LiveMentions - 2026 Pricing, Features, Reviews & Alternatives

LiveMentions is an AI brand visibility monitoring platform that tracks and analyzes how brands appear in responses generated by AI search engines and conversational assistants. The software runs buyer-style queries on a recurring schedule to capture full AI-generated answers and determine when, where and how brands are referenced. The platform is designed for marketing teams, SEO professionals, agencies and content teams that require visibility into AI-based recommendations as buyers increasingly rely on AI assistants for product comparisons and purchasing decisions.

Multi-dimensional visibility tracking includes core modules that address distinct aspects of AI brand presence. The AI Visibility module monitors the frequency of brand appearances in responses triggered by configured prompts and calculates a visibility score to assess consistent presence in buyer queries. The GEO Insights module analyzes brand positioning within AI answers to identify primary recommendations, comparison entries, neutral references and passing mentions. Framing distribution metrics quantify how AI narratives shape audience perception. The Brand Context module permits loading formal brand information such as founding date, pricing structure and restricted claims and then compares this data against recent AI answers to flag contradictions.

The Optimize module executes a ten-step audit across seven pillars including trust signals, technical access, listing presence and community engagement. Recommendations are ranked by projected impact, confidence and effort to form a prioritized action plan. Competitor tracking enables monitoring of competing brands across the same prompt set to detect shifts in coverage and positioning. Citation analysis identifies sources that influence how AI discusses a brand and its category by distinguishing direct citations from indirect influences.

An in-dashboard assistant answers queries about visibility data and platform functionality. Integration capabilities include a model context protocol server that connects with AI tools such as Claude, Cursor and workflow platforms to enable custom processes with visibility data. The platform operates as a software-as-a-service solution accessible through a web-based dashboard and supported by documentation, video walkthroughs, a help center, a changelog and a public product roadmap. Initial setup completes in under two minutes and all data collection and analysis proceed automatically after configuration.