Verisca daily brief
2026-09-24 Daily Brief
As brand and content visibility changes in AI search and recommendation environments, advertising, citations, video content, and performance measurement tools are being reassessed together.
Brief
As the way brands and content are exposed in the AI search and recommendation environment is changing, the trend of inspecting advertisements, citations, video content, and performance measurement tools together continues.
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01Changes in quotations and advertising exposure in AI responses
Observations were made about how brands are seen within AI responses, including external link rates from Google AI Overviews, YouTube citations from LLMs, and sponsored ad exposure within ChatGPT conversations.
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02Expansion of AI-based production, search, and business tools
Google Ads, Gemini, Google Vids, and YouTube have expanded or announced reporting, app integration, video production, personalized recommendations, and product search features.
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03Presenting AI visibility measurement and content inspection methods
A method was proposed to measure brand mentions and citations in AI responses and to refine the website's supporting information and citable content.
Today’s signals
AI environment changesGoogle Ads & Commerce Blog
Google Ads expands AI Brief language and adds AI Max reporting
Google Ads is expanding the languages supported by AI Brief private beta and introducing AI-based performance reporting that provides a single view of search terms, creative assets, and landing locations.
Advertising operators can check AI Max's operation results by language and see which search terms, materials, and landing locations the advertisement is associated with.
Google Ads expands AI Brief private beta to Dutch, French, German, Italian, Japanese, Portuguese, and Spanish. Additionally, for AI Max, we are introducing an AI-based performance reporting function that checks search terms, exposed creative assets, and website landing locations on one screen. Additional information and availability will be released later this year.
View source ↗AI environment changesGoogle Blog — Products
Provides connectivity to Connected Apps such as Gemini, Airtable, Linear, etc.
Google sequentially provides Connected Apps that connect Gemini to Airtable, Linear, Adobe, Peloton, etc.
Information from work, design, and exercise apps can be leveraged within Gemini conversations, allowing you to see the extent to which the tools your team uses and their AI workflow are connected.
Connected Apps, which connect multiple external apps to Gemini, will be added sequentially. Users can link the app in Gemini settings, @mention the app in chat, or request it directly. This allows you to manage projects, work on designs, plan workouts, and more all in one place, Google explains.
View source ↗AI environment changesGoogle Blog — Products
Google Vids supports free HD AI video creation
Users with a Google or Google Workspace account can create 1080p videos in Google Vids using Gemini Omni 1.1 Flash for free.
Video creators can take advantage of AI video creation features that adjust scene length and transitions at no extra cost.
You can create high-quality AI videos for free with the Gemini Omni 1.1 Flash model on Google Vids. Users can adjust scene length and transitions and create 1080p video. Clips created by AI include a digital watermark, which can be accessed by accessing vids.new on your desktop and selecting ‘Create AI videos.’
View source ↗AI environment changesSearch Engine Roundtable
Google AI Overviews, analysis shows that more than 25% of answers contain external links
Peec AI data shows that the percentage of Google AI Overviews answers that include external links increased from nearly 0% to over 25%.
This can be used as a reference when looking at the proportion of AI answers in search results that lead to external content, but there may be a difference from the actual experience.
Peec AI analyzed in Google AI Overviews that the percentage of answers containing external links increased to more than 25%. Malte Landwehr reported a significant increase in the number of external links within AI Overview answers. However, Search Engine Roundtable added that these numbers may differ from how users feel.
View source ↗AI environment changesSearch Engine Roundtable
Google Ads adds AI Max and DSA comparison experiment guidance
Google Ads has added a help article to guide you through how AI Max compares to Dynamic Search Ads (DSA) as an experimental feature.
Advertising operators can check the options of experimental methods that can be used when comparing AI Max and DSA under the same conditions.
Google Ads has released a new help article testing AI Max versus Dynamic Search Ads. Google Ads Experiments allows you to use custom experiments and experiment templates. The article covers how to use these features to compare the two advertising methods.
View source ↗AI environment changesSearch Engine Journal
Distinguish between ChatGPT advertising, GEO, and AI visibility measurement methods
Search Engine Journal broke down the different visibility between ChatGPT's organic brand recommendations and labeled ads and outlined how GEO is measured.
Rather than considering brand mentions and ad exposure in AI answers as the same indicator, they can be used as a standard for managing website information and repetitive measurements together.
Brand recommendations and labeled ads in ChatGPT's organic responses were organized into different types of visibility. GEO proposed a method of repeatedly looking at brand mentions, accuracy of expression, and frequency of exposure compared to competitors, rather than a single prompt ranking. Go Fish Digital stated that the website must first establish supporting information about products and services before increasing external mentions.
View source ↗AI environment changesDigiday
Increased YouTube citations in LLM search results
Meltwater and Tinuiti data showed that YouTube was cited a lot in various LLM environments, and the proportion of citations in Google AI Mode and AI Overviews also increased.
You can check the citation potential of video content by observing whether tutorial videos and recommended content are increasingly included in AI responses.
Meltwater data shows that in August, YouTube was the most cited platform among Claude, ChatGPT, Copilot, Google AI Mode, Google AI Overviews, Gemini, Perplexity, and Grok. Tinuiti's Q2 2026 AI Citation Trends report analyzed that between January and April 2026, the proportion of YouTube citations in Google AI Mode more than quadrupled, and in AI Overviews more than doubled. YouTube is frequently included in LLM responses, especially for tutorials and featured content.
