MCP servers for AI search visibility: track ChatGPT answers from Claude

Most AI visibility tools now run an MCP server, so Claude can answer "how often did ChatGPT name us this week?" from your tracking data. They split on one question: whether Claude can only read what the tool's schedule already asked, or can ask the AIs again right now.

Below are the tools with a server, what each lets Claude do, and how to add one to Claude Code or Claude Desktop. Every plan and limit comes from the vendor's own page or docs, read on November 8, 2026, between 10:50 and 11:07 Japan time, and each is linked under Sources.

Which AI visibility tools have an MCP server

Two more list MCP without being trackers you'd point Claude at first. Goodie lists "MCP + 50 optimizations / mo" on its $295 Core plan, without saying on that page what the server does. DataForSEO's server, at https://mcp.dataforseo.com/v3/mcp, opens its APIs on pay-as-you-go pricing, including an AI Optimization API to "Access LLM prompt data and aggregated AI agent responses", for teams that build their own tracker.

Reading stored results, or asking the AIs now

Reading is what most of these servers do. The tool asks its AIs on a schedule, and Claude reads the answers it saved:

• Peec AI's docs say "Most tools are read-only", and each chat it returns "is one prompt run against one AI engine on a given date".
• Otterly.AI's server returns "Raw AI engine responses, brand mentions, and citations" from its daily runs.
• Profound's get_prompt_answers reads "the answers AI engines gave", and an active prompt is one that runs daily.
• Mangools' AI Search Watcher checks "every monitor once a week, on every plan".

Reading costs little. Otterly.AI counts MCP requests (2,000 a month on Standard), Mangools counts calls against your API quota, and Semrush's plans include 50,000 MCP API units. It's the right mode for questions like "which competitor gained this month?" or "which pages do the AIs cite most?"

Asking now spends the tool's paid answers, so the two servers that do it ask first:

• Rankscale: "Reading your data is always included. Creating search terms, topics, and dashboard views, and running tracking that spends credits, are separate permissions that stay off unless you turn them on when you connect." And "credit-spending runs always show the cost first."
• Convika: run_answer_check asks your saved questions on ChatGPT, Perplexity, Gemini, and Google AI Overviews. One question on one AI is one check. Claude tells you how many checks the run uses and how many you have left, and runs when you agree. A check that errors, or a search with no AI Overview, is given back. The answers come in over a few minutes, and a workspace has one run at a time.

Asking now matters right after you change something. A tracker that runs daily or weekly tells you tomorrow or next week whether your new page is cited. A fresh run tells you today, once the AI's crawler has read the page.

Set it up in Claude Code

Add the server

Run claude mcp add with the server's URL. Anthropic's docs give the form claude mcp add --transport http <name> <url>. For Convika:

claude mcp add --transport http convika https://mcp.convika.com

The other servers' URLs, from their own docs: Peec AI https://api.peec.ai/mcp, Otterly.AI https://data.otterly.ai/mcp, Profound https://mcp.tryprofound.com/mcp, Mangools https://mcp.mangools.com/mcp, and Ahrefs https://api.ahrefs.com/mcp/mcp. Add --scope user to have a server in every project, not only the one you're in.

Sign in

Run /mcp in Claude Code, pick the server, and sign in to that tool in your browser. Anthropic's docs: "Use /mcp to authenticate with remote servers that require OAuth 2.0 authentication." From your shell, claude mcp login <name> does the same. Peec AI, Otterly.AI, Profound, and Mangools all sign in this way; Peec AI, Profound, and Mangools also take an API key or token for setups that can't open a browser.

Check what it can see

Ask a question only that server can answer, such as "Which Convika workspace are you connected to?" or "List my Peec AI projects." Claude Code asks you before it runs a tool, unless your permission settings allow it, so a tool that spends credits or publishes still waits for you.

Set it up in Claude Desktop or on claude.ai

On your own Claude account, Anthropic's steps are: "Navigate to Customize > Connectors", click "+ Add" then "Add custom connector", enter a name and the server's URL, click "Continue", and finish with "Add". Sign in to the tool when Claude asks.

• On Claude's free plan, "Free users are limited to one custom connector."
• On Team and Enterprise, an owner adds the connector in Organization settings > Connectors, and each member signs in with their own account.
• The connection comes "from Anthropic's cloud infrastructure, rather than from your local device", so the server must be reachable from the internet. All the hosted servers above are.

A connector added on claude.ai works in Claude Desktop and in Claude Code's cloud tasks too. A server added with claude mcp add stays on your machine.

