Monday, September 28, 2026
10 stories · 4 topics · 8 outlets
Research & Data
1Answer Engines
6ChatGPT citation share falls sharply for YouTube, Facebook, Wikipedia and Forbes
Peec AI researcher David Konitzny posted data on LinkedIn showing YouTube lost 91% of its share of ChatGPT citations between August and 25 September 2026, with facebook.com down 88%, wikipedia.org down 78% and forbes.com down 72%. He says the drop is not simple dilution, because cited volume also fell in absolute terms, and that ChatGPT can still retrieve a domain without citing it. Marketers should track retrieved sources separately from cited sources, since a domain can lose citation share while still feeding answers.
The Text-Only Version Of Your Website Strips Out The Wrong Layer
The column argues that stripping a site down to markdown for machines removes the layer that tells a machine how the page is built, so it can only read about the content instead of using it. It says the visual layer can go while the structure should stay. Marketers serving text or markdown versions of their pages to crawlers and agents should check that headings, lists and other structure survive the conversion.
The Best AI Mode Tracking Tools in 2026
Rankshift compares tools for tracking brand visibility in Google's AI Mode, which it describes as a conversational tab that splits a question into sub-queries and pulls from a wider set of sources than AI Overviews. The post argues that AI Overviews tracking alone will not cover that surface. Marketers measuring AI visibility should check whether their tooling tracks AI Mode separately from AI Overviews.
Field report: what generative AI concretely changes for SEO and SEA in 2025-2026
The article describes a shift from a search model based on blue links to one driven by answer engines, and says that shift has already redistributed traffic and changed SEO and SEA practice. It is a field report covering 2025 and 2026. Marketers should treat answer engine visibility as an operational part of search work, not a future scenario.
How to Optimize for AI Search: A Guide for You and Your AI Agent
Ahrefs published a guide to optimizing for AI search that says the work is mostly the same as SEO: content still has to be crawlable, indexable and useful, and Google says its AI search features rely on its core search systems. The post cites Microsoft making a similar point. Marketers should extend existing technical and content work into AI search rather than build a separate program for it.
What is agentic SEO? 8 workflows run on a live site
Semrush published eight SEO workflows that hand defined tasks to an AI which pulls its own data, including a free Claude setup the company says it ran on a live site. The post is a how-to built on Semrush's own process, not a product launch. Marketers with repetitive keyword, competitor or reporting work can copy the setup, but should test the prompts on their own data before trusting the output.
Vendor Launches
1Search & Platforms
2Google's SAFE AI spam detector targets YouTube channels, not websites
Abondance read the three-page SAFE paper, presented at IEEE TPS 2026 and signed by seven Google authors, and reports that its diagrams use YouTube channel data and that the text never mentions websites, search ranking or the August and September 2026 spam updates. The paper describes four AI agents that investigate coordinated networks publishing mass AI-generated content, and it mentions 'initial deployment results' without publishing figures. Marketers should not treat the paper as proof of a site-level AI-content filter: nothing in it says SAFE affects how web pages rank.
Watch out for these 7 new Google rules
The article says organic traffic has been falling for months without a change in strategy, and it frames a set of new Google rules as a redistribution of search. It is written for businesses that depend on search traffic. Marketers should audit how much of their organic traffic depends on Google and test how their pages perform in AI-driven results.