Precision Crusher Parts, Engineered to Spec
Tiger Machinery (tiger-machinery.com) scores 61 out of 100 on Brand Analyzer, placing it in the Developing tier among Manufacturing brands, Technology brands, in the 7th percentile of 20647 Manufacturing brands.
Tiger Machinery, operating as Changsha Tiger Machinery, is a technical supplier of crusher wear parts for cone and jaw crushers compatible with major brands including Metso, Sandvik, and Symons. The company provides per-model specifications, complete parts lists, and material standards (DIN/SAE/GB), along with casting process guides. It targets mining, quarrying, and aggregate processing companies, as well as maintenance engineers and procurement teams seeking technically documented replacement parts rather than generic aftermarket components.
| Brand Name | Tiger Machinery |
|---|---|
| Domain | tiger-machinery.com |
| Industry | Manufacturing, Technology |
| Headquarters | Changsha, China |
| Main Competitors | Metso (89/100), Sandvik (47/100), Terex Corporation (85/100), Columbia Steel Casting Co. (71/100), CMS Cepcor, MGS Casting, H-E Parts International |
Moz Domain Authority 4/100 vs category average 37 / 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 "CHANGSHA TIGER MACHINERY - Technical crusher parts supplier with per-model specifications for Metso, Sandvik, Symons cone & jaw crushers. Complete parts lists, material standar…" (Meta description: 29 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), Organization schema, og:title, og:description, 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.
Social footprint: verified profiles on X (Twitter), LinkedIn, Instagram, YouTube; no detected presence on Facebook, GitHub - 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 Tiger Machinery?", Claude could not identify the brand as of October 2026. I don't recognize Tiger Machinery specifically, likely because it's a smaller or niche manufacturing company without a strong presence in the information I was trained on.
When asked "Best brands similar to Tiger Machinery?", Claude would not surface Tiger Machinery as of October 2026. I can't recommend a company I don't have verified knowledge about, since I'd risk giving inaccurate information.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Tiger Machinery's main competitors in Manufacturing: Metso (89/100), Sandvik (47/100), Terex Corporation (85/100), Columbia Steel Casting Co. (71/100).
Sources: Brand Analyzer scan
Tiger Machinery has low AI-search visibility, scoring 20/100 on Brand Analyzer's AI visibility composite (visibility 0, trust 31, recommendation 42). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Tiger Machinery official site
Tiger Machinery scores 42/100 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: Tiger Machinery official site
Tiger Machinery 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: Tiger Machinery official site
Tiger Machinery scores 20/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Tiger Machinery has a weak AI-visibility profile at 20/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (42/100) and its weakest is visibility (0/100). It benefits from open access for AI crawlers (GPTBot, ClaudeBot, etc.) and machine-readable schema.org markup. The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, no strong Wikidata entry and a low Moz Domain Authority of 4/100. In a live check (October 2026), Claude could not identify Tiger Machinery from memory, confirming the gaps above.
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 Tiger Machinery: Synertech Automation (61/100), Surge Automation Inc. (61/100), Tigress Outriggers (61/100), Tire Review Magazine (61/100).
A step up - brands to learn from: Zoko Machinery Co., Limited (71/100), Zoeller Pumps (71/100).
Category leader: DHL (97/100).
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