competitive-pricing-intel
Monitor competitor pricing pages via live web scrape and Web Archive snapshots. Track plan changes, tier restructuring, new pricing models, and feature gating shifts. Produces a pricing comparison matrix and flags when a competitor changes packaging. Use when a product marketing team needs to stay current on competitive pricing or when preparing for a pricing change of their own.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/gooseworks-ai/goose-skills --skill competitive-pricing-intel- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads competitive-pricing-intel automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Competitive Pricing Intel
Track competitor pricing pages over time. Detect when they change plans, shift feature gating, adjust pricing models, or introduce new tiers. The output is a living pricing comparison matrix plus alerts when something changes.
Core principle: Pricing is the most under-monitored competitive signal. Most teams only check competitor pricing when they're about to change their own. This skill makes it continuous.
When to Use
- "What are our competitors charging?"
- "Has [competitor] changed their pricing recently?"
- "Build a pricing comparison matrix"
- "Monitor competitor pricing for changes"
- "We're rethinking our pricing — show me the competitive landscape"
Phase 0: Intake
- Your product name + pricing page URL
- Competitors to track — Names + pricing page URLs (2-5 recommended)
- Your pricing model — How do you charge? (per seat, usage, flat, freemium, etc.)
- Key comparison dimensions — What matters to your buyer? (price per seat, included features, limits, support tiers)
- First run or recurring?
- First run: Full baseline capture + historical analysis
- Recurring: Compare against last snapshot
Phase 1: Current Pricing Capture
1A: Live Scrape
For each competitor's pricing page:
Fetch: [competitor pricing URL]
Extract:
- Plan names and prices — Every tier with monthly and annual pricing
- Feature matrix — What's included in each tier?
- Limits — Usage caps, seat limits, storage, API calls
- Add-ons — What costs extra beyond base plans?
- Enterprise tier — "Contact us" or listed price? What's gated behind sales?
- Free tier / trial — What's available without paying?
- Pricing model — Per seat / per user / usage-based / flat / hybrid
1B: Web Archive Historical Check
Search for past versions of their pricing page:
Search: "web.archive.org" "[competitor pricing URL]"
Fetch: web.archive.org/web/*/[competitor pricing URL]
Look for the last 2-3 snapshots to detect:
- Price increases/decreases
- Plan restructuring (new tiers added, tiers removed)
- Feature gating changes (features moved between tiers)
- Model shifts (e.g., moved from per-seat to usage-based)
- Free tier changes (expanded or restricted)
1C: Pricing Announcement Research
Search: "[competitor]" pricing change OR "new pricing" OR "updated plans"
Search: "[competitor]" blog pricing OR announcement plans
Search: "[competitor]" site:reddit.com pricing OR "price increase"
Capture any public announcements or community reactions to pricing changes.
Phase 2: Pricing Analysis
2A: Competitive Pricing Matrix
Build a normalized comparison across all competitors:
| Dimension | Your Product | Competitor A | Competitor B | Competitor C |
|---|---|---|---|---|
| Starter price | $X/mo | $X/mo | $X/mo | $X/mo |
| Mid-tier price | $X/mo | $X/mo | $X/mo | $X/mo |
| Enterprise | $X/mo or Custom | ... | ... | ... |
| Pricing model | [Model] | [Model] | [Model] | [Model] |
| Free tier | [Yes/No + limits] | ... | ... | ... |
| Annual discount | [X%] | ... | ... | ... |
| Key limit (starter) | [e.g., 5 seats] | ... | ... | ... |
| Key limit (mid) | [e.g., 20 seats] | ... | ... | ... |
| Overage cost | [$/unit or blocked] | ... | ... | ... |
| Support included | [Email/chat/phone] | ... | ... | ... |
2B: Price-to-Value Ratio
For the ICP's typical use case, calculate effective cost:
Scenario: [Typical ICP — e.g., "10-person growth team, 5,000 contacts, 1,000 emails/month"]
Your Product: $[X]/mo for this scenario
Competitor A: $[X]/mo for this scenario
Competitor B: $[X]/mo for this scenario
This reveals true competitive pricing position, not just list price.
