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The GEO Index · France

The publishers and platforms AI models reach for when answering France-market questions, ranked by citation share, with weekly movement.

Rolling 4 weeks: 10,544 citations · 2,688 model responses · every named domain seen across ≥ 2 independent projects

This week's movers

Citation-share change, week commencing 2026-09-28 vs 2026-10-05. Minimum 25 citations in both weeks and a 0.2pp move to qualify; domains newly added to monitoring don't count as movers.

Gaining

No qualifying gainers this week.

Declining
youtube.com 3.2% → 2.7% ▼ -0.5pp
facebook.com 1.8% → 1.3% ▼ -0.4pp

Most-cited websites · France

Top 50 domains by share of all citations in the rolling window. The trend column is the weekly share trajectory.

#DomainShareCitationsTrend
1 youtube.com 3.4% 358 All models · France → youtube.com · w/c 21 Sept · 4.3%All models · France → youtube.com · w/c 28 Sept · 3.2%All models · France → youtube.com · w/c 5 Oct · 2.7%All models · France → youtube.com · w/c 12 Oct · 3.7%
2 facebook.com 1.9% 198 All models · France → facebook.com · w/c 21 Sept · 2.1%All models · France → facebook.com · w/c 28 Sept · 1.8%All models · France → facebook.com · w/c 5 Oct · 1.3%All models · France → facebook.com · w/c 12 Oct · 2.3%
3 quechoisir.org 1.7% 174 All models · France → quechoisir.org · w/c 21 Sept · 3.3%All models · France → quechoisir.org · w/c 28 Sept · 1.7%All models · France → quechoisir.org · w/c 5 Oct · 0.8%All models · France → quechoisir.org · w/c 12 Oct · 1.3%
4 ameli.fr 1.5% 153 All models · France → ameli.fr · w/c 21 Sept · 0.4%All models · France → ameli.fr · w/c 28 Sept · 3.3%All models · France → ameli.fr · w/c 5 Oct · 1.2%All models · France → ameli.fr · w/c 12 Oct · 0.3%
5 gouv.fr 1.4% 151 All models · France → gouv.fr · w/c 21 Sept · 0.5%All models · France → gouv.fr · w/c 28 Sept · 1.2%All models · France → gouv.fr · w/c 5 Oct · 1.3%All models · France → gouv.fr · w/c 12 Oct · 2.5%
6 reddit.com 1.0% 101 All models · France → reddit.com · w/c 21 Sept · 1.2%All models · France → reddit.com · w/c 28 Sept · 0.6%All models · France → reddit.com · w/c 5 Oct · 0.6%All models · France → reddit.com · w/c 12 Oct · 1.5%
7 instagram.com 0.9% 90 All models · France → instagram.com · w/c 21 Sept · 1.0%All models · France → instagram.com · w/c 28 Sept · 0.4%All models · France → instagram.com · w/c 5 Oct · 0.1%All models · France → instagram.com · w/c 12 Oct · 1.8%
8 ademe.fr 0.5% 57 All models · France → ademe.fr · w/c 21 Sept · 0.8%All models · France → ademe.fr · w/c 28 Sept · 0.5%All models · France → ademe.fr · w/c 5 Oct · 0.5%All models · France → ademe.fr · w/c 12 Oct · 0.5%
9 joybuy.fr 0.4% 45 All models · France → joybuy.fr · w/c 21 Sept · 0.5%All models · France → joybuy.fr · w/c 28 Sept · 0.4%All models · France → joybuy.fr · w/c 5 Oct · 0.1%All models · France → joybuy.fr · w/c 12 Oct · 0.6%
10 wikipedia.org 0.4% 40 All models · France → wikipedia.org · w/c 21 Sept · 0.7%All models · France → wikipedia.org · w/c 28 Sept · 0.2%All models · France → wikipedia.org · w/c 5 Oct · 0.6%All models · France → wikipedia.org · w/c 12 Oct · 0.2%
11 decathlon.fr 0.4% 39 All models · France → decathlon.fr · w/c 21 Sept · 2.0%All models · France → decathlon.fr · w/c 12 Oct · 0.0%
12 carrefour.fr 0.3% 32 All models · France → carrefour.fr · w/c 21 Sept · 0.2%All models · France → carrefour.fr · w/c 28 Sept · 0.7%All models · France → carrefour.fr · w/c 5 Oct · 0.2%All models · France → carrefour.fr · w/c 12 Oct · 0.0%
13 service-public.fr 0.3% 31 All models · France → service-public.fr · w/c 28 Sept · 0.1%All models · France → service-public.fr · w/c 5 Oct · 0.2%All models · France → service-public.fr · w/c 12 Oct · 0.8%
14 anses.fr 0.3% 29 All models · France → anses.fr · w/c 21 Sept · 0.3%All models · France → anses.fr · w/c 28 Sept · 0.2%All models · France → anses.fr · w/c 5 Oct · 0.7%All models · France → anses.fr · w/c 12 Oct · 0.1%
15 tiktok.com 0.3% 29 All models · France → tiktok.com · w/c 21 Sept · 0.5%All models · France → tiktok.com · w/c 28 Sept · 0.2%All models · France → tiktok.com · w/c 5 Oct · 0.2%All models · France → tiktok.com · w/c 12 Oct · 0.3%
16 wespring.com 0.3% 27
17 lesfurets.com 0.3% 27
18 darty.com 0.2% 26
19 lacentrale.fr 0.2% 25
20 ouest-france.fr 0.2% 22
21 vidal.fr 0.2% 22
22 topsante.com 0.2% 22
23 nike.com 0.2% 21
24 20minutes.fr 0.2% 21
25 bfmtv.com 0.2% 20
26 lemonde.fr 0.2% 20
27 dailymotion.com 0.2% 16
28 pharmashopi.com 0.1% 15
29 radins.com 0.1% 15
30 leparisien.fr 0.1% 14
31 nih.gov 0.1% 13
32 auchan.fr 0.1% 13
33 europa.eu 0.1% 13
34 cosmopolitan.fr 0.1% 12
35 marmiton.org 0.1% 10
36 lekaba.fr 0.1% 10
37 capital.fr 0.1% 8
38 stylight.fr 0.1% 8
39 wecasa.fr 0.1% 7
40 jechange.fr 0.1% 6
41 eniplenitude.fr 0.0% 5
42 femmeactuelle.fr 0.0% 5
43 inc-conso.fr 0.0% 5
44 noovomoi.ca 0.0% 5
45 monoprix.fr 0.0% 5
46 patagonia.com 0.0% 5
47 digital-report.net 0.0% 5
48 vogue.fr 0.0% 5
49 shopadvizor.com 0.0% 5
50 forbes.com 0.0% 4

