What benchmarks or baselines are useful when evaluating AI search performance?
Scrunch recommends tracking brand presence, citations, referral traffic, AI agent traffic, and share of voice versus competitors as key performance indicators.
More infoHow can I see if my visibility in AI search is improving or declining over time?
Scrunch recommends monitoring AI search trend data like brand mentions and citations consistently over 2-3 week periods to identify real trends versus one-off changes.
More infoHow many prompts should I track for AI search?
Scrunch recommends estimating prompt tracking needs using the following formula: X [# of core topics] x Y [5-8 questions related to each topic] = Z [# of AI search prompts to track]. The primary goal is to get a representative sampling of data across all customer journey stages via a mix of branded and non-branded prompts.
More infoHow do I compare AI visibility across different models and platforms?
Scrunch recommends comparing AI visibility across different models and platforms by monitoring the same prompts across multiple AI platforms in aggregate, then filtering by platform to see where performance diverges.
More infoHow should I compare different answer engine optimization (AEO) tools?
Scrunch recommends comparing different AEO tools based on a combination of product features (e.g., model coverage, data filtering, ease of use, etc.) and vendor characteristics (e.g., industry experience, customer reviews, pricing options, etc.).
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