GEO 可见性审计报告

https://example.com · 报告对象：example

审计时间：2026-10-17T23:08:16.789871+00:00 · 耗时：50.6 秒

22/ 100
严重不足
综合得分
22 / 100
等级
严重不足
审计耗时
50.6 秒
Google AI
13 / 20

最需要先处理的阻断项

  • ⚠️ Content requires JavaScript to render (25 words in raw HTML). AI crawlers don't execute JS. Implement SSR, SSG, or pre-rendering.

分项评分

维度得分满分完成度状态
AI 爬虫访问规则014
未通过
llms.txt 文件06
未通过
结构化数据 Schema014
未通过
页面元信息511
待改进
内容质量与结构214
待改进
发现信号（RSS 等）36
通过
AI 发现文件03
未通过
品牌实体一致性012
未通过
Google AI 准备度1320
待改进
负面信号扣分-1-
待改进

Google AI 准备度

检查项状态得分证据
G-INDEX通过5/5HTTP 200, indexable, Googlebot allowed
G-SNIPPET通过5/5No snippet restrictions
G-CANONICAL未通过0/3No rel=canonical: Google picks the canonical on its own
G-DATES待改进1/2No valid publication or update date found
G-BYLINE待改进1/2No author found: Google asks 'who created the content'
G-LINKS未通过0/1Links are not crawlable <a href> elements (JS routes or none)
G-VIEWPORT通过1/1meta viewport present
G-SITEMAP未通过0/1No robots.txt, no declared sitemap
G-GENAI-CONTROL需人工检查0/0Check Search Console > Settings > Search generative AI control

优先修复清单

  • P0 blockers — ⚠️ Content requires JavaScript to render (25 words in raw HTML). AI crawlers don't execute JS. Implement SSR, SSG, or pre-rendering.
  • P1 robots — Create robots.txt with Allow rules for AI bots (GPTBot, ClaudeBot, PerplexityBot)
  • P1 llms — Create /llms.txt for AI indexing: geo llms --base-url https://example.com. Note: llms.txt is an organizational signal, not a proven ranking factor. It helps structure content for AI systems.
  • P1 schema — Add WebSite JSON-LD schema to homepage
  • P1 schema — Add Organization JSON-LD schema with name, url, and logo
  • P1 meta — Add <link rel="canonical"> to prevent duplicate content issues in AI indexing
  • P1 meta — Add Open Graph tags (og:title, og:description, og:image) for AI and social previews
  • P1 Google AI 准备度 — [G-CANONICAL] No rel=canonical: Google picks the canonical on its own — https://developers.google.com/search/docs/crawling-indexing/consolidate-duplicate-urls
  • P1 Google AI 准备度 — [G-DATES] No valid publication or update date found — https://developers.google.com/search/docs/appearance/publication-dates
  • P2 内容质量与结构 — Add a single H1 heading that clearly states the page topic
  • P2 内容质量与结构 — Expand content to 300+ words — AI engines need substance to cite
  • P2 发现信号（RSS 等） — Add RSS/Atom feed and link it in <head> with <link rel="alternate" type="application/rss+xml"> for AI discovery
  • P2 AI 发现文件 — Create /.well-known/ai.txt to define AI crawler permissions
  • P2 AI 发现文件 — Create /ai/summary.json with site name and description for AI engines
  • P2 品牌实体一致性 — Add sameAs links in Organization schema to Wikipedia, Wikidata, LinkedIn, or Crunchbase for Knowledge Graph disambiguation
  • P2 品牌实体一致性 — Add a visible /about or /chi-siamo link to build trust signals for AI
  • P3 other — Add potentialAction (SearchAction) to WebSite schema for AI agent discoverability
  • P3 other — Add descriptive labels to forms (label, aria-label) to make them usable by AI agents

30 天修复节奏

第 1 周：robots.txt、sitemap、llms.txt、清理阻断项。

第 2 周：JSON-LD、品牌实体、sameAs、Open Graph。

第 3 周：作者/日期/案例/FAQ/第三方引用。

第 4 周：复测、人工检查 AI 答案、形成月报。

边界说明

这是技术准备度诊断，不是平台官方排名，也不承诺流量或询盘增长。AI 答案引用需人工或官方 API 复核。

原始数据：随报告归档（raw.json）

建议把本报告作为基线：修复 2-4 周后用同一工具复测，并在报告中记录每次改动和对应分数变化。