German AI answers lean on local sources. What software firms selling into Germany should change
Otterly's index finds German AI answers favour local domains, associations and test publishers. What software firms selling into Germany should change.

The short answer
Otterly's German AI Search Index, published 5 October 2026, finds that AI answers to German prompts mostly cite local domains or German sections of global sites, and favour associations and test publishers more than US answers do. Software firms selling into Germany should publish real German pages, earn local reviews and get cited by associations and trade press.
Key takeaways
- In Otterly's index (16 August–28 September 2026), 64.9% of German AI citations went to a local domain or a global domain with a German signal in its URL.
- Associations took 8.9% of German citations in the same index, against 5.3% of US citations; government sites took 1.8% against 3.1%.
- A global competitor does not need a .de domain: 13.8% of German citations went to German paths or subdomains on global domains.
- In Semrush's US data for January–April 2026, ChatGPT cited about 15 sources per response and Gemini about 3.
- Test German prompts from Germany as their own sample; results from US prompts do not transfer.
In this article
What Otterly's German index measured
Otterly, which sells AI search monitoring software, published its German AI Search Index on 5 October 2026. It tracked about one hundred bottom-of-funnel commercial prompts per industry in 16 industries, in Germany and the US, from 16 August to 28 September 2026. The engines were ChatGPT, Google AI Overviews, AI Mode, Gemini, Perplexity, Copilot and Claude, and the German set held 3.95 million citations.1
The headline finding is a strong local preference. In that window, 64.9% of German citations went to a .de, .at or .ch domain or to a global domain with a German signal in its URL, such as a /de/ path.1 Associations took 8.9% of German citations against 5.3% in the US, while government sites took 1.8% against 3.1%.1 The most cited media were consumer test and comparison publishers rather than the business titles that lead the US list.
Two findings cut the other way. Company-owned pages were the majority of citations in both markets, at 57.2% in Germany and 56.3% in the US.1 Forums matter less: Reddit carried 1.79% of US citations but 0.60% of German ones.1 Our view: the index is one vendor's first edition, but the pattern is cheap to test, which is enough to start acting on it.
Why this matters for software firms
Many software firms sell into Germany from a US-built site with a translated homepage. The index suggests that is the weak point. A global domain can still compete: 13.8% of German citations went to German paths or subdomains on global domains.1 If German answers draw on German-language sources first, a company with little German material about it starts every answer at a disadvantage, whatever its US visibility.
Engines also differ in how many sources they draw on, which changes how hard it is to appear. In Semrush's AI Visibility Index, built on 126 million US prompts from January to April 2026, ChatGPT cited about 15 sources per response and Gemini about 3.3 Those are US figures, but the point travels: on engines that cite few sources, the local ones Otterly describes crowd out everyone else.
Clicks are also under pressure in Germany. Sistrix, which sells SEO software, analysed over 100 million German keywords. On an average results page (data period not stated) over 27% of searchers clicked the first organic result, against 11% for keywords with an AI Overview.2 The same analysis put the share of searches leading to any organic click at 57% on average and 33% with an overview (period not stated).2 Being cited inside the answer matters more as clicks fall.
What to change: five fixes
The fixes follow the source types the index names. None is a quick translation job; each gives German answers a German source about you.
German pages that answer German questions. Publish product, pricing and security pages in German, on a .de domain or a /de/ section, written for German buyers rather than translated line by line. State prices in euros with VAT treatment, explain where data is hosted, and publish your data processing agreement (Auftragsverarbeitungsvertrag) and GDPR (DSGVO) position in German.
Local review platforms. The index finds test and comparison publishers among the most cited German media, so German review and comparison sites deserve attention. Ask German customers to review you there, and keep your profiles' German descriptions current.
Associations. German answers cite associations more than US answers do, though the most cited ones in the index are consumer bodies, chambers and industry groups rather than software associations. Membership listings, association guides and member case material give engines an independent German source. Pick the associations your buyers actually belong to, not every one available.
Trade press and test publishers. Coverage in German trade and technology press, and inclusion in German comparison and test articles, does the work that US business media does for US answers. Brief German journalists in German, with German customer examples where you have them.
Listings and directories. German business directories, software marketplaces and partner listings feed the same local signal. Our guide to review sites and directories in AI citations covers how to prioritise them.
What a German buyer's AI answer tends to draw on
Typical US-built presence
- English product pages with a translated homepage
- US review platforms
- US business media coverage
- Prices in dollars
What German answers favour
- German pages on a .de domain or /de/ section
- German review and comparison sites
- Associations and test publishers
- Euro prices, hosting and DSGVO in German
Test German prompts as their own sample
Results from US or English prompts do not tell you what a German buyer sees. Write German prompts that match how buyers ask, run them from Germany, and keep them separate from your other markets. Our note on Microsoft's AI adoption data by country covers which markets to measure first, and our note on students in India researching study abroad shows the same split for universities.
Example prompts: "Welche CRM-Software ist DSGVO-konform und hostet Daten in Deutschland?" "Beste Projektmanagement-Software für den Mittelstand." "Alternativen zu" followed by your main competitor's name. Score each answer on whether you are named, whether the facts are right, and which sources are cited.
At Sigzen AI, our AI answer monitor runs prompt sets like these across six engines: ChatGPT, Gemini, Perplexity, Claude, Copilot and Google AI, through official APIs where offered and a licensed AI-answer data provider otherwise. An audit runs each prompt on three separate days, so one unusual answer does not drive the plan. Our French baseline note shows the same country-by-country approach, and our guide to the pages that put software on AI shortlists covers the pages to fix in any market.
What does the index not tell you?
The index measures citations across 16 industries, not software alone, so the weight of each source type in software answers may differ. It covers a defined window in late summer 2026, and engines change their sourcing often. Treat it as a direction, then confirm it with your own German prompts before you budget a full German content programme.
Sources
- Otterly, German AI Search Index: 3.95 million German and 3.73 million US citations, 16 industries, seven engines, 16 Aug–28 Sep 2026 (Oct 2026)
- Sistrix, AI Overviews in Germany: over 100 million German keywords (Feb 2026); data period not stated
- Semrush, 2026 AI Visibility Index: 126M US prompts, Jan–Apr 2026 (Jun 2026)


