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The GEO Index · Germany

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

Rolling 4 weeks: 6,467 citations · 1,581 model responses · every named domain seen across ≥ 2 independent projects

This week's movers

Citation-share change, week commencing 2026-08-31 vs 2026-09-07. 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

No qualifying decliners this week.

Most-cited websites · Germany

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

#DomainShareCitationsTrend
1 youtube.com 3.5% 226 All models · Germany → youtube.com · w/c 17 Aug · 2.5%All models · Germany → youtube.com · w/c 24 Aug · 4.8%All models · Germany → youtube.com · w/c 31 Aug · 4.6%All models · Germany → youtube.com · w/c 7 Sept · 3.0%
2 reddit.com 1.7% 109 All models · Germany → reddit.com · w/c 17 Aug · 2.4%All models · Germany → reddit.com · w/c 24 Aug · 2.2%All models · Germany → reddit.com · w/c 31 Aug · 0.7%All models · Germany → reddit.com · w/c 7 Sept · 0.1%
3 instagram.com 1.2% 79 All models · Germany → instagram.com · w/c 17 Aug · 2.0%All models · Germany → instagram.com · w/c 24 Aug · 1.4%All models · Germany → instagram.com · w/c 31 Aug · 0.2%All models · Germany → instagram.com · w/c 7 Sept · 0.4%
4 google.com 1.2% 75 All models · Germany → google.com · w/c 17 Aug · 0.3%All models · Germany → google.com · w/c 24 Aug · 5.1%All models · Germany → google.com · w/c 31 Aug · 0.2%All models · Germany → google.com · w/c 7 Sept · 0.3%
5 verbraucherzentrale.de 0.9% 60 All models · Germany → verbraucherzentrale.de · w/c 17 Aug · 0.7%All models · Germany → verbraucherzentrale.de · w/c 24 Aug · 0.3%All models · Germany → verbraucherzentrale.de · w/c 31 Aug · 0.1%All models · Germany → verbraucherzentrale.de · w/c 7 Sept · 4.4%
6 aad.org 0.8% 49
7 dm.de 0.7% 47 All models · Germany → dm.de · w/c 17 Aug · 1.6%All models · Germany → dm.de · w/c 7 Sept · 0.1%
8 facebook.com 0.6% 37 All models · Germany → facebook.com · w/c 17 Aug · 0.8%All models · Germany → facebook.com · w/c 24 Aug · 0.6%All models · Germany → facebook.com · w/c 31 Aug · 0.3%All models · Germany → facebook.com · w/c 7 Sept · 0.3%
9 test.de 0.5% 35 All models · Germany → test.de · w/c 17 Aug · 0.4%All models · Germany → test.de · w/c 24 Aug · 0.4%All models · Germany → test.de · w/c 7 Sept · 2.3%
10 eucerin.de 0.4% 28
11 bund.de 0.4% 27 All models · Germany → bund.de · w/c 17 Aug · 0.6%All models · Germany → bund.de · w/c 24 Aug · 0.1%All models · Germany → bund.de · w/c 7 Sept · 1.0%
12 canon.de 0.4% 25
13 idealo.de 0.4% 25 All models · Germany → idealo.de · w/c 17 Aug · 0.4%All models · Germany → idealo.de · w/c 24 Aug · 0.5%All models · Germany → idealo.de · w/c 7 Sept · 1.0%
14 nikon.de 0.3% 22
15 computerbild.de 0.3% 21 All models · Germany → computerbild.de · w/c 17 Aug · 0.1%All models · Germany → computerbild.de · w/c 24 Aug · 1.3%All models · Germany → computerbild.de · w/c 31 Aug · 0.1%All models · Germany → computerbild.de · w/c 7 Sept · 0.4%
16 check24.de 0.3% 21
17 sony.de 0.3% 20
18 tiktok.com 0.3% 20
19 instyle.de 0.3% 19
20 loreal-paris.de 0.3% 19
21 elle.de 0.3% 19
22 whowhatwear.com 0.3% 18
23 evz.de 0.3% 18
24 docmorris.de 0.3% 18
25 chip.de 0.3% 18
26 vogue.de 0.3% 17
27 easycosmetic.de 0.2% 16
28 netdoktor.de 0.2% 16
29 mediamarkt.de 0.2% 16
30 wikipedia.org 0.2% 15
31 aok.de 0.2% 15
32 vichy.de 0.2% 14
33 apotheken-umschau.de 0.2% 14
34 digitalcameraworld.com 0.2% 14
35 dm.at 0.2% 13
36 garnier.de 0.2% 13
37 nhs.uk 0.2% 13
38 verbraucherzentrale-niedersachsen.de 0.2% 13
39 c-and-a.com 0.2% 12
40 hm.com 0.2% 12
41 fujifilm-x.com 0.2% 11
42 zalando.de 0.2% 11
43 decathlon.de 0.2% 11
44 douglas.ch 0.2% 11
45 dtgv.de 0.2% 10
46 faz.net 0.2% 10
47 vzhh.de 0.2% 10
48 otto.de 0.2% 10
49 gesetze-im-internet.de 0.2% 10
50 rossmann.de 0.2% 10

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#617 Aug24 Aug31 Aug7 Septyoutube.com: #1 → #2 youtube.com reddit.com: #2 → #6 reddit.com instagram.com: #3 → #3 instagram.com google.com: #6 → #4 google.com verbraucherzentrale.de: #5 → #1 verbraucherzentrale.de facebook.com: #4 → #5 facebook.com 4 places lost reddit.com, #2 → #6
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
Series17 Aug24 Aug31 Aug7 Sept
youtube.com1212
reddit.com2326
instagram.com3443
google.com6154
verbraucherzentrale.de5661
facebook.com4535

4 places lost: reddit.com, #2 → #6 (7 Sept)

Methodology

  • What's counted: every citation/source URL returned by citation-capable AI models for Germany-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 (2026-08-31 → 2026-09-07); 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.