usegitai.com

Overview

Data updates weekly; see the notes on estimated values Data notes

AI Analysis

Compiled by an LLM based on landing page content; speculative judgments are noted.

Search, backlinks & monetization

{
  "domain": "usegitai.com",
  "name": "Git AI",
  "title": "Git AI - Track AI Code all the way to production",
  "description": "Cross-agent observability from prompt to production. Track AI-generated code from Cursor, Claude Code, GitHub Copilot, Gemini, and more through the entire SDLC.",
  "desc_zh": "An AI code provenance tool for engineering teams that tracks code generated by agents such as Cursor and Claude Code all the way to production.",
  "cat1": "[\"编程与开发\", \"研究与数据\"]",
  "cat2": "[\"AI 代码溯源\", \"研发可观测性\", \"AI 编程分析\"]",
  "site_type": "[\"品牌驱动\"]",
  "keyword_type": "功能词",
  "model_family": null,
  "model_version": null,
  "status": "正常",
  "registered": "2025-09-30",
  "rank": 542297,
  "visits": 20357,
  "visits3": "[23932, 16118, 20357]",
  "growth": 26.3,
  "dr": 21.4,
  "tech": "[\"Next.js\"]",
  "analytics": "[\"Google Analytics\"]",
  "payments": "[]",
  "pricing": "[\"$3.1\", \"$42.10\", \"$24.60\", \"$13.05\", \"$48.20\", \"$11.40\"]",
  "monetization": "[\"免费增值\", \"订阅制\"]",
  "monetization_score": 42.2,
  "keywords": "[\"ai code attribution\", \"ai code tracking\", \"cross-agent observability\", \"ai blame git\", \"track ai generated code\"]",
  "outbound": "[\"github.com\", \"softwarefactorymetrics.com\", \"discord.gg\"]",
  "badges": "[]",
  "seo": "{\"words\": 1876, \"lang\": \"en\", \"internal\": 29, \"outbound\": 3, \"images\": 13, \"images_no_alt\": 0, \"schema\": [\"Organization\"]}",
  "insight": "{\"problem\": \"After multiple agents write code in parallel, teams cannot tell which code was generated by AI, by which agent, or whether it went live, causing confusion in review and accountability.\", \"before\": \"They rely on human memory, commit message annotations, or digging through chat logs afterward to guess code provenance, making auditing difficult.\", \"now\": \"Performs AI attribution directly at the Git layer, tracking the full lifecycle of code from prompt to production across Cursor, Claude Code, Copilot, and Gemini.\", \"vs\": \"Most tools only record sessions within a single agent; it emphasizes unified attribution and AI Blame across agents and across the SDLC.\", \"audience\": [\"Engineering teams using multiple AI coding agents\", \"Technical leads focused on code compliance and auditing\", \"Platform and DevEx teams\"], \"hooks\": [\"Accurate AI attribution embedded directly in Git\", \"Unified observability across agents\", \"AI Blame pinpoints the source of every line of code\"], \"pay_willingness\": \"中等\", \"growth\": \"Launched around late September 2025, with traffic around 20,000 and 26% monthly growth, in an early growth phase.\", \"acquisition\": \"Presumably spread mainly through developer communities, the GitHub ecosystem, and content on AI coding topics.\", \"moat\": \"The moat lies in accumulated cross-agent attribution data and depth of Git-layer integration, but native tools from big tech could squeeze it.\", \"money\": \"No payment channels detected on the page; price clues are scattered ($3.1–$48.2), suggesting a freemium plus subscription model, though the exact tiers are uncertain.\"}",
  "is_sample_revenue": 0,
  "is_new": 0,
  "reg_relaxed": 0,
  "updated_at": "2026-10-18T01:31:32+00:00"
}

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