Your page ranks on Google, yet ChatGPT never cites it. One common reason: when someone asks an AI for the best option in your market, the model doesn't run one search. It splits the question into several hidden searches (reviews, comparisons, this year's picks) and picks its sources from those results. Sorank's query fan-out tracker records these real sub-queries every week, model by model, so you write the pages AI is actually looking for.

23,340
Articles created
10,041,747
Visits from Google
14,760
Visits from AI

A buyer asks: "What's the best coffee subscription?" The AI doesn't search that sentence. It searches things like "best coffee subscription 2026", "coffee subscription for beginners review" or "fresh roasted coffee delivery", then reads the pages that come up.
These sub-queries are written by the machine. They are often longer and more specific than anything in a keyword tool, and they decide which pages get read and earn AI citations. Without seeing them, you guess which angle to cover, and your best page can rank on Google while ChatGPT never picks it.
Fan-out generators simulate what an AI might search. Sorank records what it did search. Every week, your tracked prompts are sent to the AIs in your plan: up to five, among ChatGPT, Claude, Gemini, Perplexity and Grok. The sub-queries each model runs are logged and counted, model by model.
The AI query ranking shows which sub-queries come back week after week, how many times each one was used and which AI relies on it most. Filter by model to compare what ChatGPT, Claude or Gemini look for. A one-off snapshot becomes a query fan-out tracker you can act on.


A list of sub-queries only helps if it becomes content. The fan-out keywords Sorank captures feed your keyword research and your topical clusters, where they are checked for cannibalization. They then land in your editorial calendar, ready to be written and published on autopilot.
Next to them, the AI sources view lists the websites the models use as sources when they mention you, and the competitor ranking shows the domains AI cites most in your market. You see the angles you are missing and the sites AI already trusts.
| By hand | Fan-out generators | With Sorank | |
|---|---|---|---|
| What you see | The searches one AI shows you, prompt by prompt | What an AI might search (an estimate) | What AI models did search on your prompts |
| How often | When you find the time | One-off, per run | Every week, automatically |
| AI models | One at a time | Usually one per run | Up to five depending on the plan, counted per model |
| What comes first | Gut feeling | A flat list | Sub-queries ranked by how often AI uses them |
| Next step | Copy into a spreadsheet | Export, then everything is left to do | Sent to your clusters and calendar, cannibalization checked |
Your tracked prompts are grouped by category (understanding, benefits, comparison, quality, selection) and sent to AI every week.
The sub-queries each AI runs are logged and counted, model by model.
The most-used sub-queries feed your clusters and your calendar, ready to become articles.
THEY WIN WITH SORANK




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Founder’s Note.
I ran my own SEO agency for years. I built Sorank to deliver the same results to every business, at scale.
Everything I know about Google rankings and Generative Engine Optimization (GEO) is coded into this software, and it runs on autopilot for you.
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Query fan-out is how the AIs answer: they break one question into several searches, read the results, then write a single answer. Sorank's tracker is built on weekly prompt tracking. Each time a tracked prompt is sent to an AI model, Sorank keeps the final answer and, when the model shows them, the sub-queries it ran to get there, then counts them across weeks and models. These are observed searches, not estimates, which makes them a solid input for GEO (generative engine optimization): you see what AI looks for in your market and which sources it trusts. Sorank covers up to five AIs depending on the plan (ChatGPT, Claude, Gemini, Perplexity and Grok). It does not track Google AI Overviews.
Confirm the demand behind your fan-out keywords with Keyword Research, group them with the Topical Cluster Generator, and turn the best ones into articles with the Blog Article Generator. Check how often AI mentions you with AI Mention Tracking and who it recommends instead with the GEO Leaderboard. New to the topic? Read our definitions of query fan-out, AI grounding and AI citations, or check your site with the free AI Search Visibility Test.
Query fan-out is the technique the AIs use to answer a question: they break it into several related searches (sub-queries), run them, read the results and combine them into one answer. Google uses the term for AI Overviews and AI Mode, and assistants like ChatGPT, Gemini, Claude, Perplexity or Grok do the same when they search the web before answering. That's why a page can rank for your main keyword and still never be read by the AI. Sorank tracks it on up to five AIs depending on the plan, not on Google AI Overviews.
A fan-out keyword is one of the sub-queries an AI model searches before answering a broader question. For "best coffee subscription", it might be "best coffee subscription 2026" or "coffee subscription for beginners review". These keywords show the exact angles AI looks for, which makes them direct content opportunities.
A query fan-out tracker records the sub-queries AI models actually ran on your prompts. A generator, or simulator, uses an AI model to estimate which sub-queries a prompt might trigger. That helps for brainstorming, but the list changes from run to run and isn't what the engines really searched. Sorank is a tracker: it captures sub-queries every week and counts how often each one comes back, per model.
Up to five AIs depending on your plan: ChatGPT, Claude and Gemini are always included, Perplexity and Grok depend on the plan. Sub-queries are counted for each model that shows its searches, and you can filter the ranking by model. Google AI Overviews and AI Mode are not tracked.
Every week. Each weekly analysis sends your tracked prompts to the AI models again and adds the new sub-queries to the counts. AI answers vary from one run to the next, so this regular rhythm shows which queries are stable and which are new, instead of relying on a single snapshot.
Because they're written by machines, not typed by people. They're often long, very specific and too recent to have a measured search volume, so classic keyword databases miss them. That's why Sorank ranks them by how often AI uses them, not by search volume.
Start with the sub-queries AI uses most. Answer them in a focused section of an existing page, or create a dedicated article when the angle is new. In Sorank, they flow into your clusters, get checked for cannibalization and land in your editorial calendar, so writing them can run on autopilot.
No, and no tool can promise that. Which pages AI models cite also depends on how well those pages rank in the results the AI reads and on how closely they answer the query. Fan-out keywords tell you which questions to answer, and Sorank's weekly visibility tracking then shows whether AI starts mentioning you.
We don't. Sorank isn't trying to be another Semrush or Ahrefs. Those tools are built for data, Sorank is built to do the work. Instead of more dashboards to check, it turns SEO and GEO insights into actions: articles written and published, backlinks earned, technical fixes and AI visibility tracking. Less complexity, more results.
From $49/month per website on a yearly plan, with a 3-day free trial and a 90-day money-back guarantee. Every plan includes articles, AI visibility tracking and access to the Backlink Network; higher plans add more articles, more AIs tracked and more backlink credits. No setup fees, no paying for seats you don't use.
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