AI Preference, Share of Voice, and graph actions are now clearer for agency teams.

What changed in the app

This public summary focuses on the improvements agencies can use in client work: competitive AI preference, target-specific visibility, prompt evidence, graph remediation, and reporting clarity.

• AI Preference audit launch now returns provider-level recommendation results, competitive win/loss context, prompt evidence, and trendable scores for agency reviews.
• Competitive head-to-head drilldowns show which competitors are preferred, what sources support the answer, and where a client needs stronger proof.
• Share of Voice and Share of Model views are target-aware: Global and each audited country are separated across overview cards, exports, trends, and competitor rankings.
• The Intelligence overview now explains AI Preference, LLM Perception, GEO, Web, Share of Voice, and graph drivers with clearer entry points for each audit type.
• Query Explorer is easier to inspect with audit grouping, provider context, prompt text, status, and cleaner drilldowns for client-facing evidence.
• Knowledge graph clusters are wider, labels are more readable, hover behavior is steadier, and export output better matches the visible graph.
• Graph actions now open as focused action details and create visible remediation state instead of leaving teams with passive diagnostic panels.
• Localized audit setup keeps market, country, language, buyer persona, competitor set, and prompt context attached to the analysis so reports match real client segments.
• Public marketing and in-app release surfaces now explain buyer value, product capability, and the business outcome behind each update.