When you submit a question in Social Explorer AI, the response is presented in a structured format that combines a clear written answer with supporting data, sources, and methodology. Understanding each part of this response helps you evaluate accuracy, interpret results correctly, and confidently use the data in your work.
The Main Answer
At the top of the response, the AI provides a direct answer to your question in plain language. This sentence summarizes the result, such as a population figure, comparison, or key statistic, and confirms how the AI interpreted your request.
The answer reflects the selected geography, time period, and dataset used to generate the result. It is always grounded in official data sources available within Social Explorer.
Tables, Maps, and Charts
Depending on the type of question asked, the AI may include a table, map, or chart directly in the response.
Tables present structured data and may initially show a limited number of rows, with options to explore additional rows, variables, or related comparisons.
Maps visualize a single demographic variable across a geographic area, allowing you to see spatial patterns and differences at a glance.
Charts highlight comparisons or trends, such as differences between places or changes over time.
These visual elements are generated automatically and appear alongside the written explanation as part of the same AI answer.
Sources Panel
Under the answer, the AI displays a Sources section. Clicking Sources opens a panel that provides detailed information about the data used in the response, including the dataset name (for example, ACS 2023 5-Year Estimates), the full table name, and a clickable table code that links directly to the underlying dataset.
This makes it easy to understand exactly where the data came from and how it was generated. The Sources panel also supports proper citation and verification for academic, professional, and institutional use.
Methodology
Below the Sources section, the AI provides an automatically generated methodology explanation. This section describes how the result was produced and how it should be interpreted.
The methodology may explain:
why a specific dataset was selected
how the data was collected and processed
whether values are estimates or full counts
what adjustments apply, such as inflation or averaging across years
how to interpret margins of error or standard errors
any limitations that may affect reliability
This section is especially important when working with survey-based data, such as the American Community Survey, and ensures transparency and responsible interpretation of results.
Download and Export Options
Some AI responses, particularly tables, charts, and maps, include a Download or Export option. This allows you to save the output for further analysis or use outside the platform. The availability of these options depends on the type of result being displayed.
Follow-Up Actions
At the end of the response, the AI often suggests follow-up actions, such as viewing related tables, comparing geographies, exploring additional variables, or creating a new visualization. These options allow you to continue refining your analysis without starting over.
By understanding each part of the AI response, you can move confidently from a single question to deeper data exploration while maintaining clarity, accuracy, and transparency.