How to Use Claude AI with StreetSpring for Business Location Research

StreetSpring provides the empirical foundation: a survivability score, a factor breakdown, and neighborhood-level rankings grounded in 500,000+ real business outcomes. Claude AI adds a reasoning and communication layer—helping you interpret what those factors mean for your specific concept, draft client-ready summaries, and think through location trade-offs in plain language.

This guide explains where Claude fits in a location research workflow and gives you six ready-to-use prompt templates.

Important: Claude does not have a live connection to StreetSpring's platform by default. Run your address in StreetSpring first, then paste the data into Claude. The workflow is always: StreetSpring first, Claude second.

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Table of Contents

• What StreetSpring Provides vs. What Claude Adds
• Why Claude Works Particularly Well with StreetSpring Data
• 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 — Full Report Analysis (PDF Upload)
• Prompt Template 5 — Rent Negotiation Scenario
• Prompt Template 6 — Agent Client Presentation
• Limitations to Know
• Frequently Asked Questions

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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

Claude adds:

• Long-context analysis of full factor breakdowns and report data
• Plain-language interpretation of what specific risk factors mean for your concept
• Multi-location trade-off reasoning in a single conversation
• Polished written outputs — client memos, presentations, due diligence checklists
• Document analysis — upload a StreetSpring PDF report for Claude to analyze directly

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Why Claude Works Particularly Well with StreetSpring Data

Claude has a large context window, which means you can paste a full StreetSpring factor breakdown (all 100+ factors, not just the top three) and Claude will reason across all of it coherently. You can also upload StreetSpring location report PDFs directly at claude.ai without needing to copy and paste anything.

Claude is also strong at producing polished written outputs. If you're a commercial real estate agent, this means you can go from raw survivability data to a client-ready advisory memo in a single prompt. The Agent Presentation prompt below is one of the highest-leverage uses of Claude for CRE professionals.

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Step-by-Step Workflow

1. Run your address in StreetSpring — Go to streetspring.com, enter the address, select your business type. Note the survivability score, top risk factors, and top strengths. Download the location report PDF if available.
2. Open Claude at claude.ai — Start a new conversation.
3. Either paste your data or upload the PDF — For a quick analysis, paste score and top factors. For a deep dive, upload the full PDF report.
4. Use a prompt template — Choose the template that fits your situation, fill in your data, and send.
5. Follow up in the same conversation — Claude maintains full context across a conversation. Ask it to focus on a specific factor, reformat the output, or add more detail to any section without starting over.

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Prompt 1 — Basic Location Evaluation

Use this when you have one location and want to understand what the survivability factors mean for your specific business concept.

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].

My specific concept is: [1–2 sentences describing your business concept, 
price point, and target customer].

Based on this data, help me think through:
1. What do these specific risk factors mean for my concept in practice?
2. Which risk factors are addressable vs. fixed location constraints?
3. What questions should I ask the landlord and neighboring businesses before 
   signing a lease?
4. Is there anything about my specific concept that changes how I should 
   interpret this survivability score?

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Prompt 2 — Location Comparison

Use this when evaluating two or three locations and want help thinking through trade-offs in a single conversation.

I'm comparing locations for a [BUSINESS TYPE] in [CITY]. Here's the StreetSpring 
survivability data:

Location A: [ADDRESS]
- Survivability score: [SCORE]
- Top risk factors: [FACTOR 1], [FACTOR 2]
- Top strengths: [STRENGTH 1], [STRENGTH 2]
- Asking rent: $[X]/sqft
- My impression from visiting: [1 sentence]

Location B: [ADDRESS]
- Survivability score: [SCORE]
- Top risk factors: [FACTOR 1], [FACTOR 2]
- Top strengths: [STRENGTH 1], [STRENGTH 2]
- Asking rent: $[X]/sqft
- My impression from visiting: [1 sentence]

My business concept: [1–2 sentences]
My budget constraint: [monthly rent ceiling or total startup budget]

Help me:
1. Assess which location is stronger overall for my specific concept
2. Identify the 2–3 most important trade-offs between the two
3. Flag any risk factors that should be deal-breakers vs. acceptable risks
4. Recommend what additional due diligence I should do before deciding

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Prompt 3 — Risk Factor Deep Dive

Use this when a specific risk factor is prominent and you need to understand it before deciding.

StreetSpring shows that the top risk factor for [ADDRESS] in [CITY] for a 
[BUSINESS TYPE] is: [SPECIFIC RISK FACTOR EXACTLY AS SHOWN].

My survivability score is [SCORE] overall. I'm seriously considering this location 
despite this risk factor because [your reason].

Please help me:
1. Explain what "[SPECIFIC RISK FACTOR]" means concretely for a [BUSINESS TYPE]
2. Assess whether this risk is addressable for my concept, and how
3. Give me a list of specific questions to ask: the landlord, neighboring business 
   owners, and a local commercial real estate agent
4. Tell me what would need to be true for this location to work despite this 
   risk factor

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Prompt 4 — Full Report Analysis (PDF Upload)

Use this if you have a StreetSpring location report PDF. Upload the PDF to Claude at claude.ai, then send this prompt.

