LOG430ひとり研究所の裏側2026/11/2

pixelstomotors.com は人の数十倍 AI に読まれていた ― AI から来た人はまだ1人

AIで読む ChatGPT・Claude などで、この記事に質問できます

pixelstomotors.com では、2026年10月26日から11月1日までの1週間に、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）が1万1,260回訪れ、人がページを見た回数163回の約70倍でした。サイトマップなどページではないファイルを除いても約40倍です。ChatGPT が利用者の質問に答えるために記事を読んだのは60回あり、ChatGPT の回答のリンクから実際に来た人は、数え始めた10月30日から11月2日までで1人でした。

この数字から、次のことが分かり、手を打てました。

力を入れる所が決まった。 このサイトの記事は、人が検索で見つけるより、AI が読んで答えに使うほうがずっと多い。記事の最初の1文を答えにする・全文を AI が読める形にする、というこれまでの書き方の方針を、数字で裏づけられた
検索の取りこぼしが見つかった。 新しいドメインに移ってから、Google 検索から押される数が1日約10回から約2回に落ちていた。Google の「アドレス変更」を出し、旧ドメインの評価を新しいドメインへ移す手続きを始めた
時間： 自前の計測（サイトに組み込んだ記録）の3つの表から数字を取って集計するまでは、Claude だけで約5分でした（依頼から報告まで）。Search Console の確認とアドレス変更は約40分かかり、そのうち人が手を動かしたのは約35分でした。アカウントが3つに分かれていて、切り替えと所有権の確認に手間がかかったためです

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。もともと検索で人を集める作りにはしておらず、記事は AI が読む前提で書いています。10月30日の記録（LOG411）では、5日分の数字から「人より先に AI に読まれ始めている」と書き、次は AI が読んだあとに人が来ているかを見る、としていました。今回はその続きで、1週間分がそろった数字を読みました。

やったこと	なぜ	結果
自前の計測の3つの表を読んだ	1週間分の数字で、AI と人の量を比べたかった	クローラー1万1,260回・人の表示163回。ChatGPT が利用者のために読んだのは60回
AI から来た人を数えた	LOG411 で、AI の回答のリンクに付く印を数え始めていた	10/30〜11/2 で chatgpt.com から1人
Google 検索の数字を見た	人の入口として検索がどれくらいあるかを確かめたかった	新ドメインは17日でクリック33回・平均18位。旧ドメインの頃より大きく落ちていた
アドレス変更を出した	旧ドメインの検索の評価を、新ドメインに引き継がせるため	11/2 に受け付けられた（移行中）
壊れたリンク2種類を転送で直した	クローラーが古い住所を読みに来て、開けずに終わっていた	/ai-agent はトップへ、LOG361 の素材の古い住所は正しいファイルへ

量の比べ方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、サイトマップや更新の一覧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。単位がそろっていないので、倍率は目安として読んでください。それでも、ページだけに絞っても数十倍の差があります。

作業ログ ― 自前の計測の3つの表から、AI と人の量を並べた

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（5本）

01_01_cr_all.json ― 取得したデータ（3つの表の JSON・2026-11-02 15:01 に取得） / cr_all.json（クローラーの表（cr-stats）・10/25〜の全期間）・21,845字

02_01_ev_all_since1026.json ― 取得したデータ（3つの表の JSON・2026-11-02 15:01 に取得） / ev_all_since1026.json（表示の表（ev-stats）・10/26〜・人と機械の全部）・27,259字

03_01_ev_human_since1026.json ― 取得したデータ（3つの表の JSON・2026-11-02 15:01 に取得） / ev_human_since1026.json（表示の表（ev-stats）・10/26〜・人だけ）・22,013字

04_01_ev_human_since1030.json ― 取得したデータ（3つの表の JSON・2026-11-02 15:01 に取得） / ev_human_since1030.json（表示の表（ev-stats）・10/30〜・人だけ）・9,400字

05_sec02.md ― 検索の数字（Search Console の画面から写した表・全量）・16,100字

pixelstomotors.com の自前の計測は3つの表に分かれている

pixelstomotors.com には、外の解析サービスとは別に、サイトの中に自前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 は中身を表示せずに読み込んで渡しています。

表	何を数えるか	人と機械の区別
/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	ページの中で動くプログラムを動かした訪問だけを数える。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（名乗りで分ける）	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）の、出た回数・押された回数	機械の印は 10/28 から

最初はこの表を見ずに、外の解析サービス（Cloudflare Web Analytics と Google Search Console）から開こうとして、ログインで止まりました。自前の計測を先に見る、という手順を Project の記録に書き足しています。

クローラーを名乗りで分けたときに出てくる言葉のうち、この記事で大事なのは2つです。

ChatGPT-User：ChatGPT の利用者が質問したときに、ChatGPT が答えを作るためにページを読みに来た記録。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（OpenAI の説明 https://platform.openai.com/docs/bots ）
utm_source（来た元の印）：リンクの住所の後ろに付く「どこから来たか」の印。ChatGPT の回答のリンクには utm_source=chatgpt.com が付くので、アプリから来て「来た元」が送られない人も、この印で数えられる（LOG411 で数え始めた）

