Doyle Auctioneers & Appraisers is an auction house in New York, NY. The firm specializes in auctions for fine art, furniture, and jewelry, serving collectors, dealers, and advisors both nationally and globally. With a 3.80 rating from 71 reviews, the company operates from its New York headquarters and maintains regional presence to support its clients.
The business provides comprehensive services including fair market value appraisals and state-of-the-art auction services for estate executors, fiduciary advisors, and heirs. Their expertise extends to museum and institutional services, where they provide discreet appraisal and auction handling for universities, libraries, and prominent institutions such as the Metropolitan Museum of Art, Brooklyn Museum, and various universities. Doyle also offers an exclusive Trade Services program designed for industry leaders, decorators, and curators, providing them with concierge assistance and private previews of exceptional furnishings and art. The team utilizes their market knowledge to guide clients through every stage of the collecting journey, from the initial appraisal to the final settlement of a sale.
The business maintains thorough and well-documented information online, making it easy for clients to access details regarding upcoming auctions, such as fine jewelry, decorative Asian works of art, and fine prints.
Doyle Auctioneers & Appraisers leverages deep expertise and a global reach to provide personalized auction and appraisal experiences for fine art collectors in New York and beyond.
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BizScoreAI scanned the website doyle.com on May 5, 2026. Doyle Auctioneers & Appraisers of New York has a BizScore of 50 out of 100.
AI visibility scan by category: AI Discovery 10 of 25 points, Structured Data 0 of 25 points, Content Readiness 19 of 30 points, AI Trust Signals 8 of 20 points.
Website audit sub-scores (out of 100): On-Page 13, Technical 58, Performance 74, Content 55.
Strengths: 4 checks passed. AI Crawler Access, AI Content Blocking, AI-Parseable Headings, About/Team Page.
Areas to improve: 6 checks. llms.txt (failed), Structured Data (failed), Q&A Content (warning), Meta Description (warning), XML Sitemap (warning), Author Signals (warning).
Read by AI engines 2 times in the last 30 days.
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