social-listening

[YOUR_PRODUCT] Context

Before helping, check MEMORY.md for: brand name, competitors, ICP pain phrases. Follow output preferences from USER.md. For chat platforms: bullet-point summary of key findings, not raw data.

Social Listening

Track brand mentions, competitor activity, and industry conversations across the web and social media.

Workflow

Step 1: Web Mentions (Exa)

Search for mentions across blogs, forums, news:

orth run exa /search -d '{"query": "SEARCH_QUERY", "numResults": 20, "contents": {"text": true}}'

Query examples:

• Brand monitoring: "[YOUR_PRODUCT] reviews feedback 2026"
• Competitor tracking: "[COMPETITOR_A] [PAIN_KEYWORDS]"
• Pain signals: "[PAIN_KEYWORDS your buyers complain about]"
• Industry trends: "[YOUR_CATEGORY] enterprise adoption 2026"

Step 2: Twitter/X Activity (Scrape Creators)

Monitor a company or person's tweets:

orth run scrapecreators /v1/twitter/user-tweets -q handle=TARGET_HANDLE

Search Twitter for mentions:

orth run scrapecreators /v1/twitter/search -q query=SEARCH_TERM

Step 3: LinkedIn Activity (Scrape Creators)

Get company page data:

orth run scrapecreators /v1/linkedin/company -q url=https://linkedin.com/company/COMPANY

Step 4: Extract Insights (ScrapeGraph)

For deep analysis of a specific page found in Steps 1-3:

orth run scrapegraph /v1/smartscraper -d '{"website_url": "URL_FROM_RESULTS", "user_prompt": "Extract sentiment, key complaints, praise, and feature requests about the product"}'

Output Format

Monitoring: [what was searched]

Key findings:
- [finding 1 with source]
- [finding 2 with source]
- [finding 3 with source]

Sentiment: [positive/negative/mixed]

Action items:
- [what to do based on findings]

Monitoring Playbooks

Brand Monitoring

1. Exa search: "BRAND_NAME reviews feedback"
2. Twitter search: brand mentions
3. Summarize sentiment + key themes

Competitor Watch

1. Exa search: "COMPETITOR launch announcement funding"
2. Twitter: competitor handle tweets
3. Analyze what they're shipping and saying

Pain Signal Detection

1. Exa search: ICP pain phrases from MEMORY.md
2. Twitter search: problem-related keywords
3. Identify potential outbound targets

Buyer Language Mining

1. Exa search: "switched from X to Y" OR "looking for alternative to X"
2. Extract exact phrases buyers use
3. Feed into positioning-messaging and cold-email skills

Tips

• Include year in Exa queries for fresh results (e.g., "2026")
• Use Exa contents.text: true to get actual content, not just links
• Scrape Creators for social, Exa for web — use both for full picture
• Track consistently — set up periodic monitoring, not one-off searches

Related Skills

• signal-scanner — automated buying signal detection (uses social-listening as data source)
• competitor-research — structured competitive analysis with pricing/team
• content-strategy — plan content based on listening findings
• cold-email — write outreach based on pain signals discovered
• exa-company-research — deeper web research on specific companies
• exa-x-search — X/Twitter search via Exa