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Data & method: how our guides are made

Transparency about our data, our process and our limits.

Our data sources

We aggregate search-volume data (via search-data APIs) and use our own internal data: real questions from Google’s “People Also Ask” and anonymous usage statistics. This data helps us choose topics that genuinely interest readers.

How a guide is made

1) Topic research from real demand. 2) AI-assisted drafting from documented sources. 3) Automatic source checking (dead links and relevance). 4) Human review and validation. 5) Publication, then periodic updates.

What we do not do

We do not physically test products and we never claim to. We never invent figures or studies: any numeric claim attributed to a third party is forbidden. Medical and veterinary topics are excluded. Prices and availability shown by merchants may vary and are not guaranteed.

Transparency and limits

Our use of artificial intelligence is disclosed. Content may still contain inaccuracies despite our checks: please cross-check important information with the official sources cited. To report an error, use the contact page.

Our public data

Each year we publish an observatory of home-related searches based on aggregated data. These analyses are orders of magnitude meant to highlight trends, not exact measurements.

Data updated : 28/09/2026

See the search observatory

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