> ## Documentation Index > Fetch the complete documentation index at: https://docs.atomicagi.com/llms.txt > Use this file to discover all available pages before exploring further. # Analytics overview > Choose the right source for traffic, visibility, and conversion questions. Analytics overview in the Atomic AGI project workspace Open **Analytics** for a project-level view, then choose the source that can answer your question. ## Choose a data source | Area | Question to answer | What to do next | | - | - | - | | AI search | Are assistants mentioning the brand, and does AI traffic convert? | Compare tracked answers with visits and conversions. | | Google search | Which queries and pages attract organic clicks? | Compare impressions, position, and CTR before editing a page. | | Attribution | Which sources and pages contribute to outcomes? | Check the selected conversion events and engagement. | | Reports | How do I share a repeatable view of these results? | Create a report with the intended filters and date range. | ## Keep comparisons consistent Set the date range and review active filters before comparing views. Search Console and Google Analytics measure different events; their totals do not have to match. AI answer tracking is also separate from AI referral traffic. Check data-source connections when a panel is unavailable. Use Technical for crawl and indexing investigations, Crawler logs for observed AI bot visits, and Strategy or Planning to turn findings into work. ## Where to go next * [Google search](/data/google-search/overview) * [AI search](/data/ai-search/overview) * [Attribution](/data/attribution/overview) * [Reports](/data/reports/overview) * [Data sources](/settings/project/data-sources) This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.