Pricing
from $400.00 / 1,000 per 100 reviews
AI Review Intelligence
Turns customer reviews into a prioritized, manager-ready action plan: sentiment, recurring themes, top complaints & praises, competitor gaps, and an executive summary. Connect any review-scraper output and get decisions, not just rows.
Pricing
from $400.00 / 1,000 per 100 reviews
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AI Review Intelligence β From Reviews to an Action Plan
Turns hundreds of customer reviews into a manager-ready action plan in seconds. It doesn't just tell you what customers think β it tells you what to do about it: prioritized steps, quick wins, and the single critical move to make this week.
What it does
Connect the output of a review-scraper (Google Maps, Trustpilot, Amazon, App Store) or your own review list, and the actor produces:
- Overall sentiment + star-rating distribution
- Recurring themes (frequency + positive/negative)
- Top complaints and praises
- π― Action plan β prioritized, concrete steps (each with benefit/cost + expected gain)
- β‘ Quick wins β low-effort, high-impact moves
- The single critical step for this week
- Competitor opportunities + a short executive summary
Why it's different
Most review tools just hand you a raw sentiment score. This actor behaves like a consultant who makes decisions: it links every finding to an actionable step. Managers don't read the report and ask "so what do I do?" β the plan is already in their hands.
Input
| Field | Description |
|---|---|
reviews | The review list: plain strings OR {text, rating} objects. A review-scraper dataset can be connected directly. |
businessName | Business name (used as report context) |
language | Output language of the analysis content: English / TΓΌrkΓ§e / Deutsch / EspaΓ±ol / FranΓ§ais |
model | (Advanced) LLM model β the default is fast and economical |
Output
Delivered in two layers:
- Dataset (table): Prioritized action plan rows β columns:
PriorityΒ·Issue / AreaΒ·Risk of InactionΒ·Risk LevelΒ·BenefitΒ·CostΒ·Benefit/CostΒ·ScoreΒ·Recommended Action. Scan, sort, and export directly. - Report (key-value store β
MANAGER_REPORT): Full narrative + machine-readable data with English keys:overall_sentimentΒ·themesΒ·top_complaintsΒ·top_praisesΒ·competitor_opportunitiesΒ·critical_stepΒ·quick_winsΒ·executive_summaryΒ·rating_distributionΒ·review_countΒ·all_actions(including more than what is shown in the main table).
How to use
- Collect your reviews with a review-scraper (or paste in your own list).
- Connect the output to this actor as
reviews. - Set the business name and language β Start.
- Grab your action plan from the Dataset tab.
Pricing (Pay-Per-Event)
You only pay for what you use: per run + per 100 reviews processed + per generated report. No monthly subscription.
