ads-competitor▌
agricidaniel/claude-ads · updated Apr 15, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Available from the user's own Google Ads account:
Competitor Ad Intelligence
Process
- Identify target competitors (from user input or industry analysis)
- Read
ads/references/benchmarks.mdfor industry CPC/CTR/CVR baselines - Research competitor ad presence across platforms
- Analyze ad copy, creative, and messaging themes
- Estimate competitor spend and keyword strategy
- Identify gaps and opportunities
- Generate competitive intelligence report
Data Sources
Free Intelligence Sources
| Source | Platform | What You Can Find |
|---|---|---|
| Google Ads Transparency Center | Active ads, formats, geo targeting | |
| Meta Ad Library | Meta/Instagram | All active ads, creative, copy, spend range |
| LinkedIn Ad Library | Active ads from company pages | |
| TikTok Creative Center | TikTok | Top ads, trending creative, hashtags |
| Microsoft Ads | Microsoft | Limited: use auction insights |
Google Ads Auction Insights
Available from the user's own Google Ads account:
- Impression share vs competitors
- Overlap rate (how often you compete)
- Outranking share (who wins more often)
- Top of page rate and absolute top of page rate
- Available for Search and Shopping campaigns
Platform-Specific Research
- Ads Transparency Center: search by advertiser name or domain
- Search for competitor brand terms to see their ads live
- Auction Insights for impression share comparison
Meta
- Ad Library: filter by advertiser, country, platform (FB/IG), date range
- Shows creative (image/video), ad copy, active dates
- Shows platform placement (Facebook, Instagram, Audience Network)
- Ad Library: search by company name
- Shows Sponsored Content, Message Ads
- Limited data compared to Meta Ad Library
TikTok
- Creative Center: top-performing ads by industry, country, objective
- Hashtag analytics: trending sounds and hashtags
- No per-advertiser library; use Creative Center for industry trends
Competitive Analysis Framework
1. Ad Copy Analysis
For each competitor, document:
- Headlines: primary messages and value propositions
- CTAs: what action they're driving (free trial, demo, buy now, learn more)
- Offers: pricing, discounts, free shipping, trials
- Tone: professional, casual, urgent, educational, emotional
- USPs: unique selling propositions they emphasize
- Pain points: customer problems they address
2. Creative Strategy Analysis
- Formats used: image, video, carousel, collection, document
- Visual style: photography, illustration, UGC, stock, branded
- Video approach: studio quality vs UGC vs animated
- Creative volume: how many active ads (indicator of testing velocity)
- Refresh frequency: how often new creatives appear
3. Messaging Themes
Categorize competitor messaging into themes:
| Theme | Competitor A | Competitor B | Your Brand |
|---|---|---|---|
| Price/Value | ✅ Primary | ⚠️ Secondary | ? |
| Quality/Premium | ❌ | ✅ Primary | ? |
| Speed/Convenience | ⚠️ Secondary | ❌ | ? |
| Trust/Authority | ✅ Primary | ✅ Primary | ? |
| Innovation | ❌ | ⚠️ Secondary | ? |
4. Keyword Intelligence (Google/Microsoft)
- Brand keyword bidding: are competitors bidding on your brand?
- Keyword overlap: which non-brand terms do you both target?
- Keyword gaps: terms competitors rank for that you don't target
- Match type strategy: estimated match types from ad triggers
5. Spend Estimation
- Meta Ad Library shows spend ranges for political/social ads
- Google Auction Insights + impression share = directional spend estimate
- Third-party tools (SEMrush, SpyFu) for more precise estimates
- Manual estimation formula:
Estimated Monthly Spend = Impressions × CPM / 1000 or Estimated Monthly Spend = Clicks × Estimated CPC
Gap & Opportunity Identification
Platform Gaps
- Which platforms are competitors NOT on? (opportunity to own)
- Which platforms are they underspending on? (opportunity to outspend)
Messaging Gaps
- What customer pain points are NO competitors addressing?
- What value propositions are underrepresented in the market?
- What content formats are competitors not using?
Audience Gaps
- What demographics/segments are competitors not targeting?
- What geographic markets are underserved?
- What funnel stages are competitors neglecting?
Creative Gaps
- What ad formats are competitors not using? (video, UGC, Spark Ads)
- What creative styles are missing from the competitive landscape?
- What platform-specific features are competitors not leveraging?
Competitive Response Strategy
When Competitors Bid on Your Brand
- Always run brand campaigns to defend (low CPC, high CTR)
- Dynamic keyword insertion to show your brand prominently
- Sitelinks to key pages (pricing, features, reviews)
- Ad copy that emphasizes unique differentiators
- Consider bidding on competitor brand terms (know the rules)
When You're Outspent
- Focus on efficiency over volume (better targeting, creative, landing pages)
- Target long-tail keywords competitors ignore
- Use Exact match for precision (less waste)
- Double down on retargeting (lower CPA than prospecting)
- Compete on creative quality, not budget
Output
Deliverables
COMPETITOR-INTELLIGENCE-REPORT.md: Full competitive analysis- Per-competitor ad presence summary
- Ad copy and messaging analysis
- Creative strategy comparison
- Estimated spend levels
- Keyword overlap and gaps
COMPETITIVE-GAPS.md: Opportunities identified from competitor analysis- Platform gaps
- Messaging opportunities
- Audience segments to target
- Creative format opportunities
- Strategic recommendations for competitive positioning
- Priority actions to gain competitive advantage
How to use ads-competitor on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add ads-competitor
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches ads-competitor from GitHub repository agricidaniel/claude-ads and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate ads-competitor. Access the skill through slash commands (e.g., /ads-competitor) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.8★★★★★28 reviews- ★★★★★Hiroshi Tandon· Dec 16, 2024
ads-competitor has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Chaitanya Patil· Dec 12, 2024
I recommend ads-competitor for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Layla Anderson· Dec 4, 2024
ads-competitor fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Ishan Jain· Nov 23, 2024
We added ads-competitor from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Mia Shah· Nov 15, 2024
Registry listing for ads-competitor matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Soo Park· Nov 7, 2024
ads-competitor reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Piyush G· Nov 3, 2024
Useful defaults in ads-competitor — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Omar Park· Oct 26, 2024
I recommend ads-competitor for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Shikha Mishra· Oct 22, 2024
ads-competitor has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Mateo Khan· Oct 14, 2024
Solid pick for teams standardizing on skills: ads-competitor is focused, and the summary matches what you get after install.
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