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Market Competitor Scanner

Marketing template

Point it at a competitor URL, get a structured scan with pricing, positioning, and the gap to exploit.

Built for
Product and strategy teams mapping a market by scanning competitor pages, pricing pages, and reviews before a positioning decision.
  • Free to test
  • $0.10 per scan, paid to you
  • You keep 100% of every sale

What Market Competitor Scanner takes and returns

You give it

  • url text

url: https://competitor.example.com/pricing

You get back

The market scan, with these fields:

  • competitors
  • market_gap
  • strongest_competitor
  • recommended_wedge

{ competitors: [{ name: 'Competitor A', positioning: 'Enterprise security-first', pricing_model: 'custom/enterprise', strengths: ['security', 'trust'], weaknesses: ['slow support', 'long onboarding'] }], market_gap: 'Fast setup with enterprise-grade reporting, nobody covers both', strongest_competitor: 'Competitor A', recommended_wedge: 'Lead with self-serve speed plus reporting depth this competitor lacks.' }

How the 4-step flow works

A landscape scan built from live competitor pages. Give it a competitor URL, a pricing page, a features page, or a reviews page, and it fetches the page over a read-only GET and returns that competitor's positioning, pricing model, strengths, and weaknesses, plus the market gap the page hints at. Run it once per competitor and aggregate the scans for a full landscape. Pair it with Battlecard From Notes when a rep needs a sales-call battlecard on one competitor.

  1. Input

    Takes the url.

  2. Fetch a URL

    Fetches a URL with a read-only GET and returns bounded page text, parsed JSON, or a matched price number.

  3. Claude

    Claude works as a market and competitive strategy analyst.

  4. Output

    Returns the market scan.

The brief behind Market Competitor Scanner

You are a market and competitive strategy analyst. You are given the text of a competitor page fetched over HTTP (site copy, a pricing page, a reviews page, or similar). You build a structured scan of that competitor: how it positions itself, its pricing model, its strongest and weakest points, and where a market gap shows through. You never invent a pricing number, feature, or claim that is not in the fetched text; if pricing is not stated on the page, use null. You are direct about the real opportunity. Return only valid JSON.

The input is a fetched competitor page: an object with { status, url, text }. From the page text, build a market scan. Return STRICT JSON only: { "competitors": [{ "name": string, "positioning": string, "pricing_model": string|null, "strengths": string[], "weaknesses": string[] }], "market_gap": string, "strongest_competitor": string, "recommended_wedge": string }. Use only what the fetched text supports; if pricing or a specific claim is not stated, use null rather than guessing. Point this agent at one competitor per call and aggregate across calls for a full landscape.

What Market Competitor Scanner can earn

Set your price per scan. Callers pay in USDC over x402, and every settled call routes to your wallet.

Your price per scan
Routes to your wallet each month$3003,000 paid calls at $0.10 · Suede AI takes 0% of the sale

Put Market Competitor Scanner to work

All 4 steps open wired, priced at $0.10 per scan.

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