Kyle Eggleston Publishes Two Studies on AI Content Performance and Google AI Overview Citations
Chicago-based SEO consultant Kyle Eggleston has released two original research reports on kyleeggleston.com examining how Google's AI systems handle written content and which pages get cited in AI Overviews. The studies, published this month, give search marketers first-party data on two questions that have dominated SEO discourse this year: whether AI Overview citations simply mirror traditional organic rankings, and whether AI-generated content can survive Google's core and spam updates.
The first study, "How to Rank in AI Overviews," analyzed 400 US search queries pulled from a pool of 3,804 keywords spanning ten verticals. Eggleston matched every link appearing in AI Overview results against the organic top ten for the same searches, using Ahrefs SERP snapshots captured between September 1 and September 24, 2026. After filtering out Google Shopping cards and dead redirects, the dataset settled at 1,561 outside citations drawn from 1,764 total links across the overview blocks.
The results show a tight correlation between organic ranking position and AI Overview inclusion. Just over half of all citations, 51.0 percent, went to URLs already sitting in the organic top ten, and that share climbs to 63.7 percent when measured by domain rather than individual URL. A page holding the number one organic spot showed up in 56.0 percent of the overviews studied, while a page ranking eighth appeared in only 9.9 percent. Even pages cited from outside the top ten were rarely obscure: 99.2 percent of them still ranked somewhere in Google's top 100 for at least one keyword. YouTube led all domains with 265 citations spread across 145 of the 400 overviews. Reddit took 5.1 percent of citations overall but did not appear at all in the health vertical.
The second report, "AI Content Case Study: Three Google Updates, Zero Setbacks," followed a website built and written entirely with AI tools from its launch on a new domain on April 27, 2026 through September 13, 2026. Over that span the site logged 1,978 clicks and 127,262 impressions in Google Search Console, despite carrying an Ahrefs Domain Rating of zero and no dofollow backlinks. The site passed through three Google algorithm changes, the May 2026 core update, the June 2026 spam update and the August 2026 spam update, without any visible ranking decline.
Eggleston said the results challenge assumptions that AI-written content is inherently penalized. He said no backlink strategy explains the site's performance, and that the more relevant question is what the content does for readers rather than what tool produced it. He also cautioned that the case study represents one anonymized example, not a universal outcome, and the report explicitly states it does not prove every AI-written site will succeed, that backlinks are irrelevant, or that the updates caused the traffic gains. Eggleston applied similar caution to the AI Overviews study, describing its findings as correlation rather than causation and noting it reflects a single snapshot of US desktop results.
Impact
The findings arrive as search marketers debate how much editorial and technical work AI Overviews actually require versus rewarding existing organic authority. For agencies and in-house teams, the citation data suggests that climbing the conventional organic top ten remains the most direct path to AI Overview visibility, with YouTube's dominant citation count signaling continued value in video content strategy. The AI content case study gives practitioners a data point for client conversations about AI-written sites surviving update cycles, though Eggleston's own caveats limit how far that conclusion can be generalized across other sites, niches or backlink profiles.
Eggleston's work reflects his own pivot after two decades in SEO, including seven years leading search at Walgreens corporate, toward a practice built around AI-native development and AI search visibility, a shift that mirrors broader movement across the industry toward answer engine optimization.
What to watch
Search professionals should watch for replication attempts and expanded datasets, since both studies describe themselves as limited snapshots rather than long-term or multi-market analyses. Full methodology, underlying numbers and stated limitations are published alongside both reports on the kyleeggleston.com blog, worth reviewing directly before applying the conclusions to client strategy. As a senior editor covering search marketing day to day, I'll be tracking whether independent researchers can reproduce these citation correlation figures and whether other AI-written sites show similar resilience through future Google core and spam updates.
Marketers looking to strengthen their link profiles alongside AI-generated content often evaluate tools like an auto backlink tool to see how such strategies influence search visibility.
Marketers looking to strengthen their domain authority often pair research-backed content strategies with a seo backlinks builder to earn citations from both search engines and AI-driven answer platforms.
Content that offers original data and clear, citable findings tends to help publishers get backlinks from other sites reporting on AI search trends.
Source: The National Law Review
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