Artificial intelligence is significantly altering search engine optimization, impacting rank tracking, content discovery and referral attribution globally, recent analyses indicated.
These changes include Google’s response to AI scraping affecting search results, issues with tracking ChatGPT referrals and new ways AI-generated content is displayed and recommended across major platforms.
From Sept. 13 to Oct. 9, 8.0 percent of Google results pages tracked by Nozzle were missing most usual sites, a sharp increase from 0.17 percent in the preceding period, according to Ethan Smith of Nozzle.
Smith attributed this anomaly to Google’s efforts to counteract AI scraping, which inadvertently affected how rank trackers gather data.
Concurrently, Google Analytics 4 experienced a significant drop in ChatGPT-attributed sessions after the GPT-6 rollout, due to inline links missing the ‘utm_source=chatgpt.com’ tag.
OpenAI deployed a fix for this referral tracking issue on Oct. 15, according to Cedric Huesler, an Adobe analyst.
Google is also adjusting how it displays links within AI search results, moving inline links higher in both AI Mode and AI Overviews, reported Glenn Gabe, an SEO consultant at GSQi.
The company is also testing the display of creator and publisher names on AI video results, Gabe added.
Microsoft’s Bing Webmaster Tools introduced a ‘Topics Portfolio’ beta feature to its AI Performance report, which groups cited queries into broader topics and identifies opportunity queries.
This new feature aims to provide publishers and marketers with more refined insights into their content’s performance within AI-driven search environments.
Google job listings for its Discover platform describe teams focused on generating and recommending AI-generated content (AIGC).
These teams are working toward creating a “proactive, hyper-personalized concierge experience” for users, indicating a deeper integration of AI into content curation and delivery.
Source: Search Engine Journal
