Sentiment analysis:
- New analyze_review_sentiment_ai() method in GBPAuditService
- Uses Gemini to analyze review text content (not just ratings)
- Extracts themes, strengths, weaknesses, sentiment score (-1 to 1)
- Review sentiment data passed to GBP AI prompt
Competitor benchmarking:
- New benchmark_service.py with BenchmarkService class
- Calculates category averages across all 150 firms (GBP, SEO, Social)
- Metrics: completeness scores, ratings, reviews, photos, PageSpeed,
load time, follower counts, platform coverage
- Benchmark data injected into all 3 AI prompts (SEO, GBP, Social)
- Excluded from cache hash to avoid unnecessary invalidation
All 4 phases of audit completeness plan now implemented.
Estimated completeness: 52% → ~93%
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
