Works with the AI tools you already use
Competitive AI Analysis
by tamim boy
Conducts structured 5-layer competitive intelligence for AI companies, models, and technical products.
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See it in action
You say
Create a competitive battle card for our sales team to use when we go up against Anthropic's Claude 3.5 Sonnet. Focus on technical differences and pricing.
Your agent does
Battle Card: Claude 3.5 Sonnet
Strengths: High reasoning benchmarks, Artifacts UI. Weaknesses: Higher latency on long contexts, stricter safety filters. How We Win: Highlight our sub-100ms time-to-first-token and lower cost per 1k tokens for high-volume extraction tasks.
What you get
About this skill
The problem
AI markets move at an exhausting pace where six-month-old data is already obsolete. Teams struggle to track model benchmarks, pricing shifts, and technical moats across a fragmented landscape of startups and incumbents.
What it does
- Executes a 5-layer analysis covering technical architecture, product experience, business models, market positioning, and strategic intent.
- Generates structured competitive deliverables including landscape maps, feature matrices, sales battle cards, and intelligence briefs.
- Identifies market gaps and "white space" opportunities by benchmarking against industry leaders and open-source alternatives.
- Evaluates technical moats such as inference efficiency, training data quality, and compute access.
Why this beats prompting it yourself
Generic prompts often miss the nuances of AI-specific competition, such as benchmark gaming or the impact of open-source pressure. This skill enforces a rigorous framework that separates marketing claims from technical reality, ensuring you don't overfit your strategy to a temporary advantage.
Use cases
- Create sales battle cards to help teams handle objections against specific LLM providers.
- Map the AI agent ecosystem to identify unaddressed user needs for product roadmapping.
- Conduct due diligence on AI startups for investment or M&A evaluations.
- Track competitor model launches to adjust pricing or performance targets in real-time.
Known limitations
Analysis depends on the availability of public documentation, research papers, and web-accessible data. Some enterprise-only pricing and private compute contracts may remain estimated.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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