Hazen and Sawyer is a water engineering firm in New York, NY. The firm assists clients in addressing water supply and water quality challenges through tailored solutions designed to deliver lasting benefits to the communities they serve. With a 4.80 rating from 8 reviews, the firm specializes in managing complex issues related to drinking water, wastewater, water resources, and wastewater reuse.
The firm's reputation is built upon providing superior technical work to help clients meet water quality and supply goals. Their expertise includes addressing industry challenges such as adapting to new regulations, managing changes in supply or demand, targeting budgets for optimal ROI, and developing resilience against drought, floods, severe storms, and wildfires. Hazen and Sawyer employs over 2,400 people, including many top water experts and emerging talents focused on protecting public health and the environment. Their technical capabilities extend to emerging solutions for PFAS treatment, nutrient removal systems, and advancements in potable reuse and membrane capacity.
Located on Seventh Avenue, the office is situated in the Garment District. The location is a short walk from the United States Post Office and is near West 37th Street and FDNY Engine 26.
The business maintains thorough, well-documented information available online, and their website is structured for clean readability by search engines.
Hazen and Sawyer provides essential technical expertise to solve complex water challenges for the communities of New York.
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BizScoreAI scanned the website hazenandsawyer.com on June 3, 2026. Hazen and Sawyer has a BizScore of 53 out of 100.
AI visibility scan by category: AI Discovery 10 of 25 points, Structured Data 8 of 25 points, Content Readiness 6 of 30 points, AI Trust Signals 14 of 20 points.
Website audit sub-scores (out of 100): On-Page 68, Technical 92, Performance 84, Content 18.
Strengths: 6 checks passed. AI Crawler Access, AI Content Blocking, Organization Schema, Meta Description, About/Team Page, XML Sitemap.
Areas to improve: 7 checks. llms.txt (failed), FAQPage Schema (failed), Q&A Content (failed), Content Too Thin (failed), Speakable Schema (warning), AI-Parseable Headings (warning), Author Signals (warning).
Read by AI engines 1 time in the last 30 days.
Counted from AI crawler and assistant visits to this page, identified by user agent.
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