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Do keyword research for a topic cluster

Parallel AI beats chat for this — it scrapes live SERPs for real intent signals.

by @whitney · recommended tool Parallel AI · 0 unlocks

ALTERNATES

Claude

EXAMPLES · WHAT THIS PROMPT PRODUCES

Sample output

**Topic cluster: "home espresso" — audience: first-time espresso machine buyers**

**Pillar keyword:** how to make espresso at home

**12 supporting keywords (intent):**
1. best espresso machine for beginners (commercial)
2. espresso vs coffee difference (informational)
3. how much does an espresso machine cost (commercial)
4. espresso grind size guide (informational)
5. manual vs automatic espresso machine (commercial)
6. best budget espresso machine under 300 (transactional)
7. how to froth milk at home (informational)
8. espresso machine maintenance tips (informational)
9. why is my espresso bitter (informational)
10. best espresso beans for beginners (commercial)
11. breville vs delonghi espresso (commercial)
12. buy espresso machine starter kit (transactional)

**Long-tail samples (for #1):** best espresso machine for beginners 2026 · easiest espresso machine to use · beginner espresso machine with grinder · best first espresso machine for small kitchen · espresso machine for beginners reddit

**3 angles competitors miss:**
1. "The $200 vs $2,000 blind taste test" — does price actually change the cup?
2. A true total-cost-of-ownership breakdown (beans, descaler, filters) competitors hide.
3. "Espresso for renters" — countertop space, noise, and no-plumbing setups.

PRICE HISTORY0 cr · current

PROMPT TEMPLATE · v1.0.0

Research keywords for a topic cluster on "<TOPIC>" targeting <AUDIENCE>.
Deliver:
- Primary keyword (pillar)
- 12 supporting keywords with estimated intent (informational/commercial/transactional)
- 5 long-tail variants per supporting keyword
- 3 content angles competitors aren't covering.