Nudgent is a conversion optimization platform that audits websites for friction points affecting both human visitors and AI agents. It provides dual-plane scoring, root-cause analysis, and ranked fixes, with re-audits that track improvements over time. The platform uses 130+ behavioral frameworks and 56 industry benchmarks to deliver actionable insights.
Funding
Funding not disclosed
Founders
Product
Problem
Websites often contain hidden friction points that cause visitors to leave before converting, but standard analytics tools only show where users drop off, not why. Additionally, AI agents increasingly browse and evaluate websites, yet most optimization tools ignore this growing audience, leaving sites invisible to automated traffic.
Solution
Nudgent provides a dual-plane audit platform that analyzes websites from two perspectives: human users and AI agents. It identifies an average of 11 friction points per page, ranks fixes by estimated impact, and explains the root cause of each issue rather than just the symptom. The platform uses 130+ behavioral frameworks and 56 industry benchmarks to score pages across seven dimensions, including trust and verifiability. Each audit generates a project profile that tracks what improvements were implemented, so re-audits confirm what landed and recommend the next batch of fixes in context.
Target Audience
Primary customers are conversion optimization specialists, product managers, and growth marketers at SaaS and e-commerce companies who need to improve website conversion rates and ensure visibility to AI-driven traffic.
Features
- Dual-plane scoring that evaluates both human user experience and AI agent accessibility in a single audit
- Root-cause analysis that explains why users drop off, not just where they click
- Project profile system that remembers previous fixes and adjusts recommendations on re-audits
- 130+ behavioral frameworks and 56 industry benchmarks for scoring across seven dimensions
- Ranked improvement list with estimated impact percentages for each fix
- Page complexity detection that right-sizes the number of fixes recommended per audit
- AI agent-specific recommendations, such as adding Product and Offer schema for better agent extraction