Product-Led SEO skill
The playbook Moonrank's SEO Agent uses to build tools instead of articles — the format that wins "Do" queries and that an autonomous agent can actually use.
Download the methodology, see the surprise gap test, or run it live inside the SEO Agent.
- Category
- SEO
- Agent
- SEO Agent
- Format
- product-led-seo.md
- Price
- Free to download
The skill file
What is the Product-Led SEO skill?
The Product-Led SEO skill is how Moonrank's SEO Agent designs tools that earn their own traffic. It maps the "Do" micro-intents an audience wants finished — calculate, simulate, generate, audit — and produces five tool concepts, each with its output format and the exact workflow that turns a use into a lead.
The column that decides whether a tool lasts is the surprise gap: the proprietary data the tool produces that a competitor cannot reproduce. A calculator anyone could build is a three-month advantage before it is cloned. One built on your own client benchmarks is a durable one, and it is also the reason a model citing the result names you.
It's written as a SKILL.md, a plain-language instruction format that people and AI agents can both follow. Read it to design your own tool, hand it to a developer as a spec, or let the SEO Agent shape the concept around your data.
See it in action
“Everyone in our space publishes guides. How do we get ahead?”
Stop publishing the guide about calculating it and build the thing that calculates it. Five concepts, and the one worth building first benchmarks the reader against companies of their exact size and sector — which needs your client data, so nobody can clone it. Free output is the score and the two worst dimensions; the full report and the peer comparison sit behind an email. Not the whole thing behind the gate, or it reads as a form and gets treated as one.
From input to fix list
- 1
You name the theme and the data
What you're promoting, what proprietary data you hold, and what can realistically be built.
- 2
Moonrank maps the Do intents
The concrete tasks your audience wants finished, not the topics they read about.
- 3
It produces five concepts
Each with its micro-intent, surprise gap, output format and conversion workflow.
- 4
It specs the priority one
Inputs, calculation logic, output, data sources and the recommended stack.
Everything it checks
Do micro-intent mapping
Calculate, simulate, generate, audit, compare, plan — the tasks behind the queries.
Five tool concepts
Named and scoped, not a brainstorm of things that could be built.
The surprise gap test
Could a competitor produce the same output without your data? If yes, it gets cloned.
Structured output design
Scores, tables and projections with real figures — quotable and hard to dispute.
A conversion workflow
Free value, gate, premium value — never the whole thing behind an email.
Feasibility scoring
Complexity, data, build time, demand, conversion and differentiation per concept.
When to reach for it
- Win transactional queries a text page will never take.
- Build a lead magnet that also earns its own traffic.
- Differentiate in a market where everyone publishes guides.
- Give autonomous agents something they can actually use.
- Turn proprietary data into a tool competitors can't clone.