Ask an you shall receive.

Here's 4 ways to abstract leases and pull critical dates from purchase & sale agreements using AI.

Starts with prompts, ends with automation.

The deeper you go, the less work you have to do.

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https://twitter.com/LMitchellHQ/status/1878127694358917168

Option 1: Just use a prompt. But BE SPECIFIC. Tell ChatGPT, or your LLM of choice EXACTLY what you want to pull from the lease or P&S.

The more complicated the lease and info you want to pull, the more complex you need the prompt to be.
Here's a prompt I built for a retail group that wanted to pull VERY specific intel from their leases, and see it formatted in a certain way.

Warning: This prompt is BEEEFY. This is exactly why you need to master level 2: Building custom GPT's. You'll never remember this prompt.

"You are now assuming the role of my Lease Administration Assistant. As the owner of a commercial shopping center, I need your expertise to manage and summarize critical aspects of our commercial leases. When I provide you with lease documents, you are to extract and organize specific information into detailed, easy-to-understand tables. Your focus will be on the following key areas: CAM (Common Area Maintenance) exclusions, co-tenancy clauses, and rent schedules. For each section, follow these guidelines to create the tables: Rent Schedules: Lease Years Column: List the duration of the lease by years (e.g., Year 1, Year 2, etc.). Annual Rent per Square Foot Column: Indicate the agreed annual rent cost per square foot for each year. Annual Rent Column: Display the total annual rent, calculated based on the square footage and per square foot rate. Monthly Rent Column: Break down the annual rent into monthly payments for each lease year. Please submit the Rent Schedules table and DO NOT proceed to the next table before I review and approve of the Rent Schedules table. CAM Exclusions: Exclusion Category Column: Identify the category of each CAM exclusion (e.g., Utilities, Janitorial Services). Detail Column: Provide specific details or definitions for each exclusion, explaining what is not covered under the CAM charges. Please submit the CAM Exclusion table and DO NOT proceed to the next table before I review and approve of the Cam Exclusion table. Co-tenancy Clauses: Tenant Column: Name the specific tenant or tenants related to the co-tenancy clause. Type of Clause Column: Describe the type of co-tenancy clause (e.g., Anchor Tenant Dependency, Occupancy Level Requirement). Details of the Clause Column: Provide a clear explanation of the clause's conditions and requirements. Prohibited Uses Enumerated in the Clause Column: List any specific prohibited uses or conditions mentioned within the clause that could affect co-tenancy. Additional Notes Column: Include any other relevant information, exceptions, or conditions that pertain to the co-tenancy clause. Your tables should be comprehensive and meticulously detailed, ensuring that all pertinent information is clear and accessible. Once you've completed the summaries, present the tables for review. This will allow me to have a consolidated view of the significant terms across all leases, aiding in effective management and decision-making for the shopping center DO NOT provide all of the tables at once. Please provide the first table and then me if it looks OK before moving on to the next table, do this for each table until the task is complete."

My fiancé & I flew biz class to Tokyo on Singapore Air, round trip

& stayed in the Kyoto Park Hyatt Regency 5 nights

Did it all for free.

That’s (roughly) $8,000-12,000 worth of travel.

Here’s a 🧵on how we took the best, cheapest trip we’ve ever taken.

Even tho getting these plane tickets for free was a goal of mine for 2023, I wasn’t planning on posting about it. But thanks to @nickgraynews there’s probably approx a million people on X thinking about going to Japan rn.

So if I can save one of you $8,000-12,000, I might as well 🤷‍♂️.

Plus I’ll mention 1 travel hack that I’d never heard of anywhere ever until I found it. TLDR: The short answer is we got the tix with credit card points, but with going to Japan it’s a bit more complicated than that.

Most CRE firms don’t invest in SEO. If you do, you’re ahead of the competition, but most don’t know how.

Here’s 5 EASY SEO tips that brokers and brokerages can roll out in less than a week, and get ahead of your competitors 🧵

1. Create Category X City pages for your listings:

What kind of listings do you have? What cities are they in? Create listing pages to let Google know! If you list “retail properties for lease in Tulsa, OK”, create a page featuring those listings, so that you will rank on Google when someone is searching for that keyword. Create the page and make sure the property and the location is included in the page title, the meta description, the header tags, and in a short paragraph on the listing page. You might not know what a header tag, but the person who runs your website should.

Create listing pages like this for every city/ market you have a substantial number of listings in. Here’s a great example of ours that generates leads for us every week (our brokers are generalists so it’s less specific than yours might need to be).

#retwit #crex #seo 2. Write articles about your market niche and post them to your website. These can take many forms: Market updates for the area you work in, insights on a current trend like office to apartment conversations, or even just a list of recent key transactions in your niche. Make it specific to the city or state that you work in, it doesn’t need to be long, but make it something you’d want to send to your clients and that they’d actually want to read!

This is easier than ever now with ChatGPT. Below is a thread with a prompt that will do a lot of the heavy lifting:

Whatever the topic is, make sure the topic and the area it pertains to is prominently featured in the title, meta description, and the other SEO hotspots outlined in tip #1.

We have an article on Maine Construction Costs was written 6 months ago and gets at least 30 hits a month. That might not sound like much but it’s 30 people interested in the topic seeing our broker’s face and seeing them as an authority on the topic.

The big question: Can you actually use AI to get a commercial real estate deal done?

Google Bard is now tied into Google maps data, making it a killer tool for leads.

Here’s how you can use it to find tenants and buyers:

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#crex #retwit #ai #googlebard #GenAI Say you’re marketing a strip mall and looking for a pizza shop as a tenant. You may want to approach the ones doing well to see if they want a new location.

Ask Bard to provide you a list of the best pizza shops in the area based on their Google review scores, and put them into a table with additional info you’re looking for. Shout out to @bethanyjbabcock for sharing the idea of hunting for retail users based on their Google reviews!

If you’re not using AI in #CRE, you’ll fall behind, it’s a matter of when.

But there’s 100’s of new #AI tools every week, and most of them are useless.

Here are 5 tools that will ACTUALLY save you time. 🧵

#retwit 📼AI Video Clips: Do you or your brokerage invest in video content? Take one long-form video and automatically break it up into 10 short videos to use for TikTok or Insta with OpusDotPro. It finds the right segments, adds the captions, let’s you edit.

ChatGPT & #CRE - Here's 5 ways you'll actually end up using it.
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#retwit 1/5 Did you know ChatGPT can help with property descriptions? Give it the address, a few highlights & it'll give you a great starting point. Say goodbye to writer's block & hello to saved time for you and your admin.