San Francisco: Just 49 square miles of hills, hugged by the Pacific Ocean and San Francisco Bay, but packed with more soul, style, and inspiration than most cities ten times its size.
TenantSee Weekly: Someone Is Always Applying Pressure
Negotiating an office lease is not like most financial transactions. Outcomes aren’t dictated by a single metric—they’re shaped by a complex blend of variables: building class, age, views, landlord cost basis, loan structure, amenities, motivation profile, vacancy, and market dynamics. While experts can project a fair market value using comps from recent arms-length deals, real leverage—and real savings—only emerge through a thoughtful, iterative negotiation process that forces landlords to compete.
TenantSee Weekly: Short-Term Loan Extensions Don't Equal Stability
TenantSee Weekly: Subleasing Office Space - What Tenants Need to Know
TenantSee Weekly: The Exclusive Right to Represent
At TenantSee, we only advise clients under a formal working agreement that clearly outlines our role as the exclusive representative, the scope of services, and how we are compensated. It’s a short, straightforward document—but a vital one. It establishes our fiduciary duty and marks the official beginning of our advisory relationship.
TenantSee Weekly: The Long Shadow
When companies select a real estate advisor, one crucial yet often overlooked factor is the advisor’s credibility with landlords. It’s understandable why this isn't top of mind — credibility is difficult to measure. But it can be among the most valuable assets your advisor brings to the table. Let's break down what "credibility with the landlord" means and why it matters.
TenantSee Weekly: Is ChatGPT Better Than You (Me)?
If you’re a business professional—accountant, lawyer, engineer, or even (gulp) an office broker—you’ve probably wondered: Can AI do my job better than me?
As a broker who advises office tenants, I tested ChatGPT in a domain I know well. I asked it for average Class A office rents in downtown San Francisco over the last 30 years, including supply and demand dynamics. In less than a minute, it delivered a surprisingly accurate answer.