1週間（10/26〜11/1）でクローラーは1万1,260回、人の表示は163回

数えたもの	回数	人を1としたとき
クローラーの訪問（cr-stats）	11,260	69.1
そのうちページへの訪問（推定。ページではないファイルの割合 44.0% を除く）	約 6,303	約 39
ページの中のプログラムを動かした機械の表示（ev-stats）	1,987	12.2
人のページ表示（ev-stats）	163	1
人か機械か分からない表示	68	—

ページではないファイルの割合は、クローラーが読んだ住所の上位100（10/25〜の合計 3,546回）のうち、robots.txt（クローラー向けの案内）・updates.json（更新の一覧）・サイトマップ・記事の素材のファイルが 1,561回（44.0%）を占めたことから出しました。週の数に同じ割合を当てはめた推定です。

クローラーの内訳です。

クローラー	だれの・何のため	回数	割合
Googlebot	Google（検索）	2,775	24.6%
meta-externalagent	Meta（AI）	2,649	23.5%
Amazonbot	Amazon（Alexa・AI）	2,463	21.9%
Applebot	Apple（Siri・検索・AI）	939	8.3%
ClaudeBot	Anthropic（学習）	831	7.4%
bingbot	Bing（検索。ChatGPT の検索・Copilot も使う）	454	4.0%
GPTBot	OpenAI（学習）	407	3.6%
GoogleOther	Google（その他）	329	2.9%
OAI-SearchBot	OpenAI（ChatGPT の検索）	248	2.2%
ChatGPT-User	ChatGPT（利用者の依頼で読む）	60	0.5%
YandexBot	Yandex（検索）	34	0.3%
Bytespider	ByteDance（AI）	25	0.2%
PerplexityBot	Perplexity（検索）	23	0.2%
その他	「AIで読む」経由で、名乗りが一覧にない読み手	10	0.1%
Baiduspider	Baidu（検索）	6	0.1%
Claude-User	Claude（利用者の依頼で読む）	4	0.0%
DuckDuckBot	DuckDuckGo（検索）	3	0.0%

全体の7割は Google・Meta・Amazon の3つで、どのサイトにも来る広い巡回です。この数の大きさは、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。意味があるのは、だれかの質問がきっかけで読みに来た ChatGPT-User（60回）と Claude-User（4回）のほうです。

人の163回は、直接・不明とサイト内と Google が中心

人の表示（10/26〜11/2 の8日分・181回）が、どこから来たかです。

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）	78
サイト内（ほかのページから移った）	45
www.google.com	35
search.yahoo.co.jp	8
www.linkedin.com	5
Microsoft Teams	3
X（t.co）	3
男鹿市のサイト（www.city.oga.akita.jp）	2
Google アプリ	1
chatgpt.com（リンクの印）	1

見ていた時間の中央値は15秒、ページの4分の3以上まで読んだのは26%、スマホは50%でした（10/26 の週）。

ChatGPT が利用者のために読んだ60回と、ChatGPT から来た1人

ChatGPT-User が 10/25 から 11/2 までに読んだのは66回、36ページ（そのうち記事32本）です。読まれたページです。

ChatGPT-User が読んだページ	回数
/	22
/record/from-sim-series-to-lp	3
/record/pixelstomotors-com-domain	2
/record/microfactory-fairino-fr3	2
/record/serving-robot-cost-subsidy	2
/serving-robot-one-less-staff	2
/record/video-patterns-and-try-it	2
/record/serving-robot-video-ledger	2
/record/beyond-imitation-learning	2
/record/explainer-video-simulation-background	1
/record/first-video-end-to-end	1
/record/lock-down-ai-weekly-writes	1
/record/youtube-script-curation	1
/record/dev-mac-free-space	1
/record/shorts-81-percent-swiped	1
/record/pi05-learned-the-pauses	1
/record/pi05-first-block-in-box	1
/record/serving-robot-observation-sheet	1
/record/openpi-remote-inference-first-run	1
/record/claude-code-api-key-billing	1
/record/mecharm-not-done-yet	1
/record/robot-ideas-from-pain-not-robots	1
/record/autodesk-fusion-mcp-setup	1
/record/serving-robot-hidden-waits	1
/series4	1
/series8	1
/record/lp-demo-same-time-compare	1
/record/six-stores-fix-the-rules	1
/record/code-skeleton-agent-judgment	1
/record/studio-to-astro-cloudflare	1
/record/cobot-deployment-law-and-coordination	1
/record/vertical-4koma-for-shorts	1
/record/floor-plans-into-simulator	1
/record/hakobu-4koma-swipe-format	1
/files/LOG383/18_Assets_ServiceSim_Editor_BuildHeadless.cs.txt	1
/record/hakobu-4koma-english-without-redrawing	1

一方で、ChatGPT の回答のリンクから来た人（来た元の印が chatgpt.com）は、数え始めた 10/30 から 11/2 の15時までで1人でした。同じ日の14時に見たときは0で、その後の1時間のうちに1人目が来ています。読まれた回数と来た人の数の差は大きく、AI に読まれることと、AI から人が来ることは、今のところ別の話です。

