Citation source analysis
Which sources are shaping model output, and what you can influence directly.
AI has already formed a view of your brand. Do you know what it is — or why?
Geometriqs is an independent AI visibility research practice. We run structured, persona-driven studies across major LLM platforms to show brands and agencies where they stand, what's shaping it, and what to do about it.
We partner with agencies to diagnose and improve their clients' visibility in generative AI answers. Benchmark first, monitor second.
What you get from a Geometriqs study
Platform diagnostics
How output differs across ChatGPT, Gemini, and Perplexity.
Structured methodology
A rigorous five-step process from persona design through to prioritised actions.
How a typical study works
01
Persona design
Define realistic user types and intent categories for the sector.
02
Prompt set
Build controlled prompt sets, typically 1,000+ prompts per study.
03
Cross-model run
Run across ChatGPT, Gemini, and Perplexity in training-only and grounded modes.
04
Diagnostic analysis
Assess prominence, sentiment rationale, and citation source influence.
05
Priority actions
Return clear recommendations on what matters most and what to do next.
Our methodology
Our research methodology is built around how real users interact with AI — not keyword lists or generic prompts.
Each study uses realistic personas, 1,000+ controlled prompts, and cross-platform runs in both training-only and web-grounded modes. We classify prominence, analyse sentiment rationale, and map citation sources to show what is driving model output.
The result is structured diagnostic research that makes LLM monitoring tools more effective and actionable.
Request a quote
Brief us on your requirements and we will scope the right diagnostic study for you.
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