What is Query Fan Out?
This query fan out tool simulates what ChatGPT, Gemini, Perplexity, and Google AI Mode actually do behind the scenes: when someone asks them a question, they don't search once. It decomposes the query into 8-12 AI search sub-queries, fetches information for each, and merges everything into a single answer. Gemini 3 averages 10.7 sub-queries per prompt. 95% of these have zero traditional search volume — standard keyword tools can't see them.
Here's why that matters: 68% of pages cited in AI Overviews aren't in the top 10 organic results. You could rank #1 for the original query and still be invisible to AI search if your content doesn't answer the sub-queries the AI actually researches.
How this tool helps
This query fan-out simulator shows which sub-queries an AI would generate for your topic, previews how a chatbot would answer (with the brands it would cite), and pulls live Google SERP results, PAA questions, and AI Overviews for each sub-query. It turns an invisible process into a content gap map you can act on.
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FAQ
How does this tool work?+
The tool simulates how AI search engines (Gemini, ChatGPT, Perplexity) decompose your query into 8–12 sub-queries. It also generates a synthesized AI chatbot answer for your main query plus a list of likely cited brands. For each sub-query you can load real Google SERP results, People Also Ask questions and the actual Google AI Overview (when one is shown) via DataForSEO.
What is the ChatGPT Simulation?+
The card at the top shows how a modern AI chatbot would likely answer your query. It's an approximation, not a live ChatGPT/Gemini response — but it gives a realistic preview of the synthesized answer and the domains/brands that AI search engines typically cite for that topic. Use it to spot which competitors are likely to dominate AI-mediated search for your query.
When does an AI Overview show up?+
Google only triggers AI Overviews for a subset of queries — mostly informational, research-style questions. Navigational, transactional, or very specific sub-queries rarely get one. When an AI Overview exists for a sub-query, the tool fetches it live via DataForSEO and shows the generated text plus the cited sources. US English queries trigger AI Overviews most often; coverage in other markets varies.
What is citability?+
Citability (0–100) estimates how likely an AI search engine is to cite external sources for a given sub-query. Factual queries with clear answers (e.g. product specifications) have high citability. Subjective or common knowledge queries have lower citability.
How accurate are the sub-queries?+
The sub-queries are AI-simulated, not captured from live Gemini/ChatGPT sessions. They represent realistic fan-out patterns based on research showing typical decomposition strategies. The real Google SERP data, People Also Ask questions and AI Overviews are pulled live from Google via DataForSEO.
What's the daily limit?+
10 free analyses per day. Each analysis uses 1 AI credit plus SERP credits for sub-query lookups. For unlimited access, enter your own OpenAI and DataForSEO API keys in Settings.
Are ChatGPT fan-outs still active?+
Yes. With GPT-5.3 (March 2026), OpenAI temporarily suppressed web fan-outs — the average dropped from ~2.2 queries per answer to nearly zero. As of April 2026, fan-outs are back and rising. OpenAI actively experiments with how much ChatGPT searches the web vs. relying on training data, so fan-out volume can fluctuate. When fan-outs are high, your content has more chances to be discovered and cited.
Can I analyze queries in different languages?+
Yes. Select your target country and language. The AI generates sub-queries and the AI Answer Simulation in the appropriate language, and the SERP results reflect local Google rankings for that market.
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