Run a free full auditRecovery Masonic Lodge No. 31 AFM is a Masonic center in Greenville, SC. A recognized lodge of the Grand Lodge of Ancient Freemasons of SC, the organization is dedicated to performing its duties to the craft and the community through brotherhood, fellowship, and charity. The lodge holds a 4.50 rating based on 12 reviews.
Operating under charter since 1817, the lodge has a long history in the region, with its origins linked to the renumbering of lodges following the union in 1817. The organization serves as a fraternal space that unites men of various religious, ethnic, and social backgrounds through shared beliefs in the brotherhood of mankind. The mission of the lodge focuses on exemplifying Masonic character through personal development, symbolic philosophy, and upright actions. Its core values include education, community engagement, and trust. The lodge meets on the third Monday of each month.
The lodge is located on Cedar Lane Road in Greenville. It is situated a short drive from Monaghan Park and Textile Heritage Park, and is near Monaview Elementary School and the Reedy River.
The business maintains thorough, well-documented information available online, and its website is structured so that search engines can read it cleanly.
With over two centuries of history, Recovery Masonic Lodge No. 31 AFM continues its tradition of making good men better within the Greenville community.
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BizScoreAI scanned the website greenvillemasons.org on May 6, 2026. Recovery Masonic Lodge No. 31 AFM has a BizScore of 53 out of 100. The website audit behind the SEO score ran on October 23, 2026.
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 18 of 20 points.
Website audit sub-scores (out of 100): On-Page 79, Technical 86, Performance 72, Content 5.
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).
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