Construction’s first AI-powered hiring platform
Skillit (skillit.com) earns a Brand Analyzer score of 76 out of 100, placing it in the Brand-Ready tier among SaaS brands. Among 12358 SaaS brands analyzed, Skillit ranks in the 85th percentile (category average 69, leader 97). 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. Dimension scores: Name Quality 93/100, Digital Presence 82/100, Visual Identity 93/100, Messaging Clarity 100/100, Trust Foundation 76/100, AI Discoverability 92/100, Brand Authority 28/100.
Skillit (skillit.com) is a SaaS recruiting platform founded in 2023 and headquartered in Paris. It operates America's largest database of craft workers, using AI to connect construction companies and employers with skilled trade workers. Its mission is to address the skilled labor shortage by unlocking access to the existing craft workforce. Workers build profiles on the platform, while employers search vetted candidates in seconds, bypassing generic job boards.
| Brand Name | Skillit |
|---|---|
| Domain | skillit.com |
| Industry | SaaS |
| Founded | 2023 |
| Headquarters | Paris |
| Main Competitors | Procore Talent, iHire Construction, ConstructionJobs.com, Workiz (69/100), Tradespeople, BlueRecruit |
Moz Domain Authority 23/100 vs category average 28 / leader 99 - limited third-party links, so AI systems rarely encounter mentions of the brand.
Ranked #4,348,929 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 "Find Construction Jobs Near You. Build your profile on Skillit, the Top Recruiting Platform, to hire construction workers for high-paying, skilled trade jobs" (Meta description: 23 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 4 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 mentions GPTBot, ClaudeBot, Google-Extended - all allowed - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Social footprint: verified profiles on Instagram, LinkedIn, YouTube, GitHub; no detected presence on Facebook, X (Twitter) - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Skillit scores 40/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Skillit has a limited AI-visibility profile at 40/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (63/100) and its weakest is visibility (21/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #4,348,929 (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 23/100 and no llms.txt to steer AI to its best pages.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Skillit's main competitors include Procore Talent, iHire Construction, ConstructionJobs.com, Workiz (69/100), Tradespeople. These companies compete in the SaaS space for similar customers, offering comparable products or services.
Sources: Skillit official site
Skillit and Workiz are competitors in SaaS. Brand Analyzer scores Skillit at 76/100 and Workiz at 69/100. They target overlapping audiences; the right choice depends on your specific needs and priorities.
Sources: Skillit official site
Popular alternatives to Skillit include Procore Talent, iHire Construction, ConstructionJobs.com, Workiz (69/100), Tradespeople. Each is an established option in the SaaS space; the best fit depends on your specific needs, budget, and required features.
Sources: Skillit official site
Skillit has limited AI-search visibility, scoring 40/100 on Brand Analyzer's AI visibility composite (visibility 21, trust 48, recommendation 63). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Skillit official site
Skillit was founded in 2023. Skillit operates in the SaaS category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
Skillit is headquartered in Paris. Skillit operates in the SaaS category.
Sources: Wikidata
Skillit offers a SaaS recruiting platform that includes a worker profile-building tool for craft workers and an AI-powered employer search interface for construction companies. The platform provides access to America's largest database of vetted craft worker profiles, enabling employers to search and connect with skilled trade candidates in seconds. The service is specifically tailored to the construction and skilled trades industry rather than functioning as a generic employment platform.
Sources: Skillit official site
Skillit enables construction companies and employers to search America's largest database of craft workers using AI, returning vetted worker profiles in seconds. Workers can build profiles on the platform to be discovered for high-paying, skilled trade jobs. The platform connects employers directly with skilled trade workers who are difficult to find on generic job boards, with the stated mission of fixing the skilled labor shortage by unlocking access to the existing craft workforce.
Sources: Skillit official site
Skillit is a SaaS-based recruiting platform founded in 2023 and headquartered in Paris. It positions itself as the top recruiting platform for construction and skilled trade jobs in the United States. It operates America's largest database of craft workers and uses AI technology to help employers find vetted skilled trade workers quickly, addressing the broader skilled labor shortage in the construction industry.
Sources: Skillit official site
Skillit scores 63/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest SaaS options. Recommendation depends on crawlability, structured data, and category authority.
Sources: Skillit official site
Skillit serves two primary user groups. The first is construction companies and employers who need to hire skilled craft workers and use the platform's AI-powered search to find vetted candidates quickly. The second is skilled trade workers and craft workers who build profiles on the platform to be discovered for high-paying construction and trade jobs. The platform is designed specifically for the construction industry rather than general job seekers or employers across other sectors.
Sources: Skillit official site
Skillit 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: Skillit official site
Skillit is known for operating America's largest database of craft workers and for applying AI to streamline construction and skilled trade recruiting. It is recognized for focusing exclusively on the construction and skilled trades sector rather than functioning as a general-purpose job board. Its positioning as a platform that vets worker profiles and enables rapid, AI-powered searches distinguishes it within the construction labor market.
Sources: Skillit official site
Ranked closest to Skillit: Siteline (76/100), SimBio (76/100), SkinIO (76/100), SKULabs (76/100).
A step up - brands to learn from: Zyte (81/100), Zipline (81/100).
Category leader: Accenture (97/100).