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ZebraIQ (zbra.app) scores 63 out of 100 on Brand Analyzer, placing it in the Developing tier among Technology brands, SaaS brands, in the 10th percentile of 49801 Technology brands.
ZebraIQ (zbra.app) is an Indonesian technology company operating in the SaaS space. Its stated mission is to empower users with intelligent, data-driven tools that simplify decision-making. The company positions itself as a technology-driven platform offering smart, data-oriented digital solutions, likely aimed at businesses or individuals seeking AI-powered tools. Beyond these general statements, detailed information about specific products, leadership, founding date, or headquarters location is not available from current public sources.
| Brand Name | ZebraIQ |
|---|---|
| Domain | zbra.app |
| Industry | Technology, SaaS |
| Headquarters | Indonesia |
| Main Competitors | Tableau (60/100), Microsoft Power BI, Qlik (94/100), Looker (81/100), Mixpanel (97/100) |
Moz Domain Authority 6/100 vs category average 39 / 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 "To empower users with intelligent, data-driven tools that simplify decision-making." (No meta description) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: No structured data or Open Graph tags detected. 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: Cloudflare.
Social footprint: verified profiles on X (Twitter), LinkedIn, Facebook, Instagram, 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 ZebraIQ?", Claude could not identify the brand as of October 2026. I don't genuinely recognize ZebraIQ or its site zbra.app, which likely means it's a small, new, or niche company without much presence in my training data.
When asked "Best brands similar to ZebraIQ?", Claude would not surface ZebraIQ as of October 2026. I can't recommend a company I have no verified information about, since I'd risk fabricating details.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
ZebraIQ's main competitors in Technology: Tableau (60/100), Qlik (94/100), Looker (81/100), Mixpanel (97/100).
Sources: Brand Analyzer scan
ZebraIQ has limited AI-search visibility, scoring 25/100 on Brand Analyzer's AI visibility composite (visibility 21, trust 7, recommendation 53). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: ZebraIQ official site
ZebraIQ scores 53/100 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: ZebraIQ official site
ZebraIQ 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: ZebraIQ official site
ZebraIQ scores 25/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
ZebraIQ has a weak AI-visibility profile at 25/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (53/100) and its weakest is trust (7/100). 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 6/100 and thin schema.org structured data. In a live check (October 2026), Claude could not identify ZebraIQ 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 ZebraIQ: DDoS-Guard (63/100), YES Technologies (63/100), Yang Zhang Lab (63/100), Zoommer.ge (63/100).
A step up - brands to learn from: Zypp Electric (71/100), 作业帮 (Zuoyebang) (71/100).
Category leader: Hostinger (97/100).
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