%のまま

週（機械の印なし）出た押したあとで見に来た押した割合
10/26〜11/183222.4%
11/2〜11/5102302.9%

AI に読まれてから人が来るまでを、4つの段階で追う

人が増えたかだけを見ていると、増えないときに、どこで止まっているのかが分かりません。AI に読まれてから人が来るまでを、次の4つに分けました。

段階何が起きているかどこで数えるか11/2〜11/5
1. クローラーが読む
AI の学習や検索の索引のために、ページが読まれる
cr-stats1日 2,030回
2. 利用者の依頼で AI が読む
だれかが AI に質問し、その答えのためにこのサイトが選ばれて読まれる
cr-stats の ChatGPT-User・Claude-User・PerplexityBot
1日 21.2回（送り元を確かめられた分は 1日 6.3回）
3. AI の答えのリンクから人が来る
AI の答えを読んだ人が、リンクを押してサイトに来る
ev-stats の来た元（chatgpt.com の印など）
4日で2回
4. 名前で検索される
サイトの名前やシリーズの名前を、人が自分で検索する
Google Search Console（Google 検索でどう出ているかを見る道具）の検索語
11/16 に見る

数が動く順番は1から4のはずです。2が増えたのに3が動かないなら、AI には使われているけれど、人をサイトへ送るリンクにはなっていないということです。そのときに、AI がリンクを付けたくなるページの形を考えます。2と3が動いて4が動き始めたら、名前が知られ始めたことになります。

いまは1と2が動いていて、3は4日で2回、4はまだ見ていません。Search Console の数字は2〜3日遅れて出るうえ、旧ドメイン（adaptdesign.jp）から pixelstomotors.com へのアドレス変更（LOG430）を出したのが 11/2 なので、11/16 に見ます。

どのようなサイトにすると全体でメリットがあるのか測る必要はあるのかなと思いますが、急ぐ必要はないです。

サイトには手を入れず、11/16 の分析から、この4つを週ごとの表に足して記録していきます。

自前の計測の取得に使ったコマンド（2026-11-05 19:32〜19:33）

鍵は Authorization: Bearer で渡します。?week=月曜の日付 でその週だけ、?since=日付 でその日以降、?who=human で人だけ、?who=notbot で機械の印のない分だけになります。

mkdir -p $HOME/tmp/st && cd $HOME/tmp/st && KEY=$(tr -d ' \n\r' < $HOME/mnt/KIOXIA/p2m_stats_key.txt) && g(){ curl -s -o "$1" -w "$1 %{http_code}\n" -H "Authorization: Bearer $KEY" "https://pixelstomotors.com/api/$2"; }
g ev-all.json "ev-stats?format=json"
g ev-h.json "ev-stats?format=json&who=human"
g ev-h1026.json "ev-stats?format=json&who=human&week=2026-10-26"
g ev-h1102.json "ev-stats?format=json&who=human&week=2026-11-02"
g ev-a1102.json "ev-stats?format=json&week=2026-11-02"
g hk.json "hk-stats?format=json"
g hk1102.json "hk-stats?format=json&since=2026-11-02"
g cr.json "cr-stats?format=json"
g cr1102.json "cr-stats?format=json&since=2026-11-02"
ls -la

ev-all.json 200
ev-h.json 200
ev-h1026.json 200
ev-h1102.json 200
ev-a1102.json 200
hk.json 200
hk1102.json 200
cr.json 200
cr1102.json 200

cd $HOME/tmp/st; KEY=$(tr -d ' \n\r' < $HOME/mnt/KIOXIA/p2m_stats_key.txt); curl -s -o ev-h1029.json -H "Authorization: Bearer $KEY" "https://pixelstomotors.com/api/ev-stats?format=json&who=human&since=2026-10-29"; curl -s -o hk-nb.json -H "Authorization: Bearer $KEY" "https://pixelstomotors.com/api/hk-stats?format=json&who=notbot"

取得したうちの7つを、記事の作業フォルダ（LOG451_data）へ写しました。集計に使ったのは、ev-all.json を除く6つです。

D="$HOME/mnt/PixelstoMotors/デジタルツイン学習R2R2R/記事/LOG451_data"; mkdir -p "$D"; cd $HOME/tmp/st; cp ev-all.json ev-a1102.json ev-h1102.json ev-h1029.json hk-nb.json cr.json cr1102.json "$D/"

ev-stats の ?week= は週ごとの表（byWeek）には効かず、どの週を指定しても全部の週が並びます。ページ・来た元・押したものの表は、指定した週だけになります。週ごとの数は byWeek から、その週の行を読んでいます。

summarize_LOG451.py（集計に使ったコード）

作業フォルダ（LOG451_data）の中で python3 summarize_LOG451.py | tee summarize_LOG451_output.txt として動かしました。

