Prospect Analyzer

Analyze a company's website to determine if they need content marketing help. Produces a scored qualification report with specific content gaps, competitive positioning, and a personalized outreach angle you can use immediately.

Part of the DriftMango SDR Kit — an autonomous prospecting pipeline for service businesses. This is the free standalone skill. The full pipeline (automated scanning, outreach email composer, content writer, editor) is available at driftmango.com/sdr-kit.

When to Use

• - Given a company domain: "analyze example.com" or "qualify acme.io as a prospect"
• Processing prospects from a queue file (see Queue Integration below)
• Evaluating whether a company is worth reaching out to before writing a cold email

What You Need

• - Browser tool enabled in OpenClaw (for visiting websites)
• A clear idea of what service you sell (so the outreach angle is relevant)

If you sell content marketing, SEO, web design, paid ads, or any service where you can spot weaknesses on a company's website, this skill works for you.

Configuration

Create a file called PROSPECT_CONFIG.md in your workspace root with your business context:

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If no PROSPECT_CONFIG.md exists, the skill still works — it just produces a generic content gap analysis without a tailored outreach angle.

Analysis Process

Step 1: Initial Reconnaissance

Visit the prospect's homepage using the browser. Note:

• - What does the company do? (SaaS, e-commerce, services, etc.)
• What is their product/service?
• Who is their target audience?
• What stage are they at? (startup, growth, enterprise — look for signals like team size on About page, funding announcements, pricing page sophistication)

Step 2: Blog and Content Audit

Navigate to common blog locations in this order until you find one:

• - /blog
• /resources
• /articles
• /news
• /insights
• /learn
• /content

If NO blog exists, that is a strong qualification signal — note "No blog found" and skip to Step 4.

If a blog exists, analyze:

Publishing frequency:

• - Look at the dates of the 10 most recent posts
• Calculate average posting frequency
• Note the date of the most recent post
• If last post is >60 days old, flag as "dormant blog"

Content quality (sample the 3 most recent posts):
For each post, visit it and evaluate:

• - Estimated word count (look at content length)
• Does the title contain a target keyword? (search-intent phrasing like "how to...", "best...", "guide to...", "[year] ...")
• Heading structure: does it use H2/H3 subheadings logically?
• Does it have internal links to other content or product pages?
• Does it have a clear call-to-action?
• Overall quality impression: thin / generic / decent / strong

Step 3: Competitive Quick-Check

From the homepage, identify what space/niche the company is in. Then:

• - Use the browser to Google: "[their main keyword] blog" or "[their product category] guide"
• Check if any of their content appears on the first page
• Note 1-2 competitors who DO appear and are clearly investing in content

Step 4: Scoring and Qualification

Score the prospect on a 1-10 scale based on these weighted factors:

Total = weighted sum / 100, normalized to 1-10 scale.

Qualification thresholds:

• - 8-10: HOT LEAD — prioritize outreach
• 6-7: Warm lead — worth pursuing
• 4-5: Cool lead — low priority
• 1-3: Skip — not a fit

Step 5: Generate Outreach Angle

Based on the analysis, write a specific outreach angle. This is NOT a full email — it's the core insight that makes an email personalized. Format:

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If PROSPECT_CONFIG.md exists, tailor the value prop to your actual services and pricing.

Step 6: Output

Save the report to your workspace:

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Create the prospects directory if it doesn't exist:
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Use this format:

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After generating the report, tell the user the score and a 2-sentence summary.

Queue Integration (Optional)

If you maintain a prospect queue at prospects/queue.md, this skill can process it:

1. 1. Read the top entry from "Pending Analysis"
2. Move it to "In Progress"
3. Run the full analysis
4. Save the report to INLINECODE2
5. Move the entry to "Analyzed" with the score
6. If score is 8+: notify immediately (hot lead)
7. If score is 6-7: note for batch notification

Queue format:
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Tips for Best Results

• - Run on a capable model. Claude Haiku 4.5 is the minimum for decent analysis. Sonnet produces noticeably better outreach angles.
• Be specific in PROSPECT_CONFIG.md. The more the skill knows about what you sell, the better the outreach angle.
• Batch your analyses. Run 3-5 per day to build a pipeline without burning through tokens.
• Trust the scores. If a prospect scores below 6, don't waste time on outreach. Move on.

What's Next

This skill tells you WHO to reach out to and WHY. To complete the pipeline:

• - market-scanner finds prospects automatically from Product Hunt, Google, and IndieHackers
• outreach-composer turns this analysis into a ready-to-send 3-email cold sequence
• content-writer + editor produce the content you'll deliver when they say yes

Full pipeline available at driftmango.com/sdr-kit →

Important Rules

• - NEVER fabricate data. If you can't find a blog, say so. If you can't determine posting frequency, say "unclear."
• NEVER guess at traffic numbers — just note what you observe.
• If the browser can't load a page, try curl as a fallback.
• Keep the analysis factual. The outreach angle should feel like it came from a human who spent 10 minutes researching the company.
• If a prospect is clearly outside the user's target, score them low and explain why.