Marketing analytics MCP servers for Claude, paired with AI visibility data

Choose by the data you already collect, not by the number of tools. The six connectors here have 4, 5, 11, 34, 50 and 73 tools, but tool count says little about whether the numbers in your reports are in there. Start with where your reporting data lives: ads and web analytics, a store, a client reporting layer or experiments.

Then check three things in each vendor's own docs: whether it is read only, which role or plan the sign-in needs, and which sources it reaches. Coupler.io lists four reads and no writes. Whatagraph and Two Minute Reports include tools that change reports. Intelligems and InsightfulPipe can change experiments or take actions. Prefer read only for the first run.

None of these choices affects the Linkeddit half. The answer engine and rank data comes from one connector, https://mcp.linkeddit.com/mcp, whichever reporting tool you pick, and one plan covers it at $60 a month.

The need is stated plainly by an SEO consultant on Reddit: "I’m curious how other SEOs are tracking AI visibility without turning it into a spreadsheet of manually checked prompts." Claude reads the reporting tool for what happened to traffic, orders or spend, reads Linkeddit for what the answer engines and Google said in the same period, and writes one table with a column for each. Linkeddit supplies data only. It writes no advice and sends nothing, so the interpretation is Claude's job and the decision is yours.

On Linkeddit's test project, plausible.io, a read-only answer_results_get returned presence rates of 85% in Google AI Mode (17 of 20 samples), 100% in Google AI Overviews (15 of 15), 89% in ChatGPT (16 of 18), 80% in Gemini (16 of 20) and 50% in Claude (5 of 10). In ChatGPT, plausible was named in 16 of 78 vendor mentions, a 20.5% share of voice. Perplexity returned no usable samples in those runs, and the result says so rather than showing zero.

A read-only search_visibility_get on the same project listed 25 tracked keywords. "google analytics alternative" ranked 2 on 2026-10-28, with an AI Overview shown that cited plausible.io. "cookieless analytics" was not in the top 10, yet its Overview also cited the project. Those are the rows a reporting tool cannot produce.

Add the Linkeddit connector at https://mcp.linkeddit.com/mcp. For the reporting tool, use its own sign-in. Whatagraph's help page says it appears in Claude's connector directory, and Two Minute Reports and Intelligems document Claude directory installs too. Coupler.io, Metorik and InsightfulPipe publish their own setup pages, linked in each member entry above.

On a Claude team or enterprise workspace, an admin may need to enable a connector first, as Whatagraph's and Intelligems's docs both note. Then run one read-only prompt on one account before you build anything bigger. Check that the numbers Claude quotes match what the vendor's own dashboard shows.

Measure movement in the same week, and keep the claim small. Linkeddit reports presence, share of voice, mean position and citations per engine. Your reporting tool reports sessions, orders or conversions. A week where presence rose and orders rose is a lead worth a note. It is not proof one caused the other, and Linkeddit attributes nothing to any single change.

Keep the unmeasured parts visible. An engine with no usable samples, a keyword outside the top 10 and a vendor connection that failed to load are all results, and a good report lists them. Linkeddit's re-check after a change spends credits, so it returns an estimate first and Claude should wait for your yes before starting it.

The common failure is a mismatch in definitions, not in access. Two tools can both report "sessions" or "conversions" and count them differently. Whatagraph's description says the number Claude returns matches what is in your reports because its data model has already blended and normalized the sources, which is a claim worth testing against your own report before you rely on it. Ask Claude to quote the source and date range beside every figure.

The second failure is scope. Metorik lets you pick which stores an assistant can see, and Two Minute Reports ties queries to a team role. If Claude returns less than you expected, check the role and the stores or accounts you authorized before you assume the tool is wrong. The third is time: ranks in Linkeddit are weekly checks, so a reporting week and a rank check will not line up to the day, and a good table labels both dates.

Last, do not let one connector's gap read as a result. If a vendor connection fails to load, or an engine returns no usable samples, the honest line in the report is that the figure was not measured. Linkeddit reports an unmeasured scope with a reason instead of a zero, and the prompt should ask Claude to do the same for the reporting side. Finally, give Claude a fixed output shape, for example one row per week with the reporting figure, the Linkeddit figure and a note column, so every run of the report can be compared with the last one.