SEO & Digital Marketing News Round-Up Late September to Early October 2026

If you read our Mid-September 2026 round-up, you’ll remember we closed by saying the back half of the month was going to be noisy. It was noisier than expected. Google launched its fourth spam update of the year, AI Overviews quietly swallowed another chunk of click-through traffic, ChatGPT lost its 50% market-share crown for the first time since launch, and the EU and UK both moved on search data in ways that could reshape AI search competition inside twelve months.

Here’s what actually happened between 21 September and 5 October 2026, what it means, and what to do this week.


1. The headline event: Google September 2026 Spam Update

Google began rolling out the September 2026 Spam Update at 09:15 PDT on 24 September. It’s the fourth spam update of the year (after March, June and August) and is being rolled out globally, in every language.

Two things make this one different:

  • The two-week window. Every other 2026 spam update was estimated at “a few days” and none finished slower than 2 days and 16 hours. This one was given up to two weeks from the start – and as of 2 October, Google’s Search Status Dashboard still shows it as active.
  • It arrived in phases. The first wave of volatility hit between 25–27 September. A second, equally large wave was reported on 30 September and 1 October by Barry Schwartz, Glenn Gabe and other trackers. If your rankings moved on either of those dates, it was almost certainly this update.

How this update compares to the rest of 2026

Spam Update Start date Rollout duration
March 2026 24 March 19 hours 30 minutes
June 2026 24 June 2 days 1 hour
August 2026 18 August 2 days 16 hours
September 2026 24 September Ongoing (expected ~8 October)

What to do: Don’t finalise an impact analysis until Google confirms the rollout is complete. Pull your Search Console data from 24 September onwards, filter by page type and query cluster, and keep a note of any site changes (deployments, redirects, content pushes) you shipped in that window so you don’t blame or credit the wrong thing.


2. AI search is now genuinely eating Google – and ChatGPT

Three numbers landed in the last fortnight that I’d pin to the wall if I were running an in-house SEO team:

  • Google AI Overviews now appear on 80% of branded queries, up from 26% earlier in the year.
  • Google AI Mode has crossed 1 billion monthly users, per Google’s own figure reported on 29 September – a number that rivals ChatGPT’s estimated 1 billion MAUs from May.
  • ChatGPT’s share of the generative AI chatbot market slipped below 50% for the first time in September, finishing the month at 52.1%, with Gemini climbing to 26.9%.

ChatGPT market share through 2026

Monthly share of the generative AI chatbot market. ChatGPT held above 65% through Q1, lost ground to Gemini all summer, and dipped below 50% for the first time in July before stabilising.

Jan 26
67.1%

Feb 26
65.7%

Mar 26
62.6%

Apr 26
61.8%

May 26
59.1%

Jun 26
58.6%

Jul 26
51.3%

Aug 26
51.5%

Sep 26
52.1%

Source: First Page Sage / Sensor Tower, October 2026 report.

Where that lost market share went

AI assistant Market share (Sep 2026) Quarterly user growth
ChatGPT 52.1% +5%
Google Gemini 26.9% +10% (approx.)
Microsoft Copilot 1.32% Highest reading of 2026
Perplexity 1.9% Down from 5.3% in Jan
Claude (not listed in top table) +15% (fastest growing)

The pattern is clear: ChatGPT is still the market leader by a comfortable margin, but the “AI = ChatGPT” era is over. Any AI-visibility tracking programme that only measures ChatGPT is now missing roughly half of the signal.

The one that gave me the biggest pause this fortnight was a separate report that Reddit citations in ChatGPT Search dropped 86% in four days. If you have a strategy that leans on Reddit as a source of AI visibility, go and re-check it – the mix of citation sources is less stable than any of us assumed.


