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GEOInflow

Free Listing

Self-hosted web and AI crawler analytics for Generative Engine Optimization. Track visitors, AI search referrals, crawl logs, content coverage, and conversions in a shared website context.

Visit yaojingang/GEOInflow

Overview

GEOInflow is a self-hosted system for web and AI crawler analytics focused on Generative Engine Optimization. It brings website visitors, AI search referrals, server crawl logs, and content inventories into a shared website context so teams can inspect crawler activity, content coverage, access problems, and AI referral outcomes.

Key Features

  • Built-in catalog covers AI crawler identities and request purposes from providers including OpenAI, Anthropic, Perplexity, Google, ByteDance, Baidu, Kimi, and Tencent Hunyuan.
  • Crawl activity analytics include requested-page rankings, repeated requests, directory distribution, leading crawlers, recent activity, and content freshness.
  • Content inventories imported from sitemap, CSV, or JSON can be compared with observed crawl logs to measure coverage and AI blind spots.
  • Website analytics cover pageviews, visitors, events, goals, funnels, visitor paths, attribution, search engines, UTM, heatmaps, retention, and audiences.
  • AI referral sessions can be combined with landing pages, events, goals, and conversions while remaining separate from crawler requests.
  • Operational features include ingestion checks, historical data repair, analytics acceleration, and source and rule versioning.

Use Cases

  • Company websites, content sites, media publishers, developer documentation teams, and GEO teams managing multiple sites can use GEOInflow.
  • Teams can identify which AI crawlers visit a site, which pages they request, and which important pages have no observed crawl activity.
  • Operators can investigate blocked or failing requests using HTTP status, caching, latency, errors, and risk signals.
  • Analysts can observe how AI search contributes visitors and conversions alongside standard website analytics.

Getting Started

  • Start Docker Engine or Docker Desktop and Docker Compose V2, then run sh scripts/liekan-deploy.sh from the project root.
  • The default address after deployment is http://127\.0\.0\.1:3002\.
  • For a fresh installation, the initial username is admin and the initial password is liekan; change the password after signing in.
  • To try the bundled example, run docker compose -f docker-compose.liekan.yml exec app node scripts/liekan-seed-demo.mjs.

Deployment & Requirements

  • Docker Engine or Docker Desktop and Docker Compose V2 are required.
  • Image and dependency download sources must be reachable.
  • Production access requires a domain, HTTPS, and a trusted reverse proxy.
  • Automatic server collection requires public HTTPS, an ingestion secret, and signed installation assets.
  • Cloudflare integration also requires OAuth, permissions, and the relevant provider capabilities.

Before You Adopt

  • License: MIT. Review its terms before using, modifying, or distributing the project.
  • GEO Weight is marked beta and uses a fixed 30-day calculation policy with documented evidence and limitations.
  • AI analysis is optional and disabled by default; enabling it requires choosing model connections and website materials.
  • Automatic server collection and Cloudflare integration require additional external configuration and permissions.
  • Some GEO-related outcomes require additional data beyond the system's observations.

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