Closing the Loop on CRO with Claude

In Part 12 we covered automating the SEO monitoring side of this stack. This final post does the same for CRO — turning the manual analysis prompts from Part 11 into recurring automated checks that run without you.

The goal of CRO automation isn’t to replace the thinking — it’s to ensure the thinking is always based on fresh data, and to make sure you never miss an anomaly because you were too busy to check.

Weekly Conversion Health Check

Set this to run every Monday morning alongside your SEO ranking report. It gives you a complete picture of how your key conversion paths performed in the past week.

“From GA4, give me a conversion summary for the past 7 days versus the previous 7 days. Include: overall conversion rate by channel, conversion rate on my top 5 landing pages by organic traffic, average session duration on converting versus non-converting sessions, and mobile versus desktop conversion rate split. Flag any metric that has moved more than 10% in either direction — those need explaining. For any significant drop, cross-reference with Clarity to see if there are any new behavioural signals that correlate with the change.”

Weekly Tracking Integrity Check

Broken tracking quietly ruins test results and reports. Run this alongside the conversion health check so you know the numbers you’re looking at can be trusted.

“List my GA4 key events and compare their daily counts over the last 7 days with the previous 4 weeks. Flag any event that has dropped to zero or changed by more than 30%. For each flagged event, check Google Tag Manager for the tag and trigger that send it, and tell me whether anything changed in a recently published container version. Say clearly whether each issue looks like a tracking fault or a real change in behaviour.”

Behavioural Anomaly Alert

This runs daily and catches problems fast — a rage-click spike often means something broke, and catching it within 24 hours rather than at the next weekly check can save meaningful revenue.

“Check Clarity for today’s behavioural metrics compared to the 7-day rolling average. Alert me if: rage clicks on any page have increased more than 50% from average; dead clicks on any interactive element have increased significantly; or quick-back rate on any top-10 landing page has spiked. For any alert triggered, tell me which page is affected, what element is involved, and whether there are any obvious technical explanations from FreeCrawl (broken elements, page errors, slow load times).”

Daily Experiment Health Check

Experiments can break without anyone noticing: a traffic split drifts, a goal stops recording, or a site change breaks a variant. With your testing platform connected, Claude can check every live test each morning. This example uses Convert.

“List every running experiment in Convert. For each one, check: is the traffic split close to what was planned; is every goal recording conversions in every variation; and are the matching experiment events arriving in GA4 for each variation? Then check Clarity for rage clicks or errors on the experiment pages since yesterday. Report only experiments with a problem, with the likely cause. Do not pause or change any experiment.”

Monthly Experiment Hypothesis Report

Instead of waiting until you have time to think about what to test next, let Claude compile your testing backlog automatically each month.

“Based on the past 30 days of data across GA4, Clarity, and FreeCrawl, generate my top 5 CRO test hypotheses for next month. For each hypothesis: describe the observation (specific metric, specific page), state the hypothesis in ‘If we change X, we expect Y because Z’ format, recommend a test design (what variant to create, what to measure, what sample size is needed), and estimate the potential conversion rate uplift if the hypothesis is correct. Rank by expected impact. For the top-ranked hypothesis, create a draft experiment in Convert with the variation described, but do not start it.”

Monthly Landing Page Report

If you build campaign landing pages in Unbounce, this report keeps every page and test under review without opening the dashboard.

“From Unbounce, list my published landing pages with visitors, conversions and conversion rate for the last 30 days, for each page and each variant. Flag any A/B test that looks ready for a decision, and any page whose conversion rate has fallen by more than 20% compared with the previous month. Don’t change traffic splits or publish anything; just recommend next steps.”

User Journey Segment Report

Run this monthly to understand how different user segments navigate your site — and where each segment’s journey breaks down.

“From GA4, segment my users from the past 30 days into: new vs returning, mobile vs desktop, and organic vs paid. For each segment, map the most common path from landing page to conversion (or exit). Where do the paths diverge significantly between segments? Are there pages that work well for one segment but see high drop-off from another? Give me three CRO recommendations that would improve performance for the segment with the lowest conversion rate.”

Post-Experiment Analysis Automation

With your testing platform connected, Claude can pull the results directly rather than relying on you to summarise them, then analyse them in context — not just the primary metric, but the downstream effects.

“Find any experiment in Convert (or Unbounce) that ended in the last 7 days. Pull its results for every goal, by variation, device and channel. From GA4, compare the downstream conversion path for users who saw the control versus the variant — did the winner on the primary metric also lead to better outcomes further down the funnel? From Clarity, compare engagement behaviour between control and variant sessions. Write up the result, what we learned, and a recommended next test.”

What You’ve Built with Claude

If you’ve followed this series from the beginning, you now have something genuinely powerful: a complete AI-assisted SEO and CRO operation, built on live data, running on a schedule, and generating intelligence that would previously have required a dedicated analyst.

To recap what’s in the stack: GA4 gives Claude access to your traffic, conversions, and user behaviour. Search Console gives it your search performance data — rankings, impressions, CTR. FreeCrawl gives it 96 tools for deep technical SEO analysis. Microsoft Clarity gives it heatmaps, scroll data, and session recording insights. Google Tag Manager lets it check and fix the tracking behind every report. Google Business Profile adds your local listings, reviews and location performance. Your A/B testing platform lets Claude build, monitor and analyse experiments. And WordPress MCP lets Claude make the fixes it recommends directly on your site, as drafts for you to approve. Claude ties it all together in natural language, finding the connections between data sources that no single tool can see.

The SEO and CRO landscapes will keep changing. New ranking factors, new user behaviours, new conversion patterns. But the fundamentals of this approach — connecting Claude to your real data and asking it the right questions — will scale with those changes. The prompts will evolve, the tools will improve, and the stack will grow as new MCP connectors become available.

I hope this series has been useful. If you have questions about any of the setup steps, or prompts you’d like to share that have worked well on your own site, leave a comment below.