competitive-intel

Compare brands across Twitter and Reddit using share of voice, sentiment, and engagement metrics.

15|3|Updated Feb 23, 2026
One-click install
npx skills add https://github.com/XPOZpublic/xpoz-agent-skills --skill competitive-intel-xpozpublic
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: competitive-intel
Source: https://github.com/XPOZpublic/xpoz-agent-skills/tree/main/skills/competitive-intel
Command: npx skills add https://github.com/XPOZpublic/xpoz-agent-skills --skill competitive-intel-xpozpublic

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires xpoz, @xpoz/xpoz.

What problem does it solve? Manually tracking how your brand stacks up against competitors on social media requires hours of searching, counting mentions, and reading posts across multiple platforms. This Skill automates multi-brand comparison by fetching posts from Twitter/X and Reddit via Xpoz and computing share of voice, sentiment, and engagement side by side. ## Core Features & Use Cases - Share of Voice Calculation: Measures each brand's percentage of total mentions across Twitter and Reddit for a given period. - Sentiment & Engagement Comparison: Classifies posts as positive, neutral, or negative and compares likes, comments, Reddit scores, and impressions per brand. - Positioning & Audience Overlap Analysis: Identifies what users praise or criticize about each brand, detects users discussing multiple brands, and surfaces switching signals. - Use Case: Ask "Compare Slack vs Discord vs Teams sentiment" and receive a structured report with SOV tables, sentiment trends, key strengths and weaknesses per brand, and actionable recommendations. ## Quick Start Ask your agent to compare your brand against two or three competitors on Twitter and Reddit over the past week, for example: "Compare Figma vs Sketch vs Adobe XD share of voice and sentiment."

Frequently Asked Questions about competitive-intel

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I compare brand sentiment on Twitter and Reddit?

Use keyword searches per brand via the Xpoz API to fetch Twitter and Reddit posts, then classify each post as positive, neutral, or negative. The Skill computes sentiment scores, positive/negative ratios, and trends for each brand in a comparison table.

How to calculate share of voice on social media?

Share of voice equals one brand's mention count divided by total mentions across all compared brands, multiplied by 100. The Skill calculates SOV separately for Twitter and Reddit using post counts returned by Xpoz keyword searches.

What do I need to access Twitter and Reddit data with Xpoz?

You need a free Xpoz access key from xpoz.ai, supporting up to 75K results. Connect via MCP with OAuth, or set the XPOZ_API_KEY environment variable for the Python or TypeScript SDK.

Why do brand keyword searches return irrelevant posts?

Common words like "Slack" or "Discord" match unrelated contexts. The Skill builds expanded queries with exclusions, such as "Slack" NOT "cut some slack", to filter false positives before analysis.

How many brands can I compare in one competitive analysis?

The Skill supports 2 to 5 brands per comparison. For larger comparisons of five or more brands, it recommends exporting results to CSV and analyzing locally with pandas or Excel.