yaojingang/GEOInflow

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Question	Available data	Actions it can inform
Which AI platforms visit the site?	Crawler identity, purpose, provider, request volume, verification status, and trends	Distinguish training, search, and user-triggered requests to understand how content is accessed
Which pages are crawled repeatedly?	Page rankings, repeat requests, directory distribution, and recent activity	Review frequently requested paths, invalid URLs, and content structure
Have important pages been crawled?	Import sitemap / CSV / JSON inventories and compare them with observed logs	Check entry points, internal links, robots rules, and responses
Are crawler requests succeeding?	HTTP status, GET / HEAD, caching, latency, errors, and risk signals	Investigate blocked requests, origin errors, coverage drops, and source interruptions
What does AI search bring to the site?	AI referral sessions, landing pages, goals, and conversions	Observe changes in real traffic and business outcomes
Is there enough evidence for a conclusion?	Identity evidence, source coverage, gaps, missing inputs, and estimates	Review results over the same data scope and keep evidence gaps explicit

Capability	Scope
Pageviews and visitors	PV, UV, visits, referrals, geography, devices, browsers, and content performance
Events and conversions	Custom events, goals, funnels, visitor paths, attribution, and revenue analysis
Extended analysis	Search engines, referral keywords, UTM, performance, heatmaps, retention, and audiences
Collaboration	Websites, personal and team spaces, permissions, workspaces, dashboards, and public sharing
Exports	CSV / JSON / ZIP for the selected scope, preserving fields, states, and sensitive-data handling
AI assistance	Optional model connections and conversations based on website facts, disabled by default
Operations and governance	Ingestion checks, historical data repair, analytics acceleration, and source and rule versioning

GEOInflow