Madeline Wells

Senior Food Reporter

AS SEEN ON

Preston's Summary

Madeline Wells is a senior food reporter at SFGATE. She has extensively covered the Bay Area restaurant scene, focusing on food and beverages, hospitality, and the intersection of business and dining. Her work has been featured in various publications including Beaumont Enterprise, Houston Chronicle, and Eater.

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

Geo Focus

San Francisco, United States (Local)

Coverage Attributes:

Beta
Private Sector Announcements: 21 %
Press Release: 20 %
Promotional Deal: 10 %
Event Coverage: 10 %
Legal Policy Regulation: 9 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Chain Restaurants & Franchises
  • Restaurant Innovation
  • Corporate Sustainability
  • Startups
  • Beverage Production
  • Store Management

Pitching Insights

Madeline's coverage focuses on local food and beverage industry, including restaurant openings and closures in the San Francisco Bay Area. She seems to be particularly interested in newsworthy events related to restaurants, so if you have a story about a notable development or trend within the industry in this geographic area, it may be of interest to her.

Given her emphasis on private sector announcements, press releases, event coverage, and promotional deals as well as themes like food & beverage and house & home topics such as restaurants opening/closing or significant changes could align with her coverage focus. If you represent businesses or organizations making noteworthy moves within these areas locally especially in San Francisco Bay Area reaching out might yield some success.

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
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Most recent topics
Not enough data