Generate Your Leasing Proposal Letter with AI
Review the essential components of a professional leasing proposal, then upload your lease terms and company profile to generate a custom, review-ready response.
Custom RFP response sample
Please describe the proposed lease term, renewal options, and the intended use of the premises.
The proposed lease term is five years, commencing on the first of the month following execution. The tenant shall have one option to renew for an additional three-year period, provided written notice is given 180 days prior to expiration. The premises will be used exclusively for professional office operations and administrative support.
Provide a detailed breakdown of the proposed rental rate, including any escalations or tiered pricing.
The base rent is set at $24.00 per square foot per year. Annual escalations will be capped at 3% per annum. We are proposing a tiered structure for the first 12 months to accommodate the tenant's initial build-out phase.
Outline the tenant's requirements for tenant improvements (TI) and the landlord's contribution.
The tenant requires new carpeting and a reconfiguration of the interior partitions to create four private offices. The landlord is requested to provide a TI allowance of $15.00 per square foot to cover these modifications.
Is this the right tool for your leasing proposal?
For Commercial Landlords & Brokers
Ideal for those who need to turn a set of lease terms into a polished, professional proposal letter quickly.
From Terms to First Draft
Convert your raw lease requirements, property specs, and company standards into a structured, source-backed draft.
Human-in-the-Loop Review
Every generated letter includes flags for missing info and source references, ensuring a human expert approves every term.
Workflow
From Lease Terms to a Finished Proposal
Stop drafting leasing letters from scratch. Use your existing data to build a precise response.
Step 1
Upload Lease Requirements
Import the RFP, the property's term sheet, or a list of requirements provided by the prospective tenant.
Step 2
Connect Company Standards
Connect your standard leasing clauses, property brochures, and previous successful proposal letters as source material.
Step 3
Review and Export
Review the AI-generated draft, resolve missing-info flags, and export the final leasing proposal letter to Word or PDF.
Practical guide
Professional Leasing Proposal Letter Best Practices
A successful leasing proposal letter must balance commercial attractiveness with legal clarity. It should clearly outline the lease term, base rent, operating expenses, and any tenant improvement allowances. By structuring these elements in a clear, professional format, you reduce the friction during the negotiation phase and set clear expectations for both the landlord and the tenant.
Moving beyond static templates allows for a more tailored approach. By using a source-backed workbench, you can ensure that every proposal letter aligns with your current portfolio availability and company pricing policies, while maintaining a consistent professional tone across all outgoing bids.
FAQ
Leasing Proposal Letter FAQ
What should be included in a leasing proposal letter?
A comprehensive letter should include the property address, proposed lease term, rental rates, security deposit requirements, renewal options, and a summary of tenant improvements.
Can I use my own previous proposals to guide the AI?
Yes. You can upload previous successful leasing proposals as company documents to ensure the AI follows your preferred style and terminology.
Does the tool calculate the final lease pricing?
No. The tool drafts the proposal based on the pricing and terms you provide in your uploaded documents; it does not perform financial calculations.
In what format can I export the final proposal letter?
Once the draft is reviewed and approved, you can export the leasing proposal letter into formats like Word (DOCX) or PDF for final delivery.
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Create a custom sample response from your own RFP.
Upload the request, connect approved company content, and review the generated answers before export.