記事に置いた「AIで読む」ボタン（LOG421）から AI が全文ページを読み込んだ記録は、10/26 の週が16回、11/2 の1日で23回でした（累計は ChatGPT 17・Gemini 11・コピー 11）。ただしこの中には、ボタンを作ったあとの確かめの読み込みが混ざっている可能性があります。ChatGPT 経由の読み込みの名乗りは、16回が Googlebot として記録されていました。理由は確かめていません。

新しい記事を知らせるハコブくんは、機械を除くと98回出て3回押された

機械の印のない分（10/28〜）は、出た98回・押された3回・あとで見に来た2回でした。押された割合は約3%です。印を入れる前（10/28 より前）の「出た」は1,683回で、機械を除いた今は1週間あたり80回台なので、前の数の大半は機械だったと見ています。

集計に使ったコード（summarize_LOG430.py）

"""LOG430: pixelstomotors.com の自前の計測（ev-stats・cr-stats・hk-stats）から、
AI・検索エンジンのクローラーと人の量を並べる集計。入力は同じフォルダの JSON（2026-11-02 15:01 JST に取得）。"""
import json

def load(name):
    with open(name, encoding="utf-8") as f:
        return json.load(f)

cr = load("cr_all.json")
ev_all = load("ev_all_since1026.json")
ev_h = load("ev_human_since1026.json")
ev_h30 = load("ev_human_since1030.json")
hk = load("hk_notbot.json")

week = "2026-10-26"
cr_w = next(w for w in cr["byWeek"] if w["week"] == week)
ev_w = next(w for w in ev_all["byWeek"] if w["week"] == week)

print("== 1週間（2026-10-26〜11-01）の量")
print(f"クローラーの訪問（cr-stats）      : {cr_w['total']:>6}")
print(f"機械のページ表示（ev-stats・JSを動かす機械）: {ev_w['botViews']:>6}")
print(f"人のページ表示（ev-stats）        : {ev_w['humanViews']:>6}")
print(f"不明                              : {ev_w['unknownViews']:>6}")
print(f"クローラー ÷ 人                   : {cr_w['total'] / ev_w['humanViews']:.1f} 倍")

# 名乗りごとの内訳（その週）
print("\n== その週のクローラーの内訳")
for part in cr_w["bots"].split("、"):
    name, n = part.rsplit(" ", 1)
    print(f"{name:<22}{int(n):>6}  {int(n) / cr_w['total'] * 100:5.1f}%")

# ページ以外（robots.txt・サイトマップ・更新の一覧など）の割合（上位100の住所・10/25〜の合計）
non_page = [p for p in cr["byPage"] if p["path"].endswith((".txt", ".xml", ".json"))]
top_sum = sum(p["visits"] for p in cr["byPage"])
np_sum = sum(p["visits"] for p in non_page)
print("\n== 上位100の住所のうち、ページではないファイル（10/25〜の合計）")
for p in non_page:
    print(f"{p['path']:<24}{p['visits']:>6}")
print(f"上位100の合計 {top_sum} のうち {np_sum}（{np_sum / top_sum * 100:.1f}%）")
page_only = cr_w["total"] * (1 - np_sum / top_sum)
print(f"同じ割合で週の数から外すと、ページへの訪問は約 {page_only:,.0f}（人の約 {page_only / ev_w['humanViews']:.0f} 倍）")

# 利用者の依頼で読む AI と、AI から来た人
print("\n== 利用者の依頼で読む AI と、AI から来た人")
for b in cr["byBot"]:
    if b["bot"] in ("ChatGPT-User", "Claude-User", "OAI-SearchBot", "PerplexityBot"):
        print(f"{b['bot']:<16}{b['who']:<28} 10/25〜の訪問 {b['visits']:>4}  ページ {b['pages']:>4}  記事 {b['records']:>4}")
print("人の来た元（10/26〜）:", ", ".join(f"{r['from']} {r['count']}" for r in ev_h["referrers"]))
print("人の来た元の印 utm_source（10/26〜）:", ev_h["utmSources"])
print("人の来た元の印 utm_source（10/30〜・印を数え始めてから）:", ev_h30["utmSources"])
print("「AIで読む」ボタン経由の読み込み:", cr["byVia"], cr["byViaWeek"])

# 検索との比べ（Search Console は search_console_20261102.md）
google_ref = sum(r["count"] for r in ev_h["referrers"] if "google" in r["from"] or "yahoo" in r["from"])
print("\n== 検索との比べ")
print(f"人の表示のうち Google・Yahoo から来た表示（10/26〜）: {google_ref}")
print("Search Console 新ドメイン 10/15〜10/31（17日）: クリック 33・表示 1,820 → 1週間あたり約", round(33 / 17 * 7, 1), "クリック")
print("ChatGPT-User の週の読み取り（10/26の週）: 60")

print("\n== ハコブくんの知らせ（機械の印なし）", hk["byKind"][0])

集計の出力（summarize_LOG430_output.txt）

== 1週間（2026-10-26〜11-01）の量
クローラーの訪問（cr-stats）      :  11260
機械のページ表示（ev-stats・JSを動かす機械）:   1987
人のページ表示（ev-stats）        :    163
不明                              :     68
クローラー ÷ 人                   : 69.1 倍

