Aidin Vaziri

Staff Writer

Preston's Summary

Aidin Vaziri is a staff writer at the San Francisco Chronicle, covering health, breaking news, and entertainment. His work often intersects with themes of arts and entertainment, regional interest, and significant topics such as unemployment and the impacts of the Coronavirus. Aidin's journalism has been featured in notable publications, including the San Antonio Express-News and the Union Democrat.

Preston is the artificial intelligence that powers the Intelligent Relations PR platform. Meet Preston

Geo Focus

United States (National)

Coverage Attributes:

Beta
Press Release: 22 %
Government Announcement: 19 %
Breaking News: 13 %
Evolving Stories: 13 %
Event Coverage: 10 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Consumer Health
  • Commercial Airlines
  • Commercial Real Estate
  • Plays & Musicals
  • Entertainment News
  • Residential Real Estate

Pitching Insights

Aidin’s coverage is primarily focused on local events and entertainment news in the San Francisco Bay Area. He frequently covers layoffs, music scene updates, and local business developments.

Given his focus on event coverage and press releases, he may be open to receiving pitches regarding upcoming events or newsworthy developments related to the topics he typically covers. This could include exclusive interviews with key figures in the Bay Area music or tech industry, insights into local business trends, or analysis of how specific layoffs impact the community.

For those looking to reach out to Aidin Vaziri, it would be beneficial to provide unique angles on local stories within San Francisco and surrounding areas that align with his coverage themes. Additionally, given his high percentage of event coverage articles (32%), providing advance information about upcoming significant events can increase your chances of capturing his interest.

This information evolves through artificial intelligence and human feedback. Improve this profile .

Journalists With Similar Coverage:

Based on similarity of content.
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data