Market analysis

· 28 min

Google Search in October 2026: the AI answer took the page

October had one confirmed Google update and three weeks of unconfirmed ones. What changed for certain was the page: AI Overviews on most searches, AI Mode with new links, a new model and ads, and an admission from Google that AI Mode earns less per search.

Topic radarSelect a topic to filter the archive. The radar shows how this issue's words divide across the topics.

Signal readout

Topic mix

  • AI: 26%
  • Google & Search: 47%
  • PPC: 4%
  • Analytics: 16%
  • Brands: 7%
  • AI26%
  • Google & Search47%
  • PPC4%
  • Analytics16%
  • Brands7%

Share of the issue's words about each topic, counted section by section.

Why it matters

If people can publish, share or generate a page on your domain, find out how many of those pages are indexed before Google does. Make them noindex by default, verify the property in Search Console, and watch the Page Indexing report for jumps you did not plan.

The short answer

What
A reading of Google Search and its rivals across October 2026: the September spam update and the unconfirmed volatility after it, Google's new guidance on scaled, faked and shared pages, AI Overviews and AI Mode on the results page, Search Console, rank-tracking data quality, courts and EU rules, click and share data, Alphabet's third quarter and Bing.
Why
Because October settled several questions the year had left open — how common AI Overviews are, what AI Mode does to Google's revenue, whether third-party ranking data can be trusted — and none of the answers came from a core update.
Who
SEO and GEO practitioners, publishers, site owners whose pages people can create or share, and anyone who reports search performance.
Where
Global, with the European Economic Area treated separately where Google serves different results, and US and EU courts where they apply.
When
1–30 October 2026, with the last days of September where the month's events began there.
How we know
From the Google Search Status Dashboard, Google's documentation and posts, Alphabet's earnings, court documents as reported, the studies' own pages (Nozzle, Semrush, SE Ranking, Chartbeat, Marie Haynes and others), the Bing Webmaster Blog and the trade press. It builds on our mid-October analysis and the weekly digests. Every source is listed at the end.

In plain words

In October Google cleaned out a lot of spam pages, and then kept moving rankings around without saying why. Its AI answer now sits on top of most searches. Google told investors that searches in its chat-style AI Mode bring in less money than normal searches, and started selling ads there in more countries anyway. The tools people use to check their Google rankings got fake results for part of the month, so it is safer to look at your own data from Google and your own site.

In mid-October we wrote that Google's page had changed more than its ranking. The second half of the month made that sharper. The ranking produced exactly one confirmed event, the end of the September spam update on 8 October, followed by at least four bursts of volatility Google never confirmed. The page, meanwhile, became an AI page: studies published in October put AI Overviews on more than 80% of the searches they follow, AI Mode got a new model, more links and ads in ten more countries, and on 28 October Google told investors that AI Mode's growth had slowed Search revenue because it earns less per query.

Two other things happened that matter as much for anyone who reports on Search. Google wrote down, in several documents within one month, where it draws the line on scaled, faked and shared content. And the instruments used to watch Google from outside were shown to be unreliable: rank trackers were served altered results, Search Console fell behind twice, and a major backlink index deleted hundreds of billions of spam links in one go.

This analysis takes the month by theme: rankings and updates, policy, the results page, what site owners can see, what third parties can see, courts and regulators, clicks and money, and rivals. It ends with our reading, a note on our own crawler, and what to watch in November.

