AEO Visibility

dev.advancelabs由 advancelabs.dev 发布官方发布者v1.0.1更新于 Oct 31, 2026

Check whether AI answer engines cite your site, and for which prompts. Uses your own Perplexity key.

发布方自己的服务:AEO Backlink

已验证Streamable HTTP可网页运行网页搜索与抓取数据与分析

概览

AI 生成的概览

一个托管式 MCP 端点,可审计网站的答案引擎优化情况,并检查 AI 答案引擎在特定提示词下是否引用该网站。

可以做什么
  • 抓取网址并为其答案引擎优化打分,包括 AI 爬虫访问权限与爬取提示文件
  • 用提示词查询 Perplexity Sonar,查看某网址是否被引用及引用排名
  • 生成网站应争取被引用的真实用户提示词,并可选地对部分提示词做实时检测
  • 把 AEO 审计与逐提示词的可见性检查合并为一份含整体引用率的报告
  • 按多个竞品网址在某个提示词下是否被引用及引用位置进行排名
适用场景
当你想知道 ChatGPT、Claude、Perplexity 等 AI 助手是否会引用你的网站、你在哪些提示词下出现,以及与竞品相比如何时使用。适合 SEO/AEO 审计和面向 AI 搜索可见性的内容规划。
运行要求
远程 Streamable-HTTP 端点,无需本地安装。README 指出 URL 末尾的 /mcp 不可省略。连接无需凭据,但引用检查需在每次请求中提供 Perplexity API 密钥;README 说明托管工具为专有软件,运行在 advancelabs.dev 上。
安装前请注意
引用检查需自备 Perplexity API 密钥,可能在你自己的 Perplexity 账户产生用量费用。服务器会抓取你提供的网址并向 Perplexity 发送提示词,这些网址和提示词会离开本机。README 称所有工具均为只读,不调用上游的任何写入方法。

安装

在 SourceWeft 中

  1. 打开 控制台中的 AEO Visibility,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/dev.advancelabs%2Faeo-visibility/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "aeo-visibility": {
      "type": "http",
      "url": "https://aeo.advancelabs.dev/api/mcp/ai-visibility/mcp"
    }
  }
}

README

Open-source TypeScript packages for Answer Engine Optimization (AEO), Generative Engine Optimization (GEO), and AI citation visibility. Contributions welcome, see CONTRIBUTING.md.

Open core. This repo is the open-source half of the AEO Toolkit: the audit engine, crawler, parser, schema validator and the Chrome extension, all Apache-2.0 and published to npm. The hosted platform behind advancelabs.dev/tools and the three MCP servers (the console, OAuth, billing, the Google and Bing integrations) moved to a private repository on 2026-10-20. Code published here before that date stays Apache-2.0.

Try it without installing anything: the six browser tools run free in the browser at advancelabs.dev/tools, with no sign-up and no account. Point the auditor at a URL and it returns a weighted, per-rule report in about a minute. Want it done for you? Advance Labs runs a monthly AEO retainer.

The hosted side is six browser tools (technical audit, E-E-A-T scan, llms.txt generator, GA4 + GSC chat, backlink graph, authority) and three MCP servers (ai-visibility, backlink, search) exposing 32 tools to Claude or any MCP client. They are proprietary and run on advancelabs.dev. This repo is the open core: the audit engine packages, the Chrome extension and the skills. See docs/reference/tools.md for the full map.


What it looks like

The hosted site is drawn in dithered pixel art: a figure pushing a faceted sphere up a slope under a dusk sky.

[The MCP page: Connect the AEO Toolkit to your AI client]

What is AEO?

Answer Engine Optimization (AEO) is the practice of structuring your content so that AI assistants (ChatGPT, Perplexity, Claude, Gemini) cite your site when answering questions in your domain. Traditional SEO gets you ranked on the blue-link results page. AEO gets you quoted in the AI answer.

As AI-powered search becomes the default discovery layer, AEO is the new SEO.


The audit

The hosted technical audit runs 44 checks (31 technical SEO + 13 AEO) across crawlability, AI-bot access, structured data, metadata and answer readiness, scored out of 100, with a prioritised fix list and templates for any crawl-hint file you're missing. The E-E-A-T scan is a separate tool that scores 14 signals. The engine defines 58 in total (44 + 14), but the audit itself runs 44. Free, no account, and your data stays yours.


The Chrome extension

AEO/GEO Auditor puts the same engine on your toolbar. Open any page, click the icon, and get a 0 to 100 AI-readiness score with a letter grade and a list of what to fix. Export it as a PDF.

