Precision and Performance in Measurement
FOGALE (fogale.fr) scores 77 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Technology brands, Manufacturing brands, Energy & Utilities brands, in the 49th percentile of 38522 Technology brands.
FOGALE, headquartered in Nîmes, France, and founded in 1983, is a specialist provider of advanced capacitive sensing systems. The company designs bespoke, ultra-precise, and durable measurement solutions for demanding environments such as cryogenics, aerospace, energy, and robotics. FOGALE differentiates itself from off-the-shelf sensor providers through custom engineering capabilities tailored to extreme operating conditions, serving engineers, manufacturers, and technical decision-makers across industrial sectors.
| Brand Name | FOGALE |
|---|---|
| Domain | fogale.fr |
| Industry | Technology, Manufacturing |
| Founded | 1983 |
| Headquarters | Nîmes |
| Main Competitors | Micro-Epsilon (77/100), Lion Precision (75/100), Capacitec (60/100), HBM (Hottinger Brüel & Kjær) (84/100), Physik Instrumente (PI) (74/100) |
Moz Domain Authority 31/100 vs category average 40 / leader 100 - 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 "Explore FOGALE’s advanced capacitive sensing systems for cryogenics, aerospace, robotics and more - bespoke, ultra‑precise & durable." (Meta description: 17 words (ideal length). No OG description (falling back to meta)) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 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: PHP, Nginx.
Social footprint: verified profiles on LinkedIn, YouTube, X (Twitter), Instagram; 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 September 2026.
When asked "What is FOGALE?", Claude could identify the brand as of September 2026. FOGALE (FOGALE nanotech) is a French company specializing in capacitive sensing and metrology solutions, providing advanced measurement and sensing technologies for semiconductor manufacturing, industrial process control, and human-machine interfaces. Best known for capacitive sensor technology used in semiconductor wafer metrology and industrial process monitoring.
When asked "Best brands similar to FOGALE?", Claude would recommend FOGALE as of September 2026. It's a respected niche player in precision capacitive sensing and semiconductor metrology, so I'd mention it if someone asked about specialized sensing technology providers.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
FOGALE's main competitors in Technology: Micro-Epsilon (77/100), Lion Precision (75/100), Capacitec (60/100), HBM (Hottinger Brüel & Kjær) (84/100), Physik Instrumente (PI) (74/100).
Sources: Brand Analyzer scan
FOGALE offers advanced capacitive sensing systems and bespoke measurement solutions engineered for extreme environments. Its offerings are tailored to specific technical challenges in industries including aerospace, energy, robotics, and industrial manufacturing, emphasizing ultra-precision and durability in custom-designed sensor systems.
Sources: FOGALE official site
FOGALE is a French company, founded in 1983 and headquartered in Nîmes, that specializes in advanced capacitive sensing technology. It designs and manufactures precision measurement systems used in demanding environments such as cryogenics, aerospace, energy, and robotics.
Sources: FOGALE official site
FOGALE has limited AI-search visibility, scoring 30/100 on Brand Analyzer's AI visibility composite (visibility 21, trust 22, recommendation 56). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: FOGALE official site
FOGALE was founded in 1983. FOGALE operates in the Technology category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
FOGALE is headquartered in Nîmes. FOGALE operates in the Technology category.
Sources: Wikidata
FOGALE develops and manufactures capacitive sensing systems for ultra-precise, durable measurement in extreme operating environments. The company engineers bespoke sensor solutions tailored to specific industrial challenges, rather than offering only standardized, off-the-shelf sensors, serving sectors like aerospace, energy, and robotics.
Sources: FOGALE official site
FOGALE scores 56/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Technology options. Recommendation depends on crawlability, structured data, and category authority.
Sources: FOGALE official site
FOGALE is known for its advanced capacitive sensing systems designed for extreme and demanding environments, including cryogenic, aerospace, and robotics applications. The company is recognized for its ability to engineer custom, ultra-precise, and durable measurement solutions rather than relying on standard, off-the-shelf sensor products.
Sources: FOGALE official site
FOGALE 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: FOGALE official site
FOGALE's systems are used by engineers, manufacturers, and technical decision-makers in industries such as aerospace, energy, robotics, and industrial manufacturing. These users typically require highly precise and reliable measurement systems capable of performing in extreme or demanding operating environments.
Sources: FOGALE official site
FOGALE's reputation stems from its specialized expertise in capacitive sensing technology and its ability to design bespoke measurement systems for extreme environments like cryogenics, aerospace, and robotics. This custom engineering capability differentiates it from generic sensor suppliers, making it a preferred choice for technical decision-makers requiring highly precise and reliable solutions for demanding applications.
Sources: FOGALE official site
FOGALE scores 30/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
FOGALE has a weak AI-visibility profile at 30/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (56/100) and its weakest is visibility (21/100). 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 31/100 and thin schema.org structured data. In a live check, Claude could already identify FOGALE from memory (September 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 FOGALE: focus.music (formerly Focus@Will) (77/100), FoamPro (77/100), FOMO Pay (77/100), Fontstand (77/100).
A step up - brands to learn from: Zymo Research (81/100), Zuppler (81/100).
Category leader: Hostinger (97/100).
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