Hunter Develops New Approach To Strengthen Brand Visibility In AI Answers
The effort comes as more categories are seeing AI tools influence recommendations and purchase decisions, particularly in CPG, retail, beauty, food and beverage, health, travel and finance. Hunter says the approach is designed to give brands a clearer view of whether they are being surfaced or cited in these environments and what steps could strengthen their position.
The process organizes the work into five steps - Hunt, Highlight, Hook, Halo and Hold - covering visibility audits, content structure updates and tools for improving how press materials and brand sites are interpreted by AI systems. Early outputs include trust-graph reports and recommendations for schema and site updates; longer-term work focuses on tracking citation share and answer visibility over time.
The framework incorporates data and technology from partners including Scrunch, Muck Rack, Meltwater's Mira Studio, Marketing Cloud and LLMtel, which provide query intelligence, editorial insights, site-crawl analysis and alerts when brand messages fail to register with AI systems.
“Agents are the new personal shoppers for information,” said Michael Lamp, Hunter's chief digital and social officer, who said the aim is to help brands show up more reliably when consumers turn to AI for guidance.
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