Perplexity Sonar
AssessPlatforms
A web-grounded AI answer model used to generate cited recommendations.
Why it's here
Placed in Assess: 2 article(s) of evidence from 1 source(s), led by research-stage coverage, with 0 in the last 30 days. Confidence 30%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (2)
- 7Hacker News·9/2/2026researchPerplexity cites mass-generated software list pages from obscure domains
A measurement of Perplexity/sonar and Perplexity/sonar-pro found that most citations for 380 software-category queries pointed to low-ranked or unranked domains, with a large share coming from newer sites. The study also identified three related domains that have published over 215,000 machine-generated “best <category>” pages and are being used as grounding sources by the models.
- 7Hacker News·9/2/2026researchStudy says many Perplexity citations do not support cited figures
An audit of Perplexity’s search models found that 34.7% of citation markers attached to figure-based claims pointed to pages that either would not open or did not contain any matching number. Measured per claim instead of per citation, 14.4% of claims failed, with gated pages and unreadable sources making up much of the gap rather than dead links.