Search Console に AI Overviews・AI Mode の表示データが出始めた

Google is now literally telling businesses specifically how to get traffic from AI Search. Yes, directly within Google Search Console. It's probably one of the most important marketing updates of 2026. Let’s go through it. By the way, you can see whether your business is appearing across Google AI, ChatGPT, Claude, Perplexity and Grok here (it's free): https://www.seo-stuff.com/free-audit Recently Google launched a new Generative AI performance report inside Search Console. At first, it looked like a very limited rollout, but now more and more site owners are seeing it. John Mueller also confirmed that Google is rolling it out incrementally and reviewing feedback along the way. So if you do not see it yet, give it a few days, but the direction is pretty clear. AI Search visibility is becoming something businesses can actually measure, and this report shows how often URLs from your site appear in Google’s generative AI features. Yes, that includes AI Overviews and AI Mode. It can also show which pages appeared, which countries the impressions came from, which devices people were using and how performance changed over time. That matters a lot, because until now, a lot of AI Search tracking has been messy. It has featured a lot of screenshots, manual prompt testing, third party tools, guessing from referral traffic, watching ChatGPT, Perplexity, Claude, Grok and Google manually to see whether your brand appears, etc. Now Google is giving site owners a direct view into whether their pages are appearing inside Google’s own AI features. There is one big limitation, though: this is impression data as opposed to clicks data. Google is showing whether your site appeared inside generative AI features, but it is not yet showing how many people clicked from those AI features to your site. This is where SEO Stuff (https://www.seo-stuff.com/gold-plan-package) can help. A business can be visible in AI Search and still see fewer clicks than it used to get from traditional search. At the same time, a business can also be completely missing from AI Search and not realize competitors are being shown instead. If your AI impressions are high but clicks are weak, the issue may be the way Google is satisfying the search before the user visits your site. If your AI impressions are low, the issue may be that Google does not understand, trust or retrieve your pages for the questions customers are asking. If only your informational pages appear, but your product, service, pricing, comparison and case study pages do not, that tells you something. If one country shows AI visibility and another does not, that tells you something. If a few pages get most of the AI impressions, that tells you something. This is why the report is such a big deal, and it gives businesses a starting point so you can finally ask better questions. Which pages are showing up in AI Overviews? Which pages are showing up in AI Mode? Which countries are seeing the brand? Which devices are seeing the brand? Which parts of the buying journey are missing? Which content is actually being used by Google’s AI systems? That last question is the one most businesses should care about, and it is the one SEO Stuff solves for brands on a daily basis: https://www.seo-stuff.com/premium-content-bundle-service A customer can ask a long, complicated question and Google can break that question into several related searches behind the scenes. That means the same business may need useful content around problems, use cases, comparisons, pricing, alternatives, industries, objections, case studies, product details and implementation. One generic service page probably will not cover all of that. A brand with useful content across the full buying journey has more chances to be discovered. Google’s new report will make that easier to see. And this also lines up with what Google just said in its “Good SEO is good GEO” piece. (See my post from yesterday if you missed it.) Google said its generative AI features are rooted in the same core ranking and quality systems as traditional Search. AI Mode and AI Overviews retrieve up-to-date content from Google’s existing search index. So the businesses that want AI visibility still need the same boring foundation: crawlable content, useful pages, clear product information, real expertise, entity clarity, authority, third party validation, etc. That is where SEO Stuff (http://seo-stuff.com) comes in. The done-for-you package combines 10 AI-search-optimized articles with three DR50+ authority placements: https://www.seo-stuff.com/gold-plan-package The content helps your business cover the questions customers ask before buying, including problems, use cases, comparisons, pricing, alternatives, industries, objections, case studies, product details and implementation. The authority placements help your business show up across trusted sources that search and AI systems use to understand categories. Google is starting to show businesses whether they are appearing in AI Search. Once something becomes a report, it becomes something clients, founders, CMOs and competitors start paying attention to. If you want to see whether your business is already being cited, understood and recommended across Google AI, ChatGPT, Claude, Perplexity and Grok, check here: https://www.seo-stuff.com/free-audit

— Alex Groberman (@alexgroberman) Sat Oct 17 15:48

these just appeared in the OpenAI API: aurora-blue-alpha aurora-green-alpha aurora-red-alpha there was an openrouter model called aurora-alpha earlier this year which was likely GPT-5.3-Codex-Spark so these could also be specialized codex coding models, or high-speed inference versions of GPT-6 models

— Lisan al Gaib (@scaling01) Sun Oct 18 02:59

【新機能】OpenAIが共同編集可能なChatGPT Spaceの紹介動画を公開。 チームとChatGPTが同じページを一緒に編集できる場所。NotionやGoogleドキュメントの立ち位置を狙ってきましたね。 ・人とChatGPTのカーソルが同時に動く ・ページを開発タスクに自動で分解 ・そのページをCodexで指定して実装 ・スライド対応は10月16日に追加 ・Pro・Business・Enterpriseで提供