== その週のクローラーの内訳
Googlebot               2775   24.6%
meta-externalagent      2649   23.5%
Amazonbot               2463   21.9%
Applebot                 939    8.3%
ClaudeBot                831    7.4%
bingbot                  454    4.0%
GPTBot                   407    3.6%
GoogleOther              329    2.9%
OAI-SearchBot            248    2.2%
ChatGPT-User              60    0.5%
YandexBot                 34    0.3%
Bytespider                25    0.2%
PerplexityBot             23    0.2%
その他                       10    0.1%
Baiduspider                6    0.1%
Claude-User                4    0.0%
DuckDuckBot                3    0.0%

== 上位100の住所のうち、ページではないファイル（10/25〜の合計）
/robots.txt                889
/updates.json              435
/sitemap-index.xml         136
/sitemap.xml                22
/files/LOG383/18_Assets_ServiceSim_Editor_BuildHeadless.cs.txt    14
/files/LOG383/33_tools_ledger.py.txt    14
/sitemap-0.xml              13
/files/LOG383/06_20261025_1545_v11_project_split.txt    13
/files/LOG383/31_tools_make_queue.py.txt    13
/files/LOG378/01_scenes.py.txt    12
上位100の合計 3546 のうち 1561（44.0%）
同じ割合で週の数から外すと、ページへの訪問は約 6,303（人の約 39 倍）

== 利用者の依頼で読む AI と、AI から来た人
OAI-SearchBot   OpenAI（ChatGPT の検索）          10/25〜の訪問  267  ページ  109  記事   87
ChatGPT-User    ChatGPT（利用者の依頼で読む）           10/25〜の訪問   66  ページ   36  記事   32
PerplexityBot   Perplexity（検索）               10/25〜の訪問   31  ページ   19  記事   14
Claude-User     Claude（利用者の依頼で読む）            10/25〜の訪問    4  ページ    4  記事    2
人の来た元（10/26〜）: （直接・不明） 78, （サイト内） 45, www.google.com 35, search.yahoo.co.jp 8, www.linkedin.com 5, teams.public.onecdn.static.microsoft 3, t.co 3, www.city.oga.akita.jp 2, com.google.android.googlequicksearchbox 1, chatgpt.com（リンクの印） 1
人の来た元の印 utm_source（10/26〜）: [{'source': 'chatgpt.com', 'count': 1}]
人の来た元の印 utm_source（10/30〜・印を数え始めてから）: [{'source': 'chatgpt.com', 'count': 1}]
「AIで読む」ボタン経由の読み込み: [{'via': 'chatgpt', 'visits': 17, 'records': 17, 'bots': 'Googlebot 16、その他 1', 'last': '2026-11-02'}, {'via': 'gemini', 'visits': 11, 'records': 11, 'bots': 'Amazonbot 6、その他 5', 'last': '2026-11-02'}, {'via': 'copy', 'visits': 11, 'records': 11, 'bots': 'その他 8、Amazonbot 3', 'last': '2026-11-02'}] [{'week': '2026-11-02', 'total': 23, 'via': 'chatgpt 10、gemini 7、copy 6'}, {'week': '2026-10-26', 'total': 16, 'via': 'chatgpt 7、copy 5、gemini 4'}]

== 検索との比べ
人の表示のうち Google・Yahoo から来た表示（10/26〜）: 44
Search Console 新ドメイン 10/15〜10/31（17日）: クリック 33・表示 1,820 → 1週間あたり約 13.6 クリック
ChatGPT-User の週の読み取り（10/26の週）: 60

== ハコブくんの知らせ（機械の印なし） {'kind': '機械の印なし', 'shown': 98, 'click': 3, 'later': 2}

取得したデータ（3つの表の JSON・2026-11-02 15:01 に取得）

取り方は、鍵を Authorization: Bearer で渡して https://pixelstomotors.com/api/{表}?format=json を開くだけです。?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。

D="$HOME/mnt/PixelstoMotors/デジタルツイン学習R2R2R/記事/LOG430_data"; mkdir -p "$D"; cd "$D"; KEY=$(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_human_since1026.json "ev-stats?format=json&since=2026-10-26&who=human"
g ev_human_since1030.json "ev-stats?format=json&since=2026-10-30&who=human"
g ev_all_since1026.json "ev-stats?format=json&since=2026-10-26"
g hk_all.json "hk-stats?format=json"
g hk_notbot.json "hk-stats?format=json&who=notbot"
g cr_all.json "cr-stats?format=json"
g cr_chatgpt_user.json "cr-stats?format=json&bot=ChatGPT-User"

ev_all.json 200
ev_human_since1026.json 200
ev_human_since1030.json 200
ev_all_since1026.json 200
hk_all.json 200
hk_notbot.json 200
cr_all.json 200
cr_chatgpt_user.json 200
2026-11-02 06:01 UTC