DateWhat happenedStatus
30 Sep – 1 OctPenske and Chegg suits over AI Overviews dismissedCourt opinion
1–2 OctHelpful-content and generative AI guidance rewrittenGoogle documentation
8 OctSeptember spam update ends after 13 days 16 hoursConfirmed by Google
10 OctNozzle: 8.0% of collected Google SERPs alteredUnconfirmed by Google
13 OctGemini 4 Argon in AI Mode; Bing Topics PortfolioAnnounced
15 OctMore, higher inline links in AI Mode and AI OverviewsAnnounced, no click data
16–29 OctRanking volatility on 16, 20–21, 24 and 27–29 OctUnconfirmed by Google
23 OctAI-written summaries in AI Overview citation cardsSpotted, no comment
26 OctSpam guide names shared and generated pagesGoogle documentation
28 OctAlphabet Q3: Search +12%; AI Mode "lower monetization"Earnings
28 OctAds in AI Mode in ten more countriesAnnounced
October 2026 in Google Search: the events this analysis rests on.

Rankings: one confirmed update, three unconfirmed weeks

The September 2026 spam update began on 24 September and, according to Google's Search Status Dashboard, "The rollout was complete as of October 8, 2026." It took 13 days and 16 hours, within the "up to two weeks" Google promised, and applied globally and in all languages. Google did not say which tactics it targeted or what share of queries it touched, and Search Engine Roundtable noted it was not a link spam update. Every other spam update this year took between 19 hours and under three days.

Google spam updates in 2026: rollout length, hours (Google Search Status Dashboard)

March19.5
June49.0
August64.0
September328.0
September's update ran 24 September – 8 October: 13 days and 16 hours, against under three days for each of the three before it.

Trackers saw it land in three waves. The first, on 25–27 September, fell mostly on templated and programmatic sites; Lily Ray's example was AI-generated pages with one page for every phone number or area code. The second, on 30 September, was mixed, and Reddit's machine-translated pages rose again in Italy, Germany, Brazil and France. The third, on 4–6 October, hit news sites, Discover and Google News hardest; one news publisher on a webmaster forum reported earnings "currently down 80%". Google also repeated that recovery from a spam update can take many months.

After 8 October the Dashboard lists nothing. The trackers do not agree. Search Engine Roundtable reported a spike in volatility and forum complaints on 16 October; swings on 20 and 21 October, where Glenn Gabe noted that Ahrefs and Semrush placed the drops on the wrong dates; "significant ranking volatility" on Saturday 24 October; and on 27 October a shift that "seems to have started about 12 hours ago, but Google hasn't officially confirmed anything yet", which by 29 October "continues to get more heated by the day". There has been no core update since the one that ran from 21 May to 2 June.

Our reading: October's movement is real enough to show up in many tools at once, and unconfirmed enough that nobody can name it. With trackers being fed altered results for part of the period (see below), the dates in a tracker chart are a starting point, not a finding. The dates worth annotating in a report are the ones Google confirmed — 24 September and 8 October — plus the unconfirmed ones as unconfirmed.

Policy: the line around scaled, faked and shared pages

The spam update had no stated target. Google's documentation in the same month said plainly what it is looking for. On 1–2 October it rewrote two pages. The helpful-content guidance now defines main content as "any part of the webpage that directly helps the page achieve its purpose", takes four attributes from the quality rater guidelines — effort, originality, talent or skill, and accuracy — and adds a paragraph that until now had appeared only in the rater guidelines.

Fabricating creator profiles (such as by using AI-generated headshots, made-up names, or false credentials to make content appear as if it was written by human experts) is a form of deception.

Google Search Central, "Creating helpful, reliable, people-first content", October 2026

The page on generative AI content now says it is "critical to manually factcheck and review all AI-generated content", because "generative models don't retrieve facts, but predict a likely sequence of words." At Search Central Live in Barcelona, as reported on 5 October, Gary Illyes said Google filters out 40 billion spam pages a day, uses AI to find AI spam, runs more spam updates because there is so much more new content, considers scaled low-effort content a bigger concern than link spam, and judges quality page by page rather than domain by domain.

