AI Search Visibility in Italy 2026
A frozen panel of 500 Italian queries observed across four AI surfaces in three separate runs, producing 6,000 final observations. The study shows why there is no single, universal “AI visibility”.
Telescop Research
Observe how AI represents brands, sources and markets.
Telescop Research publishes observational studies with a declared perimeter, verifiable methodology, versioned evidence and explicit limitations. The goal is to separate what was observed from what is inferred.
Published research
Research built from reproducible observation.
Read the English editorial editions of Telescop Research, with the same underlying datasets, identifiers and methodological boundaries as the Italian originals.
AI Energy Choice in Italy 2026
A structured research line observing how AI systems surface and recommend energy suppliers across choice-oriented prompts, with a separate evidence and recommendation framework.
Method
Four principles behind Telescop Research.
Declared scope
Each study states the market, panel, surfaces, observation window and what the results do — and do not — represent.
Separate observations
Runs and surfaces are kept distinct so divergence between AI systems can be measured instead of averaged away.
Versioned evidence
Methodology, datasets and public artifacts are versioned where possible, with DOI-backed releases for reproducibility.
Explicit limitations
Observed outputs are not treated as universal truth. Coverage, model behavior and time windows are part of the interpretation.
AI Search Visibility in Italy
500 queries · 4 AI surfaces · 3 complete runs · 6,000 observations.
500
Italian queries in the frozen panel.
4
AI surfaces compared separately.
3
Complete, separate observation runs.
Use research as a market instrument.
Public studies establish the method. Custom research can extend the same logic to a category, sector or competitive set.
Explore demand