View source ↗AI environment changesSearch Engine Journal
US PC-based ChatGPT game conversations, 47% including sponsored ads
Comscore reported that 47% of ChatGPT conversations related to video games and consoles tracked in U.S. PC activity in June included sponsored ads.
When viewing ad exposure within ChatGPT conversations, you can see differences by category and the scope of the data examined.
According to Comscore's Q2 2026 AI Intelligence Report, 47% of tracked ChatGPT conversations related to video games and consoles based on U.S. PCs in June included sponsored ads. This is a change from 3% in March. During the same period, toys and hobbies changed from 5% to 24%, and books, music, and videos changed from 9% to 22%. However, this data is the proportion of conversations based on an opt-in panel, and Comscore did not disclose details such as the number of monthly conversations and how they are categorized.
View source ↗AI environment changesMarTech
Reexamining existing e-commerce product page methods in an AI search environment
MarTech pointed out that existing online retailers' catalogs and product pages are built around a six-word search term and a list of blue links.
It can be seen as a starting point for reviewing existing methods of providing product information and catalogs in an AI search environment.
Existing e-commerce catalogs and product pages were created based on the premise of a search environment centered on short search terms and blue link lists. MarTech focused on this traditional page approach amid changes in AI search. No specific improvement measures or performance figures were provided in the summary.
View source ↗AI environment changesTechCrunch AI
YouTube unveils Gemini-based customized recommendation feed
YouTube announced a ‘Custom Feed’ feature where Gemini AI creates a customized video feed based on natural language requests.
A method of organizing recommended feeds according to topics directly requested by users has been added, allowing you to observe changes in the video discovery path.
YouTube has unveiled a custom feed where Gemini AI creates a customized feed when users enter the type of video they want in natural language. The created feed is fixed as a separate tab at the top of the YouTube home screen, and does not replace the existing recommended main feed. The ability to create multiple custom feeds will be introduced sequentially on web and mobile starting next month.
View source ↗AI environment changesSearch Engine Journal
Ask YouTube supports product review comparison and follow-up questions
YouTube announced that it is adding product review search and video recommendation features in the form of comparison tables to its experimental interactive search tool Ask YouTube.
A flow where users looking for products compare video reviews and ask follow-up questions has been added, allowing you to see how shopping-related video content is explored.
When you search for reviews of a specific product on Ask YouTube, you can receive video recommendations in the form of a comparison table containing product attributes and categories. After selecting a video, users can also ask follow-up questions about the product on the watch page. The search version of Ask YouTube is an experimental feature available to some users searching in English in the United States.
View source ↗AI environment changesSearch Engine Roundtable
Google AdSense changes identity verification threshold to $0
Google AdSense lowered the identity verification threshold from $10 to $0.
Sites that serve ads and make AdSense payments can double-check when identity verification is required and submission requirements.
Google AdSense has changed its identity verification threshold from $10 to $0, according to its help documentation. To run ads and receive Google AdSense payments from your account, you'll need to verify your identity. The address verification threshold will still be $10 or local currency, and Google has announced that beginning in June 2026, you may be required to submit a government-issued photo ID and may be asked for a video selfie depending on your location.
View source ↗AI environment changesSearch Engine Roundtable
Bing tests displaying favicons in shopping ad carousel
Microsoft is testing a way to display a favicon before the site name in the Bing Shopping ads and product results carousel.
You can check the way your branding appears by making sure that site identification elements are added within your shopping results.
Bing is testing adding a favicon before the site name in Shopping ads and product results carousels. Previously, only the site name was displayed in the corresponding ad unit. The test was captured through screenshots shared by Sachin Patel with X and SEW.
View source ↗AI environment changesSEMrush Blog
Semrush Introduces AI Visibility Audit Method
SEMrush Blog introduced an AI Visibility Audit method that checks brand mentions and content citations in AI responses, including ChatGPT, Perplexity, and Google AI Overviews.
When checking how your brand is mentioned in AI responses, you can use it as a framework to check for content, external sources, and site access issues.
SEMrush introduced how to set an AI visibility baseline using the AI Visibility Toolkit. We presented a process for identifying citable content, missing topics and prompts, brand sentiment and AI narratives, external influence sources, and site-level AI access issues. Targets include AI-generated answers like ChatGPT, Perplexity, and Google AI Overviews.
View source ↗AI environment changesSearch Engine Journal
Baidu introduces AI CTR based on citation count
Baidu's new AI CTR is calculated by dividing clicks by citations instead of impressions.
You'll notice that when interpreting clicks in AI Search, different calculation criteria may be used than traditional impression-based metrics.
Baidu's new AI CTR is calculated by dividing the number of clicks by the number of citations. This is different from the calculation based on impressions. Search Engine Journal covered what this metric means and what you can see in its AI Traffic Analysis report.
View source ↗How to read this
This archive preserves the selected sources and links. WHAT CHANGED summarizes the observed development. WHY IT MATTERS explains why it deserves monitoring. Each item remains an external signal until independently verified.