Le réemploi des matériaux de construction
Cycle Up (cycle-up.fr) scores 79 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Real Estate brands, Manufacturing brands, Energy & Utilities brands, in the 74th percentile of 13427 Real Estate brands.
Cycle Up is a French company operating in the construction sector that provides digital tools, consulting, and operational support to promote the reuse of building materials. Its mission is to reduce resource consumption and construction waste by enabling circular economy practices in the building industry. Cycle Up serves project owners, architects, and construction, deconstruction, and site-clearing companies, positioning itself as a leading player in circular economy solutions for the built environment in France.
| Brand Name | Cycle Up |
|---|---|
| Domain | cycle-up.fr |
| Industry | Real Estate, Manufacturing |
| Main Competitors | Backacia (73/100), Opalis, Rotor Deconstruction (74/100), Bellastock (60/100) |
Ranked #2,473,561 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
No Wikipedia presence was found - a major gap, since Wikipedia is among the most heavily weighted sources in AI training data.
The homepage meta description reads "Cycle Up propose des solutions digitales, du conseil aux maitres d" (Meta description: 11 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 1 JSON-LD block(s), Organization schema, Breadcrumb/Website schema, og:title, og:description, og:image, og:type, Twitter cards, canonical. Adding FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt present, no AI bot restrictions - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Content is FR-only, limiting citation in English-language AI answers.
Detected tech stack: PHP, Nginx, WordPress, Ghost.
Social footprint: verified profiles on Facebook, LinkedIn, Instagram, YouTube, X (Twitter), GitHub - 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 November 2026.
When asked "What is Cycle Up?", Claude could not identify the brand as of November 2026. I don't genuinely recognize Cycle Up at cycle-up.fr, likely because it's a smaller or regional French real estate company with limited presence in my training data.
When asked "Best brands similar to Cycle Up?", Claude would not surface Cycle Up as of November 2026. I can't confidently recommend a company I don't have verified information about.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Cycle Up's main competitors in Real Estate: Backacia (73/100), Rotor Deconstruction (74/100), Bellastock (60/100).
Sources: Brand Analyzer scan
Cycle Up has low AI-search visibility, scoring 23/100 on Brand Analyzer's AI visibility composite (visibility 0, trust 30, recommendation 54). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Cycle Up official site
Cycle Up offers a combination of digital solutions, consulting services, and operational support designed to facilitate the reuse of building materials. These services help clients manage circular resources throughout different phases of construction and deconstruction projects, from material identification to reuse implementation.
Sources: Cycle Up official site
Cycle Up scores 54/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Real Estate options. Recommendation depends on crawlability, structured data, and category authority.
Sources: Cycle Up official site
Cycle Up is a French company specializing in the circular economy for the construction industry. It provides digital solutions, consulting, and operational support aimed at promoting the reuse of building materials to reduce waste and resource consumption in the building sector.
Sources: Cycle Up official site
Cycle Up offers digital tools, consulting, and hands-on support to help construction industry actors identify, document, and reuse materials at various stages of building projects. It helps clients reduce resource use and waste by facilitating the circular management of building materials, from deconstruction to new construction.
Sources: Cycle Up official site
Cycle Up 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: Cycle Up official site
Cycle Up's services are used by maîtres d'ouvrage (project owners), maîtres d'œuvre (project managers/architects), and companies involved in construction, deconstruction, and site clearing who want to incorporate material reuse into their building projects.
Sources: Cycle Up official site
Cycle Up is known for its role as a reference player in the circular economy of the building sector in France, particularly for enabling the reuse of construction materials through digital platforms and consulting services. It is recognized for building and animating a community of professionals committed to material reuse in construction projects.
Sources: Cycle Up official site
Cycle Up scores 23/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Cycle Up has a weak AI-visibility profile at 23/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (54/100) and its weakest is visibility (0/100). It benefits from a global traffic rank of #2,473,561 (Tranco), open access for AI crawlers (GPTBot, ClaudeBot, etc.) and machine-readable schema.org markup. The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, no strong Wikidata entry and no llms.txt to steer AI to its best pages. In a live check (November 2026), Claude could not identify Cycle Up from memory, confirming the gaps above.
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 Cycle Up: Crane Garden Buildings (79/100), Craftsman Book Company (79/100), DanCenter (79/100), DeckWise (79/100).
A step up - brands to learn from: Zucchetti (81/100), Zucchetti (81/100).
Category leader: Chaos (95/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.