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Google is making changes to how websites appear in AI-powered search, new research is putting ChatGPT referral traffic into perspective, and AI advertising platforms are expanding their capabilities.
This week’s updates also include changes to Google’s shopping experience, and research into how websites can manage content and search visibility.
Here’s what happened, why it matters, and what businesses and marketers should take away from the latest developments.
AI Search & GEO
Google Makes Website Links More Prominent in AI Search
Sources: Google, Search Engine Land
Google announced changes to AI Mode and AI Overviews that should make it easier for users to visit the websites behind AI-generated answers.
The updates include more prominent links, additional context about recommended sources, expanded article carousels for timely searches, and tests highlighting official websites for certain tasks. These changes respond to a concern among website owners: AI search can use information from a website without sending visitors to it.
Why it matters
More prominent links may increase visits to original sources, but Google hasn’t established that they will produce more referral traffic. Businesses should continue publishing accurate content that answers customer questions and measure whether that visibility leads to website visits or inquiries.
ChatGPT Sends Less Than 1% as Much Referral Traffic as Google Search
Sources: Search Engine Land, Marie Haynes
New research from SEO consultant Marie Haynes examined more than 145 million sessions across 100 websites over 12 months. ChatGPT generated traffic equivalent to 0.62% of Google organic search sessions, while all analyzed AI platforms combined reached 0.73%.
ChatGPT visitors converted at a higher rate (13.8%) than Google organic visitors (3.02%) among the sites tracking conversions. However, Google organic search still generated 27 times as many conversions as all AI referral sources combined.
Why it matters
AI referrals may bring interested visitors, but they remain a small traffic source compared with Google Search in this study. Businesses should monitor them without shifting their broader SEO strategy away from search visibility, accurate content, and conversion tracking.
Google Clarifies Controls for Search and AI Visibility
Source: Google Search Central
Google updated its documentation on how website owners can control the appearance of content in search results and AI-powered experiences.
The guidance covers existing controls such as robots meta tags, X-Robots-Tag directives, and data-nosnippet attributes. These tools serve different purposes: some affect indexing, while others restrict how specific content appears in search results.
Why it matters
A business may want its pages discoverable in search without allowing every part of the content to appear in snippets or generated summaries. These settings can help, but restricting display may also reduce visibility, so they shouldn’t be changed without understanding the tradeoff.
AI Tools & Advertising
ChatGPT Ads Adds New Measurement Tools and Visual Formats
Source: Search Engine Land
OpenAI announced updates to ChatGPT advertising, including expanded measurement partnerships, redesigned conversion reporting, weekly performance summaries, and tests of larger visual ad formats.
The changes give advertisers more information about conversion activity and campaign performance.
Why it matters
Businesses testing ChatGPT Ads should judge campaigns by tracked conversions and lead quality, not impressions or clicks alone. Better reporting can support evaluation, but it doesn’t make the channel suitable for every budget or audience.
Google Tests Personalized Advertising in AI Mode
Source: Search Engine Land
Google is testing personalized advertisements in AI Mode for users who have enabled Personal Intelligence and connected supported applications.
The test explores whether information from connected Google services can help make ads more relevant to a user’s circumstances and interests.
Why it matters
Google is increasing the personal data it uses to serve ads. AI-powered search may eventually give advertisers more context about someone based on information from connected apps, but this remains a limited test.
Ecommerce & Content Marketing
Google Begins Rolling Out Universal Cart Across Search and Gemini
Source: Search Engine Land
Google is rolling out Universal Cart in the United States, allowing shoppers to save products from multiple retailers in one shared shopping experience.
Users can add products through Google Search and Gemini, receive price alerts, identify promotions, and complete eligible purchases through supported checkout experiences.
Why it matters
Google is becoming more involved in the shopping process, so online retailers should keep product feeds, pricing, inventory, and promotional information accurate. Google continues to add features and refine shopping experiences in its results, providing more channels for visibility and conversion.
Google Merchant Center’s Conversational Attributes Support AI Shopping
Source: Search Engine Land
A new industry guide examines six conversational attributes available through Google Merchant Center. These attributes give merchants additional ways to describe products for conversational shopping experiences when using AI.
The information can include product questions and answers, documentation, relationships between products, and details about available variations.
Why it matters
Product feeds have traditionally focused on titles, descriptions, prices, availability, and identifiers. AI shopping depends on whether product information answers the questions customers are likely to ask, so managing these attributes could increase product exposure.
Ahrefs Explores Automating Content Updates With AI
Source: Ahrefs Blog
Ahrefs describes a workflow using Ahrefs’ Letaido platform that automates several detailed parts of content maintenance. The process retrieves updated information, refreshes tables and visualizations, prepares WordPress drafts, and keeps human approval in place before publication.
Why it matters
This workflow details how the author made a highly automated content update process connecting AI tools, SEO research, and content platforms. Good for replication or inspiration.
SEO Research & Industry Trends
Search Accounts for 12% of North American Publisher Pageviews
Source: Search Engine Journal
New research using Chartbeat data found that search accounted for approximately 12% of pageviews among North American publishers during the measured period.
The findings reflect a broader mix of traffic sources, including direct visits, referrals, social platforms, and search.
Why it matters
Search remains important, but a percentage of total pageviews doesn’t show whether the absolute number of search visits is rising or falling. Businesses should track organic traffic alongside other sources instead of treating one channel as a permanent guarantee.
Content Pruning Case Study Examines Removing Low-Value Pages
Source: Search Engine Land
A new case study examined a website that removed about one-third of its pages. Those pages had generated only about 3% of the site’s clicks before removal. After pruning, search traffic improved: clicks up 37%, sessions up 55%, top 10 rankings up 3%.
Content pruning involved improving, combining, redirecting, or removing pages that were outdated, repetitive, or no longer useful.
Why it matters
Removing unneeded content can improve traffic for more valuable pages.
However, low traffic alone isn’t enough reason to delete a page. Review its relevance, conversions, internal links, and value to customers before making changes. Keep in mind that removing content isn’t an SEO shortcut, and one case study doesn’t show that large-scale deletion will improve every website.
New Analysis Examines Google’s Discover Freshness Systems
Source: Search Engine Journal
A new technical analysis examines how Google Discover evaluates fresh content, including a system referred to as “Supersession-Decay Filtering” (SDF). This details consideration methods for content, such as removing “fundamentally stale content before it enters the computation-heavy ranking stage, providing a refined candidate set”.
Why it matters
This analysis demonstrates that fresh information is a key factor in the page consideration process, and it plays a role even before ranking considerations. Another reason to ensure your content is updated and accurate if you want to perform well in search results.
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