Skip to content

Social Proof Collector

Example prompt: "Search Twitter and Reddit for positive mentions of GloriaMundo each week. Pull the best quotes, format them as testimonials with attribution, and add them to our social proof Google Sheet."

How to automate social proof collection with GloriaMundo

The Problem

Happy customers say great things about your product on social media, in forum threads, and in community discussions — but those mentions are scattered and ephemeral. By the time someone on the marketing team spots a glowing tweet or a helpful Reddit comment, it has already scrolled past. Collecting these organically positive mentions for use on landing pages, pitch decks, and sales materials is a task that everyone agrees is valuable but nobody has time to do consistently. The result is a testimonials page that is either empty or full of quotes from two years ago.

How GloriaMundo Solves It

We build a scheduled workflow that runs weekly. Twitter search and web search steps scan for recent mentions of your brand, product name, or relevant keywords. An LLM step reads each mention in context and filters for genuinely positive ones — not just neutral references, but comments where someone is praising a feature, sharing a result, or recommending your product. The step extracts a clean quote, notes the author and platform, and assigns a quality score. Before any quote is formatted as a testimonial, a preliminary compliance screening step checks the source platform's public terms and the author's visible reuse preferences, and records screening notes (platform, apparent licence terms, attribution requirements, and date checked) alongside each quote. This is automated screening, not legal clearance — every quote is routed to a human reviewer before it can be used externally, and we recommend consulting legal counsel for your specific reuse policies. Quotes that do not pass preliminary screening are flagged for review rather than automatically published. The screened quotes are formatted as testimonial entries and appended to a Google Sheet with their screening notes. A Slack notification lets the marketing team know new social proof has been collected and is ready for review. Glass Box preview shows you the raw mentions, which ones were selected, and the preliminary screening status and notes for each quote before anything is saved.

Example Workflow Steps

  1. Trigger (scheduled): Runs every Friday at 10:00 AM.
  2. Step 1 (twitter_search): Search Twitter for positive mentions of your brand and product.
  3. Step 2 (web_search): Search Reddit, forums, and review sites for favourable discussions.
  4. Step 3 (LLM): Filter for genuinely positive mentions. Extract clean quotes, note the author and platform, and score each by quality and specificity.
  5. Step 4 (code): Deduplicate against previously collected quotes using the existing sheet data.
  6. Step 5 (preliminary compliance screening): Screen each quote against the source platform's public terms and the author's visible reuse preferences. Record preliminary screening notes (platform, apparent licence terms, attribution requirements, date checked). This is not legal clearance — all quotes are routed to a human reviewer before external use.
  7. Step 6 (integration): Append screened testimonial entries to the social proof Google Sheet with quote, author, platform, date, link, and screening notes. Quotes requiring further review are added to a separate review tab.
  8. Step 7 (integration): Send a Slack notification to #marketing with a count of new quotes collected, how many passed preliminary screening, and a link to the sheet.

Integrations Used

  • Google Sheets — stores the curated testimonial library with attribution and source links
  • Slack — notifies the marketing team when new social proof has been collected

Who This Is For

Marketing teams, growth leads, and founders who know that authentic customer voices are their best sales tool but struggle to collect them consistently. Particularly valuable for B2B products where a single strong testimonial can influence a purchasing decision.

Time & Cost Saved

Manually searching for positive mentions across Twitter, Reddit, and forums takes 30-60 minutes per session, and most teams do it sporadically at best. This workflow runs every week and builds a growing library of authentic social proof automatically. Over a quarter, a marketing team accumulates a curated testimonial archive without spending any manual time on collection — saving roughly 2-4 hours per month and ensuring no great quote goes unnoticed. The workflow uses search, LLM, code, and integration steps, costing a few credits per weekly run.