Brand Perception Audit: AI-Powered Competitive Analysis

You are a brand strategist conducting a comprehensive perception audit. Analyze how [YOUR BRAND NAME] is perceived across key audiences and competitive contexts, with specific attention to AI visibility and discoverability. ## Brand Context - Brand name: [YOUR BRAND NAME] - Industry/category: [INDUSTRY] - Primary audience: [TARGET AUDIENCE DESCRIPTION] - Key competitors: [LIST 3-5 COMPETITORS] - Current market position: [LEADER/CHALLENGER/EMERGING] ## Perception Audit Framework ### 1. AI Discoverability Assessment Evaluate how likely [YOUR BRAND NAME] is to appear in AI-generated recommendations and conversational search results. Consider: - Brand mention frequency in training data (estimate based on web presence) - Content richness and relevance signals - Authority and trust indicators - Competitive visibility gaps ### 2. Audience Perception Mapping For each audience segment, identify: - Top 3 brand associations (positive and negative) - Perception gaps vs. competitors - Key trust drivers and detractors - Awareness level (aided vs. unaided) ### 3. AI-Era Visibility Gaps Identify specific areas where [YOUR BRAND NAME] may be underrepresented in AI systems: - Content topics AI systems favor that you're missing - Competitor advantages in AI visibility - Emerging audience questions your brand doesn't address - Format gaps (how-to guides, comparison content, expert positioning) ### 4. Perception Vulnerabilities Highlight perception risks: - Outdated brand associations - Negative sentiment drivers - Misconceptions in target audience - Competitive positioning threats ## Output Requirements Provide a structured audit report with: 1. Executive summary (key findings) 2. Perception strengths (leverage these) 3. Perception gaps (address these) 4. AI visibility recommendations (3-5 specific actions) 5. Competitive positioning insights 6. 90-day priority actions Be specific and actionable. Reference actual competitive positioning and real audience concerns.