01_summarize_LOG451.py.txt4,330字・84行・python
"""LOG451: pixelstomotors.com の自前の計測（ev-stats・cr-stats・hk-stats）から、
AI に読まれる量が人の来訪に変わるまでの段階を並べる集計。
入力は同じフォルダの JSON（2026-11-05 19:32〜19:33 JST に取得）。週は日本時間の月曜はじまり。"""
import json

def load(name):
    with open(name, encoding="utf-8") as f:
        return json.load(f)
別のタブで開く保存

summarize_LOG451_output.txt（集計の出力）

02_summarize_LOG451_output.txt4,421字・83行・text
== 1. 表示（ev-stats・週ごと） ==
2026-11-02 〜 11-08: 全体 1219 / 人 92 / 機械 1097 / 不明 30 / 人の1日あたり 24.1
2026-10-26 〜 11-01: 全体 2217 / 人 163 / 機械 1987 / 不明 67 / 人の1日あたり 23.3
  人だけ 2026-11-02: 中央値 14秒 / 75%以上読んだ 29% / スマホ 27% / リンクなしを押した 11 / メッセージの表示 4 / 入力開始 0
  人だけ 2026-10-26: 中央値 15秒 / 75%以上読んだ 26% / スマホ 50% / リンクなしを押した 13 / メッセージの表示 2 / 入力開始 0

== 2. クローラー（cr-stats・週ごと） ==
2026-11-02: 7742 回 / 1日あたり 2030
別のタブで開く保存

取得した自前の計測の JSON は6つ

2026-11-05 の19時32分から33分に取得したものです。取り方は上のコマンドのとおりです。

ev_all_week1102.json（取得したファイル名は ev-a1102.json・ev-stats・11/2 の週・人と機械の全部）

03_ev_all_week1102.json24,356字・1行・json
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ev_human_since1029.json（取得したファイル名は ev-h1029.json・ev-stats・10/29 から・人だけ（改善 No.01 の確かめ））

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別のタブで開く保存

cr_all.json（取得したファイル名は cr.json・cr-stats・10/25 からの全部）

06_cr_all.json26,682字・1行・json
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別のタブで開く保存

cr_since1102.json（取得したファイル名は cr1102.json・cr-stats・11/2 から）

07_cr_since1102.json18,829字・1行・json
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別のタブで開く保存

hk_notbot.json（取得したファイル名は hk-nb.json・hk-stats・機械の印なし）

08_hk_notbot.json3,710字・1行・json
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別のタブで開く保存

次は、11/16 に4つの段階を週ごとに並べる

4日分の数字で分かったのは、AI と検索エンジンのクローラーに読まれる量は1日約2,030回に増えた一方、人の表示は1日24回で動いていない、ということです。利用者の依頼で AI が読む回数は増えたように見えますが、送り元を確かめられた分だけでは横ばいで、AI の答えから来た人は4日で2回でした。

11/16 の分析で、次のことを見ます。

  • 4つの段階の数を週ごとに並べ、2段目（利用者の依頼で AI が読む）が増えたあとに、3段目（AI の答えから人が来る）が動き始めるか
  • Search Console で、サイトの名前やシリーズの名前で検索された回数（4段目）と、アドレス変更のあとに新ドメインの表示回数と順位が戻り始めたか
  • トップページの人の表示が、改善の案を出せるだけたまったか。AIで読むボタンが人に何回押されたか

ひとり研究所の裏側の記録 | Series

LOG448ひとり研究所の裏側2026/11/5

4コママンガ『ハコブくん』を Gemini API のバッチで描く ― 5話の下書きが3分で届いた
4コママンガ『ハコブくん』のコマに動きを足した ― 次は描く前に構図を決める
LOG447ひとり研究所の裏側2026/11/5

4コママンガ『ハコブくん』のコマに動きを足した ― 次は描く前に構図を決める
LOG445ひとり研究所の裏側2026/11/5

ロボティクス 声の単語帳を分野ごとに ― 記事65本から140枚足した
LOG437ひとり研究所の裏側2026/11/3

pixelstomotors.com を AI で読む入口 ― Gemini のアプリは HTML しか読まない
考察記事を YouTube の掛け合い動画にする ― 3本目は配膳ロボットの改造の回
LOG432ひとり研究所の裏側2026/11/2

考察記事を YouTube の掛け合い動画にする ― 3本目は配膳ロボットの改造の回
LOG431ひとり研究所の裏側2026/11/2

AIとの作業のイラッとを YouTube ショート14本に ― AIあるある
ひとり研究所の裏側の記録をすべて見る（57本）arrow_forward