The month ended with the most concrete change. On 26 October Google updated its guidance on user-generated spam to cover "tools that let users publish shared pages, generated content, or web apps", with a new section, "Only index content meant for Search". Pages made for sharing, collaboration or utility should be noindexed or blocked by default; platforms should verify their site in Search Console to receive manual action and security alerts, and watch the Page Indexing report for unexpected spikes. A Search Engine Journal follow-up on 28 October cautioned that the guidance "does not establish that a crackdown is imminent." It does establish what Google will point to if one comes.

DateGoogle guidanceWhat it says now
1–2 OctHelpful contentDefines main content; fabricated creator profiles are deception
1 OctGenerative AI contentManually fact-check and review all AI-generated content
8 OctUGC Fresh Data ProgramApproved platforms push posts to Search outside crawling
16 OctIndexing APIApproval-form wording removed; 200 requests a day, job and livestream pages
21 Octrobots.txt (video)Governs access, not what is done with content already fetched
21 OctDowntimeServe HTTP 503 while patching, not a 404, 500 or timeout
26 OctUser-generated spamNoindex shared, generated and utility pages by default
27 OctFaviconsGooglebot must crawl the home page and follow redirects to the favicon
What Google wrote down for site owners in October 2026. Documentation changes, not ranking updates.

Two smaller pieces belong in the same picture. On 21 October Gary Illyes called robots.txt "an access preference protocol": a disallow rule stops a crawler from fetching a page and says nothing about content already fetched, and an invented rule is silently dropped. And on 30 October he said AI has made crawler impersonation worse and that firewalls and CDNs "are not perfect" at spotting fake Googlebots; verify by reverse DNS, not by user agent.

Our reading: Google is drawing its line through documentation and spam enforcement, not core updates, and in October the line moved from "thin" content to content that misrepresents where it came from — invented authors, unchecked AI text, and pages that users generate on someone else's domain. Outside Google the same line was drawn the same month: Anthropic's usage policy, published 8 October and effective 12 November, bars using Claude to seed the sources AI answers draw from with content that misrepresents its origin.

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The page: AI Overviews on most searches

At the start of the month the question was whether AI Overviews had reached brand searches. On 30 September Chris Long found one on 93% of about 100 brand names he tested, and DemandSphere said AI Overviews on branded queries "tripled in September". On 26 October Search Engine Roundtable put three datasets side by side under the headline "AI Overviews now show up for over 80% of Google Searches", and recalled "50% in June of last year" and, earlier still, "about 15%".

Share of searches with an AI Overview, %, by study (October 2026 publications)

Chris Long, brands93.0
Semrush, commercial88.0
SE Ranking, US brands82.5
seoClarity, tracked62.0
SE Ranking, DE brands40.4
Different panels, not one trend: about 100 brand names (30 Sep); 400 commercial keywords on US desktop, August data; 1,000 US and 1,000 German brand keywords, October; seoClarity's tracked queries, "over 62%", via Search Engine Roundtable.

The details are more useful than the headline. Semrush's 88% rises to 97.08% when weighted by search volume, and ecommerce moved fastest, from 32.62% in September 2025 to 85.11% in August 2026. SE Ranking found smaller brands get more Overviews — 85.2% for brand keywords under 50,000 US searches against 63.3% over a million — and that the Overview cites different pages from the ones that rank: homepages are 71.1% of brand-site URLs in the organic top ten but 36.8% of brand-site citations. Germany's 40.4% against 82.5% in the US is a reminder that Europe is still a different search engine. And Nozzle's data adds a caution about the method: on the altered pages served to trackers, AI Overviews appeared on 34.9% of results against 54.2% on normal ones, so a coverage figure from scraped results depends on how many of them were poisoned.

The Overview itself kept changing. On 15 October Google said it had made "continued and substantial increases to the presence of inline links" in AI Mode and AI Overviews, that they will appear higher more often, and that it is testing a section of official-site links at the top of some answers; use of Preferred Sources "has grown by more than 7x since the start of the year". It gave no click data. Over the following two weeks Google was seen testing in the other direction: citation cards with a short AI-written description of the cited page instead of the page's own text (23 October, unconfirmed), Overviews without the "AI Overview" label on some desktop queries (20 October, possibly a bug), an Overview with no citations card, and refinement bubbles that open AI Mode instead of changing the query (29 October, both unconfirmed). On 12 October Overviews were even seen answering typos and searches with no matching pages.

