Generate a query fan-out for any prompt
See the hidden sub-queries an AI engine expands your prompt into, grouped by intent, then act on the gaps with Omnia Agent.
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How it works
Add your prompt
Type the prompt or topic a buyer would ask an AI engine, like "best project management software." Add your domain if you want gap analysis.
Omnia Agent expands it
Omnia Agent generates the full set of sub-queries the engine splits your prompt into, then groups them by intent: comparison, pricing, alternatives, and proof.
Finds your gaps
Omnia Agent shows which sub-queries you are already cited for and which ones you are missing, so you know exactly where AI answers leave you out.
Helps you close them
Omnia Agent drafts the content and placements to win the missing sub-queries and, with your approval, publishes them so you start showing up.
Generate your query fan-out
One prompt rarely stays one query: AI engines like Google AI Mode and ChatGPT split it into many sub-queries before they answer.
Add the prompt you want to expand
One prompt or topic. This is the question a buyer would type into ChatGPT, Claude, or Google AI Mode.
So Omnia Agent flags which sub-queries you already win and which you are missing.
Enter a valid domain (for example yourbrand.com).
Let Omnia Agent generate the fan-out
Send this to Omnia Agent. It generates the complete set of sub-queries an AI engine expands your prompt into, grouped by intent, and shows where you are cited and where you are not.
Omnia Agent does 95% of your GEO work while you orchestrate the other 5%
Improves your AI visibility
Omnia Agent prioritizes the moves with the most leverage, acts on them, and measures whether your visibility actually moved.
With 3rd party outreach
Omnia Agent finds the sites worth pitching, drafts the emails, and can send them from your inbox, after you approve them.
With new and existing content
Omnia Agent writes content in your tone of voice, rewrites the ones losing citations, and prepares them to be approved by you.
While reporting on your AI visibility shifts
Omnia Agent analyzes how your visibility is changing across every major AI engine and reports back to you.
What else Omnia Agent can do
Frequently Asked Questions
A query fan-out is when an AI engine takes one prompt and silently expands it into many related sub-queries before it answers. Instead of searching your exact words, engines like Google AI Mode and ChatGPT branch the prompt into questions about comparisons, pricing, alternatives, and proof, then pull sources for each one and synthesize a single answer. This means the brands that win are the ones cited across the whole fan-out, not just the original phrase. Omnia Agent generates the full fan-out for any prompt so you can see every sub-query you need to show up in.
ChatGPT and other AI engines break a single prompt into multiple search queries, run them in parallel, and combine the results into one response. A prompt like "best CRM for startups" can trigger separate sub-queries for pricing, integrations, ease of use, and competitor comparisons. Each sub-query pulls its own sources, so you can be cited for one and invisible for the rest. Omnia Agent shows you the full ChatGPT fan-out and marks exactly which sub-queries your brand is missing.
It matters because optimizing for one prompt covers only a fraction of how AI actually answers it. If an engine expands your prompt into ten sub-queries and you are cited in two, you are absent from most of the answer the user reads. Fan-out is where share of voice is really won or lost in AI search. Omnia Agent maps the complete fan-out, scores your presence across every sub-query, and turns the gaps into a prioritized list of content and placements to fix.
Yes. Once Omnia Agent maps the fan-out and flags the sub-queries you are missing, it drafts the content and placements needed to win them. You stay in control: Omnia Agent does about 95 percent of the work and drafts, sends, or publishes only after you approve each action. You orchestrate and approve, Omnia Agent executes, and your brand starts appearing across the full set of sub-queries rather than just one.