Nội dung
- AI prompt tracking cannot be measured the old way
- Bing adds Citation Share to the AI Performance Dashboard
- Google studies how to detect AI-generated spam
- Google, Bing, and the debate over the future of search measurement
- AI Mode is attracting a completely different kind of user
- Search volatility, AI reporting, and UK regulation all surfaced in one week
- Bing is testing a new interface for the news section
- What Google says about chunking, site signals, paywalls, and AI clicks
- Implications for the Vietnamese market
- References
The search market is changing faster than many SEO teams can update their measurement workflows. The latest news from Google, Bing, and industry experts shows that marketers now need to optimize beyond traditional rankings, read AI data, identify AI-generated spam, and design websites for users coming from AI Search.
Below are the 8 most notable developments, along with practical insights for businesses and marketers in Vietnam.
AI prompt tracking cannot be measured the old way
Search Engine Journal argues that the way AI prompts are tracked today needs to change, rather than treating them as just a set of queries to label and report on. The issue is that AI users tend to ask in longer contexts, refine their questions multiple times, and follow a more complex discovery journey than in traditional search.
The key point is that if AI prompts are measured the same way as ordinary keywords, SEO teams can easily miss the user’s true intent. What needs to be tracked is not only which prompts appear, but also the sequence of questions, how often topics repeat, and the shift from discovery to action.
Source: Search Engine Journal
Bing adds Citation Share to the AI Performance Dashboard
Microsoft has added four new features to Bing Webmaster Tools under AI Performance: Citation Share, Intents, Topics, and Compare. Among them, Citation Share is the most notable because it shows the share of AI citations your website holds compared with competitors within the same underlying query.
For marketers, this signals that competition in AI search is moving into a relative measurement phase, not just whether a brand is mentioned or not. Although the data is currently only available in Bing and still in preview, it opens a new way to view content performance in an AI-answer ecosystem.
Source: Search Engine Journal
Google studies how to detect AI-generated spam
Google has just published research on a new system designed to detect organized spam campaigns created with generative AI. Although the study focuses on video, the method described also suggests possible applications for text content and other forms of spam.
The key point is that the system does not just inspect individual pieces of content, but looks for repeated attack structures, similar narrative patterns, and signs of coordination at the cluster level. This shows that Google is shifting its focus from detecting isolated content to detecting organized spam networks.
Source: Search Engine Journal
Google, Bing, and the debate over the future of search measurement
The community roundup from the search industry shows that the sector is being affected from multiple directions at once: ranking volatility, Bing’s AI report updates, changes in Google Search Console, and discussions around quality content, paywalls, and sitewide signals.
This reflects the reality that SEO is no longer a game driven by a single algorithm. Marketers need to follow forums, industry events, and product updates to spot early changes that could affect traffic, conversions, and how content appears in new search experiences.
Source: Search Engine Roundtable
AI Mode is attracting a completely different kind of user
According to analysis on Search Engine Journal, users coming from AI Mode are no longer in the “looking for an initial answer” stage. They often have already read, compared, and narrowed down their options within the AI environment before clicking through to a website.
In that context, a website not only needs to be appealing, but also needs to support very fast decision-making: clear information, easy-to-scan structure, strong evidence, and low-friction conversion paths. In other words, traffic from AI Mode may be lower at the top of the funnel, but the expected quality is higher.
Source: Search Engine Journal
Search volatility, AI reporting, and UK regulation all surfaced in one week
Search Engine Roundtable’s video recap shows that the search ecosystem was quite active last week: Google continued to experience ranking volatility, Bing upgraded its AI Performance reporting, and UK regulators asked Google to share its ranking algorithm and improve data portability for certain third parties.
For SEO professionals, this is a reminder that search is not only driven by technology, but also shaped by policy and platform transparency. Changes like these can affect how businesses allocate budgets across content, media, and technical optimization.
Source: Search Engine Roundtable
Bing is testing a new interface for the news section
Bing is testing a new design for the news section in search results. Although interface changes are often seen as minor details, in practice they can affect how users scan information, recognize sources, and decide whether to click.
For news websites and publishers, any layout change can shift CTR, time to engagement, and the visibility of content. So beyond optimizing headlines and descriptions, it is important to observe how the platform presents content, not just where it ranks.
Source: Search Engine Roundtable
What Google says about chunking, site signals, paywalls, and AI clicks
At Search Central Live in Milan, Google discussed many topics that SEO professionals care about: content chunking, sitewide signals, commodity content versus content with distinct value, paywalls, subscriptions, and even AI clicks.
The notable point is that Google continues to emphasize content organization and the overall signals of a website rather than evaluating each page in isolation. For websites with paywalls or subscription models, the challenge is increasingly about creating value that is clear enough for both Google and users to recognize what is trustworthy and worth clicking.
Source: Search Engine Roundtable
Implications for the Vietnamese market
For Vietnamese marketers, these 8 updates show that SEO is entering a phase of “optimizing for the answer ecosystem,” not just optimizing to climb rankings. Three priorities should be addressed immediately: standardizing how content visibility in AI search is measured, reviewing website structure to serve users who have already partially made a decision, and strengthening original content quality to avoid blending into AI-generated spam.
From an execution standpoint, businesses should coordinate closely across SEO, content, analytics, and product/UX. If you only optimize for keywords and ignore the post-click experience, it will be difficult for a website to maintain performance as traffic from AI Mode and other search experiences with direct citations continues to grow.
In the short term, keep an eye on both Google and Bing, as the two platforms are testing different metrics for AI visibility. Those who adapt early will have an advantage in understanding data, adjusting content, and protecting search performance in a rapidly changing environment.
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References
- We Need To Change Our Approach To AI Prompt Tracking
- AI Citation Share Ships, New Data Doubts LLMS.txt – SEO Pulse
- Google Research Shows How AI Spam Can Be Detected
- Daily Search Forum Recap: June 19, 2026
- AI Mode Sends A Different Visitor. Your Website Wasn’t Built For Them
- Video: Google Volatility, Bing AI Reporting Updates, UK Orders Google To Hand Over Its Search Ranking Algorithm & More
- Bing Tests Updated News Design In Search
- Google Speaks On Chunking, Site Signals, Content, Paywalls & AI Clicks