AI Mode: a new model, the sidebar, and ads

On 13 October Google began rolling out Gemini 4 Argon in AI Mode for Google AI Pro and Ultra subscribers, chosen from the "+" menu; free users keep the default model. It is the third model behind AI Mode since May. The next day Search Engine Roundtable showed the AI Mode sidebar, with chat history, being tested on the ordinary results page. And on 21 October Sundar Pichai described where this goes: "Our vision in the near future is it's one box."

Ads moved in during the same weeks. On 17 October The Keyword reported a test of ads in AI Mode for Personal Intelligence users, who connect Gmail and Photos. On 28 October Google announced ads in AI Mode for Australia, Canada, India, Kenya, Malaysia, New Zealand, Nigeria, Pakistan, the Philippines and Singapore, with Brazil, Mexico and the UK planned for the fourth quarter, and "multiturn ads" on follow-up questions in the US. Google's case to advertisers is that "click-through rates are already similar between sponsored and organic product list items within AI Mode" — a claim without a number. Our PPC analysis covers the advertiser side; for organic results the arithmetic is simple, because every ad inside an answer competes for the space its sources occupy.

Discover moved the same way. Google job postings found in October describe a Discover team that "leads by recommending AI-generated content" for a feed one posting puts at more than 500 million daily active users. A test that made Discover's source links unclickable, reported on 23 October, was switched off; Google's Rajan Patel called it "a bug in a Discover experiment".

What site owners can see

Search Console gained small things and lost time. On 6 October the Performance report learned to filter by several countries and several devices at once, and the help page for the Search generative AI control added a notification for the owner of a top-level property when a child property overrides its setting — so one section of a site can leave AI answers while the rest stays in. On 11 October the Performance report was more than 64 hours behind, a delay not seen since December 2025. Later in the month the Page Indexing report stopped updating after 16 October; John Mueller said that was nothing to worry about: "Indexing doesn't change quickly, and when it does, you see that reflected in the performance reports first."

What it still cannot show is the thing October made most important. The generative AI reports count impressions in AI Overviews and AI Mode, with no clicks and no queries, and every link in an AI Overview takes the Overview's position — so a link Google moved higher inside the answer on 15 October reports the same position as before. Two Mueller answers set expectations for the rest: a sitemap that shows "couldn't fetch" may simply be one Google decided it does not need, and for spammy backlinks shown in third-party tools, "I wouldn't anchor on whether Search Console shows them".

Bing remains ahead on the AI side. On 13 October Microsoft added Topics Portfolio to the AI Performance report in Bing Webmaster Tools: it groups the queries a site is cited for in Copilot and Bing's AI answers into topics, estimates each topic's size, and lists queries where other sites are cited and yours is not. Microsoft asks readers to "treat the numbers as directional signals for planning, not as a precise ledger", and topics are generated by AI, so a competitor's brand can appear as an opportunity.

What third parties can see: poisoned results

October is when the problem with third-party Google data got numbers. On 5 October Roger Montti of Search Engine Journal set out why Google keeps making its results harder to scrape: Cloudflare reports daily requests from AI agents on its network "grew by more than 1,700%" in a year, many of those agents query search engines, and to Google they look much like a rank tracker. Ryan Jones, who builds SERPrecon, put it bluntly: "We're getting to the point where nobody will have rank tracking anymore because of the crazy amount of AI scraping going on."

