Jonathan M. Gitlin

Automotive Editor

Preston's Summary

Jonathan M. Gitlin is the Automotive Editor at Ars Technica. With a background in pharmacology and science policy, he covers a range of topics within the automotive sector, including electric vehicles, car manufacturing, and motorsports, while also exploring themes of green energy and innovation in the industry. He has been featured in RealClearMarkets, The Hoops News, WIRED, and Tech News Tube.

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

Geo Focus

United States (National)

Coverage Attributes:

Beta
Press Release: 39 %
Private Sector Announcements: 17 %
Cites Data: 13 %
Government Announcement: 8 %
Legal Policy Regulation: 5 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Cars
  • Trucks & Lorries
  • Commercial Airlines

Pitching Insights

Jonathan M. Gitlin's coverage predominantly focuses on the automotive industry, particularly electric vehicles (EVs), tax credits, car reviews, and car technology. His articles often cite data and press releases.

To effectively engage Jonathan for potential coverage or collaboration, consider offering new EV models information, insights into the latest developments in car technology and their impact on consumer choices. Additionally, providing access to experts who can delve into the implications of tax credits on EV adoption could be valuable given his focus on this topic.

As a writer with a specific interest in electric vehicles and related technologies within the automotive sector, he may also appreciate pitches regarding exclusive test drives or deep-dive technical analyses of new vehicle features.

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

Journalists With Similar Coverage:

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