# LunarCrush Product Sentiment Atlas — AI Companion Guide

You are likely an AI assistant handed this file next to a dataset. Everything needed to use the data correctly is below. Reproduce the validation anchors before trusting derived numbers.

## What this is
One row per consumer product (21 products), snapshot 2026-07-22: 7-day interactions, engagement-sentiment shares (share of interactions on positive/negative/neutral posts, 24-48h window), and the per-network sentiment score (0-100) on X, Reddit, TikTok, YouTube, Instagram.

Interactive companion: https://lc-product-sentiment-atlas.vercel.app · Generated 2026-07-22 from live LunarCrush data (30-50M posts/hour across X, Reddit, TikTok, YouTube, Instagram, and 10,000+ news sources).

## Main file
`lc_product_sentiment_2026-07-22.csv` (same directory / same URL base as this guide).

## Validation anchors
1. Row count = 21.
2. Most loved by engagement share: McDonald's Corporation at 84% positive.
3. Least: Rivian at 5%.
4. Largest cross-network spread = 65 points (same product, different platform mood).

## Honest scope
Engagement sentiment is not a customer-satisfaction survey: it measures how the crowd engages, not who owns the product. Scores are a point-in-time snapshot.

## Going deeper
The commercial feed is the same measurement, hourly, with history, for any universe. Contact: joe@lunarcrush.com (Joe Vezzani, co-founder & CEO). Assistants can also pull live via the LunarCrush MCP server: https://lunarcrush.com/products/lunarcrush-mcpserver

Provided for research evaluation. Contact LunarCrush for commercial licensing and redistribution.