— チャエン | デジライズ CEO《重要AIニュースを毎日最速で発信⚡️》 (@masahirochaen) Sat Oct 17 23:00

【速報】OpenAI、Codex・ChatGPT Workの利用枠リセットを告知！🎉 2026年10月18日（日本時間）、OpenAIの28日間連続アップデート企画「Day 13」で、利用制限のリセットが発表されました！ CodexやChatGPT Workを使い倒して、週間利用枠が残りわずかになっていた人には朗報です。 ■ 今回の発表内容 OpenAIのTibo氏がXで、 「Day 13/ Le limit reset」 と投稿。 追加説明では、米国太平洋時間10月17日中に反映する予定と案内されています。 日本時間では10月18日の日中から夕方にかけてが目安です。 ※リセット告知と全アカウントへの反映完了は別です。反映状況は各自の利用状況画面で確認してください。 ■ そもそも何がリセットされる？ 今回の話題は、主にCodex・ChatGPT Workのエージェント利用枠に関するものです。 通常のChatGPTでの会話や画像生成など、すべての利用制限が一律に解除されるという意味ではありません。 また、利用枠が永久に増えるわけでもありません。 対象の利用枠が回復する、というものです。 ■ 前日のアップデートも重要！ Day 12では、CodexとWorkの利用効率改善も発表されています。 ・サブエージェント間でのコンテキスト再利用 ・コンテキストのキャッシュ保持時間延長 ・リクエスト振り分けの改善 ・キャッシュヒット率向上 つまり、単に利用枠を回復させるだけでなく、同じ利用枠から実際に得られる作業量を増やす改善も進んでいます。 なお、何倍使えるようになったかという具体的な倍率は公表されていません。 ■ 自分のアカウントで確認する方法 ChatGPTまたはCodexの「設定 → 使用状況（Usage）」で、利用枠と次回リセット予定を確認できます。 Codex CLIの場合は /status でも確認可能です。 今回のような自動リセットは、保存して後から使う「Banked Reset」とは別物。 対象アカウントには自動的に反映されるため、手動でリセットボタンを押す必要はありません。 また、リセットによって週次利用期間の基準日が変わる場合があります。 ■ 個人的な感想 ここ最近のOpenAI、単純なモデル性能の強化だけでなく、実際にAIエージェントを使い続ける人の不満を減らす方向にも力を入れている印象です。 いくらAIが高性能でも、利用枠が尽きれば仕事は止まります。 だからこそ、キャッシュ効率の改善と利用枠リセットの組み合わせは、ヘビーユーザーにとってかなりありがたい。 僕もCodexとWorkを日常的に使っているので、この改善は歓迎です。 ただし、リセット後に使い始めると次の週次更新予定が変わる場合もあるので、利用状況は一度確認しておくのがおすすめ。 公式発表はこちら👇 https://x.com/thsottiaux/status/2111492673890824348 #OpenAI #ChatGPT #Codex #ChatGPTWork #AIエージェント

— 慧梓（けいし）｜くだらない事に全力投球する人 (@keishivmusic) Sat Oct 17 21:51

OpenAI and Anthropic weekly recap, week 42 of 2026: Sora revival talks, a hidden recorder at OpenAI, Anthropic's own source control Scion, a solved ECDSA mystery and more The Information reports OpenAI is in talks to revive Sora through a startup co-founded by Jeffrey Katzenberg and former Sora lead Bill Peebles, with OpenAI taking equity if a deal closes OpenAI says they found a hidden recording device in an office, used their models to trace it to an employee, and the FBI made an arrest The Information also reports early OpenAI talks to buy security firm Trail of Bits ChatGPT now gathers information across open Chrome tabs through OpenAI's extension, and can control them in ChatGPT Work OpenAI's GPT-6 Pro got faster with better tool use and multiple agents working in parallel GPT-5.5 is retired from ChatGPT, ChatGPT Work and Codex, API unaffected, and OpenAI's GPT-4o and GPT-4.1 leave the API on January 14, 2027 Anthropic says strengthened defenses against distillation attacks cut what distillers can harvest by 90 to 99 percent An internal Claude research model at Anthropic solved a 25-year-old mystery about the NIST ECDSA curve seeds, tracing them to a C library random generator seeded with Unix timestamps Anthropic built Scion, their own source control, and moved their monorepo off git in five months as daily merges went from roughly 2,500 to over 30,000 Claude Code desktop was reworked for many sessions side by side, Code Review is generally available for Claude Team and Enterprise, and Opus 5.5 fast mode left research preview on the Claude Platform Anthropic reports agent hours passed human hours internally in March, opened a Singapore office, and says Democracy Works voting information comes to Claude ahead of the US midterms, and more

