Claude Design Topical Map for SEO Agencies (Free Prompt Inside)

You are a keyword research specialist. Your goal is to find high-value, buying-intent keywords for a business and deliver a prioritized content calendar as an interactive HTML dashboard.

Here is the business info:

- Website URL: https://distribb.io
- Business name: Distribb
- What we do: AI-powered SEO and content distribution platform that automates blog writing, backlink building, and SEO audits
- Industry/niche: SaaS — SEO automation tools
- Seed keywords: ai seo tool, backlink exchange, automated content creation, seo audit software, white label seo
- Top competitors: surfer seo, ahrefs, semrush, scalenut

Follow these steps in order. Complete each step fully before moving to the next.

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STEP 1 — GATHER KEYWORD DATA

Discover at least 50 keyword variations from the seed keywords above using BOTH methods below:

Method A (if you can run code — Claude Code / terminal):
- Install pytrends and requests: pip install pytrends requests
- For each seed keyword, query Google Autocomplete (http://suggestqueries.google.com/complete/search?client=firefox&q=YOUR+KEYWORD) to discover real suggested searches. Loop through alphabet modifiers (a-z) to expand results.
- Feed all discovered keywords into pytrends to get relative Google Trends interest scores (0-100) for comparison and ranking.
- Also pull "related queries" and "rising queries" from pytrends for each seed keyword.

Method B (if you cannot run code — claude.ai / web):
- Use your web search tool to research each seed keyword. Search for variations like "best [keyword]", "[keyword] tool", "[keyword] software", "[keyword] for [industry]", "[keyword] alternative", "how to [keyword]".
- Search Reddit, Quora, and forums for questions people are asking about these topics — these reveal real buyer pain points.
- Estimate relative popularity based on the number of results, forum activity, and how often terms appear across multiple sources.

Use whichever method is available to you. If you can do both, do both — the data will be richer.

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STEP 2 — CLASSIFY BUYING INTENT

For every keyword discovered, classify its intent into one of these categories:

- BUY: The searcher wants to purchase a solution RIGHT NOW.
  Signals: "best", "top", "software", "tool", "service", "pricing", "buy", "hire", "agency", "platform", "vs", "alternative", "review", "affordable", "cheap", "enterprise", "free trial"

- COMPARE: The searcher is evaluating options before buying.
  Signals: "vs", "alternative", "compared to", "review", "pros and cons", "switch from"

- LEARN: The searcher wants information — not ready to buy yet.
  Signals: "how to", "what is", "guide", "tutorial", "examples", "definition", "tips"

- NAVIGATE: The searcher is looking for a specific brand or page. Skip these.

Remove all NAVIGATE keywords. Keep BUY, COMPARE, and LEARN — but flag BUY as highest priority.

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STEP 3 — SCORE AND RANK

Score each keyword on a 1-100 scale using this formula:

- Buying intent strength (40% weight): BUY = 90-100, COMPARE = 60-80, LEARN = 20-50
- Estimated competition (30% weight): Fewer big-brand results in the SERPs = higher score. If the first page is dominated by Forbes, HubSpot, etc., score low. If niche blogs and small tools rank, score high.
- Relevance to your business (30% weight): How directly does this keyword relate to what you sell? A perfect match = 100, tangential = 30.

Sort all keywords by total score, highest first.

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STEP 4 — CLUSTER INTO CONTENT THEMES

Group the top 40 keywords into content clusters (groups of 3-8 related keywords that could be covered in a single article). For each cluster:

- Name the cluster (e.g. "SEO Tool Comparisons", "Backlink Building Guides")
- List all keywords in the cluster
- Identify the primary keyword (highest score) and secondary keywords
- Suggest the content type: Listicle, Comparison Table, How-To Guide, Ultimate Guide, or Case Study
- Suggest a working article title that naturally includes the primary keyword

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STEP 5 — BUILD THE CONTENT CALENDAR

Create a 30-day content calendar that prioritizes:
1. BUY-intent clusters first (these drive revenue fastest)
2. COMPARE-intent clusters second (these capture people close to buying)
3. LEARN-intent clusters third (these build top-of-funnel traffic)

For each week, assign 2-3 articles. For each article include:
- Suggested publish date
- Article title
- Primary keyword
- Secondary keywords (2-4)
- Content type
- Estimated word count
- Priority level (Critical / High / Medium)

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STEP 6 — BUILD THE HTML DASHBOARD

Output a single, self-contained HTML file with embedded CSS. The dashboard should include:

1. HEADER: Business name, date generated, total keywords found, breakdown by intent (BUY / COMPARE / LEARN counts)

2. KEYWORD TABLE: All keywords discovered with columns for keyword, intent tag (color-coded: green for BUY, yellow for COMPARE, blue for LEARN), score, estimated competition level, cluster name. Make the table sortable by clicking column headers. Add a search/filter box above the table. Add filter buttons for each intent type.

3. CONTENT CLUSTERS: Visual cards for each cluster showing the cluster name, keyword count, average score, recommended content type, and the suggested article title. Cards should be color-coded by priority.

4. 30-DAY CALENDAR: A week-by-week calendar view showing which articles to publish when. Each entry shows the title, primary keyword, content type, and priority badge.

5. QUICK WINS SECTION: Highlight the top 5 keywords where competition is low and buying intent is high — these are the ones to write first.

Style the dashboard with:
- Clean white background, subtle gray borders
- Sans-serif font (system font stack)
- Green (#059669) for BUY intent, yellow (#d97706) for COMPARE, blue (#2563eb) for LEARN
- Responsive layout that works on mobile
- Collapsible sections to keep it manageable
- No external dependencies — everything inline
- A "Download as CSV" button that exports the keyword table data