AI is dominating recent news, and this trend is not expected to change.
The Generative AI Report Sucks – Let’s Make It Brilliant
https://www.searchenginejournal.com/the-generative-ai-report-sucks-lets-make-it-brilliant/590679
Google’s new Generative AI report in Search Console gives digital marketers more visibility into where their content appears in AI search, but on its own the data is fairly limited.
The article suggests making it more useful by combining AI impression data with GA4, commercial metrics such as revenue or conversions, organic search dependency and, where available, server log data showing AI crawler activity.
This can help marketers understand which parts of a site have the greatest commercial exposure to AI, rather than simply measuring AI visibility.
The article also recommends looking at resilience through branded search, direct and returning audiences, and how difficult the content is for AI to replicate.
The main takeaway is that AI visibility should not be treated as a standalone SEO metric. It becomes much more meaningful when connected to business value, audience behaviour and the potential risk or opportunity AI creates for different areas of a website.
Google Spam Update, Image Search Data In GSC – SEO Pulse
https://www.searchenginejournal.com/seo-pulse-google-spam-update-image-search-data/590882
This week’s SEO updates highlight a few important changes for digital marketers. Google has started rolling out its September 2026 spam update globally, with a longer rollout period of up to two weeks, so any sudden ranking or traffic changes should be monitored carefully before drawing conclusions.
Search Console is also adding multimodal search reporting, giving marketers more insight into traffic coming from Google Lens, Circle to Search and other image-based searches, although keyword data will not be available.
The importance of monitoring technical errors that could cause pages to disappear from Google, alongside new research showing continued declines in Google traffic for publishers and fewer website clicks when people use AI Mode. The main takeaway is that search is becoming more fragmented, so marketers need to rely more heavily on their own Search Console, analytics and technical monitoring data to understand what is actually happening to their sites.
Google Has Deployed A New AI Spam Detector Called SAFE
https://www.searchenginejournal.com/google-has-deployed-a-new-ai-spam-detector-called-safe/590918
Google has revealed a new system called SAFE, designed to tackle the growing problem of mass produced AI spam and synthetic content. Rather than simply trying to work out whether a piece of content was written by AI, SAFE uses several specialised AI agents to analyse the content, publishing behaviour, infrastructure and connections between groups of content producers. It can also look for material that technically avoids specific spam rules but still goes against the intent of Google’s policies. Google says the system has already been deployed, although it has not confirmed whether it is being used as part of the September 2026 spam update. For digital marketers, the important point is to be aware of low-quality AI content produced at scale, particularly where Google can identify typical patterns.
Search Console Uses Block Flattening For AIOs, Forget Position & Focus On Outcomes
https://www.searchenginejournal.com/search-console-uses-block-flattening-for-aios-forget-position-focus-on-outcomes/589582/
Google Search Console’s position data is becoming less useful for understanding visibility in AI Overviews. Google uses something called block flattening, which essentially treats the entire AI Overview as a single search result. This means a link buried deep inside an AI Overview can be reported as position one, just like a prominent link at the top, even though users are far less likely to see or click it.
Impression data can also be misleading because some links are counted even when users never actually see them. For digital marketers, the article argues that we need to move away from obsessing over average position and treat AI visibility more simply as whether a brand is being cited or not.
The real focus should then be on meaningful outcomes such as website visits, enquiries and conversions, rather than relying too heavily on ranking and impression data that no longer reflects how people actually experience search.
7 AI search myths, debunked: What the data says about SEO
https://searchengineland.com/seo-ai-search-myths-debunked-data-491605
New research from Ahrefs, based on 15 million data points, challenges some of the common assumptions around AI search optimisation. The findings suggest there is no single trick for getting mentioned or cited by AI platforms, and tactics such as adding llms.txt files, relying heavily on schema or simply producing more content do not automatically improve visibility.
Traditional SEO still matters, with strong organic rankings and authoritative backlinks often correlating with AI visibility, but brand mentions and coverage on trusted third party websites are becoming increasingly important too.
Different AI platforms also use information in different ways, so optimising for ChatGPT, Google AI Overviews and other systems should not be treated as one identical process.
Avoid chasing new AI SEO hacks and instead focus on solid SEO foundations, useful content, authority and building a strong brand presence across the wider web.