cr_all.json（クローラーの表（cr-stats）・10/25〜の全期間）

01_01_cr_all.json21,845字・1行・json

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別のタブで開く保存

ev_all_since1026.json（表示の表（ev-stats）・10/26〜・人と機械の全部）

02_01_ev_all_since1026.json27,259字・1行・json

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別のタブで開く保存

ev_human_since1030.json（表示の表（ev-stats）・10/30〜・人だけ）

04_01_ev_human_since1030.json9,400字・1行・json

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(リンクなし):p","count":1}]}

別のタブで開く保存

hk_notbot.json（ハコブくんの表（hk-stats）・機械の印なし）

{"total":103,"who":"notbot","byKind":[{"kind":"機械の印なし","shown":98,"click":3,"later":2},{"kind":"機械","shown":951,"click":0,"later":0},{"kind":"印なし（10/28より前）","shown":1683,"click":6,"later":20}],"byWeek":[{"week":"2026-11-02 〜 11-08","shown":15,"click":1,"later":0},{"week":"2026-10-26 〜 11-01","shown":83,"click":2,"later":2}],"byDay":[{"day":"2026-11-02","shown":15,"click":1,"later":0},{"day":"2026-11-01","shown":8,"click":0,"later":2},{"day":"2026-10-31","shown":13,"click":2,"later":0},{"day":"2026-10-30","shown":29,"click":0,"later":0},{"day":"2026-10-29","shown":18,"click":0,"later":0},{"day":"2026-10-28","shown":15,"click":0,"later":0}],"byItem":[{"id":"record:service-robot-modding","shown":13,"click":0,"later":0},{"id":"manga:ep133","shown":12,"click":1,"later":0},{"id":"record:gemini-api-4koma","shown":11,"click":0,"later":0},{"id":"record:pi05-weak-position-d","shown":9,"click":0,"later":0},{"id":"record:large-store-cleanup-bottleneck","shown":7,"click":0,"later":0},{"id":"record:serving-robot-jams-are-aisles","shown":6,"click":0,"later":0},{"id":"record:rewind-and-correct-pi05","shown":5,"click":0,"later":0},{"id":"record:full-text-pages-and-read-with-ai-button","shown":5,"click":0,"later":0},{"id":"record:maker-voice-in-explainer-video","shown":5,"click":0,"later":0},{"id":"record:serving-robot-one-per-narrow-restaurant","shown":4,"click":0,"later":0},{"id":"issues:2026-10-29-bbb4f957","shown":3,"click":0,"later":0},{"id":"record:ai-readable-openings","shown":2,"click":0,"later":0},{"id":"record:six-stores-fix-the-rules","shown":2,"click":0,"later":0},{"id":"record:lp-demo-same-time-compare","shown":2,"click":0,"later":0},{"id":"record:vertical-4koma-for-shorts","shown":2,"click":0,"later":0},{"id":"record:read-by-ai-before-people","shown":2,"click":0,"later":0},{"id":"record:retrained-pi05-still-needs-human-corrections","shown":2,"click":0,"later":1},{"id":"record:claude-code-downloads-folder-hijack-check","shown":2,"click":0,"later":0},{"id":"record:lighting-breaks-picking","shown":1,"click":0,"later":0},{"id":"record:check-serving-robot-sim-with-phone","shown":1,"click":1,"later":0},{"id":"record:robot-research-data-index-and-provenance","shown":1,"click":0,"later":1},{"id":"record:robot-ai-divides-like-brain","shown":1,"click":1,"later":0}],"byWidth":[{"w":"pc","shown":52,"click":0,"later":0},{"w":"sp","shown":46,"click":3,"later":2}]}

作業ログ ― Google 検索から来る人は、ドメインを移してから3分の1以下に減っていた

検索から来ている人は少ない

自前の計測を読んだあと、こう聞かれました。

検索から来ている人は少ないということかな？元々そう作ってないけど

答えは「少ない」です。人の表示は1日約23回で、そのうち Google と Yahoo から来たのは8日間で44回（外から来た表示の約3分の1）でした。もともと検索で人を集める作りにしていないので、少ないこと自体は作りどおりです。比べると、ChatGPT が利用者の質問のために読んだ回数（1週間で60回）は、Google と Yahoo の検索から人が来た表示（8日間で44回）より多くなっています。 人が調べものを AI に聞く流れが、このサイトの小さな数字にも出ています。

ただ、検索の数字は外の解析サービスでしか分からないので、Google Search Console も確かめました。

Google Search Console は、Google 検索での見え方を数えるサービス

Google Search Console は、Google が無料で出している、自分のサイトが Google 検索でどう見えているかを数えるサービスです。サイトの持ち主であることを確かめる（所有権の確認）と、数字が見られます。

言葉	意味
表示回数	検索結果にそのサイトのページが出た回数
クリック数	検索結果からそのページが押された回数
平均掲載順位	検索結果で上から何番目に出たかの平均
プロパティ	Search Console で見る単位。「ドメイン」（pixelstomotors.com 全体）と「URL プレフィックス」（https://adaptdesign.jp/ で始まる住所だけ）の2種類がある
所有権の確認	DNS（ドメインの住所録）に、Google が指定した1行（TXT レコード）を足して、持ち主だと示すこと

このプロジェクトでは、新しいドメインの pixelstomotors.com を 10/17 に登録していましたが、そのとき使った Google アカウントと、旧ドメイン adaptdesign.jp を登録したアカウントが別でした。ふだん使うアカウントではどちらかしか見えず、今回の確認で3つのアカウントがあることが分かりました。

