Highest quality forming machines and tools
Hatebur (hatebur.com) scores 79 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Manufacturing brands, Automotive brands, Technology brands, in the 72nd percentile of 30872 Manufacturing brands.
Hatebur is a manufacturer specializing in high-precision forming machines, services, and tooling for the automotive, roller bearing, and fastener industries. By combining its own engineering expertise with that of the Carlo Salvi brand, Hatebur delivers forming solutions that emphasize technical precision and constructive flexibility. The company targets manufacturers and engineers who require specialized, high-performance machinery for metal forming applications in demanding industrial sectors.
| Brand Name | Hatebur |
|---|---|
| Domain | hatebur.com |
| Industry | Manufacturing, Automotive |
| Main Competitors | Nedschroef (75/100), National Machinery (74/100), Hilgeland Group, Sakamura, Schuler Group (72/100) |
Moz Domain Authority 32/100 vs category average 36 / leader 94 - 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 "Hatebur. A name that stand for the highest-quality forming machines, services and precision tools for automotive, roller bearing and fastener industry." (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), Breadcrumb/Website schema, 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: Nginx.
Social footprint: verified profiles on YouTube, LinkedIn, X (Twitter), Instagram, GitHub; no detected presence on Facebook - 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 Hatebur?", Claude could identify the brand as of October 2026. Hatebur is a Swiss manufacturer of hot and cold forming machines, particularly presses used for forging automotive and industrial components like bearing rings, fasteners, and transmission parts. The company has a long history in the metal forming industry and is known for its fo Best known for Hot and cold forming presses for forging applications, especially in automotive component manufacturing.
When asked "Best brands similar to Hatebur?", Claude would recommend Hatebur as of October 2026. Hatebur is a respected name in forging press technology and would come up naturally in discussions of metal forming equipment manufacturers.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Hatebur's main competitors in Manufacturing: Nedschroef (75/100), National Machinery (74/100), Schuler Group (72/100).
Sources: Brand Analyzer scan
Hatebur has limited AI-search visibility, scoring 29/100 on Brand Analyzer's AI visibility composite (visibility 17, trust 33, recommendation 45). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Hatebur official site
Hatebur scores 45/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Manufacturing options. Recommendation depends on crawlability, structured data, and category authority.
Sources: Hatebur official site
Hatebur 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: Hatebur official site
Hatebur offers forming machines, precision tools, and related services designed for metal forming processes in the automotive, roller bearing, and fastener industries. Its offerings combine Hatebur's own engineering with the Carlo Salvi brand to provide equipment emphasizing technical precision and constructive flexibility for industrial manufacturing needs.
Sources: Hatebur official site
Hatebur is a manufacturer of forming machines, services, and precision tools for the automotive, roller bearing, and fastener industries. It combines its own technical expertise with that of the Carlo Salvi brand to provide forming solutions for specialized industrial manufacturing applications.
Sources: Hatebur official site
Hatebur designs and produces high-precision forming machines and associated tooling used in metal forming processes. It also provides related services to support manufacturers in the automotive, roller bearing, and fastener industries, combining its expertise with the Carlo Salvi brand to offer flexible, precise forming solutions.
Sources: Hatebur official site
Hatebur's products and services are used by manufacturers and engineers in the automotive, roller bearing, and fastener industries who require high-precision forming machinery and tooling solutions for their industrial manufacturing processes.
Sources: Hatebur official site
Hatebur scores 29/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Hatebur has a weak AI-visibility profile at 29/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (45/100) and its weakest is visibility (17/100). 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 32/100 and thin schema.org structured data. In a live check, Claude could already identify Hatebur 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 Hatebur: Hartwig (79/100), HARTMANN (79/100), Hausmann Industries (79/100), Hauzer Techno Coating (79/100).
A step up - brands to learn from: Zucchetti (81/100), Zucchetti (81/100).
Category leader: DHL (97/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.