3. Google Search Console: three real changes in two weeks

Search Console had more product news in September than it had in most of H1. Three things worth knowing:

a) Generative AI performance report now worldwide

Google’s Generative AI report in Search Console – showing impressions and clicks from AI Overviews and AI Mode – rolled out globally. If you don’t see it yet, it should appear in the next few days. It’s not perfect (more on that below), but it’s the first time most of us have had any first-party AI-visibility data at all.

b) New multimodal filter for image-based searches

A new filter – sitting under the Web search type – now splits out performance for searches where someone used an image (think Google Lens, Circle to Search). The global rollout began on 24 September and applies to both the standard Search results and the Generative AI reports.

c) Google is fixing a long-running impressions bug

Google has confirmed a logging error that inflated impression counts since 13 May 2025. The fix is now rolling out. Clicks are unaffected. If your impressions suddenly drop in the next few weeks, don’t panic – it’s probably Google’s numbers quietly correcting themselves, not a traffic loss.

A caveat on the AI reporting

An important caveat on this new data: Search Console treats an entire AI Overview as a single block and assigns the same ranking position to every link inside it, regardless of where the link actually appears in the answer. John Mueller acknowledged on Reddit on 16 September that AI Mode and AI Overviews position/impression tracking will “evolve over time” and that there are “edge cases”. Translation: these numbers are directionally useful, not literally correct – don’t build your Q4 reporting around a position-based metric for anything AI yet.


4. The AI Overviews / AI Mode drift continues

The product story keeps moving in one direction: AI Overviews behaving more like AI Mode, and both of them keeping users inside Google rather than sending them to publishers.

  • In-text links in AI Overviews now sometimes open AI Mode queries, not the external publisher. Peec AI’s chart showed the share of AI Overviews containing an external in-text link climbing from near zero on 10 September to 26.2% by 20 September. Some of those links go to the web – others pre-fill a new AI Mode conversation and keep the user inside Google.
  • AI Mode’s click-out rate is now around 4.5%, versus roughly 24% for traditional search, per analysis published this fortnight.
  • Gemini 3.8 Flash launched inside AI Mode, briefly without citations (now fixed), followed by Gemini 3.8 Live.
  • Google began testing “practice quizzes” in AI Mode on 2 October – a prompt that carries content from a search result into a pre-filled quiz. Another reason for the user to stay in AI Mode rather than click out.
  • Google is testing “Sponsored” text link ads inside AI Mode (spotted 15 September), so the commercial model for AI Mode is quietly being built in public.

Growth of external in-text links in AI Overviews

Daily share of AI Overviews containing an in-text external link, 25 August – 20 September 2026. Source: Peec AI.

25 Aug
~0%

5 Sep
~1%

10 Sep
~3%

15 Sep
~14%

20 Sep
26.2%

Values between 25 Aug and 15 Sep are illustrative based on Peec AI’s reported curve shape – Peec confirmed the near-zero baseline and the 26.2% peak on 20 September.

A separate randomised field study published this fortnight found Google’s AI search features reduced external click referrals and that users forced into AI Mode were more likely to try Bing, DuckDuckGo or Yahoo. Removing AI Overviews increased external clicks without a measurable decline in user satisfaction. That’s a difficult data point for Google to carry around.


5. Regulators actually moved

Two regulatory stories that matter more than they look:

  • The EU has ordered Google to share search data with rival search engines – and explicitly with AI-powered search tools and chatbots. This is the first time European competition law has treated conversational AI as a search engine for the purposes of data access. Expect challengers (Perplexity, You.com, Mistral-based tools and others) to put in requests before year-end.
  • The UK CMA’s consultation on search choice screens closes on 9 October. The proposals would show Android and Chrome users a choice screen at setup and annually, and AI assistants such as ChatGPT and Perplexity would be eligible for listing. The CMA also wants to cover fair attribution of publisher content. A final decision is expected by the end of 2026.

On the publisher side, Google launched its AI Contribution pilot in Search Console – paying selected publishers when Google judges their content to have “significantly contributed” to an AI response. The payouts are reportedly small. The precedent is not.


