Claude for SEO Data Analysis: Combining SEOtesting, Semrush & GSC in One Conversation

How to connect Claude to your SEO data sources and find patterns no single tool can show you.

Every SEO tool gives you a slice of the picture. SEOtesting shows you what changed after you made a change. Semrush shows keyword opportunities and competitive gaps. Google Search Console shows what Google actually sees. Screaming Frog shows what's broken.

The problem is combining them. You end up with four tabs open, exporting CSVs, trying to cross-reference manually. Claude eliminates that step entirely.

At StudioHawk, I use Claude with MCP server connections to pull live data from SEOtesting and GSC directly into the conversation. For Semrush and Ahrefs, a CSV export of keyword data works fine. The AI connects the dots across all of them in seconds.

The SEOtesting + Claude Connection

This is the setup that's been most valuable. Claude connects to SEOtesting via MCP, which means it can:

• Pull live page performance — clicks, impressions, CTR, and average position for any URL over any date range
• Check winners and losers — which pages gained or lost the most traffic this week vs last
• Track content decay — find pages that peaked months ago and are now declining
• Create SEO tests — set up time-based tests directly from the conversation. Change a title tag, tell Claude to create the test, and it tracks the before/after automatically
• Monitor new keywords — see which queries appeared for the first time this week
• Find striking distance queries — queries ranking 4-10 where a small improvement could push to top 3

The ability to set up SEO tests from inside Claude is a genuine game changer. Instead of switching to the SEOtesting dashboard, creating a test manually, filling in the URL and dates, you just say: "Create a test for this title tag change on /product-page/ with today's change date." Done in one sentence.

What You Get from Combining Data Sources

The insight layer is where this gets interesting. Each tool alone tells you something useful. Combined, they tell you what to do.

Example 1: Finding Pages to Refresh

Single-tool approach: SEOtesting shows a page's clicks dropped 40% over 3 months.

Multi-tool approach with Claude:

1. SEOtesting confirms the decay (clicks down 40%, position slipped from 6 to 12)
2. Semrush keyword export shows 3 new competitors ranking for the same terms that weren't there 6 months ago
3. GSC data reveals the page still gets impressions but CTR dropped — the title tag is no longer compelling against the new competition
4. Claude's recommendation: rewrite the title tag to differentiate (not just refresh the content), and create a test to track the impact

That entire analysis happens in one conversation. No tab switching. No export-import-cross-reference.

Example 2: Prioritising Content Creation

1. Pull striking distance queries from SEOtesting (position 4-10, sorted by impressions)
2. Cross-reference with Semrush keyword difficulty and search volume from a CSV export
3. Check which queries already have a dedicated page vs which are being served by a tangential page
4. Claude outputs a prioritised list: these 5 queries need new pages, these 3 need the existing page improved, these 2 aren't worth the effort

Example 3: Auditing a Client's Site on Onboarding

1. Feed in a Screaming Frog crawl export (CSV)
2. Pull GSC performance data for the same domain
3. Pull SEOtesting content decay and winners/losers
4. Claude identifies: pages with technical issues AND declining traffic (fix first), pages with good technical health but no impressions (content gap), pages with high impressions but low CTR (title tag opportunity)

The Practical Setup

SEOtesting via MCP

The SEOtesting MCP connection gives Claude direct API access. No exports needed. You can ask Claude to pull data, create annotations, set up tests, and monitor performance all within the conversation.

If you're using Claude Code, the MCP server connects automatically. For Claude Projects, you'll need to configure the MCP server connection in your project settings.

Semrush / Ahrefs via CSV

The Semrush and Ahrefs APIs exist but they're expensive on tokens. For most use cases, a CSV export is faster and cheaper:

1. Export your keyword data from Semrush (Organic Research → Positions → Export)
2. Drop the CSV into your Claude conversation
3. Ask Claude to cross-reference with your GSC or SEOtesting data

You can also use SE Ranking or any other keyword tool — Claude doesn't care about the source, just the data format.

Google Search Console via MCP or API

GSC connects via MCP server or through the Search Console API. This gives Claude access to your actual query data, click-through rates, and indexing status.

Screaming Frog via CSV

Export your crawl data and feed it directly into the conversation. Claude can process thousands of rows of crawl data and cross-reference against performance metrics.

We're Also Testing Microsoft Clarity

We're experimenting with connecting Microsoft Clarity for heatmap data on specific pages. The idea is to combine click behaviour data with SEO performance data — if a page ranks well but doesn't convert, heatmap data might show why.

It's early days. We're testing different approaches to see what's genuinely valuable vs what just burns tokens. Security and token usage are the main considerations — you don't want to feed entire session recordings into Claude when a summary of click patterns would suffice.

What This Means for Your SEO Workflow

The shift isn't about replacing your SEO tools. It's about adding an intelligence layer on top of them. Every tool you already pay for becomes more valuable when Claude can read across all of them simultaneously.

Start with one connection. SEOtesting via MCP is the easiest win because you get live data plus the ability to create tests. Add a Semrush CSV export for keyword intelligence. Build from there.

The compound effect is real: every data source you connect gives Claude more context, which means better recommendations, which means less time guessing and more time executing.