2C: Packaging Strategy Analysis
For each competitor, identify their packaging strategy:
| Strategy | Description | Who Uses It |
|---|---|---|
| Good-Better-Best | 3 tiers, clear upgrade path | Most SaaS |
| Usage-based | Pay for what you use | API/infrastructure |
| Per-seat | Price scales with team | Collaboration tools |
| Freemium | Free forever, premium features | PLG products |
| Reverse trial | Full features free, then downgrade | Conversion-optimized |
| Platform + add-ons | Base platform + modular features | Enterprise |
2D: Change Detection (Recurring Runs)
Compare current snapshot against previous:
| Change Type | Severity | Example |
|---|---|---|
| Price increase | High | Starter: $29 → $39/mo |
| Price decrease | High | Aggressive competitive move |
| New tier added | Medium | "Growth" plan between Starter and Pro |
| Tier removed | Medium | Simplified from 4 to 3 plans |
| Feature ungated | Medium | Feature moved from Pro to Starter |
| Feature gated | Medium | Feature moved from Starter to Pro |
| Model change | Critical | Shifted from per-seat to usage-based |
| Free tier change | High | Free plan limits reduced/expanded |
Phase 3: Output Format
# Competitive Pricing Intel — [DATE]
Products tracked: [your product], [competitors]
Previous snapshot: [date or "first run"]
---
## Pricing Change Alerts
### [Competitor Name]
- **Change detected:** [Description of what changed]
- **Previous:** [Old pricing/plan structure]
- **Current:** [New pricing/plan structure]
- **Implication for us:** [What this means for your positioning/pricing]
*(Repeat for each competitor with changes. If no changes: "No pricing changes detected since [last run date].")*
---
## Competitive Pricing Matrix
| | [You] | [Comp A] | [Comp B] | [Comp C] |
|---|---|---|---|---|
| **Starter** | $[X]/mo | $[X]/mo | $[X]/mo | $[X]/mo |
| **Mid-tier** | $[X]/mo | $[X]/mo | $[X]/mo | $[X]/mo |
| **Enterprise** | [Price] | [Price] | [Price] | [Price] |
| **Model** | [Type] | [Type] | [Type] | [Type] |
| **Free tier** | [Details] | [Details] | [Details] | [Details] |
| **Annual discount** | [X%] | [X%] | [X%] | [X%] |
---
## ICP Scenario Pricing
For: [Typical buyer scenario]
| Product | Monthly Cost | Annual Cost | Notes |
|---------|-------------|-------------|-------|
| [You] | $[X] | $[X] | [Context] |
| [Comp A] | $[X] | $[X] | [Context — e.g., "requires add-on for [feature]"] |
| [Comp B] | $[X] | $[X] | [Context] |
**Your position:** [Cheapest / Mid-range / Premium] for this scenario
---
## Feature Gating Comparison
Features that matter most to ICP — where are they gated?
| Feature | [You] | [Comp A] | [Comp B] |
|---------|-------|----------|----------|
| [Feature 1] | [Tier] | [Tier] | [Tier] |
| [Feature 2] | [Tier] | [Tier] | [Tier] |
| [Feature 3] | [Tier] | [Tier] | [Tier] |
---
## Packaging Strategy Summary
| Competitor | Strategy | Target Motion | Notes |
|-----------|----------|--------------|-------|
| [Comp A] | [Strategy type] | [PLG/Sales-led/Hybrid] | [Key observation] |
| [Comp B] | [Strategy type] | [Motion] | [Observation] |
---
## Pricing Recommendations
Based on competitive analysis:
### If holding current pricing:
- **Strength:** [Where your pricing wins]
- **Vulnerability:** [Where a competitor undercuts you]
- **Messaging guidance:** [How to position price on sales calls]
### If considering a change:
- **Opportunity:** [Gap in market you could fill — e.g., "no one offers usage-based in this category"]
- **Risk:** [What to watch out for — e.g., "Competitor B is already cheaper at scale"]
Save to pricing-comparison-[YYYY-MM-DD].md in the current working directory.
Scheduling
Run monthly (pricing changes are infrequent but impactful):
0 8 1 * * python3 run_skill.py competitive-pricing-intel --client <client-name>
Cost
| Component | Cost |
|---|---|
| Web scraping (pricing pages) | Free |
| Web Archive lookups | Free |
| Web search (announcements) | Free |
| Analysis and comparison | Free (LLM reasoning) |
| Total | Free |
Tools Required
- web_search — for pricing announcements and community reactions
- fetch_webpage — for scraping current pricing pages
- No API keys required
Trigger Phrases
- "What are competitors charging?"
- "Has [competitor] changed their pricing?"
- "Build a pricing comparison matrix"
- "Run competitive pricing intel for [client]"
- "Monitor competitor pricing pages"
FAQ
What does the competitive-pricing-intel skill do?
Monitor competitor pricing pages via live web scrape and Web Archive snapshots. Track plan changes, tier restructuring, new pricing models, and feature gating shifts. Produces a pricing comparison matrix and flags when a competitor changes packaging. Use when a product marketing team needs to stay current on competitive pricing or when preparing for a pricing change of their own.
How do I install competitive-pricing-intel?
Run npx skills add https://github.com/gooseworks-ai/goose-skills --skill competitive-pricing-intel in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/competitive-pricing-intel/ (personal) or .claude/skills/competitive-pricing-intel/ (project).
Which AI agents can use competitive-pricing-intel?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is competitive-pricing-intel safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains competitive-pricing-intel?
It is published by gooseworks-ai in gooseworks-ai/goose-skills. It has 56 recorded installs.
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