6. Quick hits: everything else worth knowing

Date Story Why it matters
22 Sep Google AI Mode vs AI Overviews explainer wave Industry is finally treating them as two different surfaces to optimise for.
23 Sep UK CMA publishes search choice screen proposals AI assistants eligible for the choice screen. Consultation closes 9 October.
24 Sep September 2026 Spam Update begins Fourth of the year. Still rolling as of 2 October.
24 Sep GSC multimodal (image search) filter rolls out First real visibility into Lens / Circle to Search performance.
25–27 Sep Wave one of spam update volatility High volatility reported across all major tracker tools.
28 Sep “7 AI search myths debunked” data piece Worth the read if you’re arguing internally about AI search strategy.
29 Sep TIME: Google quietly made 1bn+ people AI users AI Mode now at ChatGPT scale, largely by UI nudges.
30 Sep Yext acquires Flamel.ai Local paid campaigns across Google, Meta and ChatGPT – multi-location brands take note.
30 Sep – 1 Oct Wave two of spam update volatility Second ranking jolt, confirmed by Schwartz & Gabe.
1 Oct Contentstack launches Canoe (AI visibility tool, free tier) The “GEO stack” is now crowded enough that free tiers are the entry point.
2 Oct Google tests practice quizzes in AI Mode Another on-SERP retention mechanic.
5 Oct DoubleVerify launches attribution for ChatGPT ads ChatGPT ads are becoming measurable – expect budgets to follow.

7. What to do this week

A short, honest to-do list for the next seven days:

  1. Date-stamp the spam update impact. In Search Console, filter by 24 Sep onwards, compare pages and queries, and resist the urge to decide anything until Google marks the rollout complete (expected around 8 October).
  2. Note the GSC impressions correction. Expect a drop in impressions over the next few weeks that has nothing to do with your rankings. Tell your stakeholders now.
  3. Build a fixed AI-visibility prompt set. 20–30 queries, run across ChatGPT, Gemini, Claude and Perplexity. Not just ChatGPT. The Reddit-citation collapse is a reminder of how fast the citation mix shifts.
  4. Audit your in-SERP presence, not just your rankings. With AI Overviews now covering 80% of branded queries and in-text links sometimes keeping users inside AI Mode, “position 1” is doing less work than it did in Q1.
  5. If you’re in the UK, respond to the CMA consultation before 9 October. If you publish anything, the attribution rules matter directly to you.

The one-sentence summary of the fortnight: Google’s organic ranking surface got noisier, Google’s AI surface got bigger, and the measurement layer around both is still catching up.

We’ll be back with the next round-up in two weeks. If there’s a specific story from the last fortnight you’d like us to go deeper on – the spam update, AI Contribution payouts, the CMA proposals, or the Reddit-citation shift – leave a comment below.


Sources: Google Search Status Dashboard; Search Engine Roundtable (Barry Schwartz, 24 Sep & 1 Oct 2026); Search Engine Land; Search Engine Journal; TIME (29 Sep 2026); First Page Sage / Sensor Tower (Oct 2026); Ignite Visibility weekly round-up (2 Oct 2026); MarketingProfs AI Update (2 Oct 2026); Peec AI chart (via ALMcorp, 30 Sep 2026); MarTech.org (1 Oct 2026); AgileBrandGuide (1–2 Oct 2026).

How to Make Chat GPT Content Sound Less Like it’s Chat GPT content (robotic)

Main Tips –
1. Do a draft yourself – even if it’s terrible – then ask Chat GPT to:
“rewrite this copy, so it flows and reads better, please write to an [advanced high school] level”

or as above, but for an essay –
“rewrite this copy, so it flows and reads better, please write to an [for an academic paper for a degree, and cite studies with URLs to pubmed or Google scholar].”

2. Make your prompts as detailed and specific as possible, so that if for example, you are submitting an essay, it won’t be the same as everyone elses.

3. Check uses an AI copy checker


Add Personal Experiences

If you are writing a blog post, you’ll want to add some personal experience or anecdotes:

  1. Use Reddit for Experiences to add to content:

Make a copy of spreadsheet – https://docs.google.com/spreadsheets/d/1ZJWPXd8mZoK9Us2HI7L1PEaLGeWo60sKACSs3n0B69s/edit#gid=0

Find some relevant reddit threads. Try googling the title of your article, or keywords related to your article plus “reddit”.

Example, for an article about the hardest position to play in NFL, Google:

“Hardest NFL position Reddit”

Copy 2 or 3 relevant Reddit URLs and paste into the Google sheet

Add the title of your article e.g. “hardest position in NFL” and add the reddit threads to the spreadsheet

Add your article URL (or a related article) below the reddit links

In Chat GPT 4 – Add the plug inside- Access Link and Web Pilot

Copy and paste “prompt” from the google sheet into Chat GPt 4 and press enter.

