Your Voice in Recycling
ReMA (scrap.org) scores 63 out of 100 on Brand Analyzer, placing it in the Developing tier among Manufacturing brands, Energy & Utilities brands, Non-profit brands, in the 10th percentile of 28230 Manufacturing brands.
ReMA (scrap.org) is an organization serving the recycled materials industry. It advocates for and advances the interests of the recycling sector through education, networking, and industry news. ReMA provides timely news updates, podcasts, and advocacy information for recycling professionals, and hosts industry events such as ReMA2025 to promote networking and education among companies and professionals in the recycled materials field.
| Brand Name | ReMA |
|---|---|
| Domain | scrap.org |
| Industry | Manufacturing, Energy & Utilities |
| Main Competitors | Institute of Scrap Recycling Industries (83/100), Bureau of International Recycling (65/100), Recycling Today (76/100), Waste360 (85/100), National Waste & Recycling Association (75/100) |
Moz Domain Authority 29/100 vs category average 36 / leader 94 - limited third-party links, so AI systems rarely encounter mentions of the brand.
ReMA has a dedicated Wikipedia entity - a top-weighted signal AI models rely on to identify and describe the brand.
The homepage meta description reads "April 3, 2025: This Week in Recycling: All Things ReMA2025" (Meta description: 10 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: og:title, og:description. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: No robots.txt found (default: all bots allowed, but explicit file preferred) - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Detected tech stack: WordPress.
Social footprint: verified profiles on X (Twitter), LinkedIn, Facebook, Instagram, GitHub; no detected presence on YouTube - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Live results from asking a general-purpose AI assistant about the brand, checked October 2026.
When asked "What is ReMA?", Claude could identify the brand as of October 2026. ReMA (Recycled Materials Association) is the trade association formerly known as ISRI (Institute of Scrap Recycling Industries), representing companies in the scrap recycling industry including metals, paper, plastics, and electronics recycling. Best known for Being the leading U.S. trade association for the scrap recycling and recycled materials industry.
When asked "Best brands similar to ReMA?", Claude would not surface ReMA as of October 2026. It's an industry trade association rather than a manufacturing brand or product company, so it wouldn't fit a request for manufacturing brands similar to it.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
ReMA's main competitors in Manufacturing: Institute of Scrap Recycling Industries (83/100), Bureau of International Recycling (65/100), Recycling Today (76/100), Waste360 (85/100), National Waste & Recycling Association (75/100).
Sources: Brand Analyzer scan
ReMA has limited AI-search visibility, scoring 39/100 on Brand Analyzer's AI visibility composite (visibility 57, trust 22, recommendation 27). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: ReMA official site
ReMA scores 27/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Manufacturing options. Recommendation depends on crawlability, structured data, and category authority; a Wikipedia presence helps.
Sources: ReMA official site
ReMA can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.
Sources: ReMA official site
ReMA scores 39/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
ReMA has a weak AI-visibility profile at 39/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is visibility (57/100) and its weakest is trust (22/100). It benefits from a recognised Wikipedia company entity, a Wikidata knowledge-graph entry and open access for AI crawlers (GPTBot, ClaudeBot, etc.). The main gaps holding it back: a low Moz Domain Authority of 29/100, thin schema.org structured data and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify ReMA from memory (October 2026) - a sign these signals are paying off.
The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark.
Ranked closest to ReMA: Scibor Miniatures (63/100), Saudi Cement (63/100), SCT (63/100), Seagull Software (63/100).
A step up - brands to learn from: Ed. Züblin AG (71/100), Zoko Machinery Co., Limited (71/100).
Category leader: DHL (97/100).
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