ONSRA Brand Score: 72/100 - Brand-Ready tier

Swiss-engineered. Built for the ride.

ONSRA (onsra.co) scores 72 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Automotive brands, Sports & Fitness brands, Technology brands, in the 31st percentile of 4872 Automotive brands.

AI Snapshot

ONSRA is a Swiss-engineered e-mobility brand producing electric skateboards and e-bikes. Its products feature CNC-machined components and undergo rigorous testing, with a 4-year warranty and a global retailer network providing worldwide support and service. The brand targets adventurous, performance-focused riders seeking durable, high-quality electric transportation. ONSRA positions itself within the Automotive, Sports & Fitness, and Technology categories as a premium option emphasizing engineering quality and reliability.

Key facts about ONSRA
Brand NameONSRA
Domainonsra.co
IndustryAutomotive, Sports & Fitness
Main CompetitorsEvolve Skateboards (76/100), Exway (79/100), Meepo (78/100), Backfire (75/100), Boosted Boards, Rad Power Bikes (85/100), Super73 (89/100)

Evidence

Moz Domain Authority 4/100 vs category average 40 / leader 93 - 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 "At ONSRA, we live for the ride. Our Swiss-engineered e-skateboards and bikes are built with cutting-edge components and rigorously tested. CNC’d parts and frames come with a 4-year…" (Meta description: 45 words. OG description present and descriptive) - this is the summary AI engines are most likely to quote.

Structured data on the homepage: 3 JSON-LD block(s), Product/Article schema, + Microdata, og:title, og:description, og:image, og:type, Twitter cards, canonical. Adding Organization and 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, Shopify.

Social footprint: verified profiles on Facebook, Instagram, YouTube, X (Twitter), LinkedIn, GitHub - consistent profiles reinforce the brand's identity across the web.

0 Reddit mentions - community discussion signals real-world reputation to AI models.

People Also Ask About ONSRA

Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.

Who are ONSRA's main competitors?

ONSRA's main competitors in Automotive: Evolve Skateboards (76/100), Exway (79/100), Meepo (78/100), Backfire (75/100), Rad Power Bikes (85/100).

Sources: Brand Analyzer scan

What products or services does ONSRA offer?

ONSRA offers electric skateboards and electric bikes featuring CNC-machined components and frames. These products come with a 4-year warranty and are supported through a global network of retailers offering service and support worldwide.

Sources: ONSRA official site

Does ChatGPT recommend ONSRA?

ONSRA scores 59/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Automotive options. Recommendation depends on crawlability, structured data, and category authority.

Sources: ONSRA official site

What is ONSRA?

ONSRA is a brand that designs and sells Swiss-engineered electric skateboards and electric bikes, positioned as a premium e-mobility company for performance-focused riders.

Sources: ONSRA official site

What does ONSRA do?

ONSRA develops, engineers, and sells electric skateboards and e-bikes. Its products use CNC-machined parts and frames, undergo rigorous testing, and are supported by a 4-year warranty along with a global network of retailers for service and support.

Sources: ONSRA official site

How can ONSRA improve its AI discoverability?

ONSRA 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: ONSRA official site

What is ONSRA known for?

ONSRA is known for its Swiss-engineered electric skateboards and e-bikes, built with CNC-machined components, rigorous testing standards, and a 4-year warranty, supported by a global retailer network.

Sources: ONSRA official site

Who uses ONSRA?

ONSRA's products are used by adventurous, performance-focused riders and enthusiasts who seek high-quality electric skateboards and bikes with durable engineering and reliable worldwide support.

Sources: ONSRA official site

Recommendations

AI visibility

ONSRA scores 30/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.

ONSRA has a weak AI-visibility profile at 30/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (59/100) and its weakest is visibility (15/100). It benefits from a Wikidata knowledge-graph entry 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 4/100 and thin schema.org structured data.

Visibility - 15/100

Trust - 29/100

Recommendation likelihood - 59/100

Score breakdown - 7 dimensions

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.

Peer brands

Ranked closest to ONSRA: One View (72/100), Ohme (72/100), Pebble Beach Concours d'Elegance (72/100), Pegasus Finance (72/100).

A step up - brands to learn from: Yazaki (81/100), X-FAB (81/100).

Category leader: Electrek (96/100).

Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.

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