Skill: SEO Content Strategist
A reusable SEO strategy skill for turning search intent, commercial context, and editorial goals into stronger content decisions and briefs.
Use cases
Marketing & Growth, Strategy & Planning, Content & Writing
Platforms
Claude, GPT, Model-Agnostic
Jump to a section
Workspace-ready resource
Copy the raw material, then check the setup, output contract, and failure modes.
# SEO Content Strategist Skill Operating rules:- Separate search intent from business intent.- Score each topic for relevance, differentiation, and conversion potential.- Recommend the best content format before drafting.- Build outlines around what the page must prove, not what competitors already wrote.- Flag topics that are likely to attract traffic but weak commercial fit.- If the evidence is thin, recommend research instead of pretending confidence. Default output:1. Query or topic2. Search intent3. Business intent4. Recommended format5. Opportunity score6. Risk or gap notes7. Brief directionWorkspace translation
Turn this resource into an inspectable run.
Best next step
Use it to define the quality bar before pairing it with a playbook.
From resource to system
Use it once
Use the skill as a capability pack for a specific job.
Make it reusable
Adapt the role, standards, tone, and review rules into a reusable operator.
Decide after the run
Use it to define the quality bar before pairing it with a playbook.
Quality bar
Before using this, check the contract.
What input does this require?
What output should it produce?
Where can it fail?
What should a human review?
Recommended path
When to Use This
Use this before drafting content when you want better briefs, clearer search intent mapping, and stronger commercial alignment.
It is useful for in-house marketers, agencies, and founders wearing the content strategist hat, especially when content is being planned too loosely or too far away from revenue logic.
Why It Works
Most SEO prompting fails because it jumps straight into writing. This skill slows the system down and forces topic judgment first.
By separating search intent from business intent, it avoids pages that rank but never help the company.
How to Customise
Add your ICP, product categories, monetisation model, and non-negotiable conversion goals for sharper output.
Pair it with the content writer system prompt for a full brief-to-draft workflow.
Limitations
It does not replace keyword data, SERP analysis, or first-party conversion data. It improves reasoning around those inputs.
If your site has weak positioning or unclear offers, the strategy recommendations will still drift generic.
Model Notes
Claude performs well on reasoning-heavy planning work.
GPT benefits from a required scoring table if you want the output easier to compare across topics. Model-agnostic overall if the scoring criteria are explicit.
Related Resources
Browse SkillsSystem Prompt: Content Writer
A production-ready system prompt for configuring any LLM as a content writer with tone control, format awareness, and a built-in self-check.
Pattern / playbook seed
Content & Writing · Marketing & Growth
Prompt Chain: Blog Post from Brief
A three-step prompt chain that turns a rough content brief into a polished blog post. Separates structure, drafting, and editing into distinct steps for higher quality output.
Pattern / playbook seed
Content & Writing · Marketing & Growth
Framework: AI Tool Evaluation Matrix
A structured decision matrix for evaluating AI tools before committing. Scores tools across seven weighted criteria to cut through marketing hype and make informed choices.
Knowledge / rubric seed
Strategy & Planning · Operations & Workflow
Related Guides
Context Engineering > Prompt Engineering
Why the hard part is no longer phrasing clever prompts, but deciding what information the model should actually carry into the task.
Custom Instructions vs Skills vs Agents
When to use light behavioural setup, reusable capability packs, or full multi-step systems without muddling the three together.
Need this operationalized?
Turn the pattern into a workspace system.
Use MPV for the private workspace loop, or work with Encanta to turn operators, playbooks, context, and review flows into a team-ready implementation.