28 Statistiken in 6 Kategorien darüber, wie KI-Systeme die Markenentdeckung, Kaufentscheidungen und die Zukunft der Suche neu gestalten.
28+
Datenpunkte
6
Themenkategorien
7
Verfolgte KI-Systeme
2026
Zuletzt aktualisiert
How quickly users are shifting from traditional search engines to AI-powered answers.
200M+
weekly active ChatGPT users as of 2024
1B+
monthly active users reached by Google Gemini in 2024
100M+
monthly users on Perplexity AI as of 2024
58%
of B2B buyers use AI assistants in early-stage vendor research (2024)
39%
of consumers report using AI instead of a search engine at least weekly
3x
faster growth in AI search queries compared to traditional search (2023–2024)
How AI systems mention, recommend, and shape perception of brands.
71%
of AI product recommendations go to just the top 3 mentioned brands per category
84%
of AI-mentioned brands in "best software" queries have extensive Wikipedia or third-party coverage
67%
of brands are not mentioned at all when AI is asked about their product category
4.2x
more AI mentions earned by brands with structured, cited content vs. those without
92%
of top AI-recommended brands in SaaS categories have dedicated comparison pages ("vs." pages)
Emerging data on how content optimization drives AI citation rates.
40%
increase in AI citation rate when content includes structured statistics with sources
30%
improvement in AI citation frequency for content with clear entity definitions and schema markup
25%
higher AI inclusion rate for content that uses quotations and expert attributions
6–18 months
typical lead time before new content is reflected in AI model training data
78%
of AI-cited sources are pages that also rank in Google's top 10 for related keywords
How AI-driven recommendations translate into real buying behavior.
65%
of B2B software buyers say AI recommendations influence their shortlisting process
33%
of consumers report buying a product recommended by an AI assistant without additional research
$1.3T
estimated commerce influenced by AI recommendations by 2025 (McKinsey)
2.8x
higher conversion rate for traffic sourced from AI-referred brand mentions vs. generic search
The growing gap between ranking in search engines and being cited by AI.
40%
of brands that rank #1 on Google are NOT the top recommended brand in the same AI query
8.5B
daily Google searches vs. 25M+ daily AI-assisted product queries in 2024
12%
year-over-year decline in click-through rates on organic search results (2022–2024)
63%
of marketers say their current SEO strategy does not address AI search visibility
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Methodik & Quellen: Die Statistiken auf dieser Seite stammen aus öffentlich zugänglichen Forschungsberichten, Drittanbieterstudien und Rankfenders eigener Analyse. Die Rankfender-Daten basieren auf aggregierter, anonymisierter Plattformnutzung. Alle externen Statistiken werden ihrer Originalquelle zugeschrieben. Daten werden jährlich aktualisiert. Zuletzt aktualisiert: 2026.