What is Answer Engine Optimization (AEO)?

Answer Engine Optimization (AEO) is the practice of optimizing your brand and content to appear in AI-generated answers from platforms like ChatGPT, Claude, Gemini, and Perplexity. Unlike traditional SEO that focuses on search engine rankings, AEO focuses on being cited and mentioned when AI models respond to user queries.

What is Generative Engine Optimization (GEO)?

Generative Engine Optimization (GEO) is the strategy of improving your brand's visibility in generative AI search results. GEO encompasses techniques to ensure your brand, products, and content are accurately represented and recommended by AI-powered search engines and answer engines.

How does Sourceable track AI brand mentions?

Sourceable monitors how AI platforms like ChatGPT, Claude, Gemini, and Perplexity mention your brand in their responses. It tracks citation frequency, sentiment analysis, competitive share of voice, and provides actionable recommendations to improve your AI visibility across all major generative AI platforms.

Which AI platforms does Sourceable monitor?

Sourceable monitors all major AI search and answer platforms including OpenAI's ChatGPT, Anthropic's Claude, Google's Gemini, and Perplexity AI. The platform tracks brand mentions, citations, sentiment, and visibility across all of these AI engines in real time.

How is AEO different from traditional SEO?

Traditional SEO focuses on ranking web pages in search engine results pages (SERPs). AEO focuses on ensuring your brand is mentioned and cited in AI-generated answers. While SEO optimizes for Google's crawlers and ranking algorithms, AEO optimizes for how large language models (LLMs) understand, reference, and recommend your brand when users ask questions.

How can I improve my brand's visibility in ChatGPT and other AI tools?

To improve AI visibility, you need to build authoritative, well-structured content that AI models can easily parse and cite. Sourceable helps by tracking your current AI visibility, identifying gaps, analyzing competitor mentions, and providing specific recommendations to improve how AI platforms reference your brand. Key strategies include structured data optimization, authoritative content creation, and citation building across AI-indexed sources.

MCP ServerNo login required

Connect your AI agent to Sourceable

Name: Sourceable
Availability: InStock
Author: Sourceable

Sourceable runs a Model Context Protocol (MCP) server — a standard way to give an AI assistant safe access to a tool. Connect Claude, the MCP Inspector, or any MCP-compatible agent and let it scan any website for AI agent readiness.

Overview

An MCP server is like a USB port for AI agents: it exposes a small set of named tools that an assistant can call when it needs them. Sourceable's server is public and read-only — it reads public websites and never touches any customer's private data.

Score any site

Ask your agent to scan a URL and get a 0–100 agent-readiness score with fixes.

Works with any MCP client

Claude Desktop, the MCP Inspector, or any agent framework that speaks MCP.

Connection details

Point your MCP client at this endpoint using the Streamable HTTP transport. No API key or login is needed for the public scanner.

Endpointhttps://api.besourceable.com/mcp

TransportStreamable HTTP

AuthNone (public scanner)

Connect from Claude Desktop

Open your claude_desktop_config.json (Settings → Developer → Edit Config) and add the Sourceable server. The mcp-remote helper bridges Claude Desktop to the remote endpoint. Restart Claude after saving.

json

{
  "mcpServers": {
    "sourceable": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://api.besourceable.com/mcp"]
    }
  }
}

Once restarted, ask Claude something like "Scan stripe.com for AI agent readiness" and it will call the tool automatically.

Connect from MCP Inspector

The MCP Inspector is a visual tool to explore any MCP server. Run it, then connect to the endpoint with transport Streamable HTTP, and click List Tools.

bash

npx @modelcontextprotocol/inspector

Available tools

scan_agent_readiness

Score any public website (0–100) on how ready it is for AI agents, across five pillars, and return concrete fixes.

Inputs

urlrequiredThe public website URL to scan.
includeWebMcpoptionalAlso run the slower browser-based WebMCP probe (~1–3s extra). Defaults to false.

Returns

A readable summary plus structured data: overall score, maturity level, the five pillar scores, and the top fixes to reach the next level.

get_scan_report

Re-open a finished report using the token from a Sourceable report link, and return its scores and fixes.

Inputs

reportTokenrequiredThe report token from a Sourceable report URL or email link.

Returns

The same scores and fixes as a fresh scan, for an already-completed report.

Example walkthrough

Prefer to test without an agent? Call the tool directly with curl. The reply streams back as server-sent events (lines beginning with data:).

bash

curl -sN https://api.besourceable.com/mcp \
  -H 'Content-Type: application/json' \
  -H 'Accept: application/json, text/event-stream' \
  -d '{
    "jsonrpc": "2.0",
    "id": 1,
    "method": "tools/call",
    "params": {
      "name": "scan_agent_readiness",
      "arguments": { "url": "https://example.com" }
    }
  }'

Limits & privacy

The scanner reads public websites only. It cannot reach private or internal addresses.
Requests are rate-limited per IP address to keep the free service fair.
No Sourceable account or private customer data is ever exposed through these tools.

What's coming next

A secure, login-protected tier is on the roadmap — letting your agent read your own brand's AI visibility, monitors, and competitor comparisons straight from your Sourceable dashboard. Want it sooner? Tell us.

Overview

Score any site

Ask your agent to scan a URL and get a 0–100 agent-readiness score with fixes.

Works with any MCP client

Claude Desktop, the MCP Inspector, or any agent framework that speaks MCP.

Connect from Claude Desktop

json

{
  "mcpServers": {
    "sourceable": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://api.besourceable.com/mcp"]
    }
  }
}

Once restarted, ask Claude something like "Scan stripe.com for AI agent readiness" and it will call the tool automatically.

Available tools

scan_agent_readiness

Score any public website (0–100) on how ready it is for AI agents, across five pillars, and return concrete fixes.

Inputs

urlrequiredThe public website URL to scan.
includeWebMcpoptionalAlso run the slower browser-based WebMCP probe (~1–3s extra). Defaults to false.

Returns

A readable summary plus structured data: overall score, maturity level, the five pillar scores, and the top fixes to reach the next level.

get_scan_report

Re-open a finished report using the token from a Sourceable report link, and return its scores and fixes.

Inputs

reportTokenrequiredThe report token from a Sourceable report URL or email link.

Returns

The same scores and fixes as a fresh scan, for an already-completed report.

Example walkthrough

Prefer to test without an agent? Call the tool directly with curl. The reply streams back as server-sent events (lines beginning with data:).

bash

curl -sN https://api.besourceable.com/mcp \
  -H 'Content-Type: application/json' \
  -H 'Accept: application/json, text/event-stream' \
  -d '{
    "jsonrpc": "2.0",
    "id": 1,
    "method": "tools/call",
    "params": {
      "name": "scan_agent_readiness",
      "arguments": { "url": "https://example.com" }
    }
  }'