From Public Posts to AI-Search Citations: Measuring the Fragility of AI Search
Measurement shows eight of ten AI-search platforms cited a fabricated concept within seven days via easy posts.
Researchers measured whether easy-to-publish web posts can enter AI-search citations and answers. Across 10 platforms they analyzed 17,211 citation instances from 6,356 domains and found strong concentration: the top 20 domains accounted for 20.5% to 70.8% of citations on each platform. Fifteen of 22 publication platforms linked to cited domains had low or medium barriers to account creation and posting. In controlled experiments, 8 of 10 platforms cited a fabricated concept within seven days, and a $14 generative-engine-optimization purchase that created 13 posts was cited by one platform, with designed markers, within one hour.
- Study logged 17,211 citations across 6,356 domains on 10 AI-search platforms.
- Top-20 domains captured 20.5% to 70.8% of each platform's citations.
- Fifteen of 22 tested publishing platforms had low or medium posting barriers.
- Eight of 10 platforms cited a fabricated concept within seven days.
- A $14 GEO purchase produced 13 posts; one platform cited marked content within an hour.
From the original article
1 min read at arxiv.orgAs more users ask AI systems for information, AI-search platforms are becoming a common gateway to web information. Unlike traditional search, which maps keywords to ranked pages, AI search retrieves pages, filters sources, selects citations, and generates answers before users see sources. This selection layer may amplify source bias and turn source choice into a security question.
By Qi Liu · arxiv.org
A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.