It runs auditRules from packages/scoring/src/audit.ts: 44 checks across 9 categories (31 technical-SEO + 13 AEO) from extension 0.3.0, built on scoring 0.3.x. The Chrome Web Store build before that (0.2.0) ran 40, so the listing changes when 0.3.0 is published. The 14 E-E-A-T signals are a separate scorer the extension does not run, 58 is the engine total (44 + 14), not what any one audit runs.

Everything happens in your browser. No account, no server, no analytics, no telemetry. The only network requests are to the audited site's own robots.txt, sitemap.xml, and llms.txt, which is what the host permission is for. Nothing is stored, because nothing is sent.

Build it yourself:

bash
pnpm --filter @advance-labs/chrome-extension package# → apps/chrome-extension/aeo-extension.zip, loadable via chrome://extensions (Developer mode → Load unpacked, on dist/)

Packages

PackageDescription
@advance-labs/crawlerMulti-threaded web crawler with robots.txt compliance, sitemap parsing, and per-host rate limiting
@advance-labs/html-parserExtracts meta tags, Open Graph, Twitter Cards, headings, images, links, and JSON-LD from HTML
@advance-labs/schema-validatorValidates Schema.org JSON-LD structured data against known types
@advance-labs/scoringScores pages on 44 technical SEO and AEO checks, plus a separate 14-signal E-E-A-T scorer, with per-rule explanations

Plus @advance-labs/net-guard and @advance-labs/types. The one application here is apps/chrome-extension; the hosted console is not open source.


Quick Start

Six packages are published to npm and usable on their own:

bash
npm i @advance-labs/scoring      # the 44-check audit enginenpm i @advance-labs/net-guard    # SSRF-safe fetch: re-checks every redirect hopnpm i @advance-labs/crawler      # polite crawler with robots.txt + rate limitingnpm i @advance-labs/html-parsernpm i @advance-labs/schema-validatornpm i @advance-labs/types        # shared types, a dependency of the above

The hosted tools at advancelabs.dev/tools need no install at all.

bash
git clone https://github.com/Advance-Labs/aeo-toolkit.gitcd aeo-toolkitpnpm installpnpm build          # turbo builds every packagepnpm test           # the full suite, no network

Read the full documentation at docs.advancelabs.dev/aeo-toolkit.

Once built, the packages compose like this:

js
import { crawl } from '@advance-labs/crawler'import { parseHtml } from '@advance-labs/html-parser'import { analyzeStructuredData } from '@advance-labs/schema-validator'import { buildAuditReport } from '@advance-labs/scoring'
const result = await crawl('https://example.com/', { maxPages: 2 })const html = result.pages.filter((p) => p.ok && p.body && p.contentType?.includes('html'))
const report = await buildAuditReport(  {    crawl: result,    pages: html.map((p) => parseHtml(p.body, p.finalUrl)),    structuredData: html.map((p) => analyzeStructuredData(p.body, p.finalUrl)),    mode: 'full-site',  },  { durationMs: 0, version: '1.0.0' },)
console.log(report.url, report.score.overall, report.score.grade)console.log(report.topFixes.slice(0, 3).map((f) => f.title))

Connect the MCP servers

[mcptry]

Listed in the official MCP Registry as dev.advancelabs/aeo-search, dev.advancelabs/aeo-visibility and dev.advancelabs/aeo-backlink.

The three MCP servers are hosted, not installed. They are Streamable-HTTP endpoints, so there is nothing to npm install and no local process to run. Point any MCP client at the URL.

Claude Code: one command per server:

bash
claude mcp add --transport http --scope user aeo-visibility https://aeo.advancelabs.dev/api/mcp/ai-visibility/mcpclaude mcp add --transport http --scope user aeo-backlink   https://aeo.advancelabs.dev/api/mcp/backlink/mcpclaude mcp add --transport http --scope user aeo-search     https://aeo.advancelabs.dev/api/mcp/search/mcp

Drop --scope user to register them in the current project only. Check the result with claude mcp list.

Claude.ai / Claude Desktop: Settings → Connectors → Add custom connector, then paste the URL.

Cursor (~/.cursor/mcp.json), Windsurf, or any client that takes a JSON block:

json
{  "mcpServers": {    "aeo-visibility": { "url": "https://aeo.advancelabs.dev/api/mcp/ai-visibility/mcp" },    "aeo-backlink":   { "url": "https://aeo.advancelabs.dev/api/mcp/backlink/mcp" },    "aeo-search":     { "url": "https://aeo.advancelabs.dev/api/mcp/search/mcp" }  }}
ServerToolsCredentials
aeo-visibility5None to connect. Citation checks take a Perplexity key per request.
aeo-backlink7None.
aeo-search20Sign in with Google: the client opens a browser on first use (in Claude Code, /mcp → Authenticate). Or BYOK: a Google access token as Authorization: Bearer, plus an optional x-bing-api-key.

