English-language SEO tools penalize Russian-language texts

Researchers have discovered that popular SEO tools for evaluating citation and content quality in the AI-search era exhibit a bias against Russian-language texts. During an experiment, the team analyzed 98 content blocks: when evaluating original Russian materials, the system assigned low scores, but after adapting the section to the linguistic nuances of Russian without changing the weighting logic, the scores increased significantly. A gap of 11.2 points was attributed to the specific way regular expressions are used in the evaluation algorithms. This case highlights the problem of 'linguistic inequality' in modern analytical tools, which are often optimized exclusively for English. This puts Russian-language resources at a disadvantage when ranking in search engines that use such metrics to assess content authority. The researchers urge developers of SEO tools to account for cultural and linguistic differences to ensure the objectivity of their evaluations.