旧ドメイン adaptdesign.jp の3か月：クリック880回、上位はロボットではない記事

旧ドメイン（https://adaptdesign.jp/）の 8/1〜10/31 は、クリック880回・表示2.72万回・押された割合3.2%・平均8.5位でした。10/16 にサイトを pixelstomotors.com へ移したので、10月の終わりにかけて0近くまで落ちています。

Google Search Console の旧ドメイン adaptdesign.jp のサマリー。8月から10月の検索のクリック数の折れ線で、8月初めに40回を超え、その後は1日5〜20回で推移し、10月末に0近くまで下がっている

ページ	クリック数	表示回数
LOG17「4コマ漫画でバズる！？SNS拡散投稿術【X & Instagram編】」	125	2,570
考察「日本でフィジカルAIが広がらない理由」（japan-robot-leader-physical-ai-gap）	111	2,475
LOG18「Figmaのカラー管理。バリアブルとスタイルについて解説」	107	2,743
LOG78「Claude×ChatGPT×Geminiで実現するLP制作ワークフロー」	27	927
自宅にフィジカルAI研究室を作る（building-a-physical-ai-lab-at-home）	26	313
LOG126「Generalist AI GEN-0を解剖する」	22	659

上位3本のうち2本は、4コマの投稿術と Figma の使い方で、ロボットの話ではありません。検索の言葉も、Web 制作の道具の STUDIO と Figma の使い方が大半でした。検索で来た人の多くは、このサイトが届けたい相手ではなかったことになります。

一方で、フィジカルAI の言葉で、検索結果の1ページ目に出ているのに押されていないものがありました。

検索の言葉	表示回数	クリック数	平均順位
フィジカルai いつから	44	0	10.0
フィジカルai 研究室	36	0	7.4
フィジカルai 現状	32	0	10.3
フィジカルai 問題点	20	0	6.4
generalist ai	144	4	7.8
フィジカルai 自作	91	6	10.4

新ドメイン pixelstomotors.com の17日：クリック33回・平均18位

新しいドメインの所有権を、ふだん使うアカウントでも確かめてから数字を見ました。10/15〜10/31 は、クリック33回・表示1,820回・押された割合1.8%・平均18位です。

Google Search Console の新ドメイン pixelstomotors.com のサマリー。10月15日から31日の検索のクリック数の折れ線で、10月18日に9回の山があり、それ以外は1日0〜3回

	旧 adaptdesign.jp（8〜10月）	新 pixelstomotors.com（10/15〜31）
押された回数	1日約10回	1日約2回
検索結果に出た回数	1日約300回	1日約110回
平均の順位	8.5位	18位

LOG17 は、旧ドメインでは3か月で2,570回出ていたのに、新ドメインではまだ31回です。旧ドメインの記事の住所は、新ドメインの同じ記事へ恒久的に転送（301 転送）しています。それでも Google が新しい住所での評価をまだ引き継いでいませんでした。新ドメインで押された数がいちばん多いページはプライバシーポリシー（13回）で、サイト名やドメイン名で調べた人が着いていると見ています。

順位は良いのに押されていない言葉は、新ドメインにもありました。alphanist（36回・7.3位）、fairino fr3（15回・3.6位）、テレオペとはロボット（11回・8.9位）です。

Search Console のアドレス変更で、評価の引き継ぎを Google に頼んだ

Search Console には、「サイトを別のドメインへ移した」と Google に伝えるアドレス変更という手続きがあります。旧ドメインと新ドメインの両方の所有権を持つアカウントから出すと、評価の引き継ぎが進みやすくなります。

手順は次のとおりでした。

ふだん使うアカウントで新ドメインの所有権を確かめた。Search Console の「確認を開始」で Cloudflare に自動で1行を書き込む方法は失敗し、TXT レコードを Cloudflare の DNS の画面から手で足した（google-site-verification=SZ1M…）
アドレス変更の画面で「ステップ2にはオーナー権限が必要です」と出た。ふだん使うアカウントは旧ドメインのオーナーではなかった
旧ドメインのオーナーのアカウント（別の Chrome のプロフィール）に切り替え、そのアカウントでも新ドメインの所有権を確かめた（TXT レコードを3本目として足した）
途中で、新ドメインのプロパティを開いたままアドレス変更の画面に入り、移転先の候補に adaptdesign.jp が出た。選ぶと「新ドメインから旧ドメインへ移った」と伝えることになるので、選ばずに旧ドメインのプロパティに切り替えた
旧ドメインのプロパティで、移転先に pixelstomotors.com を選び、「検証して更新」を押した

Search Console のアドレス変更の検証結果。「検証に合格しました」の下に adaptdesign.jp から pixelstomotors.com への矢印、必須の2項目（ホームページからの301リダイレクト、両方のサイトの確認）に緑の印、推奨のサンプルページからの301リダイレクトにオレンジの印

推奨の項目「サンプルページからの301リダイレクト」がオレンジになったのは、旧ドメインのうち Pixels to Motors 以外のページ（以前の Web 制作の記事など）を、同じページではなくトップへ転送しているためです。新しいサイトにそのページはないので、このまま進めました。

