Trace, measure, improve your impact
Fairly Made (fairlymade.com) scores 79 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Fashion & Apparel brands, SaaS brands, Manufacturing brands, in the 57th percentile of 8377 Fashion & Apparel brands.
Fairly Made is a SaaS platform serving the fashion and apparel industry, providing tools for supply chain traceability, life-cycle assessment (LCA) based environmental and social impact measurement, and digital product passports. It is designed to help fashion brands meet sustainability compliance requirements through a single integrated platform, supported by a team of analysts and engineers. Fairly Made targets fashion brands and companies seeking to trace supply chains and demonstrate regulatory and sustainability compliance.
| Brand Name | Fairly Made |
|---|---|
| Domain | fairlymade.com |
| Industry | Fashion & Apparel, SaaS |
| Main Competitors | TrusTrace (77/100), Retraced (89/100), EON (78/100), Circularise (83/100), Sourcemap (80/100), Fibretrace (73/100) |
Moz Domain Authority 34/100 vs category average 44 / leader 93 - limited third-party links, so AI systems rarely encounter mentions of the brand.
Ranked #156,055 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 "Empowering fashion brands with traceability, LCA impact measurement, and digital passports for a seamless sustainability and compliance journey." (Meta description: 18 words (ideal length). No OG description (falling back to meta)) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 2 JSON-LD block(s), Organization schema. 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.
Detected tech stack: Cloudflare, HubSpot.
Social footprint: verified profiles on Instagram, LinkedIn, YouTube, Facebook, GitHub; no detected presence on X (Twitter) - 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 Fairly Made?", Claude could identify the brand as of October 2026. Fairly Made is a French startup that provides traceability and lifecycle analysis software for fashion brands, helping them track the environmental and social impact of their garments from raw material to finished product. Best known for Its traceability platform that lets fashion brands display supply chain transparency and carbon footprint data to consumers via product tags or QR codes.
When asked "Best brands similar to Fairly Made?", Claude would recommend Fairly Made as of October 2026. It's a notable player in fashion supply chain transparency tech, so it fits naturally if someone asks about traceability or sustainability-focused tools for apparel brands rather than consumer clothing brands themselves.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Fairly Made's main competitors in Fashion & Apparel: TrusTrace (77/100), Retraced (89/100), EON (78/100), Circularise (83/100), Sourcemap (80/100).
Sources: Brand Analyzer scan
Fairly Made has limited AI-search visibility, scoring 38/100 on Brand Analyzer's AI visibility composite (visibility 24, trust 42, recommendation 57). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Fairly Made official site
Fairly Made offers a platform combining three main capabilities: supply chain traceability, environmental and social impact measurement through life-cycle assessment (LCA), and digital product passports, aimed at helping fashion brands achieve sustainability compliance.
Sources: Fairly Made official site
Fairly Made scores 57/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Fashion & Apparel options. Recommendation depends on crawlability, structured data, and category authority.
Sources: Fairly Made official site
Fairly Made is a SaaS platform that provides fashion brands with supply chain traceability, environmental and social impact measurement via life-cycle assessment (LCA), and digital product passports. It is positioned as an all-in-one solution for sustainability and regulatory compliance in the fashion industry.
Sources: Fairly Made official site
Fairly Made helps fashion brands trace their supply chains, measure the environmental and social impact of their products using LCA methodology, and generate digital product passports. The platform is intended to support brands in meeting sustainability and compliance requirements, backed by a team of analysts and engineers who assist with data and measurement processes.
Sources: Fairly Made official site
Fairly Made 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: Fairly Made official site
Fairly Made is known for combining supply chain traceability, LCA-based impact measurement, and digital product passports into a single platform specifically built for the fashion and apparel industry.
Sources: Fairly Made official site
Fairly Made is used by fashion brands and companies that need to trace their supply chains, measure environmental and social impact, and comply with sustainability regulations.
Sources: Fairly Made official site
Fairly Made scores 38/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Fairly Made has a weak AI-visibility profile at 38/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (57/100) and its weakest is visibility (24/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #156,055 (Tranco) and open access for AI crawlers (GPTBot, ClaudeBot, etc.). The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, a low Moz Domain Authority of 34/100 and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify Fairly Made 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 Fairly Made: Faction Skis (79/100), Façonnable (79/100), Fanjoy (79/100), Fashion Council Germany (79/100).
A step up - brands to learn from: Zucchetti (81/100), Zizzi (81/100).
Category leader: Complex (97/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.