// Mine the highest-converting ad angles from customer reviews, Reddit complaints, support tickets, and competitor ads. Extracts actual pain language, competitor weaknesses, and outcome phrases that real buyers use. Outputs a ranked angle bank with proof quotes and recommended ad formats per angle.
Search LinkedIn posts by keywords using Crustdata API directly, deduplicate and sort by engagement. Outputs to CSV or JSON. Use when researching LinkedIn content around specific topics.
Crawl a website's sitemap and blog index to build a complete content inventory. Lists every page with URL, title, publish date, content type, and topic cluster. Groups content by category and topic. Optionally deep-reads top N pages for quality analysis and funnel stage tagging. Use before SEO audits, content gap analysis, or brand voice extraction.
Scrape competitor ads from Meta and Google ad libraries, cluster by hook/angle/format, and surface new creative directions your team hasn't tested. Chains meta-ad-scraper and google-ad-scraper. Use when a marketing team wants to understand the competitive ad landscape before launching a campaign, or wants fresh creative inspiration from what's already working in the market.
Analyze the message match between your ads and landing pages. Checks if the promise in the ad copy carries through to the landing page headline, body, and CTA. Flags disconnects that kill conversion rates. Works with Google, Meta, and LinkedIn ads.
Research a specific competitor across their website, reviews, ads, social presence, and pricing — then produce a structured sales battlecard with positioning traps, objection handlers, landmine questions, and win/loss themes. Chains web research, review mining, and ad intelligence. Use when sales needs competitive ammo or when entering a new market with established incumbents.
End-to-end champion/buyer/user job change signal composite. Takes a set of known people (past buyers, champions, power users), detects when they move to a new company, researches the new company for ICP fit, and drafts personalized outreach leveraging the existing relationship. Tool-agnostic — works with any people source, detection method, and outreach platform.
| name | ad-angle-miner |
| description | Mine the highest-converting ad angles from customer reviews, Reddit complaints, support tickets, and competitor ads. Extracts actual pain language, competitor weaknesses, and outcome phrases that real buyers use. Outputs a ranked angle bank with proof quotes and recommended ad formats per angle. |
| tags | ["ads"] |
Dig through customer voice data — reviews, Reddit, support tickets, competitor ads — to extract the specific language, pain points, and outcome desires that make ads convert. The output is an angle bank your team can pull from for any campaign.
Core principle: The best ad angles aren't invented in a brainstorm. They're extracted from what real people are already saying. This skill finds those angles and ranks them by strength of evidence.
Run review-scraper for your product and each competitor:
python3 skills/review-scraper/scripts/scrape_reviews.py \
--product "<product_name>" \
--platforms g2,capterra \
--output json
Focus on:
Run reddit-scraper for relevant subreddits:
python3 skills/reddit-scraper/scripts/scrape_reddit.py \
--query "<product category> OR <competitor> OR <pain keyword>" \
--subreddits "<relevant_subreddits>" \
--sort relevance \
--time month \
--limit 50
Extract:
Run twitter-scraper:
python3 skills/twitter-scraper/scripts/scrape_twitter.py \
--query "<competitor> (frustrating OR broken OR hate OR love OR switched)" \
--max-results 50
Run ad-creative-intelligence to see what angles competitors are currently using. This reveals:
If the user provides support tickets, NPS comments, or sales call transcripts — ingest and tag with the same framework below.
Process all collected data through this extraction framework:
| Category | What to Look For | Ad Power |
|---|---|---|
| Pain angles | Specific frustrations with status quo or competitors | High — pain motivates action |
| Outcome angles | Desired results buyers describe in their own words | High — positive aspiration |
| Identity angles | How buyers describe themselves or want to be seen | Medium — emotional resonance |
| Fear angles | Risks of NOT switching or acting | Medium — loss aversion |
| Competitive displacement | Specific reasons people switched from a competitor | Very high — direct comparison |
| Social proof angles | Outcomes or metrics buyers cite in reviews | High — credibility |
| Contrast angles | Before/after or old way/new way framings | High — clear value prop |
Score each angle on:
| Factor | Weight | Description |
|---|---|---|
| Evidence strength | 30% | Number of independent sources mentioning it |
| Emotional intensity | 25% | How strongly people feel about this (language intensity) |
| Competitive differentiation | 20% | Does this set you apart, or could any competitor claim it? |
| ICP relevance | 15% | How closely does this match the target buyer's world? |
| Freshness | 10% | Is this angle already overused in competitor ads? |
Total score out of 100. Rank all angles.
# Ad Angle Bank — [Product Name] — [DATE]
Sources mined: [list]
Total angles extracted: [N]
Top-tier angles (score 70+): [N]
---
## Tier 1: Highest-Conviction Angles (Score 70+)
### Angle 1: [One-sentence angle]
- **Category:** [Pain / Outcome / Identity / Fear / Displacement / Proof / Contrast]
- **Score:** [X/100]
- **Emotional register:** [Frustration / Aspiration / etc.]
- **Proof quotes:**
> "[Verbatim quote 1]" — [Source: G2 review / Reddit / etc.]
> "[Verbatim quote 2]" — [Source]
> "[Verbatim quote 3]" — [Source]
- **Source count:** [N] independent mentions
- **Competitor weakness exploited:** [Competitor name + specific gap, or "N/A"]
- **Recommended formats:** [Search ad headline / Meta static / Video hook / etc.]
- **Sample headline:** "[Draft headline using this angle]"
- **Sample body copy:** "[Draft 1-2 sentence body]"
### Angle 2: ...
---
## Tier 2: Worth Testing (Score 50-69)
[Same format, briefer]
---
## Tier 3: Emerging / Low-Evidence (Score < 50)
[Brief list — angles with potential but insufficient evidence]
---
## Competitive Angle Map
| Angle | Your Product | [Comp A] | [Comp B] | [Comp C] |
|-------|-------------|----------|----------|----------|
| [Angle 1] | Can claim ✓ | Weak here ✗ | Also claims | Not relevant |
| [Angle 2] | Strong ✓ | Strong | Weak ✗ | Not relevant |
...
---
## Recommended Test Plan
### Week 1-2: Test Tier 1 Angles
- [Angle] → [Format] → [Platform]
- [Angle] → [Format] → [Platform]
### Week 3-4: Test Tier 2 Angles
- [Angle] → [Format] → [Platform]
Save to clients/<client-name>/ads/angle-bank-[YYYY-MM-DD].md.
| Component | Cost |
|---|---|
| Review scraper (per product) | ~$0.10-0.30 (Apify) |
| Reddit scraper | ~$0.05-0.10 (Apify) |
| Twitter scraper | ~$0.10-0.20 (Apify) |
| Ad scraper (optional) | ~$0.40-1.00 (Apify) |
| Analysis | Free (LLM reasoning) |
| Total | ~$0.25-1.60 |
APIFY_API_TOKEN env varreview-scraper, reddit-scraper, twitter-scraperad-creative-intelligence (for competitor ad angles)