From the answer to a published page, in the same chat

Reading and running tell you which questions the AIs answer without you. The page that answers them is the next step. Convika's server makes that page, publishes it, and hosts it, from the same chat:

1. Save the questions. "Save these 5 questions and our brand name for the AI answer check" calls update_answer_check_prompts. Saving asks nothing.
2. Ask the AIs. run_answer_check tells you the cost in checks, then asks.
3. Read the gaps. get_answer_check_results returns, for each question and AI, how many answers named you, whether they linked to your site, and the links they cited instead.
4. Make and publish the pages. The make_pages_for_questions prompt proposes one page per topic, where questions that ask the same thing in other words share one page, and drafts them with create_pages once you agree. publish_pages runs a dry run first, showing what goes live, and publishes only with the token that dry run returned.
5. Ask again after the crawl. get_answer_check_results lists the AIs whose crawler has read the new page since it went live, and run_answer_check asks only those.

How to do AIO with Claude Code walks through each step, what the first run costs, and how to run it every week.

Peec AI and Profound act on results too, inside a CMS you already run: Peec AI's early-access publish_cms_content "Writes accepted suggestions to the connected CMS", and Profound's MCP "Build and Run Profound Workflows". Convika is the host, so it needs no CMS.

Which to pick

• Peec AI if you want daily tracking and MCP from the first plan, at $95 a month.
• Otterly.AI if you already track there and want Claude to manage prompts and run GEO audits, from Standard at $189 a month.
• Rankscale if you want a tracker whose server can also spend credits on a fresh run when you allow it.
• Ahrefs or Semrush if your team already lives in one, for SEO data alongside the AI reports.
• Profound on Enterprise, for many brands, up to 9 AIs, and Workflows.
• Convika MAX to ask the AIs when you choose and publish, from the same chat, a page that answers each question they don't name you for, with questions that ask the same thing sharing one page: 3,500 checks for $49 a month, enough to ask 200 questions on all 4 AIs 4 times. Pro includes 100 checks for $12 a month, and packs add checks on any plan, from 100 for $3.

Convika asks 4 AIs, not Claude, Copilot, or AI Mode, and runs no schedule of its own. If you need daily trend lines on many AIs, pick a tracker above. Before any of them, check one question free on the 4 AIs, with no sign-up.

Frequently asked questions

Which AI visibility tools have an MCP server?

Peec AI (every plan), Otterly.AI (Standard and up), Profound (Enterprise), Rankscale (every plan), Mangools (every plan), Ahrefs (Lite and up), Semrush (Semrush One and SEO Classic plans), Goodie (Core), and Convika (every plan). DataForSEO runs one for developers.

Can Claude check whether ChatGPT mentions my brand?

Not by itself in a way you can count: an answer Claude writes isn't ChatGPT's. Connect a tool's MCP server, and Claude reads the answers the tool collected from ChatGPT and the other AIs. With Rankscale or Convika, Claude can also start a fresh run.

Does Peec AI have an MCP server?

Yes, on every plan, Starter included. The server is https://api.peec.ai/mcp, signed in with OAuth or a personal access token. Peec AI says "Most tools are read-only"; the write tools change your project's setup.

Does Otterly.AI have an MCP server?

Yes, from its Standard plan at $189 a month, with 2,000 MCP requests a month. The server is https://data.otterly.ai/mcp, signed in with OAuth, and works with Claude Code, Claude Desktop, ChatGPT, and Cursor.

Does Profound have an MCP server?

Yes, on its Enterprise plan. The server is https://mcp.tryprofound.com/mcp, signed in with OAuth or an API key. It reads visibility, citations, and AI answers, manages prompts, and runs Profound's Workflows.

Do Semrush and Ahrefs have MCP servers?

Yes. Semrush's comes with Semrush One Starter and Pro+, and SEO Classic Pro and Guru, uses "read-only access", and lists SEO data. Ahrefs' comes with Lite and up, from $129 a month, and includes Brand Radar reports.

Is it safe to let Claude start runs that cost money?

The servers that spend credits ask first. Rankscale keeps credit-spending runs off until you allow them and shows the cost first. Convika's run_answer_check tells you the checks a run uses and your balance before it asks. Claude Code also asks before it runs any MCP tool, unless your settings allow it.

Do I need Claude Code, or does Claude Desktop work?

Either. In Claude Code, run claude mcp add. In Claude Desktop or on claude.ai, add a custom connector under Customize > Connectors. A connector added on claude.ai also works in Claude Desktop and in Claude Code's cloud tasks.

Sources

Each page was read on November 8, 2026, Japan time:

• Anthropic: Claude Code MCP docs (10:52) and Getting started with custom connectors (10:52)
• Peec AI: Pricing (10:51), MCP introduction (10:53), and MCP tools reference (10:53)
• Otterly.AI: Pricing (10:50) and Does OtterlyAI have an MCP (10:54)
• Profound: MCP overview (11:06), MCP authentication (11:06), MCP prompt tools (11:06), and MCP Workflow tools (11:57)
• Rankscale: Pricing (10:51) and Rankscale MCP (10:52)
• Mangools: MCP server (10:52) and How AI Search Watcher works (10:51)
• Ahrefs: MCP introduction (10:52), MCP tool categories (10:55), and Pricing, in US dollars (10:51)
• Semrush: Semrush MCP (10:52)
• Goodie: Pricing (10:51)
• DataForSEO: MCP server (10:52)