Three things that trip people up:

  • The trailing /mcp is required. The bare /api/mcp/<slug> returns the adapter's own "Not found", which looks like a routing bug and is not.
  • Only aeo-search has a login, and its discovery is path-scoped. It answers an anonymous request with a 401 pointing at /.well-known/oauth-protected-resource/api/mcp/search/mcp; its authorization server is /api/mcp/oauth. The ROOT /.well-known/oauth-* documents deliberately return 404, because aeo-visibility and aeo-backlink need no login.
  • Every tool is read-only. None calls a write method on any upstream API.

/api/mcp/ga-gsc/mcp still works as a compatibility alias for aeo-search; new configs should use /api/mcp/search/mcp.


Why AEO?

When a user asks ChatGPT "what is the best tool for X?", the answer comes from indexed content that AI models trust, not from ad-auction bidding. The trust signals for AI citation are:

  • Structured data (JSON-LD Organization, FAQPage, HowTo)
  • llms.txt: the AI equivalent of robots.txt
  • Canonical, server-rendered HTML: AI crawlers prefer static content
  • Topical authority: consistent, in-depth coverage of a topic

AEO Toolkit automates auditing all of these.


Monorepo Structure

aeo-toolkit/├── packages/          # the six published libraries, plus shared config├── apps/chrome-extension/├── apps/docs/         # Astro + Starlight docs site (renders ../../docs)├── docs/              # the documentation itself└── brand/             # the mark, lockups, palette and type (brand/README.md)

Built with Turborepo · TypeScript 5 · Vitest · React 19


Design

The site is pixel art: a figure pushing a faceted sphere under a dithered dusk sky. Art is drawn at a coarse cell, snapped to a small palette (ink, paper, two dusk oranges) with a 4x4 Bayer ordered dither and scaled up with hard edges. Labels use Geist Pixel Square, headings and body Geist Sans, code Geist Mono. Corners are square and shadows are hard-offset. The palette, type, tokens and rules are in brand/README.md, with the assets beside it. Anything a user sees should follow it, and docs/CONVENTIONS.md says how in code.


Made by Advance Labs

Built and maintained by Advance Labs · All Advance Labs products

AEO Toolkit is built and maintained by Advance Labs Inc., a software studio building Creatin, Cartrix, and this toolkit.

This project dogfoods its own tooling: advancelabs.dev ships with llms.txt, JSON-LD Organization schema, SSG-rendered pages, and canonical URLs, all patterns the scoring engine teaches.


Code of Conduct

We follow the Contributor Covenant: be respectful and constructive in all project spaces, and report unacceptable behavior to [email protected].


© 2026 Advance Labs Inc. · advancelabs.dev

来源:README.md,提交 8381d1a

工具

5

analyze_website_aeo

Analyze website AEO

Crawl a URL, parse its HTML and structured data, and score it for answer-engine optimization (AEO). Returns an AEO-focused summary, AI-bot access, and crawl-hint files.

输入参数url必填

check_ai_visibility

Check AI visibility

Query Perplexity Sonar with a prompt and inspect its citations to determine whether the given URL is cited as a source, and at what rank.

输入参数url必填prompt必填perplexityApiKey必填

discover_ranking_prompts

Discover ranking prompts

Generate realistic user prompts a site should aim to be cited for on a topic, using Perplexity Sonar. Optionally tests a few of them for live visibility.

输入参数url必填topic必填testCountperplexityApiKey必填

get_visibility_report

Get visibility report

Combine an AEO audit of a URL with per-prompt AI-visibility checks into a single report with an overall citation rate.

输入参数url必填prompts必填perplexityApiKey必填

compare_competitor_visibility

Compare competitor visibility

Run one Perplexity Sonar query and rank several competitor URLs by whether and where each is cited for the prompt.

输入参数urls必填prompt必填perplexityApiKey必填

版本历史

2
  1. v1.0.1最新Oct 31, 2026
  2. v1.0.0Oct 31, 2026

评分

已满足适用检查项的 100%

该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。

  • 近 30 天内可连通必需25 分
  • 已声明认证方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 图标10 分
  • 文档15 分
  • 许可证10 分

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