Leading brands
Every month we measure how much room AI assistants give the leading brands of each sector and country, and which sources they rely on when they talk about them.
What it measures
For each sector the ranking shows how often a brand is named, recommended and cited in the answers, and its share of all mentions. It measures presence, not a judgement on the brand.
The measures the leading brands ranking reports for each sector, with the question each one answers and what it does not say.
| Measurement | What it answers | Does not say |
|---|---|---|
| Named | How often the brand appears in answers. | Whether the answer recommends it. |
| Recommended | How often it is indicated as the choice. | Whether the product really is better. |
| Cited | How often one of its pages is among the sources. | How much traffic it receives from there. |
| Share of mentions | Its share of the sector total. | Its market share. |
Where the list comes from
The brand list comes from Wikidata, an open dataset in which each brand has a stable identifier, and is completed with the brands that emerge in the other series. A name is recognised by its identifier, never by similarity.
The structure of an entry in the series list: the stable identifier, the name, the sector and the rule by which a brand is recognised.
Status of the editions
The brand list and the first month’s questions are being prepared. Without a closed edition above the thresholds, the page shows no names, shares or positions.
The preparation status of the leading brands ranking: what is ready, what is missing and when the page will show names and shares.
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, the brands and stores AI assistants suggest for the purchase categories with the most interest.
ReadEvery week and every month, the brands most present in articles, compared with what AI assistants answer.
Read