How is AI search volume different from Google search volume?

Google search volume measures how often users type a query into the traditional Google search bar. AI search volume tracks the same kind of behaviour but inside AI platforms — ChatGPT, Perplexity, Google AI Overviews, etc. The two can differ significantly: long-form conversational queries tend to have higher AI volume than Google volume, while transactional queries (buy, download) may still skew toward traditional search. Both metrics matter for a full-funnel content strategy.

What does the 3-month forecast represent?

The 3-month forecast is a linear regression prediction based on the last 6 months of actual AI search volume data for that keyword. It projects the trend forward — if a keyword has been growing at a consistent rate, the forecast will show continued growth; if it has been declining, it will show continued decline. This is a statistical estimate, not a guaranteed outcome, but it helps identify which keywords are accelerating in AI engagement versus which are plateauing.

What are "AI Overview Citations" and why do they matter?

Google AI Overview citations are the sources that Google's AI-generated answer boxes reference at the top of search results. When your domain appears as a citation in an AI Overview, your content is being used as evidence for a synthesised answer shown to millions of users. This is distinct from ranking in the traditional blue-link results — you can appear in an AI Overview citation without ranking in the top 10 organically. Tracking which competitors appear in these citations shows you the content and authority gap you need to close.

Why does the ChatGPT answer matter for keyword research?

The ChatGPT answer for a keyword shows you what users actually get when they ask that question through AI. This reveals: (1) whether the AI gives a direct answer or recommends further research; (2) which competitors are being surfaced as sources; (3) what framing and information structure the AI considers authoritative. If a competitor's content is repeatedly cited in ChatGPT answers for high-volume keywords, that content structure is worth analysing and matching in your own AEO strategy.

How do I use this tool for content strategy?

Start by entering the 10–20 keywords that are most important to your business. Sort by AI search volume to find which topics have the highest AI engagement. Use the trend chart to identify fast-growing queries — these are your highest-priority content investments. For your top 3–5 keywords, run competitor analysis to see who ChatGPT and Google AI Overview are currently citing. If competitors consistently appear there and you don't, their page structure, schema markup, or authority signals are outperforming yours for that query.

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★ PRO Tool

AI Search
Volume Trends

Enter up to 20 keywords to see their AI search volume, 12-month trend, 3-month forecast, and who ranks for them in ChatGPT and Google AI Overview.

Definition

What Is AI Search Volume?

Direct Answer

AI search volume is the estimated number of times users submit a specific query through AI-powered engines — ChatGPT, Google AI Overviews, Perplexity, and Gemini. It measures demand in the AI search channel, which now runs parallel to traditional Google search and is growing significantly faster for conversational and research-intent queries.

Traditional keyword research tools measure Google search volume — how often users type a query into Google's search bar. AI search volume captures a different behaviour: users asking a question directly to an AI model and expecting a synthesised answer. These two channels increasingly overlap but are not the same audience or intent.

As ChatGPT surpasses 900M weekly active users and Google AI Overviews appear in the majority of informational searches, understanding which keywords have significant AI search volume — and which competitors are being cited for them — is now a core part of any content strategy.

The Opportunity

Most Brands Are Missing the AI Search Channel

Traditional keyword tools don't show AI search volume. Most brands are optimising for a channel that's growing slowly while ignoring the one that's growing fast.

Keywords with No Google Volume Have AI Volume

Long, conversational queries like "what should I look for in an AEO strategy" show minimal Google search volume but significant AI search volume. These are the questions users are taking directly to ChatGPT — and your competitors may already be cited in the answers.

AI Volume Predicts Future Google Volume

Many topics gain traction in AI search before they appear significantly in Google search data. Tracking AI volume trends lets you identify emerging queries 3–6 months earlier and create content while competition is still low.

Citations Beat Rankings in AI Search

In traditional SEO, ranking #1 matters most. In AI search, being cited as a source in the AI answer matters — and that requires different signals: direct-answer structure, schema markup, and topical authority rather than just link count.

// How to Use

3 Steps to AI Keyword Research

Enter Up to 20 Keywords

Type or paste up to 20 keywords or queries — one per line. These can be brand terms, topical queries, or product categories. The tool checks each keyword against real AI search volume data from DataForSEO.

Review AI Search Volume & Trends

Each keyword shows its current monthly AI search volume — how many times users ask this query through AI engines. Click "Show Trend" to expand the 12-month historical chart with a 3-month linear regression forecast shown as a dashed line.

Analyse Who Ranks for It in AI

Click "Competitor Analysis" on any keyword to open the side panel. You'll see what ChatGPT says about that query, which domains are cited in Google AI Overview, which sites appear in top AI citations, and who holds the top 10 Google organic positions.

// FAQ

AI SearchVolume Trends