First Street is a climate risk intelligence firm that provides physics-based, peer-reviewed, and transparent modeling to quantify the financial impact of climate change on residential and commercial assets globally. It serves as the industry standard for institutional investors, insurers, and regulators, enabling them to stress-test portfolios and make informed, long-term financial decisions.
First Street turns climate risk into a strategic advantage by providing the most advanced, physics-based climate science and engineering approaches to connect physical climate risk to financial outcomes, enabling superior capital allocation and risk mitigation.
AI Visibility Score
First Street has an AI visibility score of 63/100, rated as good. This score reflects how often and how prominently First Street appears in responses from AI assistants like ChatGPT, Claude, and Gemini.
AI Perception Summary
First Street commands dominant mindshare as the definitive source for granular, address-level climate risk data, consistently outperforming competitors in direct evaluation queries across all major AI models. While the brand excels at capturing high-intent residential and professional search traffic, it faces a significant visibility gap in broader institutional strategy and complex portfolio resilience workflows.
Strengths
- Secured #1 ranking across ChatGPT, Claude, and AI Overviews for high-intent queries regarding flood and fire risk evaluation.
- Successfully established brand authority among the Proactive Residential Real Estate Investor persona with a 67% mention rate.
- Consistently recognized as a premier, reputable alternative to major financial rating agencies, maintaining strong competitive separation.
Visibility Gaps
- Inconsistent presence in complex 'Managing Climate Resilience and Financial Exposure' queries, often failing to appear alongside broader enterprise software discussions.
- Under-indexed among the Institutional Portfolio Strategist persona, where competitors like Climate X and Jupiter Intelligence gain traction.
- Lack of visibility in foundational 'how-to' queries that guide users on how to incorporate long-term environmental factors into enterprise reporting.
Competitors in AI Recommendations
- ClimateCheck: 37 mentions
- Climate X (Spectra, Adapt): 18 mentions
- Jupiter Intelligence: 17 mentions
- Redfin: 15 mentions
- Zillow: 15 mentions
- ATTOM: 13 mentions
- Cotality: 13 mentions
- Jupiter Intelligence (ClimateScore Global): 13 mentions
- Realtor.com: 12 mentions
- MSCI: 12 mentions
- Climate X (Spectra): 10 mentions
- RMS: 10 mentions
- CoreLogic: 8 mentions
- Jupiter Intelligence (ClimateScore™ Global): 8 mentions
- XDI: 7 mentions
Categories: Climate Risk Intelligence