Find question-based Google Autocomplete suggestions for any topic. Prepends question modifiers (what, how, why) to a seed topic and returns real autocomplete suggestions — useful for AEO prompt research, content ideation, and understanding what people ask about a topic. Use when the user wants to discover questions people search for, find content angles, or do keyword/prompt research for a topic.
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See how to installReview the instructions the agent will receive before you install.
Discover what questions people ask about a topic by querying Google Autocomplete with question modifiers.
Run the script from the skill directory:
python3 scripts/find_questions.py "travel itinerary"
--modifiers what how why should — override default modifiers (default: what how why should can does is when where which will are do)--delay 0.5 — seconds between requests (use 0.5–1.0 when running many topics in batch)--json — output as JSON for programmatic use--volume — fetch avg monthly search volume via DataForSEO (reads creds from macOS Keychain: dataforseo-login / dataforseo-password, or env vars DATAFORSEO_LOGIN / DATAFORSEO_PASSWORD)--location 2840 — DataForSEO location code (default: 2840 = US)--lang en — language code for volume lookup (default: en)# Default modifiers (what, how, why)
python3 scripts/find_questions.py "protein powder"
# Custom modifiers
python3 scripts/find_questions.py "travel itinerary" --modifiers what how why should when
# JSON output
python3 scripts/find_questions.py "travel itinerary" --json
Google Autocomplete is an unofficial endpoint. Single-topic runs (10 requests) are safe. When running multiple topics in batch or parallel, always use --delay 0.5 or higher to avoid temporary IP blocks.
For each modifier, the script queries https://suggestqueries.google.com/complete/search with "{modifier} {topic}" and returns the autocomplete suggestions. No API key required.
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