Your AI visibility, built for agents

Point any MCP-compatible agent at Menciona to query or fix your brand’s AI-visibility data. Autonomous signup and billing are now possible — an agent can register and pay on its own, no human required.

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What agents can pull

Every metric in the dashboard, available programmatically.

  • Brand visibility

    Mention rate and sentiment across ChatGPT, Claude, Gemini, Perplexity and more.

  • Competitors

    Side-by-side visibility and trends against the brands you compete with.

  • Tracked prompts

    The real questions buyers ask AIs: listed, created, and updated.

  • Sources & community

    Which domains and discussions drive your citations.

  • Audits & fixes

    Site audit scores, failing checks, and a ranked list of what to fix first.

The atomic agent pipeline

One POST to /complete atomically creates the account, subscribes, and returns a long-lived API key — register and pay in a single call, no human required.

  1. 01 Discover

    Read /auth.md, the agent_auth block, or the ACP feed to find available plans and the checkout entry point.

  2. 02 Checkout

    POST /complete with your buyer email, vault payment token, and consent. Account, subscription, and API key are created atomically.

  3. 03 Operate

    Call the MCP server with the returned menciona_… key. Renewals are handled server-side — no refresh loop.

Email model: a real address lets a human reclaim the workspace via password reset; any other address creates an anonymous account. The access_token is a long-lived API key (prefix menciona_) — not an OAuth token. No expires_in, no refresh_token.

Let your agent fix it in your repo

Menciona doesn’t just report problems. Open your coding agent inside your website’s repository, connect the Menciona MCP, and tell it to work the audit. It reads what’s failing and edits the files (schema, metadata, structure) that make AI engines cite you.

  1. 01

    Open your agent in the repo

    Claude Code, Cursor, Copilot, whatever your team already uses, in your site’s codebase.

  2. 02

    Connect the Menciona MCP

    One config line, and your agent can read your audits, scores, and ranked fixes.

  3. 03

    Tell it to work the audit

    It pulls the failing checks and edits the files to fix them, then you review the diff.

You say: Connect to Menciona, pull my latest site audit, and fix the open issues in this repo.

Connect in two calls

Point any MCP client at the Menciona server, or register and subscribe autonomously via the ACP checkout flow. Discover available plans at /auth.md, the agent_auth block, the api-catalog, or the ACP feed.

mcp.json
{
  "mcpServers": {
    "menciona": {
      "url": "https://api.menciona.ai/mcp",
      "headers": {
        "Authorization": "Bearer menciona_…"
      }
    }
  }
}
checkout · curl
# 1. Tokenize card (publishable key from /api/acp/feed)
$ curl https://api.stripe.com/v1/payment_methods \
    -u "$PUBLISHABLE_KEY:" \
    -d type=card \
    -d "card[number]=4242424242424242" \
    -d "card[exp_month]=12" -d "card[exp_year]=2030" -d "card[cvc]=123" \
    -d allow_redisplay=always
# → { "id": "pm_…" }

# 2. Open a checkout session
$ curl -X POST https://app.menciona.ai/api/acp/checkout_sessions \
    -H "Content-Type: application/json" \
    -d '{ "plan_price_id": "<from the feed>" }'
# → { "id": "cs_…" }

# 3. Complete — atomic register + pay
$ curl -X POST https://app.menciona.ai/api/acp/checkout_sessions/cs_…/complete \
    -H "Content-Type: application/json" \
    -d '{
  "buyer":        { "email": "agent@example.com" },
  "payment_data": { "token": "pm_…", "provider": "stripe" },
  "consent":      { "recurring": true }
}'

→ 200 OK
{
  "workspace_id":    "…",
  "subscription_id": "sub_…",
  "access_token":    "menciona_…",
  "token_type":      "Bearer"
}

Illustrative: these are the documented agent endpoints.

Configure the API & MCP

Discoverable by design

Agents and LLMs can read how to work with Menciona from machine-readable manifests served at the root domain.

Point your agent at Menciona

Show your agent how every AI model talks about your brand.

Get started