Analyze website or related online data to track trends or usage.

Analyze website or related online data to track trends or usage. is a detailed work activity in O*NET — a concrete unit of work shared across 3 occupations and seen in 7 occupation-specific tasks. It rolls up into the broader work activity Analyze market or industry conditions. in Analyzing Data or Information .

Detailed work activities are the most granular shared layer in O*NET's work-activity hierarchy (Generalized → Intermediate → Detailed → occupation-specific task). The figures below describe how this activity shows up across the economy and what independent studies measure about AI and this kind of work — not a prediction that the work will be automated.

AI exposure

Of the 7 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 7 (100%) are flagged as directly exposed to language models (E1) or exposed via model-powered tools (E2).

The Anthropic Economic Index observes real AI use on 4 of these tasks, with a mean mapped-usage share of 0.004% per task.

Exposure estimates overlap with model capabilities — whether a model could speed the task up — not whether the work will be done by software. Observed AI use is augmentation and assistance today, not jobs replaced.

Member tasks

Occupation-specific tasks O*NET maps to this detailed work activity, most important first.

• Collect and analyze Web metrics, such as visits, time on site, page views per visit, transaction volume and revenue, traffic mix, click-through rates, conversion rates, cost per acquisition, or cost per click. · Search Marketing Strategists · importance 4.5 · exposure with tools
• Manage tracking and reporting of search-related activities and provide analyses to marketing executives. · Search Marketing Strategists · importance 4.5 · exposure with tools
• Optimize Web site exposure by analyzing search engine patterns to direct online placement of keywords or other content. · Search Marketing Strategists · importance 4.3 · exposure with tools
• Combine secondary data sources with keyword research to more accurately profile and satisfy user intent. · Search Marketing Strategists · importance 4.1 · exposure with tools
• Perform user testing or usage analyses to determine Web sites' effectiveness or usability. · Web Administrators · importance 4.1 · exposure with tools
• Track, compile, and analyze Web site usage data. · Web Administrators · importance 4.0 · exposure with tools
• Develop procedures to track, project, or report network availability, reliability, capacity, or utilization. · Computer Network Architects · importance 3.3 · exposure with tools

Occupations that perform this

• Search Marketing Strategists
• Web Administrators
• Computer Network Architects

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

Data compiled June 2, 2026. Figures are estimates, not advice.

@misc{singulariki-analyze-website-or-related-online-data-to-track-trends-or-usage,
  title  = {Analyze website or related online data to track trends or usage.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/detailed-activities/analyze-website-or-related-online-data-to-track-trends-or-usage}
}