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Beyond Traditional SEO Metrics
Rankings and organic traffic don't capture AI search visibility. A brand can rank #3 organically while a competitor dominates AI-generated answers for the same query. New metrics needed: brand mention rate in AI responses, citation share, description accuracy, and competitive share-of-answer across prompt libraries.
Building a Prompt Library
Define 50-200 prompts aligned with your buyer journey: category queries ('best CRM for startups'), comparison queries ('Brand A vs Brand B'), problem-aware queries ('how to reduce churn'), and brand queries ('what is [brand]'). Test consistently across ChatGPT, Perplexity, Google AI, and Bing Copilot monthly.
Share-of-Answer Calculation
For each prompt set, calculate: (prompts mentioning your brand / total prompts) × 100 = mention rate. Compare against top 3 competitors on the same prompts. Track trend direction month-over-month. Segment by platform, query type, and funnel stage to identify specific gaps.
Sentiment and Accuracy Tracking
Log not just whether you're mentioned but how: recommended first, listed among alternatives, or mentioned with caveats. Flag inaccurate descriptions (wrong pricing, outdated features) for source content corrections. Sentiment analysis on AI-generated brand descriptions reveals reputation issues affecting visibility.
Reporting Framework
Executive dashboard: overall share-of-answer trend, competitive position, top gained/lost queries, platform breakdown. Operational dashboard: page-level citability scores, content refresh priorities, entity health indicators. Connect AI visibility improvements to branded search volume and pipeline metrics where attribution allows.