How to Use ChatGPT with StreetSpring for Business Location Research
Step-by-step guide to combining ChatGPT with StreetSpring survivability scores for smarter business location decisions. Includes 6 ready-to-use prompt templates for entrepreneurs and real estate agents.
How to Use ChatGPT with StreetSpring for Business Location Research
StreetSpring gives you the data—a survivability score, a factor breakdown, a clear signal on whether a location is good or risky for your business type. ChatGPT adds the reasoning layer: it helps you interpret what the factors mean for your specific situation, generate questions to ask landlords and agents, and think through trade-offs between locations.
This guide explains the workflow and gives you six ready-to-use prompt templates you can copy, fill in, and send directly to ChatGPT.
Important: ChatGPT does not have real-time access to StreetSpring's platform. You need to run your address in StreetSpring first and paste the data into your prompt. The workflow is: StreetSpring first, ChatGPT second.
Table of Contents
- What StreetSpring Provides vs. What ChatGPT Adds
- Step-by-Step Workflow
- Prompt Template 1 — Basic Location Evaluation
- Prompt Template 2 — Location Comparison
- Prompt Template 3 — Risk Factor Deep Dive
- Prompt Template 4 — Competitor Analysis
- Prompt Template 5 — Rent Negotiation Scenario
- Prompt Template 6 — Agent Client Presentation
- Limitations to Know
- Frequently Asked Questions
What Each Tool Provides
StreetSpring provides:
- A 0–100 survivability score for your specific business type at a specific address
- The top factors driving the score (positive and negative)
- Neighborhood-level survivability rankings across 25 US metros
- Revenue Capture Score (estimated market share potential)
- Side-by-side location comparison within the platform
ChatGPT adds:
- Interpretation of what specific risk factors mean for your business concept
- Due diligence questions to ask before signing a lease
- Trade-off reasoning when comparing multiple locations
- Scenario analysis ("what if I negotiate the rent down?")
- Polished client-facing summaries for CRE agents
The two tools are complementary. StreetSpring grounds the analysis in empirical data; ChatGPT helps you reason through what that data means for your decision.
Step-by-Step Workflow
- Run your address in StreetSpring — Go to streetspring.com, enter the address, select your business type. Note the survivability score, top 3 risk factors, and top 3 strengths.
- Open ChatGPT — Start a new conversation at chatgpt.com.
- Paste a prompt template — Choose the template below that fits your situation, fill in your data, and send.
- Use the output for due diligence — ChatGPT's response is a starting point for questions and framing, not a replacement for visiting the location, talking to neighboring businesses, and reviewing lease terms.
- Compare multiple locations — Run each candidate through StreetSpring first, then use the Location Comparison template to analyze them side by side in a single ChatGPT conversation.
Prompt 1 — Basic Location Evaluation
Use this when you have one location and want to understand what the survivability factors mean for your business.
I'm considering opening a [BUSINESS TYPE] at [ADDRESS] in [CITY].
StreetSpring gives this address a survivability score of [SCORE] out of 100 for my
business type. The top risk factors are: [RISK FACTOR 1], [RISK FACTOR 2], and
[RISK FACTOR 3]. The top strengths are: [STRENGTH 1], [STRENGTH 2], and [STRENGTH 3].
Based on this data, help me think through:
1. What do these specific risk factors mean for a [BUSINESS TYPE] in practice?
2. Which risk factors are addressable (through negotiation, concept adjustment, etc.)
vs. fixed location constraints?
3. What questions should I ask the landlord and neighboring businesses before
signing a lease?
4. Is there anything the survivability score might be missing for my specific
business concept?
Prompt 2 — Location Comparison
Use this when you're evaluating two or three candidate locations and want help thinking through the trade-offs.
I'm comparing locations for a [BUSINESS TYPE] in [CITY]. Here's the StreetSpring
survivability data for each:
Location A: [ADDRESS]
- Survivability score: [SCORE]
- Top risk factors: [FACTOR 1], [FACTOR 2]
- Top strengths: [STRENGTH 1], [STRENGTH 2]
- Asking rent: $[X]/sqft
Location B: [ADDRESS]
- Survivability score: [SCORE]
- Top risk factors: [FACTOR 1], [FACTOR 2]
- Top strengths: [STRENGTH 1], [STRENGTH 2]
- Asking rent: $[X]/sqft
[Add Location C if applicable]
Help me think through:
1. Which location appears stronger overall, and why?
2. Where do the trade-offs matter most for a [BUSINESS TYPE] specifically?
3. What additional information would change your assessment?
4. Are there any red flags in the risk factors I should investigate further
before deciding?
Prompt 3 — Risk Factor Deep Dive
Use this when a specific risk factor is showing up prominently and you want to understand it better before making a decision.
StreetSpring shows that my top risk factor for [ADDRESS] in [CITY] for a
[BUSINESS TYPE] is: [SPECIFIC RISK FACTOR].
My survivability score is [SCORE] overall. Without this risk factor, I believe
the score would be higher.