You should now have an article with some relevant anecdotes.

2. Edit copy to sound human

Notes from AimClear

Tell chat gpt to ignore previous commands:

Please ignore all previous instructions and prompts. All output is in English.

Ask for fluid paragraphs:

Please write a LinkedIn post about how being an entrepreneur is like fishing on a lake. Do not divide the output into numbered sections. Instead, compose the output as flowing, fluid paragraphs.

Add comparisons:

Compare fishing to business, point-by-point, including but not limited to the concepts of making one’s own luck, joy, not getting discouraged, using data, weather, the environment, taking chances, experimenting, lessons learned in failure and victory, humility, blending old-school concepts with new fishing and business tech.

Add random grammar rules:

Do not start any sentence with the same two words in a row.

Do not use any three-word phrase more than once.

Do not repeat any word within eight words of the most recent iteration of the same word.

Write in in the tone of an advanced professional showing emotions, a person sharing thoughts and feelings.

Use at least 10 words with four syllables.  The target consumer is someone who likes complex writers and writings.

Limit usage of the following filler words, except when completely needed for correct grammar: The, it, those, them they, these, it’s, an, a, and. Instead of filler words, use synonyms for what the filler word is referring to or no word at all. Another solution to eliminate filler words is to make a singular noun requiring a filler word plural. As an example: If the output would be, “An angler makes.” Avoid the filler word “An” by writing, “Anglers make.”

Do not use the concepts of tranquility or tranquil unless we also refer to opposite conditions, highlighting changing dynamics.

Limit usage of the words I, me, mine and my. Instead, use the words we, us, our, ours.

Add Quotes:

Quote both Henry David Thoreau about fishing and Tony Robbins about luck, once each as relevant to the story.

Instead of referring to failure, failing or fail, use words like challenge, challenges, learnings, sub-optimal outcomes, learnings, motivation.

Strictly do not exceed 2,900 characters, including spaces.


Ask for imperfection:
To avoid detection by AI checking tools, prevent grammatically perfect output by doing the following: Do not use an Oxford comma one time, where the last two ideas in the sentence are related enough to justify not using an Oxford comma.



Notes from aicontentfy


Obfuscating Text
Obfuscating text is a technique used to bypass AI content detectors. It involves altering and manipulating text in a way that makes it difficult for the detector to accurately analyze and interpret the content. One way to obfuscate text is through the use of synonyms, replacing common words with similar but less detectable alternatives. Another method is adding random or irrelevant words to the text, which creates noise and misleads the detector.

Altering Word and Sentence Structure
Altering word and sentence structure is a useful tactic for evading AI content detectors. By employing synonyms, antonyms, or rearranging sentence components, you can subtly modify your writing to appear unique or bypass detection algorithms. For instance, instead of using the term “important,” you could opt for synonyms like “significant” or “crucial.
” Likewise, sentence fragments or splitting a single sentence into two can also alter the structure and make it harder for AI detectors to identify plagiarized content. Practicing these techniques can assist in maintaining originality and avoiding detection by AI algorithms.

Changing Word Forms
1. Vary sentence structures by altering word forms to bypass AI content detectors.
Example: Instead of using the word “essential,” you can swap it with “necessary” or “vital” to maintain clarity and avoid triggering filters.
Example: Instead of relying on the term “pivotal importance,” consider phrases like “significantly influential” or “crucial significance” to evade detection.

2. Modify key phrases without sacrificing meaning.
Example: Instead of stating that something “plays a significant role,” you can rephrase it to “has a noteworthy impact” to circumvent content detection algorithms.

3. Experiment with different synonyms to conceal critical keywords.
Example: Rather than using “paramount importance,” explore alternatives such as “supreme significance” or “unmatched prominence” to avoid arousing AI scrutiny.

4. Strike a balance between practical guidance and theoretical insights when discussing the subject matter.
Example: Combine practical examples without mentioning specific brand names to provide actionable advice that readers can easily implement.