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Read what customers actually say
Scrape hundreds of reviews per campaign, then let the AI group them by theme, buying motivation, and objection. The exact phrases customers use end up in your copy instead of marketing guesses.
- Reddit posts and full comment threads, by keyword or URL
- Google Maps business reviews, yours or a competitor's
- Trustpilot company reviews
- AI sentiment on every entry
- Grouped by motivation, value, and anxiety
- Recurring themes with example quotes and counts
- Campaigns organized per client
- Export themes into content briefs
How review mining works
From keyword to themes in four steps.
Create a campaign
Pick a source (Reddit, Google Maps, or Trustpilot) and enter the keywords, thread URLs, or business names to pull feedback for.
Scrape the reviews
RankNest collects the posts, comments, and reviews for you. A campaign's worth of feedback lands in minutes.
Let the AI sort it
Every entry gets tagged by sentiment, motivation (why they buy), value (what they want), and anxiety (what holds them back), then rolled up into recurring themes.
Use the language
Lift the phrases customers repeat into landing pages, FAQs, and ads. The strongest ones make good title-tag variants for your next SEO test.
Three sources, one workflow
Customer feedback from where customers actually talk.
Search subreddits by keyword or paste thread URLs. Unfiltered opinions, complaints, and comparisons, with the full comment threads included.
- Keyword search
- Thread URL scraping
- Comment threads included
- Upvote counts
Google Maps
Pull reviews for any business, yours or a competitor's. The 1-and-2-star reviews on a competitor's profile are a list of objections your pages can answer.
- Business search
- Bulk review extraction
- Star ratings
- Handles large review counts
Trustpilot
Company-level reviews with ratings and dates. Useful for products and services where customers write in detail.
- Company profiles
- Review text and ratings
- Date-based trends