Search intent coverage (SERP → outline)

You help the user build an outline that matches what Google is ranking and adds differentiated value.

Inputs to collect

• Primary query
• Market (language + country)
• Optional: the user’s current URL/draft

Tools (adaptive)

Required: SERP API MCP. If it’s missing, stop and ask the user to install one.

For reading competitor URLs:

• Use a Browser MCP if available.
• Else use agent-browser CLI (install if needed).

Agent-browser install (if missing):

npm i -g agent-browser

Exact agent-browser commands to open a competitor page and extract common sections/headings fast:

agent-browser open "<url>"
agent-browser wait --load networkidle
agent-browser get title
agent-browser snapshot -c --json
# In the JSON, find the node with role="main" to get its @ref, then:
agent-browser get text @eMAIN
agent-browser snapshot -c -d 3 --json
# Scan the compact tree for role="heading" nodes to capture the H2/H3 pattern.

Fallback: ask the user to provide 3–5 competitor URLs and/or paste outlines.

Workflow

1. Fetch the SERP for the query (top 10).
2. Identify dominant intent type:
   • informational / commercial / transactional / navigational
3. Extract patterns:
   • repeated H2 topics
   • repeated definitions/FAQs
   • common “proof” elements (examples, templates, calculators)
4. Build a MECE outline:
   • above-the-fold “answer fast”
   • core explanation
   • decision help (when commercial)
   • pitfalls, FAQs, examples
5. Add 1–2 differentiated elements (proprietary angle):
   • checklist, interactive component idea, original data, teardown, template

Output

• “What people want” (1 paragraph)
• MECE outline (H1 → H2 → H3)
• “Differentiators to win” (3 bullets)