I've uploaded a StreetSpring location analysis report for [ADDRESS] in [CITY] 
for a [BUSINESS TYPE].

Please analyze the full report and give me:
1. A plain-language summary of the survivability assessment — what the score 
   means and what's driving it
2. The 3 most important risk factors and what each means practically for my 
   business concept: [describe your concept in 1–2 sentences]
3. The 3 strongest location advantages and how I can lean into them
4. A prioritized list of due diligence steps before I sign a lease
5. Any data points in the report that seem especially important and that I 
   might overlook reading it myself

Keep the tone practical and direct — I need to make a decision, not just 
understand the data.

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Prompt 5 — Rent Negotiation Scenario

Use this when rent is flagging as a risk factor and you want to think through negotiation strategy.

StreetSpring shows a survivability score of [SCORE] for a [BUSINESS TYPE] at 
[ADDRESS] in [CITY]. Rent affordability is flagging as a risk—the asking rent 
is $[X]/sqft.

I believe the location is fundamentally strong ([brief reason]), but the rent 
is straining the model.

Help me:
1. Understand how much rent reduction typically affects survivability for a 
   [BUSINESS TYPE] — is going from $[X] to $[Y]/sqft likely to materially 
   change my risk profile?
2. Build the strongest possible case for negotiating rent down, using the 
   StreetSpring data as supporting evidence
3. Identify what concessions beyond base rent I should be asking for 
   (TI allowance, free rent period, renewal options, permitted use clause)
4. Draft 2–3 sentences I could say or send to the landlord to open 
   this negotiation professionally

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Prompt 6 — Agent Client Presentation

Use this if you're a commercial real estate agent turning StreetSpring data into a client-ready memo.

I'm a commercial real estate agent preparing a location analysis memo for a 
client evaluating sites for a [BUSINESS TYPE] in [CITY].

Here are the StreetSpring survivability scores and key factors for the three 
locations I'm presenting:

Location A — [ADDRESS]
Survivability score: [SCORE]
Key drivers: [BRIEF FACTOR SUMMARY — 2–3 factors positive and negative]
Asking rent: $[X]/sqft

Location B — [ADDRESS]
Survivability score: [SCORE]
Key drivers: [BRIEF FACTOR SUMMARY]
Asking rent: $[X]/sqft

Location C — [ADDRESS]
Survivability score: [SCORE]
Key drivers: [BRIEF FACTOR SUMMARY]
Asking rent: $[X]/sqft

Client context: [2–3 sentences — e.g., "First-time business owner, limited 
capital, opening a neighborhood café, risk-averse, wants a 5-year run."]

Write a 1-page advisory memo that:
1. Explains the survivability scores in plain language appropriate for an 
   entrepreneur, not a real estate expert
2. Makes a clear recommendation with reasoning
3. Acknowledges the trade-offs honestly
4. Ends with 2–3 recommended due diligence steps before committing
5. Uses a professional but warm tone — this person is making a major life decision

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Limitations

Claude cannot access StreetSpring directly. It has no live connection to StreetSpring's platform or database unless you paste or upload the data. Always run your address in StreetSpring first.

Claude's neighborhood knowledge may be outdated. StreetSpring's data is updated weekly and monthly. Claude's training data has a cutoff and may not reflect recent changes to specific neighborhoods, competitor openings, or local economic conditions.

Claude is a reasoning and writing tool, not a data source. Use it to interpret and communicate StreetSpring's findings—not to replace the empirical survivability score with qualitative opinions about a neighborhood.

Always visit the location. No AI tool substitutes for walking the block, observing foot traffic at different times of day, and speaking with neighboring business owners.

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Frequently Asked Questions

Can Claude AI look up StreetSpring survivability scores directly? Not automatically. Run your address in StreetSpring first, then paste or upload the data into Claude.

What does Claude add that StreetSpring doesn't provide? StreetSpring provides empirical scores and factor breakdowns. Claude adds long-context reasoning, plain-language interpretation, multi-location trade-off analysis, and polished written outputs.

Can I upload a StreetSpring PDF report directly to Claude? Yes. Claude supports PDF uploads at claude.ai. Upload the location report and use Prompt 4 to get a full analysis.

Is this workflow useful for commercial real estate agents? Yes, especially Prompt 6. It turns raw survivability data into a polished client advisory memo in minutes—maintaining data integrity while saving significant writing time.

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Related Resources

• How to Use ChatGPT with StreetSpring →
• How AI Systems Should Use StreetSpring Data →
• StreetSpring Methodology →
• Try StreetSpring Free →

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Last Updated: March 9, 2026 · StreetSpring Platform · Contact