● Covered by 1 source · 1 reportMedium impact1 negative
Perplexity AI models cite low-ranked, machine-generated content farms for software recommendations
Key points
- Perplexity models cited 7,534 URLs for software recommendations.
- 59.8% of citations were to domains ranked worse than #100,000.
- 23.4% of citations were to domains not in the top million.
- Three sites, created in December 2023, generated 215,128 "best software" pages.
Analysis of AI Model Citations
Researchers analyzed 7,534 citations from Perplexity AI's sonar and sonar-pro models when prompted for software recommendations across 380 categories. The study focused on the quality and origin of the cited domains to understand the models' grounding behavior.
Prevalence of Low-Quality Sources
The analysis revealed that 59.8% of the citations pointed to domains ranked worse than #100,000 in the Tranco top-1M list, and 23.4% were to domains not present in the top million at all. The median Tranco rank for cited domains was 71,611, indicating a reliance on less authoritative websites.
Emergence of Machine-Generated Content Farms
A significant finding was the identification of three websites, all created in December 2023, that collectively published 215,128 machine-generated "best <category>" pages. These sites were frequently cited by the Perplexity models, suggesting that the AI is being grounded on newly created, potentially low-quality content farms.
Implications for AI Reliability
The reliance on such sources raises questions about the accuracy and trustworthiness of the information provided by AI models like Perplexity. The study highlights a potential vulnerability in web-grounded AI systems, where newly generated, unvetted content can disproportionately influence outputs.
✨ This summary was generated by AI from the outlets' reporting listed below. It is not independently verified and may contain errors — check the original sources. How BrevFeed works →
The daily brief
One email each morning: the day's tech stories, clustered across outlets and summarized. No account needed.
One email a day. Unsubscribe in one click, any time.
Today's brief
Spend a few minutes, get the whole day. Every topic's top stories in one hands-free rundown — listen, watch, or read the transcript.
▶ Play today's brief
New every morning, and the back catalogue is archived by date.
Reporting from
An analysis of Perplexity AI's web-grounded models found that a significant portion of their software recommendations cite low-ranked or unranked domains, including 215,128 machine-generated "best software" pages from three sites created in December 2023. This indicates that Perplexity's grounding process frequently relies on newly created, low-quality content farms rather than established, authoritative sources, raising concerns about the reliability of its recommendations.