On 10 October Nozzle published the measurement. Of 17.8 million Google results pages it collected from 13 September to 9 October across 49 countries, 8.0% were altered, against a baseline of 0.17% from 20 August to 9 September. Its requests started failing on 13 September, the first altered pages appeared on 20 September, the peak came on 29 September, and since 1 October the daily share has ranged from 4.2% to 11.4%. On 21 October Nozzle updated the study with data to that day, and the problem had not gone away: counting page 1 alone, 8.7% of results pages since 13 September were altered, against 0.17% before; counting page 1 or 2, 22.6%, with a peak of 43.5% on 30 September and a daily share between 3.8% (15 October) and 40.4% (5 October), at 35.7% on 21 October. Two thirds of altered results (67.9%) had their usual sites back within three days.

Google results pages served altered to Nozzle, % of pages collected (Nozzle, 10 October 2026)

Baseline, Aug–Sep0.17
Lowest day since 1 Oct4.20
13 Sep – 9 Oct8.00
Highest since 1 Oct11.40
Peak, 29 Sep27.00
In a normal result 88.5% of the sites from the previous check were still there; in an altered one, 20.7%. Most altered results lasted one check.

It answers them with a complete page whose results are wrong.

Nozzle, "Poisoned Google SERPs", 10 October 2026

The altered pages look normal, which is the danger: tracked sites drop out of the top ten and social sites and forums fill the gaps. SE Ranking reported "missing positions for some keywords", DataForSEO, Advanced Web Ranking and Morningscore posted about problems, and SISTRIX's incident for reduced Google data collection, open since 27 August, still said in late September that Google returns "incomplete or distorted" results in some cases. Lily Ray's verdict on 8 October was "Rank trackers are too unreliable at the moment." On 27 October Semrush published its own account of "poisoned" results pages, some of which look normal and hold pages that only loosely match the search, and said "Google hasn't commented publicly." Google still has not.

The same month showed that other third-party indexes can move for reasons unrelated to any one site. On 26 October Majestic said it had removed a wave of link spam aimed at backlink tools themselves — "over 10,000 sites" built to insert adverts for link building services, and "the number of backlink URLs removed from the index is in the hundreds of billions." Many sites saw their referring domain counts fall overnight. Three days later Mueller's advice on such links was "I'd just ignore them."

Our reading: from mid-September on, any third-party number about Google — positions, AI Overview coverage, link counts — needs to say how it was observed and how many observations it rests on. First-party data is slower and narrower, but it is not being poisoned.

Courts and regulators

The month opened with a ruling. In an opinion signed on 30 September and reported from 1 October, Judge Amit Mehta dismissed every federal antitrust claim brought by Penske Media and Chegg over AI Overviews: they had "failed to plead any actual agreement whereby Defendants promised to 'sell' Plaintiffs any specific amount of traffic." In his words, "an expectation is not an agreement. It is simply how a general search engine works." The opinion did not deny the harm, and it did not decide the question publishers care about most: their California unjust-enrichment claims were left undecided, not rejected, and a final appealable order accompanies the opinion. As of 7 October neither company had said whether it would appeal or refile.

In the main US search case, as our mid-October analysis reported, Google and the DOJ jointly asked on 5 October for the D.C. Circuit appeal to be prioritised, with argument as soon as 9 December. In Europe, Google appealed on 29 September to the EU General Court against the Digital Markets Act decisions that require it to share search data with rivals from January 2027; the same day Nick Fox said "it literally makes me sad that we need to degrade our product in this way." In the UK, the CMA's consultation on a search choice screen that could include AI assistants closed on 9 October, with a decision expected by the end of the year.

Money for publishers moved by agreement, not by ruling. On 30 September The Information reported that Google's AI contribution pilot pays about 100 publishers, with payments for several small and midsize sites at "less than one-tenth of 1% of their advertising revenue"; on 15 October Google said its News AI pilot covers more than 400 publications.

