Before buying
People about to buy ask the assistant for advice more and more often. Every month we count which brands and which stores AI assistants suggest for the purchase categories with the most interest.
What it measures
For each category we ask what to buy, what to choose between two options and what to get with a given budget. The ranking shows which brands the assistant names first and which stores it points to.
The three phrasings the purchase series uses for each category, with an example for one category and what each one brings out.
| Phrasing | Example | What emerges |
|---|---|---|
| What to buy | “Which air fryer should I buy?” | The brand suggested first. |
| Between two options | “Is a three- or a five-litre air fryer better?” | How the assistant compares the options. |
| Within a budget | “Which air fryer under a hundred euros?” | Brands and shops for a price range. |
Where the topic comes from
The purchase categories are a stable editorial list for each country, ordered every month by search interest in the Google Trends Shopping category. No third-party sales ranking is copied.
The steps by which the editorial list of purchase categories is ordered every month by interest, without copying third-party sales rankings.
A stable editorial list of purchase categories for each country.
Search interest from the Shopping category of Google Trends.
The categories with the most interest move to the top of the edition.
Status of the editions
The first month’s categories are being prepared. Without an edition above the declared thresholds, this page shows no brands, stores or percentages, and no test data takes their place.
The preparation status of the purchase ranking: what is ready, what is missing and what the page will not show until the edition comes out.
Related paths
The Observatory publishes rankings with their methodology. From here you move on to the other series, to the edition methodology and to the page that brings them all together.
Regular rankings of which brands AI assistants name first, in six countries, with a public method and open data under a CC BY 4.0 licence.
ReadHow every Observatory ranking is built: published questions, repetitions, 95% intervals, thresholds, topic sources and corrections.
ReadEvery week, the topics rising in searches and the brands AI assistants name first, country by country.
ReadEvery month, the questions customers ask before choosing and the brands AI assistants recommend, sector by sector.
ReadEvery month, how much room AI assistants give the leading brands of each sector and country, and with which sources.
ReadEvery week and every month, the brands most present in articles, compared with what AI assistants answer.
Read