DeepSpider.ai
Cloud technical SEO audit platform and website crawler
The founders
The company
DeepSpider.ai is a cloud-based technical SEO audit platform whose crawler reads a whole site via internal links, XML sitemaps and robots.txt, then runs over 220 checks spanning crawlability, indexing, site structure, content duplication, metadata, structured data, hreflang, performance and AI search readiness. Audits run server-side from Frankfurt, so users can close the browser while they finish.
SEO is fracturing across classic ranking signals and newer AI search surfaces, and DeepSpider.ai treats AI search readiness as a first-class check alongside the technical fundamentals. With audits running on the server and evidence attached to every finding, it's pitched at teams who need to prove, not just assert, what's broken.
The platform is developed by Netzforscher OÜ in Estonia and founded by Margus Hõim. The company says the aim is to make technical audits explainable — every check states what was tested, why it matters and how to fix it.
Beyond founder Margus Hõim and the Estonian entity Netzforscher OÜ, the public detail on pedigree is thin, so the proof will be in the product. What's visible is a founding team that has shipped a deep feature set — 220+ checks, Search Console integration, multi-format exports and health-score tracking over time.
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