Clicks and money

Alphabet reported its third quarter on 28 October, and it answered the question the year had been asking. Sundar Pichai led with demand: "our year-over-year query growth rate is the highest it's been in the last five years", queries in AI Mode "are on average three times longer than traditional searches", and "one in five AI Mode searches globally use voice, images, or documents". The revenue moved the other way. PPC Land reports Search revenue of $63.4 billion, with growth slowing to 12% from 17% in the second quarter. Philipp Schindler named exchange rates first — "the single largest driver of search deceleration relative to Q2" — and then AI Mode.

It's worth noting that the strong growth in AI Mode queries had an impact because of the lower monetization

Philipp Schindler, Alphabet earnings call, 28 October 2026, as quoted by Search Engine Roundtable

That is the first time Google has said, on the record, that its AI search surface earns less per query than the old one. The same day it took ads in AI Mode to ten more countries. Read together, the two announcements describe a plan: grow AI Mode's queries, then raise what each one earns.

For sites, the click data published in October points one way. Chartbeat's Q3 report puts search at 12% of North American publisher page views, against 21% a year earlier, though it groups all search engines and gives no absolute numbers. Reddit told shareholders that "during October, we have seen that search traffic has dropped by more than 1 million referrals on average per week." And three studies gathered on 22 October agree that AI assistants have not replaced the clicks: in Marie Haynes' data from 100 sites and 145 million sessions, "sessions from ChatGPT amounted to just 0.62% of the volume driven by Google Organic", though ChatGPT visitors converted at 13.8% against 3.02% and Google still drove 96.5% of conversions; SEO Works found organic search delivered 39 times the traffic of AI assistants.

Put plainly, Google's AI answer now sits on top of most searches, Google still sends almost all the visits that search sends, and it sends fewer of them to publishers than a year ago. Being named in the answer and being clicked are now separate results, and October's data measured them separately.

Rivals: Bing measures, others build indexes

Statcounter's September figures had Google at 89.94% of worldwide search and Bing at 5.29%, its highest in two years. Microsoft reported its quarter on 28 October with search and advertising revenue excluding traffic acquisition costs up 12%, the same rate as Google Search. Bing's product moves this month were measurement (Topics Portfolio), a "Read more" link tested at the end of organic snippets (16 October, unconfirmed), and Microsoft-Decision-1, a routing and verification model being tried in Copilot (12 October).

The more interesting rivals are the indexes being built for AI. On 15 October Cloudflare and OpenAI said a research pilot "has enabled OpenAI to discover and index hundreds of millions of new web pages" for ChatGPT search, using signals from about 1% of Cloudflare's network. On 17 October DeepSeek opened a Search API and a Fetch API over an index it says holds "hundreds of billions" of pages, ranking results with its own authority tier and naming no crawler that robots.txt could address. And on 28 October seoClarity estimated ChatGPT's search-like activity at "approximately 7.5% of Google's search-query volume" — a model built on OpenAI's own message data, not a measured count. Each is another index with its own idea of which pages count, and coding agents can now query some of them directly.

What it adds up to

This section is our reading, not a measurement.

  • The answer is the default page. With AI Overviews on most searches in every October panel but Germany's, the first thing a searcher sees is Google's summary, and the pages it cites are often not the ones that rank. Ranking is now one input to visibility, not the measure of it.
  • Google has put a price on that. AI Mode earns less per query, by Google's own account, and Google's answer is more ads inside it. Expect the space for organic sources inside AI answers to be contested by ads, not only by other sources.
  • Policy is aimed at provenance. Fake authors, unchecked AI text and user-generated pages that were never meant for Search were all named in October. The risk is no longer just thin content; it is content whose origin is misrepresented, or that nobody chose to index.
  • Outside observation is degraded; first-party data is the baseline. Altered SERPs, unconfirmed volatility, a delayed Search Console and an index purge at Majestic all happened in one month. A number about Google is only as good as its method and its sample size.
  • Rankings moved without names. Four bursts of volatility and no confirmed update since 8 October mean that "what changed" is often unanswerable from outside. Annotate confirmed dates as confirmed and the rest as reported.

