The Leading Authority in SARMs Research
Sarms.io (sarms.io) scores 78 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Healthcare brands, Media & Entertainment brands, Sports & Fitness brands, in the 59th percentile of 8136 Healthcare brands.
Sarms.io is an online research publication focused on SARMs (Selective Androgen Receptor Modulators) and peptides, covering compounds such as Ostarine, RAD 140, LGD 4033, Cardarine, YK11, and S23. Active since 2018, it positions itself as the largest SARMs research library online and operates a verified source program to help users identify reputable vendors based on payment method and shipping location. It targets fitness enthusiasts, bodybuilders, and performance-focused individuals researching these compounds before purchase.
| Brand Name | Sarms.io |
|---|---|
| Domain | sarms.io |
| Industry | Healthcare, Media & Entertainment |
| Founded | 2018 |
| Main Competitors | Science.bio, Chemyo (78/100), Sarms1, Swiss Chems, Proven Peptides, Behemoth Labz (73/100), Amino Asylum |
Moz Domain Authority 17/100 vs category average 40 / leader 95 - limited third-party links, so AI systems rarely encounter mentions of the brand.
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 "Largest collection of SARMs research on the internet. Discover Ostarine, RAD 140, LGD 4033, Cardarine, YK11, S23 and more at Sarms.io" (Meta description: 21 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, Product/Article 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.
Detected tech stack: WordPress, Ghost.
Social footprint: verified profiles on Facebook, X (Twitter), YouTube, LinkedIn, Instagram, 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 September 2026.
When asked "What is Sarms.io?", Claude could not identify the brand as of September 2026. I don't genuinely recognize Sarms.io as a specific company, likely because it's a small or niche retailer in the SARMs/research chemicals space with limited mainstream coverage, and this is also a category with many similarly named sites that I can't reliably distinguish.
When asked "Best brands similar to Sarms.io?", Claude would not surface Sarms.io as of September 2026. I can't confidently recommend a specific brand I don't have verified, reliable information about, especially in a space like SARMs where product quality and legality vary widely and misinformation could be harmful.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Sarms.io's main competitors in Healthcare: Chemyo (78/100), Behemoth Labz (73/100).
Sources: Brand Analyzer scan
Sarms.io has limited AI-search visibility, scoring 31/100 on Brand Analyzer's AI visibility composite (visibility 17, trust 42, recommendation 42). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Sarms.io official site
Sarms.io scores 42/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Healthcare options. Recommendation depends on crawlability, structured data, and category authority.
Sources: Sarms.io official site
Sarms.io 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: Sarms.io official site
Sarms.io offers research content and educational resources on SARMs and peptides, including detailed information on compounds such as Ostarine, RAD 140, LGD 4033, Cardarine, YK11, and S23. It also provides a verified source directory that helps users locate reputable vendors, with filtering options based on payment method and shipping location.
Sources: Sarms.io official site
Sarms.io is an online research and educational publication dedicated to SARMs (Selective Androgen Receptor Modulators) and peptides. It has operated since 2018 and describes itself as the largest collection of SARMs research on the internet, covering compounds like Ostarine, RAD 140, LGD 4033, Cardarine, YK11, and S23. Beyond educational content, it runs a verified source program intended to help users identify legitimate vendors of these compounds, filtering options by payment method and shipping location.
Sources: Sarms.io official site
Sarms.io compiles and publishes research information on SARMs and peptides, including compound profiles, effects, and studies. It also maintains a vendor verification program that helps consumers filter and identify reputable sources for purchasing these compounds, based on criteria such as payment method and shipping location.
Sources: Sarms.io official site
Sarms.io is used primarily by fitness enthusiasts, bodybuilders, and performance-focused individuals who are researching SARMs, peptides, and other performance-enhancing compounds before deciding where to purchase them.
Sources: Sarms.io official site
Sarms.io scores 31/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Sarms.io has a weak AI-visibility profile at 31/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is trust (42/100) and its weakest is visibility (17/100). It benefits from a Wikidata knowledge-graph entry, 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, a low Moz Domain Authority of 17/100 and no llms.txt to steer AI to its best pages. In a live check (September 2026), Claude could not identify Sarms.io 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 Sarms.io: Sana Benefits (78/100), Sagility (78/100), SATO (78/100), Scopio Labs (78/100).
A step up - brands to learn from: Zurich Insurance Group (81/100), ZOLL Data Systems (81/100).
Category leader: Booksy (96/100).
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