Google AI Mode cuts clicks and user satisfaction: Study
https://searchengineland.com/google-ai-mode-cuts-clicks-satisfaction-study-490494
A new experiment involving 1,100 Google users suggests that AI Mode could have a significant impact on organic traffic without necessarily creating a better search experience. When users were pushed into AI Mode, external website visits fell by 18.8 percentage points, while clicks to news sites, Reddit and Wikipedia also dropped. Interestingly, users reported lower levels of satisfaction, usefulness, control and trust, and were more likely to try alternative search engines such as Bing and DuckDuckGo.
The study does have limitations, including its relatively short seven day test period and the fact that users were effectively forced to use AI Mode rather than choosing it naturally. For digital marketers, the key takeaway is that wider adoption of AI Mode could mean fewer organic clicks, making visibility, brand recognition and conversions increasingly important measures of SEO success rather than traffic alone.
Generative engine optimization (GEO): How to win AI mentions
https://searchengineland.com/what-is-generative-engine-optimization-geo-444418
Generative Engine Optimisation, or GEO, is about making your brand and content more likely to be mentioned, cited or recommended in AI-generated answers from platforms such as Google AI Overviews, ChatGPT and Perplexity. This informative article makes the point that GEO does not replace traditional SEO, but builds on the same foundations, including technically accessible websites, authoritative content, trust and a clear understanding of user intent. What changes is the focus.
Content needs to be easy for AI systems to understand and extract, with clear headings, self contained answers, useful facts and consistent information about your brand across your website and other trusted platforms.
Success also moves beyond rankings and clicks towards AI citations, brand mentions, share of voice and sentiment. The main takeaway for digital marketers is that there is no guaranteed number one position in AI search. GEO is about increasing the chances that AI systems understand, trust and reuse your content, while strong SEO remains the foundation that makes this possible.
What 9 million AI answers reveal about search visibility
https://searchengineland.com/9-million-ai-answers-search-visibility-492283
Research analysing around 9 million AI answers gives digital marketers a clearer picture of what drives visibility across platforms such as ChatGPT, Google AI Overviews, Gemini and Perplexity.
One of the biggest findings is that third-party sources account for the majority of AI citations, so what other websites say about your brand can be just as important as your own content.
However, when a brand’s own website is cited, the research found a particularly strong uplift in brand visibility. Freshness and originality also matter, with newer content and unique insights performing strongly, while visibility can vary significantly between AI platforms.
The main takeaway is that AI search visibility needs a broader strategy than simply optimising your website. Brands need strong original content of their own, regular updates and an authoritative presence across trusted third-party websites and platforms where AI systems are finding their information.
Your 2027 guide to SEO reporting and tracking
https://searchengineland.com/seo-reporting-tracking-guide-390175
SEO reporting needs to move beyond rankings, clicks and traffic and show how organic search contributes to actual business results. The guide recommends combining data from Search Console, GA4 and SEO platforms to track conversions, revenue, keyword performance, technical health and important site changes, while separating branded and non-branded search to give the numbers more context.
The article also highlights the growing importance of tracking AI Overviews and other AI search visibility as search behaviour changes. Reports should be tailored to their audience, with technical teams receiving detailed diagnostic data while senior stakeholders get a clearer view of commercial impact and ROI.
For digital marketers is a good SEO report should tell a clear story about what happened, why it happened and what should happen next, rather than simply presenting lots of SEO metrics.
Google AI Overviews jump from 26% to 80% of branded queries
https://searchengineland.com/google-ai-overviews-jump-branded-queries-september-492962
Google AI Overviews appears far more often for branded searches, with DemandSphere data showing their presence jumping from around 26 per cent at the start of September, to more than 80 per cent.
Separate testing of 100 enterprise brands found AI Overviews appearing for 93 of them, suggesting this is becoming a much bigger part of the branded search experience.
Google has not announced a specific change behind the increase, and we do not yet know how much it is affecting click-through rates.
AI visibility now matters for branded searches as well as informational queries, making it important to monitor which brand searches trigger AI Overviews, plus what Google says about the brand and, which sources it uses to generate those answers.
What else is worth reading…
10 ways Claude can derail your SEO if you don’t check its work
https://searchengineland.com/claude-derail-seo-491298
Your AI content watermark isn’t what Google is looking for
https://searchengineland.com/your-ai-content-watermark-isnt-what-google-is-looking-for-491275
The trust crisis: SEO desperately needs accreditation
https://searchengineland.com/seo-trust-crisis-accreditation-491246
Google Maps Now Requires Sign In To Read All Reviews & More
https://www.seroundtable.com/google-maps-account-reviews-42186.html
Google rolls out new Gemini AI model but restricts access over safety concerns
https://www.theguardian.com/technology/2026/oct/01/google-releases-gemini-model-restrictions