
AI visibility and marketing reporting platform that tracks how answer engines describe a brand and automates white-label reports.
CrunchJunkie is an AI visibility tracking and marketing reporting platform for agencies and marketing teams. It runs scheduled prompts across ten answer engines, measures brand visibility, sentiment, position and share of voice, connects AI-referred sessions and revenue from GA4, and packages the results into client-ready white-label reports. It also turns AI visibility gaps into content briefs grounded in the fanout queries and cited sources behind AI answers.
Product overview
CrunchJunkie combines AI visibility monitoring with agency-style marketing reporting. Its distinctive angle is tying what multiple answer engines say about a brand to defensible measurement details, cited answer evidence, GA4 outcomes and white-label client reports.
Information as of October 20, 2026
Tracks prompts on a schedule across ten answer engines, including ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, Google AI Mode, Microsoft Copilot, Grok, DeepSeek and Meta AI.[1]
Reports visibility with sample size and margin of error, and lets users inspect the answers behind each figure.[1]
Measures visibility, sentiment, position and share of voice, maps brand attributes against competitors, and shows where competitors are recommended instead.[1]
Shows the sub-searches answer engines run before responding, which domains are cited, and where the brand or competitors appear in those sources.[1]
Connects AI visibility with sessions, conversions and revenue that AI assistants send, using GA4 data.[1]
Turns quantified visibility gaps into content briefs based on fanout queries, cited competitor pages, statistics and schema observed in AI answers.[1]
Produces client-ready white-label reports that include AI visibility alongside channels such as Google Ads, Meta and GA4.[1]
62/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
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