Connect everything to Claude

If you run paid acquisition for a real business, your day looks like this: 7 browser tabs open, three different attribution models running in parallel, and a Looker dashboard you only update every other Tuesday. Every cross-platform question — “is Meta or TikTok actually working for our jewelry SKU?” — turns into a 20-minute extraction project.

With Claude connected to every tool via the Ryze MCP, the same question is one message. The tools come to Claude, you don’t go to the tools. Ad platforms (Google, Meta, TikTok), analytics (GA4, Search Console), ecommerce (Shopify), CRM (HubSpot), email (Gmail), spreadsheets (Sheets), project management (ClickUp) — all in one chat.

Below: five concrete use cases that get easier the moment everything is connected, then the 30-second setup walkthrough. If you’d rather see this applied to specific platforms, jump to 15 marketing skills for Claude across Google & Meta or the complete Claude marketing skills guide.

Includes:

30-second setup per platform

The setup is genuinely fast — no API keys to copy, no developer apps to register, no IT ticket to file. It’s a one-time, ~30-second OAuth flow per platform. Here’s the canonical path for Claude.ai (the recommended client):

1. 1Go to claude.ai → Settings → Connectors
2. 2Click Add Custom Connector at the bottom of the screen
3. 3

   Enter name “Ryze AI” and the MCP Server URL:

   https://mcp.get-ryze.ai/mcp/unified/
4. 4Generate a connection key from the Ryze dashboard and paste it. Done — you’ll see all your connected ad accounts available to Claude in the next message.

Same MCP works with ChatGPT Web, Claude Free, Cursor, n8n, and direct API endpoints — same URL, slightly different paste path per client. Pick the one you use most for daily marketing work.

Claude side

Ryze side

Every connector available today

The Ryze MCP currently bridges Claude to 12+ platforms across paid ads, analytics, ecommerce, CRM, productivity, and email. Each connector uses the platform’s official API (no scraping, no fragile DOM hacks) and supports both read and (where allowed) write operations.

Cross-platform comparisons stop being a Looker project

The most common question on a Monday morning: “Where is my money working hardest right now?” Today, answering that means logging into Google Ads, exporting last month’s spend and revenue. Then Meta Ads Manager. Then TikTok. Then pasting it all into a sheet, normalizing time zones, and remembering which account uses last-click vs data-driven attribution.

One message. Three platforms queried in parallel. Claude returns a unified table within ~10 seconds, including the under-performing campaigns it had to surface from each. No exports, no sheet, no Looker dashboard you forget to refresh.

Three platforms, one query — the kind of cross-platform answer that used to require a BI engineer.

See specific Claude prompt patterns for each platform: Claude skills for Google Ads and Claude skills for Meta Ads.

Attribution stops requiring 6 browser tabs

Cross-platform attribution is where most marketing teams give up. The signal lives in different places: Meta’s in-platform attribution shows one number, GA4 (last-click via UTM) shows another, and the actual revenue lives in Shopify. Reconciling these takes either an attribution vendor ($2K-10K/mo) or a tireless analyst who lives in spreadsheets.

Claude pulls Meta’s reported numbers, queries GA4’s source/medium with the campaign UTMs, and joins both against Shopify’s order data via customer email or order timestamp. The output: a per-campaign view of what each system thinks happened, surfaced side-by-side.

You don’t need to pick the “true” attribution model — Claude shows you each system’s view and you decide. The work that used to require an analytics consultant is now a follow-up question.

SEO and paid finally talk to each other

Search Console and Google Ads live in different teams at most companies. SEO knows which queries the site is ranking for organically. Paid knows which keywords they’re bidding on. The intersection — queries we’re showing up for that we should also bid on, or stop bidding on because organic already wins — is where money leaks. Nobody runs that report because it lives across two interfaces.

Claude joins GSC queries with the keyword report from Google Ads, classifies each into the three buckets, and ranks by impression volume so you start with the queries that move the needle. The first time you run this, expect to find at least 5-10 queries where you’re paying for clicks you’d get for free anyway.

For a deeper walkthrough of running this kind of audit on Google Ads specifically, see How to use Claude for Google Ads.

Inventory and ad spend stop running blind

For ecommerce brands, the worst kind of waste is spending hard on a Meta campaign for a product that’s out of stock at the warehouse. Or scaling a TikTok campaign for a SKU your supplier can’t restock for six weeks. The signal exists — it’s in Shopify — but it never reaches the media buyer in time.

Claude pulls every active Meta ad set (with the Shopify product ID in the catalog mapping), joins on inventory levels, and surfaces both directions of the leak: spending on stock that won’t convert, and starving stock that’s converting too well to keep up. The output reads like a short action list, not a dashboard.

Most ecommerce teams discover at least one “dark spend” SKU on the first run. The cost of finding it manually was high enough that nobody bothered. For more Meta-specific automation patterns, see How to use Claude for Meta Ads.

Weekly digests pull from everywhere at once

Most marketing teams eventually build a Monday digest — the email/Slack post that summarizes last week’s ad performance for the whole company. Building it is a chore. Pulling numbers from each platform, normalizing them, writing the commentary. With Claude, that becomes a single prompt you can re-run every Monday at 9am.

Pair this with Claude Cowork scheduled tasks and the digest sends itself every Monday morning. You read it on your phone before you open the laptop.

What this doesn’t replace

A few things worth being clear about, because we’ve seen marketers expect more than the tool delivers:

• Claude doesn’t write your ads for you (yet). It’ll diagnose creative fatigue and suggest copy directions, but the actual creative still ships from your team or your agency.
• It doesn’t replace having a media buyer who knows your account. Cross-platform comparison is a tool — interpretation is still a human job.
• Real-time bidding decisions still happen inside each platform’s native auction. Claude can read the outcome but doesn’t take over Smart Bidding or Advantage+ in real time.
• For very large accounts (50+ active campaigns, multiple ad accounts), response latency goes from instant to 15-30 seconds because more API calls have to fan out.

Knowing this up front saves disappointment. The thing it’s genuinely great at: replacing the tab-switching, the spreadsheet reconciliation, and the “wait, let me pull that report” loop.