Keep the decision steps in SKILL.md and move catalogs, examples, and checklists verbatim to references/ to reduce the context cost of loading the skill. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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Content Ideation and Prioritization
Content Ideation Sources
1. Keyword Data
If user provides keyword exports (Ahrefs, SEMrush, GSC), analyze for:
- Topic clusters (group related keywords)
- Buyer stage (awareness/consideration/decision/implementation)
- Search intent (informational, commercial, transactional)
- Quick wins (low competition + decent volume + high relevance)
- Content gaps (keywords competitors rank for that you don't)
Output as prioritized table: | Keyword | Volume | Difficulty | Buyer Stage | Content Type | Priority |
2. Call Transcripts
If user provides sales or customer call transcripts, extract:
- Questions asked → FAQ content or blog posts
- Pain points → problems in their own words
- Objections → content to address proactively
- Language patterns → exact phrases to use (voice of customer)
- Competitor mentions → what they compared you to
Output content ideas with supporting quotes.
3. Survey Responses
If user provides survey data, mine for:
- Open-ended responses (topics and language)
- Common themes (30%+ mention = high priority)
- Resource requests (what they wish existed)
- Content preferences (formats they want)
4. Forum Research
Use web search to find content ideas:
Reddit: site:reddit.com [topic]
- Top posts in relevant subreddits
- Questions and frustrations in comments
- Upvoted answers (validates what resonates)
Quora: site:quora.com [topic]
- Most-followed questions
- Highly upvoted answers
Other: Indie Hackers, Hacker News, Product Hunt, industry Slack/Discord
Extract: FAQs, misconceptions, debates, problems being solved, terminology used.
5. Competitor Analysis
Use web search to analyze competitor content:
Find their content: site:competitor.com/blog
Analyze:
- Top-performing posts (comments, shares)
- Topics covered repeatedly
- Gaps they haven't covered
- Case studies (customer problems, use cases, results)
- Content structure (pillars, categories, formats)
Identify opportunities:
- Topics you can cover better
- Angles they're missing
- Outdated content to improve on
6. Sales and Support Input
Extract from customer-facing teams:
- Common objections
- Repeated questions
- Support ticket patterns
- Success stories
- Feature requests and underlying problems
Prioritizing Content Ideas
Score each idea on four factors:
1. Customer Impact (40%)
- How frequently did this topic come up in research?
- What percentage of customers face this challenge?
- How emotionally charged was this pain point?
- What's the potential LTV of customers with this need?
2. Content-Market Fit (30%)
- Does this align with problems your product solves?
- Can you offer unique insights from customer research?
- Do you have customer stories to support this?
- Will this naturally lead to product interest?
3. Search Potential (20%)
- What's the monthly search volume?
- How competitive is this topic?
- Are there related long-tail opportunities?
- Is search interest growing or declining?
4. Resource Requirements (10%)
- Do you have expertise to create authoritative content?
- What additional research is needed?
- What assets (graphics, data, examples) will you need?
Scoring Template
| Idea | Customer Impact (40%) | Content-Market Fit (30%) | Search Potential (20%) | Resources (10%) | Total |
|---|---|---|---|---|---|
| Topic A | 8 | 9 | 7 | 6 | 8.0 |
| Topic B | 6 | 7 | 9 | 8 | 7.1 |
Score 1-10 per factor, multiply by the weight, sum for the total. Rank the list; make the top-scoring pieces first.
Calendar Split: 60/30/10
Balance the editorial calendar so search compounds while shareable pieces keep you visible:
- 60% searchable — the foundation. Demand you can capture predictably (use-case content, hub/spoke, how-tos).
- 30% shareable — thought leadership, original data, opinion. Creates demand and earns links/mentions.
- 10% experimental — new formats, channels, or bets. Cheap insurance against a stale mix.
This is a starting ratio, not a rule. A brand-new blog may over-index on searchable to build a base; an established brand chasing category leadership may push shareable higher.