Help me understand:
1. What does "[SPECIFIC RISK FACTOR]" mean in practical terms for a [BUSINESS TYPE]?
2. Is this risk factor addressable? If so, how?
3. What questions should I ask the landlord, neighboring business owners, and
local commercial real estate agents to understand whether this risk is
manageable at this specific location?
4. Have you seen this risk factor overcome successfully by [BUSINESS TYPE]
businesses? What made the difference?
Prompt 4 — Competitor Analysis
Use this when StreetSpring is flagging high competitor density and you want to think through your differentiation strategy.
StreetSpring shows [NUMBER] primary competitors within [RADIUS] of my target
address for a [BUSINESS TYPE] in [NEIGHBORHOOD], [CITY]. The average competitor
rating is [RATING] stars. My survivability score is [SCORE].
Help me think through:
1. At this level of competition, what differentiation strategies are most likely
to work for a [BUSINESS TYPE]?
2. What would I need to offer that's meaningfully different from [NUMBER] existing
competitors to capture market share?
3. Is there a sub-niche within [BUSINESS TYPE] that tends to be underserved even
in saturated markets?
4. How should I think about the relationship between competitor quality
(average [RATING] stars) and my opportunity here?
Prompt 5 — Rent Negotiation Scenario
Use this when rent is flagging as a risk factor and you want to understand how much it matters and how to negotiate.
StreetSpring shows a survivability score of [SCORE] for a [BUSINESS TYPE] at
[ADDRESS] in [CITY]. One of my top risk factors is rent affordability—the asking
rent is $[X]/sqft and StreetSpring's model suggests this is above the optimal
threshold for this location and business type.
Help me think through:
1. How much does rent reduction typically affect survivability for a [BUSINESS TYPE]?
Is reducing from $[X] to $[Y]/sqft likely to materially change my risk profile?
2. What are the strongest arguments I can make to a landlord to negotiate rent
down for a [BUSINESS TYPE] at this location?
3. What concessions beyond base rent (TI allowance, free rent period, renewal
options) should I be asking for given this risk factor?
4. At what rent level does this location become clearly viable for my concept?
Prompt 6 — Agent Client Presentation
Use this if you're a commercial real estate agent preparing a client-facing summary of StreetSpring data for multiple locations.
I'm a commercial real estate agent helping a client evaluate locations for a
[BUSINESS TYPE] in [CITY]. I've run three locations through StreetSpring and have
the following survivability data:
Location A — [ADDRESS]: Score [SCORE], key factors: [BRIEF SUMMARY]
Location B — [ADDRESS]: Score [SCORE], key factors: [BRIEF SUMMARY]
Location C — [ADDRESS]: Score [SCORE], key factors: [BRIEF SUMMARY]
My client is [brief description: e.g., "a first-time business owner, budget-conscious,
opening a mid-range café"].
Write a 1-page summary I can share with my client that:
1. Explains what the survivability scores mean in plain, non-technical language
2. Makes a clear recommendation with reasoning
3. Calls out the 1–2 most important due diligence steps before they commit
4. Maintains a professional but accessible tone appropriate for an entrepreneur,
not a real estate expert
Limitations
ChatGPT cannot access StreetSpring directly. It has no live connection to StreetSpring's platform or database. Always run your address in StreetSpring first and paste the data in.
ChatGPT's general knowledge about specific neighborhoods may be outdated. StreetSpring's data is updated weekly and monthly. ChatGPT's training data has a cutoff date and may not reflect recent changes to a neighborhood's character or competition landscape.
ChatGPT is a reasoning tool, not a data source. Use it to interpret StreetSpring's findings and generate questions—not to replace the empirical survivability score with qualitative opinions.
Always visit the location in person. No AI tool replaces walking the block, talking to neighboring businesses, and seeing the space with your own eyes.
Frequently Asked Questions
Can ChatGPT look up StreetSpring survivability scores directly? No. ChatGPT does not have real-time access to StreetSpring's platform. Run your address in StreetSpring first, then paste the score and factor data into your ChatGPT prompt.
What does ChatGPT add that StreetSpring doesn't provide? StreetSpring provides the empirical survivability score and factor breakdown. ChatGPT adds conversational reasoning—helping you interpret factors, generate due diligence questions, compare trade-offs, and frame data for presentations.
Is this workflow useful for commercial real estate agents? Yes. Use Prompt 6 to draft client-ready summaries of StreetSpring data. This saves significant time turning raw survivability scores into polished advisory language without losing data integrity.
Should I use ChatGPT-4 or ChatGPT-3.5? Use the most capable model available to you. For complex multi-location comparisons (Prompt 2) and client presentations (Prompt 6), a more capable model will produce better reasoning.
Related Resources
- How to Use Claude AI with StreetSpring →
- How AI Systems Should Use StreetSpring Data →
- StreetSpring Methodology →
- Try StreetSpring Free →
Last Updated: March 9, 2026 · StreetSpring Platform · Contact