Position your space with a lease-comp survey
Rung 2 of 10 · Comparison matrix
1 · Learn the move · Comparison matrix
To price and pitch the owner's space, you read the market the way a tenant reads it: asking rent is the headline, but free rent and TI decide the effective number. A comparison matrix drops your space and your verified comps into the same columns, asking, term, free rent, TI, and the effective rent underneath. So you position on economics, not on the asking sticker, and the deliverable LEADS with where to price your space, never a market average (that market read is the analyst's rent survey). AI is happy to help and, unwatched, will conjure a fourth comp or fill a missing TI with a market-typical guess. The discipline: every comp comes from you, already verified; effective rent is set up as arithmetic tagged [verify] where the inputs are complete and UNKNOWN where a concession input is missing; and the market-rent conclusion stays your call in a [YOUR NUMBER] slot. This positions your own space. It is not a tenant's read of someone else's quotes.
Compare my space to these lease comps so I can figure out where to price it. [paste the comps and my space]
2 · Your turn. You write the prompt
You're the landlord-rep pricing and positioning a 5,000 SF suite. You've pulled three VERIFIED lease comps, asking $/SF, term, free rent, and TI for each, plus your own space's asking terms. One of the three comps is missing its TI figure. You want a comp survey that positions your space on effective economics without inventing anything.
Remember: the AI sees only your prompt, not this page. If the situation isn't in your prompt, it doesn't exist.
Optional. These shape the output when you run your prompt below, not your score.