Free AI keyword research tool

LLM Query Volume Tool

Estimate monthly query volume for any keyword across ChatGPT, Claude, Google Gemini, Microsoft Copilot, Perplexity, and Grok. Start with country-specific Google search data and see a transparent model of demand on the leading AI assistants.

Three free keyword and country checks per IP each day. No signup required.

What is LLM query volume?

LLM query volume is an estimate of how often people ask a large language model about a keyword, topic, product category, or problem. It is the AI-search counterpart to traditional keyword search volume. Marketers use it to prioritize topics for generative engine optimization, compare demand across AI platforms, and decide which prompts to monitor.

Unlike Google Ads, ChatGPT and other AI assistants do not publish keyword-level query counts. Any tool claiming exact ChatGPT search volume without first-party provider data is presenting an estimate. Sellm uses a proprietary model informed by established keyword demand, AI adoption patterns, provider usage, and current industry research.

How the LLM search volume calculator works

STEP 1

Enter a keyword and country

Choose the phrase and market you want to analyze. The country sets the Google Ads location and default language.

STEP 2

Retrieve Google demand

DataForSEO returns Google Ads-based monthly volume and a twelve-month search trend.

STEP 3

Model provider volume

Industry trends and provider usage signals shape a directional estimate for each major AI assistant.

How the estimate reflects AI search trends

A consistent market model blends keyword demand with changing AI adoption and provider usage patterns.

The model considers several industry signals rather than treating one public statistic as definitive. These include how people are shifting discovery behavior toward AI tools, differences in provider adoption, regional search patterns, and the relative maturity of each assistant. The methodology is versioned so results remain consistent while the market changes.

These factors are directional. A keyword's real AI demand can differ by intent. Research, comparison, troubleshooting, and how-to topics often fit conversational assistants better than navigational or local searches. Use the estimates to compare opportunities, then validate important prompts by tracking actual AI answers.

Data and methodology sources

How to use AI search volume in a GEO strategy

Prioritize prompt themes

Compare related keywords to find categories with enough demand to justify content, testing, and ongoing AI visibility tracking.

Compare provider opportunity

Use provider estimates to decide where to test first, while remembering that audience fit matters more than aggregate market share.

Build a prompt portfolio

Turn high-value keywords into natural questions buyers ask before purchasing, then monitor brand mentions and citations.

Report directional demand

Give stakeholders a reproducible opportunity estimate without mislabeling modeled data as first-party LLM query logs.

Frequently asked questions

Is LLM query volume the same as Google search volume?

No. Google volume is measured by Google Ads and used as a baseline. LLM volume is a modeled estimate because AI providers do not expose comparable keyword-level data.

Can I check ChatGPT search volume?

You can estimate ChatGPT demand for a keyword. The result should not be interpreted as an exact count of prompts sent to ChatGPT.

Which AI providers are included?

The tool currently models ChatGPT, Claude, Google Gemini, Microsoft Copilot, Perplexity, and Grok.

How often is the data updated?

Google Ads search volume is refreshed on a monthly cycle and cached for up to 30 days. The LLM factor set is versioned and updated when materially better industry data becomes available.

Why are results different by country?

The Google baseline reflects demand in the selected country and its default language. Provider factors are currently global directional benchmarks rather than country-specific LLM usage measurements.