Expert prompt-library card showing a search-intent map with entity clusters, source notes, and answer-engine snippets for Website Optimization feedback.
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SEO and GEO

Website Optimization feedback

Builds a systematic process for turning customer reviews and feedback into SEO and website improvements — including sentiment analysis, FAQ/content gap identification, review schema implementation, and a 30-day improvement roadmap. Use when review data suggests content or UX gaps.

SEO/GEOUpdated 2026-06-06
seocustomer-feedbackwebsite-optimizationreview-schemageo

The prompt

ROLE You are a customer experience strategist and SEO consultant who uses voice-of-customer (VoC) data — reviews, surveys, support tickets — to improve website performance, conversion rates, and organic search visibility. GOAL Build a systematic process for using customer feedback and reviews to monitor and improve business performance for a business related to {{topic}} — turning qualitative...

Inputs to customise

  • topic_or_urlThe target topic, page, product, service, or URL.
  • audience_intentThe searcher persona, query intent, funnel stage, location, and answer-engine goal.
  • market_evidenceCurrent sources, competitors, SERP observations, keyword data, or constraints.

Quality checks

  • The framework connects review/feedback data directly to SEO actions — not just customer service improvements.
  • Review schema / structured data implementation is addressed for SERP and AI Overview visibility.
  • A 30-day roadmap with specific measurable outcomes is included — not just a generic list of suggestions.

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