— Tibor Blaho (@btibor91) Sun Oct 18 10:57

Claude Code just got an official plugin directory that hit 41k stars in days Anthropic is now maintaining a public marketplace of high-quality plugins so you can extend Claude Code without hunting random repos https://github.com/anthropics/claude-plugins-official

— 0xMarioNawfal (@RoundtableSpace) Sat Oct 17 19:15

HAIKU 5.5 FOUND THE SAME 8 BUGS AS OPUS 5.5 AT 1/40 OF THE TOKEN PRICE one test file, 8 bugs I planted myself, the same prompt on http://claude.ai, default settings, two runs per model. Haiku 5.5 got 8/8 both times in ~11s. Opus 5.5 got 8/8 both times in 17-20s the test: → a 96-line Node order service with a hardcoded key, SQL injection, an off-by-one in pagination, qty = 0 inside an if, a missing await, Math.random reset tokens, no owner check on cancel, a token check that crashes on bad input → prompt: one line per bug, function + what breaks, no fixes → Haiku returned 14-18 lines, Opus 21-22. both flagged real issues I didn't plant → one Haiku run named the qty = 0 bug but got its effect wrong. Opus described it right both times the math for a 200-file sweep at ~3K tokens in and ~600 out per file: → Haiku 5.5 at $0.10 / $0.50 per 1M tokens = $0.12 → Opus 5.5 at $4 / $20 = $4.80 → Haiku 5.5 prompts over 100K tokens bill at $0.50 / $2.50, 5x more, so keep each scan agent under 100K → Claude Code's dynamic workflows run this as a script that fans out the scan agents, with a model per stage Keep or Drop: keep Haiku for read-only scans, Opus for the plan and for reading what survives verification drop scan agents running on Opus one file and two runs per model. treat it as a smoke test the workflow prompt is in the reply ↓

— Van de Rook | AI Tools, Tested (@Vanderook) Sat Oct 17 19:39

Claude Code added a setting to choose which model the auto mode classifier uses on your machine. Set CLAUDE_CODE_AUTO_MODE_MODEL to pick the model behind the client-side auto mode classifier. It leaves server-side auto mode alone. The update also refuses image files over 128 MB in the Read tool, stops prompt suggestions from spending credits on credit-only models, and adds a notice that the standalone Claude Design site closes by December 14. Claude Code is Anthropic's coding agent for the terminal. Choosing the classifier model yourself gives teams one more lever on speed and cost. https://code.claude.com/docs/en/changelog

— Average AI Bro (@AverageAiBro) Sun Oct 18 01:33

PSA for devs using Gemini 4 Argon on the Google AI Pro plan: The model is crazy good for coding, but the usage limit runs out way too fast. Google AI Pro lets you share your plan with up to 5 family accounts for free. I just turned on "Share Google One with family" in settings and added my 2 secondary dev emails. Now I get 3x the Argon quota. Every account gets its own separate Argon limit. No more waiting 5 hours for the limit to reset. 😎 How is everyone else finding Argon for coding so far?

— Se Hozaifa (@SeHozaifa) Sun Oct 18 06:09

【革命が起きそうです】 Googleが「Harness²」をオープンソースで公開しました。 AIエージェントが、自分の指示やツール、スキルを仕事のたびに直していく仕組みです。 ・仕事ごとに設定の直し案を出して、何パターンか試して比べる ・そこで覚えた教訓は、次の仕事に持ち越す ・モデル本体は触らないし、正解データも採点役も要らない Gemini 3.5 Flashで法務や事務の課題を試したら、1回直しただけで元の設定を上回ったそうです。 要するに、人が1回作って終わりだった設定を、AIエージェントが働きながら育てていくってこと。 Claude Codeで事業を回していて思うのも、差がつくのはモデルより、CLAUDE.mdやスキルの中身なんですよね。 今日、CLAUDE.mdに「失敗したら、その教訓を1行書き足す」と入れておきましょう。

— きんりゅう＠AI副業6ヶ月で2182万円 (@kinryuchan) Sun Oct 18 11:18

動画生成AIを使わず、Claudeがコードだけで作られたアニメ。なんと25分の超大作👀✨ すごすぎますね... AIアニメの作り方は「画像生成→動画生成AI」だけでなく、コードで絵を描いて動かす方法もあります。 私も最近この方法で色々試しているのですが、見ながら「ここをもう少し〜」と言葉で直してもらえるのが気に入っています♪

— みーみー｜AIアニメクリエイター (@mimi_N20) Sun Oct 18 00:52

昨日はClaude Codeと、無人で動く書き込みの仕組みを7件入れ直しました🛠️ Amazonの在庫を楽天に合わせる同期を新設し、30分ごとに回しています。 7件ともClaude・Codex・Grokのクロスレビューを3ラウンド通しました。 セカンドブレインは11,668ノートを再索引しました。 #ClaudeCode #AI活用 #EC運営

— AI 愛 | 生成AIでEC運営を効率化 (@Rex1129_) Sun Oct 18 01:03