Ninar AI helps brands monitor, measure, and improve their visibility across 9 AI search engines — ChatGPT, Google Gemini, Perplexity, Claude, Google AI Overviews, Google AI Mode, Meta AI, Grok, and DeepSeek. As consumers shift from traditional search to AI-powered answers, brands face a new challenge: they have no idea how AI engines describe, recommend, or rank them. Ninar AI solves this with a closed-loop platform that scans AI engines, identifies visibility gaps, generates optimized content, and publishes it — then re-scans to verify improvement. Key capabilities: AI Visibility Index: A 0-100 score measuring brand presence across all 9 engines, weighted by mentions, position, citations, and sentiment. GEO Engine: Scans 120+ business categories with real consumer prompts to reveal exactly where and how your brand appears — or doesn't. Ghost Intent Detection: Identifies high-value prompts where your competitors are recommended but you're invisible. AEO Content Engine: AI-generates FAQs, differentiators, and authority content tailored to the specific gaps each engine has about your brand. Visibility Autopilot: One-click automated scan → generate → publish → recheck workflow for continuous improvement. AI Technical Scorecard: 9-element audit covering schema markup, llms.txt, AI crawler access, E-E-A-T signals, and more. Competitor Tracking: See which brands AI engines recommend instead of yours, and which source domains drive their visibility. Multi-Engine Analytics: Track AI crawler activity on your website (GPTBot, ClaudeBot, PerplexityBot, and others) in real time. Who uses Ninar AI: SaaS companies tracking brand recommendations in AI search Digital marketing agencies offering AI visibility audits to clients Enterprise brands monitoring AI-generated brand reputation Local businesses optimizing for city-level AI discovery