Search Console のアドレス変更の画面。「このサイトは現在移行中です」、このサイト adaptdesign.jp、新しいサイト pixelstomotors.com、開始日 2026年11月2日

ねらい：旧ドメインの検索の評価（順位）を、新ドメインに引き継がせる
変わったこと：2026-11-02 から、Google が adaptdesign.jp を pixelstomotors.com の旧住所として扱い始めた（移行中）
見込める効果：新ドメインの表示回数と順位が、旧ドメインの頃（1日約300回・8.5位）に近づいていく。数週間から数か月かかるとされているので、11/16 に途中を Search Console で確かめる（見込みで、まだ測っていない）

旧ドメインの転送は、少なくとも180日は残します。所有権の確認に使う TXT レコード（pixelstomotors.com に3本、adaptdesign.jp に1本）も消しません。

検索の数字（Search Console の画面から写した表・全量）

05_sec02.md16,100字・394行・markdown

# Search Console の数字（2026-11-02 14:10〜14:30 に画面から写した）

取得元：Google Search Console の「検索結果のパフォーマンス」。期間は画面の「過去3か月」。表は画面に出た行をそのまま写した（並びは画面のまま）。

## 旧ドメイン https://adaptdesign.jp/（URL プレフィックス プロパティ）・2026-08-01〜2026-10-31

合計クリック数 880 / 合計表示回数 2.72万 / 平均 CTR 3.2% / 平均掲載順位 8.5

別のタブで開く保存

作業ログ ― クローラーが開けずに終わっていた古い住所を転送で直した

クローラーの記録に残っていた「開けなかった住所」

クローラーの表（cr-stats）には、開けなかった住所（返した結果が 404 など）も残ります。そこから、直せるものを2つ選びました。

住所	回数	クローラー	原因
/ai-agent	9	meta-externalagent・Googlebot・Amazonbot	以前 AI エージェント（Dify）を動かしていたページ。今は使っていない
/files/LOG361/01_camera_align.py_%E2%80%94episode.txt ほか4本	3〜4 ずつ	Googlebot・Applebot	LOG361 の素材のファイル名の「—」が「—」に化けた古いリンク

LOG361 のファイル名の化けは、10/30 に記事側のリンクを直していました（LOG411）。それでもクローラーが、直す前に覚えた住所を読みに来ていました。人も1回押していましたが、時期は分かりません。

ほかに 404 になっていた /manga と /prototype1〜6 は、10/30 から同じ中身のページへ転送済みでした。最初の報告で「404 になっている」と書いたのは、転送を入れる前の記録を見た誤りです。コードの中の文字列（{m[l]} など）をクローラーが住所と読んだ 404 は、存在しない住所なので直していません（LOG411 と同じ判断）。

/ai-agent の行き先は、「トップへ」と決まりました。

worker/index.js の変更（commit 22993ea）

サイトの入口のプログラム（Cloudflare Workers の worker/index.js）に、2つの転送を足しました。住所の中の「—」は、住所の形では %E2%80%94 になって届くので、その形で探して「—」に戻しています。

commit 22993ea2e68da8ee86a22b7a5f2a59036fc4464d
Author: Claude <noreply@anthropic.com>
Date:   Mon Nov 2 14:02:13 2026 +0900

    古い住所の転送：/ai-agent をトップへ、素材のファイル名の「—」に化けた住所を元の「--」のファイルへ

diff --git a/worker/index.js b/worker/index.js
index 5d47d18..3eb8a53 100644
--- a/worker/index.js
+++ b/worker/index.js
@@ -61,8 +61,11 @@ export default {
   },
 };
 
-// 転送先の決まった古い住所。今は使っていないページ（/ai-agent。Dify で AI エージェントを動かしていた頃のもの）は転送しない（404 のまま）
+// 転送先の決まった古い住所
 const MOVED = {
+  // 今は使っていないページ（Dify で AI エージェントを動かしていた頃のもの）。トップへ（エイイチ 2026-11-02）
+  '/ai-agent': '/',
+  '/ai-agent/': '/',
   '/manga': '/manga-archive',
   '/manga/': '/manga-archive',
   '/record/precision-is-not-learning': '/record/precision-is-not-learning-so101',
@@ -72,6 +75,8 @@ const MOVED = {
 const EPISODES_1_9 = { manga: new Set(['1', '2', '3', '4', '5', '6', '7', '9']), 'english-4-koma': new Set(['1', '2', '3', '4', '7', '9']) };
 function movedTo(path) {
   if (MOVED[path]) return MOVED[path];
+  // 記事の素材のファイル名の「--」が「—」（「-」が「–」）に化けた住所（10/30 に直す前のリンク）。元のファイル名へ（2026-11-02）
+  if (path.startsWith('/files/') && /%E2%80%9[34]/i.test(path)) return path.replace(/%E2%80%94/gi, '--').replace(/%E2%80%93/gi, '-');
   // シリーズのページは、前は /prototype1〜6 だった（エイイチ 2026-10-30）。同じ番号の /series へ
   const sp = path.match(/^\/prototype([1-6])\/?$/);
   if (sp) return `/series${sp[1]}`;

