AEO Visibility

dev.advancelabs由 advancelabs.dev 發布官方發布者v1.0.1更新於 Oct 31, 2026

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

發布方自己的服務:AEO Backlink

已驗證Streamable HTTP可網頁執行網頁搜尋與抓取資料與分析

概覽

AI 產生的概覽

一個託管式 MCP 端點,可稽核網站的答案引擎最佳化情況,並檢查 AI 答案引擎在特定提示詞下是否引用該網站。

可以做什麼
  • 抓取網址並為其答案引擎最佳化評分,包含 AI 機器人存取權限與爬取提示檔案
  • 用提示詞查詢 Perplexity Sonar,查看某網址是否被引用及引用排名
  • 產生網站應爭取被引用的真實使用者提示詞,並可選擇對部分提示詞做即時檢測
  • 將 AEO 稽核與逐提示詞的可見性檢查合併成一份含整體引用率的報告
  • 依多個競品網址在某個提示詞下是否被引用及引用位置進行排名
適用情境
當你想知道 ChatGPT、Claude、Perplexity 等 AI 助理是否會引用你的網站、你在哪些提示詞下出現,以及與競品相比如何時使用。適合 SEO/AEO 稽核與著眼於 AI 搜尋可見性的內容規劃。
執行需求
遠端 Streamable-HTTP 端點,無需在本機安裝。README 指出網址結尾的 /mcp 不可省略。連線無需憑證,但引用檢查需在每次請求中提供 Perplexity API 金鑰;README 說明託管工具為專有軟體,執行於 advancelabs.dev。
安裝前請注意
引用檢查需自備 Perplexity API 金鑰,可能在你自己的 Perplexity 帳戶產生用量費用。伺服器會抓取你提供的網址並向 Perplexity 送出提示詞,這些網址與提示詞會離開本機。README 稱所有工具皆為唯讀,不會呼叫上游的任何寫入方法。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 AEO Visibility,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/dev.advancelabs%2Faeo-visibility/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "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

來源: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.

輸入參數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.

輸入參數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.

輸入參數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.

輸入參數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.

輸入參數urls必填prompt必填perplexityApiKey必填

版本歷史

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

評分

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