Works with the AI tools you already use
Competitor Analysis & Teardown
by Josh Attwood
Professional competitor teardown tool that extracts positioning, pricing, and actionable win angles from public data.
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See it in action
You say
Compare our environmental consultancy offer against rival-engineering-firm.com. We are bidding for a coastal restoration project in the UK. How do we stack up?
Your agent does
Competitor teardown: Rival Engineering
Basis: 6 pages fetched | Compared against: Marine and Coastal division
Snapshot
A mid-sized consultancy focusing on urban drainage and flood risk. They frame themselves as rapid-response specialists for local councils.
Head to head
| Dimension | Them | Us | Read | |---|---|---|---| | Sector Depth | Flood/Drainage | Full Marine/Coastal | We have broader technical reach. | | Scale | Regional (UK South) | International | We beat them on global reference projects. |
Angles to win
Their case studies are all under 5m. Lead with our three 50m-plus coastal schemes to highlight their lack of experience with large-scale capital works.
What you get
About this skill
The problem
Static competitor research often results in generic summaries that repeat marketing copy without providing actionable strategic value. Developers and sales teams struggle to identify specific gaps where their own offer can actually win in a head-to-head comparison.
What it does
- Crawl competitor URLs to extract pricing models, target segments, and core feature sets.
- Categorizes claims as stated, implied, or unknown to prevent strategic errors based on assumptions.
- Generates a direct head-to-head comparison table against your specific service lines.
- Identifies actionable "win angles" that dictate specific moves for shortlists or proposals.
- Surface critical unknowns that require further intelligence gathering before a bid.
Frameworks & tools
Web browsing capabilities for real-time site analysis, British English localization, and structured Markdown reporting.
Why this beats prompting it yourself
This skill enforces a strict evidence discipline that separates marketing prominence from actual capability. It avoids the common AI trap of hallucinating missing data, instead flagging gaps as "Unknown" to ensure your strategy is built on verified facts rather than plausible-sounding guesses.
Use cases
- Analyze a rival firm's website to prepare for a competitive bid or tender.
- Identify pricing and feature gaps when launching a new service line.
- Benchmark your company's sector depth against a specific competitor.
- Break down a competitor's hiring patterns via careers pages to infer their true scale.
Known limitations
Requires publicly accessible URLs for deep crawling. Findings are limited to stated or implied web data and cannot access private financial records or internal documents.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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