18.5 %

of AI answers about professionals were error-free

0.42

correlation Google position ↔ LLM citation

2–8 %

citation rate in Perplexity (domain authorities)

Usage: the shift to answer search

Citation benchmarks: how often sources actually get cited

Entity resolution: what AI models get wrong about people

All figures from the Entity Resolution Pilot DACH SEO 2026 (54 answers, 3 standardized prompts × 18 people, against ground truth verified via web research; open aggregate data):

Ranking ≠ LLM visibility: the decoupling

All figures from State of AI Search 2026 (12,000 prompts, six AI systems, 150+ brands, eight industries; open aggregate data):

Google surfaces: the documented state in 2026

Transparency case: this domain's own measurement

Because statistics pages love aggregating other people's numbers while hiding their own — here is this domain's baseline from the GSC generative AI report (collected August 26, 2026, period May 24 to August 23, 2026, old site version before the relaunch):

This baseline will be continued with future measurements — including the effects of the August 26, 2026 relaunch. (Source: own Search Console property)

Methodology & how to cite

Inclusion criteria: every figure on this page is either an own, methodologically documented survey (SUMAX Research, raw or aggregate data linked) or an officially documented vendor figure with a date. Estimates and working models are labeled as such. Outdated values are replaced, not silently overwritten — substantial changes are documented in the page's update state.

How to cite (CC BY 4.0): “Ulusoy, M. (2026): AI Search Statistics. SUMAX Research. https://www.muratulusoy.de/en/ai-search-statistics.html” — for individual figures, please also name the primary source given.