Know when ChatGPT mentions, recommends and cites your brand.
Measure high-intent prompts, recommendation context, cited pages and competitor answer share across a repeatable question set.
Preserve the answer and the evidence behind it.
The formal project keeps question, answer, source and competitor context together for repeatable review.
Visibility evidence
Last 30 daysOpenAI explains that search-backed ChatGPT answers can include inline citations and a Sources panel.
OpenAI ChatGPT Search ↗What to inspect in ChatGPT.
Keep a shared core framework, then add the engine-specific evidence needed to explain differences.
A repeatable ChatGPT visibility workflow.
The goal is evidence-led improvement, not guaranteed placement.
Keep exploring
Questions about GEO for ChatGPT
Does every ChatGPT answer include citations?
No. Search-backed answers may include inline citations and a Sources panel, while other answers can rely on model knowledge without visible sources.
What should we measure beyond mentions?
Track recommendation context, cited pages, competitor answer share and the questions where your brand is absent.
Can we guarantee placement in ChatGPT?
No. No optimization method can guarantee placement. The practical goal is to improve crawlability, evidence quality and consistency, then measure outcomes over time.
How often should ChatGPT be re-measured?
Often enough to separate a real change from sampling variance. A single run is a baseline, not a trend.
Why does ChatGPT name a competitor instead of us?
Usually because the evidence it can read about them is clearer or more corroborated. That gap is what the knowledge base and content work are for.
Do results from ChatGPT transfer to other engines?
Partly. The underlying evidence is shared, but retrieval behaviour and citation formats differ, so each engine is still measured on its own.
Build a measurable ChatGPT visibility program.
Create a project, confirm your market and start measuring the questions that matter.