Google 'Poisoned' 8% of Rank Tracker Pages, Nozzle Data Shows
Between Sept. 13 and Oct. 9, 8.0% of 17.8 million Google pages Nozzle tracked were 'poisoned,' the company said. Separately, OpenAI confirmed a broken ChatGPT utm_source tag on Oct. 14.

- 8.0% of 17.8 million Google pages Nozzle tracked were 'poisoned' between Sept. 13 and Oct. 9, versus a 0.17% baseline from Aug. 20 to Sept. 9.
- Graphite measured an ~45% drop in ChatGPT-tagged GA4 sessions during an Oct. 8-15 window tied to a missing utm_source tag after GPT-6 rolled out.
- OpenAI confirmed the tagging bug on Oct. 14 and began deploying a fix on Oct. 15; tagged clicks returned to 95-100% of prior-week volume by 9 a.m. PT.
- Microsoft launched a beta Topics Portfolio view in Bing Webmaster Tools, grouping AI citation queries under broader topics with range-based counts.
- Google job postings describe Discover teams whose stated mandate is to recommend AI-generated content for proactive surfaces.
Between Sept. 13 and Oct. 9, 8.0% of the 17.8 million Google result pages Nozzle tracked returned rankings absent of most of a keyword's usual sites. The company calls these pages "poisoned." Google has not commented on the pattern.
The share peaked at roughly one-quarter of pages from Sept. 27 through Sept. 29. The daily rate has run between 5% and 11% since Oct. 1. The baseline ran at 0.17% between Aug. 20 and Sept. 9. For customer sites that should have ranked on affected pages, 58.6% missed the top 10 versus 2.7% at baseline.
Will rank-tracker drops from October actually mean lost traffic?
Verify each flagged keyword against the sites that ranked on page 1 before mid-September. Then cross-check Search Console for matching impression and click drops on the same query and URL. The anomaly, defined as pages missing most of their usual top results, ran roughly 8.0% across the window against a 0.17% baseline in late August, a contrast of almost two orders of magnitude.
Takeaway: A one-day tracker-only dip is more likely instrumentation than ranking damage.
Why did ChatGPT GA4 sessions collapse overnight?
GPT-6 dropped the utm_source=chatgpt.com tag from inline answer links. Untagged visits reclassified into the "Direct" channel. Graphite CEO Ethan Smith wrote on LinkedIn that "there was an approximate 45% drop in ChatGPT sessions" on sites with meaningful AI Assistant Channel traffic.
Adobe's Cedric Huesler said OpenAI confirmed a known bug to him on Oct. 14. A fix began deploying Oct. 15. Tag-bearing clicks returned to 95-100% of the prior week's same-hour volume by 9 a.m. PT on Oct. 15, per Huesler's tracking across thousands of sites. SEO consultant Glenn Gabe pushed back, replying he had not seen the change. OpenAI's release notes updated on Oct. 15 do not reference the bug.
Most ChatGPT clicks arrive without a referrer header, so the only durable way to attribute those visits is the UTM tag itself, not the channel label.
Takeaway: Tag and footnote the Oct. 8-15 window before it ends up in a client report as a real loss.
What changed about link placement inside Google AI answers?
Google moved inline links higher inside AI Overviews and AI Mode responses. Each link now inherits the parent AI Overview's reported position in Search Console, so visual movement does not translate into a higher reported rank in any standard reporting view. Google will test a top-of-response block linking to official pages for specific tasks. Preferred Sources carousels extend to more regions and languages. AI Mode video results are starting to surface creator and publisher names.
A site must already be eligible for generative AI features inside Search Console before a user can designate it as a Preferred Source.
Takeaway: Visible-link movement will not surface in Search Console as a position gain.
What does Bing's new Topics Portfolio actually measure?
Microsoft added a beta "Topics Portfolio" view to the AI Performance report in Bing Webmaster Tools. It groups AI citation queries under broader topics. Each topic entry exposes rough totals for citations across all sites, the number of distinct sites cited, and the number of underlying queries that produced those citations. An "opportunity query" list identifies queries where competitors appear and yours does not. Counts are reported as ranges.
Microsoft labels the metrics directional rather than absolute. The view only renders when Bing holds enough site data. The opportunity queue may include competitor brand terms irrelevant to editorial planning.
Takeaway: Treat range-based counts as relative signals, not precise tracking inputs.
What does the hiring page tell us about Discover's future?
A Staff ML Engineer posting says the Discover Feed Recommendation team "leads by recommending AI-generated content (AIGC) to fulfill user interests." The listing describes agentic content flows for proactive surfaces including Discover and Notifications. A director-level design posting frames Discover as a "proactive, hyper-personalized concierge experience," with cross-team reach into YouTube, Shopping, Chrome, and Android.
Neither posting carries a launch date. Neither states a feed-share percentage. Search Console's generative AI report for Discover exposes impressions only, per Google's help documentation.
Takeaway: Hiring intent is confirmed; feed volume is not.
The datasets worth watching next: Nozzle's poisoning rate after Google adjusts its countermeasures, OpenAI's release notes for any future tag-related entry, and Bing's calibration of Topics Portfolio metrics before the view exits beta.
via developers.google.com (Original)
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Correspondent covering people, launches and day-to-day practice in Search rankings and algorithm updates, generative engine optimization at SERP Journal.
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