Recycling together, better for all of us
Bebat (bebat.be) scores 79 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Energy & Utilities brands, Non-profit brands, Manufacturing brands, in the 70th percentile of 8765 Energy & Utilities brands.
Bebat is a Belgian non-profit organization dedicated to the collection, sorting, and recycling of used batteries. Operating for over 30 years, it works with households, schools, and recycling centres across Belgium to ensure batteries are responsibly reused rather than discarded. Bebat collaborates with battery producers and importers to maintain an accessible, nationwide collection network, positioning itself as the trusted leader in battery recycling and sustainability efforts in Belgium.
| Brand Name | Bebat |
|---|---|
| Domain | bebat.be |
| Industry | Energy & Utilities, Non-profit |
| Main Competitors | Call2Recycle (81/100), Stibat, Corepile (75/100), GRS Batterien, Recupel (75/100), European Recycling Platform (ERP) (82/100) |
Moz Domain Authority 46/100 vs category average 38 / leader 92 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #1,195,143 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 "Bebat wants to give all used batteries a new life together with you. How do we do that, and how can you help? You will discover that here." (Meta description: 28 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: og:title, og:description, 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: Next.js, Apache, HubSpot.
Social footprint: verified profiles on Facebook, Instagram, LinkedIn, X (Twitter), YouTube, 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 Bebat?", Claude could identify the brand as of October 2026. Bebat is the Belgian non-profit organization responsible for the collection and recycling of used batteries and accumulators across Belgium, operating a nationwide network of collection points in stores, schools, and public spaces. Best known for Organizing battery collection and recycling in Belgium through widespread public collection points.
When asked "Best brands similar to Bebat?", Claude would recommend Bebat as of October 2026. I'd mention it if someone asked about battery recycling or waste management schemes specifically in Belgium, though it's less relevant for a broader 'Energy & Utilities' comparison since it's a recycling body rather than an energy provider.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Bebat's main competitors in Energy & Utilities: Call2Recycle (81/100), Corepile (75/100), Recupel (75/100), European Recycling Platform (ERP) (82/100).
Sources: Brand Analyzer scan
Bebat offers battery collection, sorting, and recycling services. It provides collection points for used batteries in homes, schools, and recycling centres, and works with battery producers and importers to manage the full lifecycle of battery disposal and material recovery.
Sources: Bebat official site
Bebat is a Belgian non-profit organization specializing in battery recycling. It manages the collection, sorting, and recycling of used batteries across Belgium, working with households, schools, recycling centres, and battery producers to ensure responsible reuse of battery materials.
Sources: Bebat official site
Bebat has limited AI-search visibility, scoring 34/100 on Brand Analyzer's AI visibility composite (visibility 23, trust 26, recommendation 64). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Bebat official site
Bebat collects used batteries from the public, schools, and organizations throughout Belgium, then sorts and processes them for recycling. It coordinates a nationwide collection infrastructure and partners with battery producers and importers to ensure batteries are properly reused and not discarded as waste.
Sources: Bebat official site
Bebat scores 64/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Energy & Utilities options. Recommendation depends on crawlability, structured data, and category authority.
Sources: Bebat official site
Bebat is known for being Belgium's established battery collection and recycling system, with over 30 years of experience engaging households, schools, and recycling centres in responsible battery disposal.
Sources: Bebat official site
Bebat 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: Bebat official site
Bebat's services are used by individuals and families, schools, and organizations in Belgium who need to dispose of used batteries responsibly, as well as battery producers and importers who participate in its collection and recycling system.
Sources: Bebat official site
Bebat scores 34/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Bebat has a weak AI-visibility profile at 34/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (64/100) and its weakest is visibility (23/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #1,195,143 (Tranco) and a Moz Domain Authority of 46/100. The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, thin schema.org structured data and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify Bebat 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 Bebat: BEAMA (79/100), BDR Thermea (79/100), Bender (79/100), BFRC (79/100).
A step up - brands to learn from: ZeroNorth (81/100), ZERO (81/100).
Category leader: Electrek (96/100).
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