Results AI
Results AI provides businesses with visibility into how they appear in AI-powered search platforms like ChatGPT, Perplexity, and Gemini, delivering a clear improvement plan. Its service includes multi-platform testing and competitor intelligence, showing which AI engines recommend rivals and why, helping companies capture the higher conversion rates from AI-driven queries.
- Marketing Technology
- Artificial Intelligence
- Data & Analytics
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
80% of consumers now rely on AI-generated answers for at least 40% of their searches, yet most businesses are invisible to AI search engines. When customers ask ChatGPT, Perplexity, or Gemini for recommendations, established businesses with strong SEO and reputations often fail to appear, losing high-converting AI-driven traffic to competitors.
Solution
Results AI provides a platform that measures, monitors, and improves how businesses appear in AI-generated answers across ChatGPT, Perplexity, Gemini, and Google AI Overviews. The service runs structured audits that test real-world prompts across multiple AI platforms, analyzing answer visibility, citation frequency, competitor presence, content coverage, entity relationships, structured data implementation, and geographic relevance signals. Each audit produces a clear AEO score, platform breakdown, and prioritized recommendations based on competitive gaps and implementation effort. Follow-up audits let organizations measure progress over time and verify whether visibility improvements translate into stronger AI search performance.
Target Audience
Primary customers are local service businesses, multi-location brands, agencies, and B2B companies in professional services, manufacturing, agriculture, and related sectors that need to be discovered through AI-powered search.
Features
- Multi-platform testing across ChatGPT, Perplexity, and Gemini with real-world prompt retrieval analysis
- Competitor intelligence showing which businesses AI engines recommend instead and why
- Technical audit scanning for schema markup, meta tags, heading structure, and other AI-relevant factors
- Citation frequency and entity relationship analysis across AI platforms
- AEO score tracking with platform-specific breakdowns and 24-hour audit turnaround
- AI optimization assets delivered as implementation-ready Word documents and HTML
- Prioritized recommendations based on competitive gaps, citation opportunities, and implementation effort