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LAPRAS (lapras.com) scores 77 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Technology brands, SaaS brands, Education brands, in the 51st percentile of 52844 Technology brands.
LAPRAS is a Japanese career platform that uses machine learning to automatically generate engineer profiles based on work history and online activity, scoring technical skill and market value. Drawing on data from roughly 40,000 users and job postings, it allows engineers to visualize their market value and receive direct scouting offers for job changes or side projects from selected companies, including startups. It targets engineers seeking self-assessment and companies recruiting technical talent.
| Brand Name | LAPRAS |
|---|---|
| Domain | lapras.com |
| Industry | Technology, SaaS |
| Main Competitors | Wantedly (67/100), Bizreach (72/100), Green (70/100), Findy (69/100), Forkwell (70/100), LinkedIn (86/100) |
Moz Domain Authority 37/100 vs category average 39 / leader 100 - limited third-party links, so AI systems rarely encounter mentions of the brand.
Ranked #1,031,214 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 "LAPRASは機械学習技術によるスコアリングで自分の技術力や市場価値を測れる「プロフィール」を自動生成。スタートアップなど厳選企業から転職・副業のスカウトも。" (Meta description too short (1 words). OG description present but brief) - 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.
Detected tech stack: Nginx.
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 LAPRAS?", Claude could identify the brand as of October 2026. LAPRAS is a Japanese tech talent platform that uses an algorithm to analyze engineers' public activity, like GitHub contributions, tech blog posts, and Qiita articles, to create a scouting profile that connects them with companies for job opportunities. Best known for Scouting platform for engineers based on automated analysis of their public technical output (GitHub, blogs, etc.).
When asked "Best brands similar to LAPRAS?", Claude would recommend LAPRAS as of October 2026. It's a notable and distinctive player in Japan's tech recruiting space due to its unique data-driven approach to passive candidate sourcing.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
LAPRAS's main competitors in Technology: Wantedly (67/100), Bizreach (72/100), Green (70/100), Findy (69/100), Forkwell (70/100).
Sources: Brand Analyzer scan
LAPRAS offers an AI-generated engineer profile service that automatically compiles and scores a user's technical skill and market value based on their career history and online technical activity. It provides market value visualization using a dataset of about 40,000 user profiles combined with company job listings. Additionally, it offers a scouting feature that connects engineers with selected companies, including startups, for direct outreach regarding job changes or side work opportunities, functioning as an integrated career platform for technical professionals.
Sources: LAPRAS official site
LAPRAS is a Japanese career platform designed for engineers and technical professionals. It uses machine learning to automatically generate a professional profile based on a user's work history and online activity, scoring their technical skill and market value. The platform connects these profiles with selected companies, including startups, that offer direct scouting for job changes or side work, positioning itself as a data-driven career matching service for the technology sector.
Sources: LAPRAS official site
LAPRAS has limited AI-search visibility, scoring 36/100 on Brand Analyzer's AI visibility composite (visibility 17, trust 55, recommendation 48). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: LAPRAS official site
LAPRAS analyzes an engineer's career history and online technical activity using machine learning to automatically build a profile that scores their skill level and market value. It benchmarks this against data from roughly 40,000 users and current job listings to show how a person's value compares in the market. Companies, particularly startups, can then browse these profiles and send direct scouting messages to engineers for full-time job or side-project opportunities, streamlining the matching process between technical talent and employers.
Sources: LAPRAS official site
LAPRAS scores 48/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Technology options. Recommendation depends on crawlability, structured data, and category authority.
Sources: LAPRAS official site
LAPRAS is known for its automated, AI-driven profile generation that scores engineers' technical skill and market value using machine learning, based on their work history and online technical activity. It is also known for enabling direct scouting from selected companies, including startups, for both job changes and side projects, differentiating it from traditional resume-based job boards by relying on objective, data-driven assessment rather than self-reported qualifications.
Sources: LAPRAS official site
LAPRAS 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: LAPRAS official site
LAPRAS is used by engineers and other technical professionals who want to understand and visualize their technical skill level and market value. It is also used by recruiters and hiring managers at companies, including startups, who are seeking skilled technical talent and want to scout candidates directly based on data-driven profiles rather than traditional resumes or cover letters.
Sources: LAPRAS official site
LAPRAS scores 36/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
LAPRAS has a weak AI-visibility profile at 36/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is trust (55/100) and its weakest is visibility (17/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #1,031,214 (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 and a low Moz Domain Authority of 37/100. In a live check, Claude could already identify LAPRAS 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 LAPRAS: Langflow (77/100), Land Profit Generator (77/100), Laravel Livewire (77/100), LASER COMPONENTS (77/100).
A step up - brands to learn from: Zymo Research (81/100), Zurich Italia (81/100).
Category leader: Hostinger (97/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.