The race for the top

Where the leading sources sat against each other, week by week. Rank space makes every crossing an event.

Figure 1The race for the top of the index
The race for the top of the index#1#2#3#4#5#621 Sept28 Sept5 Oct12 Octyoutube.com: #1 → #1 youtube.com facebook.com: #3 → #3 facebook.com quechoisir.org: #2 → #5 quechoisir.org ameli.fr: #6 → #6 ameli.fr gouv.fr: #5 → #2 gouv.fr reddit.com: #4 → #4 reddit.com 3 places lost quechoisir.org, #2 → #5
Rank within the top 6 sources, week by week. Only the biggest mover is coloured; the greys are the rest of the field.
Data table
Series21 Sept28 Sept5 Oct12 Oct
youtube.com1211
facebook.com3323
quechoisir.org2455
ameli.fr6146
gouv.fr5532
reddit.com4664

3 places lost: quechoisir.org, #2 → #5 (12 Oct)

Methodology

  • What's counted: every citation/source URL returned by citation-capable AI models for France-market projects across the rolling 4 ISO weeks, aggregated from every analysis run on BrandInsightAI. Citations deduplicate to one registrable domain per model response.
  • Quality gate: a domain must appear across ≥ 2 distinct projects to be named; shares are computed against ALL citations in scope, so the gate hides names, never distorts percentages.
  • Movers: week-over-week comparisons use the two most recent COMPLETE ISO weeks (2026-09-28 → 2026-10-05); the in-progress week is excluded because it refreshes hourly, and a domain must clear the citation floor in BOTH weeks, so a newly monitored category entering the dataset never shows up as a gainer.
  • Freshness: the snapshot behind this page recomputes every hour. All figures are measured, never estimated.

Where next

This board answers "which websites does AI cite?". These answer the questions that come next — which brands it recommends, which sources each model prefers, and how any of it is counted.