AI Search Volume Explorer — Keyword Demand Inside ChatGPT & AI Search

SEO tools tell you what people Google. This tells you what they ask AI. Measure AI search volume for any keyword — the GEO/AEO metric that traditional keyword tools don't have — side by side with Google volume, CPC, competition and intent.

As search shifts from Google to ChatGPT, Perplexity and other AI assistants, the keywords that matter are changing. This actor shows how often a keyword is actually asked inside AI, so you can optimize content for answer engines, not just search engines.

What does AI Search Volume Explorer do?

For every keyword you submit it returns one row with the keyword's AI search volume (estimated monthly searches inside AI assistants) and, by default, its classic Google search volume, CPC, competition and keyword difficulty, plus the AI-to-Google ratio that shows where AI demand is unusually strong. It can also add search intent, a 12-month AI demand history, and can expand seed keywords into up to 200 related keywords each before measuring them all. Results are sorted by AI search volume.

What you get per keyword

Field	Description
keyword	The keyword (lower-cased)
ai_search_volume	Estimated monthly searches inside AI assistants
trend_3mo_pct	Change in AI search volume over the last 3 months, in % (null when there is not enough history)
google_search_volume	Monthly Google searches (with Google volume on)
cpc	Google Ads cost per click, USD (with Google volume on)
competition / competition_level	Advertiser competition, 0–100 and LOW/MEDIUM/HIGH (with Google volume on)
keyword_difficulty	How hard it is to rank organically, 0–100 (with Google volume on)
ai_vs_google	ai_search_volume ÷ google_search_volume — above 1 means more AI demand than Google demand
search_intent	informational, navigational, commercial or transactional (with Google volume or search intent on)
ai_monthly_searches	12 months of AI search volume, newest first (with 12-month history on)
data_status	ok, or no_data when there is no AI demand record for a keyword you submitted — those rows are free

Use cases

• GEO / AEO strategy — prioritize keywords with real AI demand.
• Content planning — write for the questions people actually ask AI.
• Competitive edge — spot AI queries that are rising before competitors do.
• Client reporting — show the AI-search opportunity with numbers next to classic SEO metrics.
• AI agents — feed AI-demand data into automated content pipelines and MCP tools.

How to use

1. Enter your Keywords, one per line (up to 1,000 per run).
2. Pick a Country and Language.
3. Choose extras: Google volume/CPC/competition (on by default), search intent, 12-month history, or seed expansion.
4. Click Start, then export JSON, CSV or Excel, or pull the dataset via the Apify API.

Example input

{
  "keywords": ["best crm", "free crm", "crm for small business"],
  "locationCode": "2840",
  "languageCode": "en",
  "includeGoogleVolume": true,
  "includeSearchIntent": true
}

Input configuration

Field	Type	Default	Description
keywords	array of strings	— (required)	Keywords to measure, 1–1,000 per run. With expansion on, these are seeds (the first 20 are expanded).
locationCode	string	2840	Country: 2840 United States, 2826 United Kingdom, 2124 Canada, 2036 Australia, 2356 India, 2276 Germany, 2250 France, 2724 Spain, 2380 Italy, 2392 Japan.
languageCode	string	en	Language code, e.g. en, de, fr, es.
includeGoogleVolume	boolean	true	Add Google volume, CPC, competition, keyword difficulty and search intent.
includeSearchIntent	boolean	false	Add search intent (already included when Google volume is on).
includeMonthly	boolean	false	Add the 12-month AI search volume history.
expandKeywords	boolean	false	Expand each seed into up to 200 related keywords, then measure them all (1,000 keywords max per run).

Example output

A real row from a US run:

{
  "keyword": "best crm",
  "ai_search_volume": 3654,
  "google_search_volume": 2400,
  "ai_vs_google": 1.5225,
  "cpc": 74.29,
  "competition": 47,
  "competition_level": "MEDIUM",
  "keyword_difficulty": 35,
  "search_intent": "commercial",
  "trend_3mo_pct": 14.7,
  "data_status": "ok"
}

How much does it cost to check AI search volume?

Pay per event. No subscription.

Event	Price	When it is charged
Actor start	$0.02	Once per run
AI keyword	$0.005	Per keyword returned with AI search volume
Keyword metrics	$0.002	Per keyword enriched with Google volume/CPC/competition and/or search intent

Keywords with no AI demand data (data_status: "no_data") are returned but never charged. Keywords whose lookup fails are left out of the results, not charged, and counted as keywords_failed in the run summary. If every keyword fails, the run ends as FAILED and nothing is charged, not even the start event.

• 8 keywords with Google volume and intent: $0.02 + 8 × $0.005 + 8 × $0.002 = $0.076.
• 1 seed expanded into 200 related keywords (201 rows) with Google volume: $0.02 + 201 × $0.005 + 201 × $0.002 = $1.427.
• 1,000 keywords with Google volume: $0.02 + 1,000 × $0.007 = $7.02.

Minimum charge per run. Each data lookup has a fixed cost of its own, so very small runs are topped up to a minimum of roughly $0.035–$0.075 (the higher figure when Google volume is on) by adding a few AI-keyword units — for example, a 2-keyword run with search intent was billed $0.039. The run summary shows these as minimum_request_units_added; from about 8 keywords upward the minimum no longer applies. Batching keywords into one run is always cheaper than many small runs.

FAQ

What is AI search volume? An estimate of how often a keyword is searched inside AI assistants — the demand signal for AI/answer-engine optimization.

How is this different from Google search volume? Google volume measures classic search; AI search volume measures questions asked in AI assistants, a different and fast-growing channel. You get both in one row so you can compare them directly.

Which countries are supported? Ten markets: United States, United Kingdom, Canada, Australia, India, Germany, France, Spain, Italy and Japan.

Why do some expanded keywords show identical numbers? Close variants of the same query (for example "home workout" and "workout for home") are grouped by the data source and share one volume estimate.

Can I use it with AI agents and automation tools? Yes. The output is clean JSON, ready for n8n, Make, Zapier and MCP-based agents.

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Tags: ai search volume, GEO, AEO, generative engine optimization, answer engine optimization, chatgpt seo, ai keyword research, ai search, llm seo, keyword demand.