AI brand visibility monitoring with evidence tracking across ChatGPT, Perplexity, Gemini, and Google AI
AI visibility testing and product discovery through people, communities and content
Stage
Not given
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Founded
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Based in
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Pricing model
Paid
Paid
Pricing
Small Pack: $5 for 200 credits; Standard Pack: $19 for 1,000 credits; Power Pack: $49 for 3,000 credits. Credits never expire. New accounts receive 20 credits. AI visibility checks cost 1 credit per prompt.
GEO diagnosis report: ¥99 per report. Human AI testing: ¥5 per person per question. Custom human tasks and publishing priced based on regions, participants, complexity and sites. No subscription or credits required; direct payment per order.
Key features
AI Visibility Snapshot reports across ChatGPT, Perplexity, Gemini, and Google AI
Mention rate and citation source tracking
24-hour async report delivery
GEO toolkit with URL Review and Citation Check
Perplexity rank tracking
Page-level GEO fixes and optimization guidance
Deepening plan consultation for optimization prioritization
Visibility score and heatmap analysis
HTML source and plain-text page review options
API documentation and integration support
AI diagnosis reports showing how ChatGPT, Claude, Gemini and Perplexity mention and describe your product
Human AI testing with real people in different regions and platforms
Product trial coordination with NiubiStar's network of 150,000+ participants
Content distribution to communities, creators and publishers
Website publishing placement across selected sites
Open-source self-hosted testing technology
Dashboard tracking for orders, deliverables and execution records
What makes it different
Tracks brand visibility specifically in AI chat and search answers, not traditional search rankings
Provides evidence and proof of citations with stored prompts for review
One-time credit purchases that never expire, no subscription required
Founded by SEO/GEO expert with 10 years of search, AI, and cross-border product experience
Combines validation, optimization guidance, and system-level governance for different business stages
Combines AI testing with human execution and real product trials
Measures AI understanding across four major models simultaneously
Provides transparent evidence and source citations, not opaque scores
Open-source and self-hostable technology for complete data control
Tracks execution records and repeat engagements to measure impact