Disclosed subject matter benchmarks and aligns content with target audiences. A user may provide content to a language intelligence platform. Scores are then generated by analyzing the content based on values-specific dictionaries, which reflect values of targeted audiences. Based on a comparison between a generated score and a benchmark values score for the target audience, appropriate action may be taken. Disclosed teachings support multiple layers of comparisons and score calculations including comparisons and scoring of all text, segments of text, and specific phrases to achieve a more comprehensive analysis. Embodiments may determine whether headers or other sections that may garner more attention, are aligned with a benchmark. Instead of suggesting alternative content, customer-specific benchmarks may tailor the analysis to align with customer's goals and priorities, potentially resulting in additional performance indicators that support the identification of correlations and predictive lexical patterns of higher performing content.