Our tool: read your own site

October's themes all point back at the site itself. Google's new spam guidance on shared and generated pages means somebody has to find out which of yours are indexable before Google does. Rank trackers were noisier than usual, with poisoned results and three weeks of unconfirmed volatility, so your own crawl and your own Search Console are the steadier reading. And with AI Overviews citing pages that do not rank, how each page reads to AI search is now part of a technical audit.

That is what GLLmolfar is for. It is GetLoopLoop's desktop crawler, in preview, for Windows and Mac, and it crawls your site on your own computer. It sorts findings by impact — indexability, redirects, canonicals, internal links, structured data — and checks how pages read to AI search, with an AI-readiness score, a check of what AI bots may fetch under robots.txt, and llms.txt. It groups pages by meaning with an on-device embedding model, for topics, cannibalization and semantic search, without sending the crawl to a cloud AI service. It reads Search Console data read-only, from Google straight to your computer, runs planned crawls, and exports to Excel, Google Sheets and Jira. It also runs an MCP server, so an AI agent such as Claude Code or Codex can start a crawl and read the fix list.

GLLmolfar preview: an AI agent reads a site's technical SEO through MCP. In English, 14 seconds; the site and its numbers are a demo.

What to watch in November

  • A named update. None since the spam update ended on 8 October, and none of the core kind since June. Whether the late-October volatility turns into an announcement, or stays unnamed.
  • Enforcement of the shared-pages guidance. Whether platforms that host user-generated pages see manual actions or Page Indexing drops.
  • Ads in AI Mode in the UK, Brazil and Mexico, planned for the fourth quarter, and whether Google publishes any click numbers for AI Mode, sponsored or organic.
  • Search Console. Whether the AI reports gain clicks or queries, and whether link positions inside AI answers get reported at all.
  • Rank-tracking data. Whether Nozzle's altered share on page 1 (8.7% in its 21 October update) falls back toward its 0.17% baseline, and whether Google says anything.
  • Courts and rules. The D.C. Circuit argument, as soon as 9 December; any appeal or state refiling by Penske or Chegg; the CMA's choice-screen decision; Anthropic's usage policy taking effect on 12 November.

Questions and answers

Was there a Google core update in October 2026?

No. The only confirmed update in October was the end of the September 2026 spam update, which ran from 24 September to 8 October. Trackers reported volatility on 16, 20–21, 24 and 27–29 October; Google confirmed none of it. The last core update ran from 21 May to 2 June.

How often does Google show an AI Overview now?

It depends on the panel. Semrush counted AI Overviews on 88% of 400 commercial keywords in August 2026 (97.08% weighted by volume); SE Ranking on 82.5% of 1,000 US brand keywords and 40.4% of German ones in October; seoClarity on over 62% of tracked queries.

Can I trust rank-tracker data from October 2026?

With care. Nozzle found 8.0% of 17.8 million Google results pages it collected between 13 September and 9 October altered, peaking at 27.0% on 29 September and running at 4.2–11.4% a day in early October; its update of 21 October puts page 1 at 8.7% since 13 September and pages 1–2 at 22.6%, with 35.7% on 21 October. Google has not commented. Check moves against Search Console before acting.

Did Google say AI Mode earns less than normal search?

Yes. On the 28 October earnings call Philipp Schindler said the strong growth in AI Mode queries had an impact because of the lower monetization. Search revenue grew 12% in Q3 against 17% in Q2; Google named exchange rates as the largest single cause.

What did Google change about shared and user-generated pages?

On 26 October 2026 its spam guidance began covering tools that let users publish shared pages, generated content or web apps. Google says such pages should be noindexed or blocked by default, and platforms should verify in Search Console and watch the Page Indexing report.

Sources

Every claim above is dated and linked. Where a number comes from a measurement rather than an announcement, whoever measured it is named.

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