公開前に、変えた関数だけを取り出して、住所ごとの行き先を確かめました。

/ai-agent -> "/"
/ai-agent/ -> "/"
/files/LOG361/11_1_%E2%80%94via-stride.txt -> "/files/LOG361/11_1_--via-stride.txt"
/files/LOG361/01_camera_align.py_%E2%80%94episode.txt -> "/files/LOG361/01_camera_align.py_--episode.txt"
/prototype3 -> "/series3"
/manga -> "/manga-archive"
/files/LOG361/02_sec03.txt -> ""
/ -> ""

公開後、本番で確かめた結果です。

/ai-agent 301 -> https://pixelstomotors.com/
/files/LOG361/11_1_%E2%80%94via-stride.txt 301 -> https://pixelstomotors.com/files/LOG361/11_1_--via-stride.txt
/files/LOG361/18_AI_%E2%80%94state-from-target.txt 301 -> https://pixelstomotors.com/files/LOG361/18_AI_--state-from-target.txt
/prototype5 301 -> https://pixelstomotors.com/series5
/manga 301 -> https://pixelstomotors.com/manga-archive
/ 200 -> 
follow 200 https://pixelstomotors.com/files/LOG361/01_camera_align.py_--episode.txt

旧ドメインの記事の住所が新ドメインの同じ記事に転送されていることも、アドレス変更の前に確かめました。

https://adaptdesign.jp/pixelstomotors/record/day17 301 -> https://pixelstomotors.com/record/day17
https://adaptdesign.jp/pixelstomotors/record/japan-robot-leader-physical-ai-gap 301 -> https://pixelstomotors.com/record/japan-robot-leader-physical-ai-gap
https://adaptdesign.jp/ 301 -> https://pixelstomotors.com/
https://www.adaptdesign.jp/pixelstomotors/record/day18 000 -> 
https://adaptdesign.jp/usefulinformationlist/section 301 -> https://pixelstomotors.com/

www の付いた旧住所（www.adaptdesign.jp）は、住所そのものが引けずに返事がありませんでした。Search Console の旧ドメインのプロパティは www なしの https://adaptdesign.jp/ なので、アドレス変更には影響していません。

ねらい：クローラーが開けずに終わっていた古い住所を、行き先のページへつなぐ
変わったこと：/ai-agent はトップへ、LOG361 の素材の「—」の住所は正しいファイルへ 301 で転送されるようになった
見込める効果：cr-stats の開けなかった住所の一覧から、この2種類が消える。11/16 に確かめる（見込み）

住所を変える変更は、決まりではほかの AI（codex など）のレビューを挟みますが、今回は指示を受けてレビューなしで公開しました。

次は、AI が読んだあとに人が来る道を太くする

1週間の数字で分かったのは、このサイトは人の数十倍 AI に読まれていて、ChatGPT が利用者のために読む回数は検索から人が来る回数より多い、ということです。一方で、AI から実際に来た人はまだ1人です。2週間後（11/16）に、次の3つを見ます。

ChatGPT の回答のリンクから来た人（来た元の印 chatgpt.com）が増えているか。ChatGPT-User が読んだページと、来た人が着いたページが重なるか
アドレス変更のあと、新ドメインの検索の表示回数と順位が戻り始めたか
1ページ目に出ているのに押されていないフィジカルAI の言葉（「フィジカルai 研究室」など）の記事の、タイトルと説明文を直す価値があるか

pixelstomotors.com は人の数十倍 AI に読まれていた ― AI から来た人はまだ1人

作業ログ ― 自前の計測の3つの表から、AI と人の量を並べた

pixelstomotors.com の自前の計測は3つの表に分かれている

1週間（10/26〜11/1）でクローラーは1万1,260回、人の表示は163回

人の163回は、直接・不明とサイト内と Google が中心

ChatGPT が利用者のために読んだ60回と、ChatGPT から来た1人

新しい記事を知らせるハコブくんは、機械を除くと98回出て3回押された

集計に使ったコード（summarize_LOG430.py）

集計の出力（summarize_LOG430_output.txt）

取得したデータ（3つの表の JSON・2026-11-02 15:01 に取得）

cr_all.json（クローラーの表（cr-stats）・10/25〜の全期間）

ev_all_since1026.json（表示の表（ev-stats）・10/26〜・人と機械の全部）

ev_human_since1026.json（表示の表（ev-stats）・10/26〜・人だけ）

ev_human_since1030.json（表示の表（ev-stats）・10/30〜・人だけ）

hk_notbot.json（ハコブくんの表（hk-stats）・機械の印なし）

作業ログ ― Google 検索から来る人は、ドメインを移してから3分の1以下に減っていた

検索から来ている人は少ない

Google Search Console は、Google 検索での見え方を数えるサービス

旧ドメイン adaptdesign.jp の3か月：クリック880回、上位はロボットではない記事

新ドメイン pixelstomotors.com の17日：クリック33回・平均18位

Search Console のアドレス変更で、評価の引き継ぎを Google に頼んだ

検索の数字（Search Console の画面から写した表・全量）

作業ログ ― クローラーが開けずに終わっていた古い住所を転送で直した

クローラーの記録に残っていた「開けなかった住所」

worker/index.js の変更（commit 22993ea）

次は、AI が読んだあとに人が来る道を太くする

ひとり研究所の裏側の記録 | Series